CN104217432A - Intracranial vessel bounding box automatic planning method and intracranial vessel bounding box automatic planning device - Google Patents
Intracranial vessel bounding box automatic planning method and intracranial vessel bounding box automatic planning device Download PDFInfo
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- 210000002551 anterior cerebral artery Anatomy 0.000 abstract 3
- 210000001841 basilar artery Anatomy 0.000 abstract 3
- 210000003657 middle cerebral artery Anatomy 0.000 abstract 3
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Abstract
The invention relates to the technical field of image processing, in particular to an intracranial vessel bounding box automatic planning method and an intracranial vessel bounding box automatic planning device, wherein the method comprises the following steps that: the position of an interested blood vessel in the Willis circle is located on the basis of head CTA three-dimensional volume data, wherein the interested blood vessel is the middle cerebral artery, the anterior cerebral artery or the basilar artery; when the interested blood vessel is the middle cerebral artery, the direction of the artery is analyzed according to the position of the middle cerebral artery, and a corresponding Willis circle bounding box is planned by aiming at different observation directions; when the interested blood vessel is the anterior cerebral artery, the Willis circle bounding box in the observation direction from the front side to the back side is planned according to the position of the anterior cerebral artery; and when the interested blood vessel is the basilar artery, the Willis circle bounding box in the observation direction from the back side to the front side is planned according to the position of the basilar artery. The technical scheme can realize the automatic planning of the bounding box and has the advantages of high planning efficiency and high planning precision.
Description
Technical field
The present invention relates to technical field of image processing, particularly relate to a kind of intracranial vessel bounding box automatic planning and device.
Background technology
Willis circle region is the important feature of intracranial vessel, also be the district occurred frequently of entocranial artery vascular lesion, doctor needs the 3 D rendering result according to Local C TA three-dimensional data, observe the features such as the position of blood vessel in willis circle region, structure and trend, to realize the diagnosis to entocranial artery vascular diseases.
Because willis circle region is blocked completely by highdensity skull, in order to realize the object of observing blood vessel in willis circle in 3 D rendering result in clinical practice, doctor needs manually planning to comprise willis circle bounding box, only draws the CTA three-dimensional data in bounding box during final 3 D rendering.Because the posture of patient cannot completely according to doctor ordered, and doctor is the position according to the patient's pose estimation bounding box preset, and when specific implementation doctor usually needs by repeatedly attempting determining a willis circle bounding box more accurately.This manual planning process visible is loaded down with trivial details, expend time in.
Summary of the invention
Embodiments provide a kind of intracranial vessel bounding box automatic planning and device, can automatically plan willis circle bounding box, its planning efficiency is high and precision is high.
First aspect, embodiments provides a kind of intracranial vessel bounding box automatic planning, comprising:
Based on the position of interested blood vessel in the willis circle of Cranial Computed Tomography A three-dimensional data location; Described interested blood vessel is arteria cerebri media, arteria cerebri anterior or basal arteries;
When described interested blood vessel is arteria cerebri media, according to the direction of this artery of position analysis of arteria cerebri media, for the willis circle bounding box that the planning of different observed rays is corresponding;
When described interested blood vessel is arteria cerebri anterior, plan the willis circle bounding box of observed ray from front to back according to the position of arteria cerebri anterior;
When described interested blood vessel is basal arteries, plan the willis circle bounding box of observed ray from back to front according to the position of basal arteries.
Preferably, described step of locating the position of interested blood vessel in willis circle based on Cranial Computed Tomography A three-dimensional data comprises:
Based on Cranial Computed Tomography A three-dimensional data determination skull middle layer, described skull middle layer is the shaft-like face of the brain corpus callosum centre of form;
According to the curved surface segmentation skull interior zone at bottom described skull middle layer to skull and skull top, obtain brain parenchyma section in skull;
The position of interested blood vessel in willis circle is searched in brain parenchyma section in described skull.
Preferably, the described segmentation of the curved surface according to bottom described skull middle layer to skull and skull top skull interior zone, the step obtaining brain parenchyma section in skull comprises:
Adopt bottom skull middle layer to skull described in the matching of Algorithm for Surface Fitting difference and the curved surface at described skull middle layer to skull top, obtain two curved surfaces;
Skull inner tissue in obtained two curved surfaces is defined as brain parenchyma section in skull.
Preferably, described step of searching the position of interested blood vessel in willis circle in described skull in brain parenchyma section comprises:
Adopt blood vessel structure detection method in described skull, in brain parenchyma section, search the potential site of interested blood vessel in willis circle;
Clustering procedure each potential anchor point from described potential site is adopted to select determining of interested blood vessel
Site, using the position of the position of anchor point as interested blood vessel in willis circle.
Preferably, described when described interested blood vessel is arteria cerebri media, according to the direction of this artery of position analysis of arteria cerebri media, the step for the willis circle bounding box of different observed rays planning correspondence comprises:
First from the position anchor point of arteria cerebri media, select multiple point, selected multiple points are connected between two and determines many branch lines, calculate the distance of all anchor points to every bar straight line more respectively, count for every bar straight line and be a little less than counting out of threshold value to the distance of straight line, obtain counting out of every bar line correspondences, the direction of the straight line that selected element number is maximum is as the direction of arteria cerebri media;
According to position and the direction of described arteria cerebri media, plan the willis circle bounding box of from left to right observed ray and/or observed ray from right to left; And/or,
According to the position of described arteria cerebri media, planning from front to back, from back to front, from top to bottom, appoint the willis circle bounding box of one or more observed ray to the end from pin.
Preferably, described method also comprises:
Multiple point is selected from the position anchor point of interested blood vessel, selected multiple points are connected between two and determines many branch lines, calculate the distance of all anchor points to every bar straight line more respectively, count for every bar straight line and be a little less than counting out of threshold value to the distance of straight line, obtain counting out of every bar line correspondences, the direction of the straight line that selected element number is maximum is as the direction of interested blood vessel;
According to position and the direction planning interested blood vessel bounding box of described interested blood vessel, this bounding box comprises all anchor points of described interested blood vessel, and its long axis direction is the direction of interested blood vessel.
Second aspect, embodiments provide the automatic device for planning of a kind of intracranial vessel bounding box, described device comprises:
Positioning unit, for the position based on interested blood vessel in the willis circle of Cranial Computed Tomography A three-dimensional data location; Described interested blood vessel is arteria cerebri media, arteria cerebri anterior or basal arteries;
First planning unit, for when described interested blood vessel is arteria cerebri media, according to the direction of this artery of position analysis of arteria cerebri media, for the willis circle bounding box that the planning of different observed rays is corresponding;
Second planning unit, for when described interested blood vessel is arteria cerebri anterior, plans the willis circle bounding box of observed ray from front to back according to the position of arteria cerebri anterior;
3rd planning unit, for when described interested blood vessel is basal arteries, plans the willis circle bounding box of observed ray from back to front according to the position of basal arteries.
Preferably, described positioning unit comprises:
Coupling subelement, for based on Cranial Computed Tomography A three-dimensional data determination skull middle layer, described skull middle layer is the shaft-like face of the brain corpus callosum centre of form;
Matching subelement, for the curved surface segmentation skull interior zone according to bottom described skull middle layer to skull and skull top, obtains brain parenchyma section in skull;
Determine subelement, for searching the position of interested blood vessel in willis circle in brain parenchyma section in described skull.
Preferably, described matching subelement comprises:
Surface fitting module, for adopting bottom skull middle layer to skull described in the matching of Algorithm for Surface Fitting difference and the curved surface at described skull middle layer to skull top, obtains two curved surfaces;
Area determination module, for being defined as brain parenchyma section in skull by the skull inner tissue in obtained two curved surfaces.
Preferably, describedly determine that subelement comprises:
Detection module, for the potential site adopting blood vessel structure detection method to search interested blood vessel in willis circle in brain parenchyma section in described skull;
Selecting module, selecting the anchor point of interested blood vessel, using the position of the position of anchor point as interested blood vessel in willis circle for adopting clustering procedure each potential anchor point from described potential site.
Preferably, described first planning unit comprises:
Determine director unit, for first selecting multiple point from the position anchor point of arteria cerebri media, selected multiple points are connected between two and determines many branch lines, calculate the distance of all anchor points to every bar straight line more respectively, count for every bar straight line and be a little less than counting out of threshold value to the distance of straight line, obtain counting out of every bar line correspondences, the direction of the straight line that selected element number is maximum is as the direction of arteria cerebri media;
First planning subelement, for according to the position of described arteria cerebri media and direction, plans the willis circle bounding box of from left to right observed ray and/or observed ray from right to left; And/or,
Second planning subelement, for the position according to described arteria cerebri media, planning from front to back, from back to front, from top to bottom, appoint the willis circle bounding box of one or more observed ray to the end from pin.
Preferably, described device also comprises:
Interested blood vessel direction-determining unit, for selecting multiple point from the position anchor point of interested blood vessel, selected multiple points are connected between two and determines many branch lines, calculate the distance of all anchor points to every bar straight line more respectively, count for every bar straight line and be a little less than counting out of threshold value to the distance of straight line, obtain counting out of every bar line correspondences, the direction of the straight line that selected element number is maximum is as the direction of interested blood vessel;
Interested blood vessel bounding box planning unit, for according to the position of described interested blood vessel and direction planning interested blood vessel bounding box, this bounding box comprises all anchor points of described interested blood vessel, and its long axis direction is the direction of interested blood vessel.
The technical scheme of the embodiment of the present invention compared with prior art, has following beneficial effect:
The technical scheme of the embodiment of the present invention, first orients the position of interested blood vessel in willis circle based on Cranial Computed Tomography A three-dimensional data; And then according to different vessel positions or the planning realizing the bounding box of corresponding observed ray according to the position of different blood vessels and direction.This technical scheme is mainly to scan the Cranial Computed Tomography A three-dimensional data that obtains for foundation, analyze the position of interested blood vessel in willis circle, with actual scanning data for higher according to its reliability, moreover the position according to the interested blood vessel oriented or the position according to interested blood vessel and direction just can be corresponding the willis circle bounding box cooking up different observed ray, whole process participates in without the need to doctor or other operating personnel, and its precision automatically planned is high.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, the accompanying drawing that the following describes is only some embodiments recorded in the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is the process flow diagram of intracranial vessel bounding box automatic planning embodiment 1 of the present invention;
Fig. 2 is the process flow diagram of the localization method of interested blood vessel provided by the invention;
Fig. 3 is skull middle layer provided by the invention locating template schematic diagram;
Fig. 4 is the process flow diagram of intracranial vessel bounding box automatic planning embodiment 2 of the present invention;
Fig. 5 is the structural drawing of the automatic device for planning embodiment 1 of intracranial vessel bounding box of the present invention.
Embodiment
Technical scheme in the present invention is understood better in order to make those skilled in the art person, below in conjunction with the accompanying drawing in the embodiment of the present invention, technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, should belong to the scope of protection of the invention.
See the process flow diagram that Fig. 1, Fig. 1 are the embodiment of the present invention 1 intracranial vessel bounding box automatic planning, the method comprises: S101 ~ S104.
S101, based on the position of interested blood vessel in the willis circle of Cranial Computed Tomography A three-dimensional data location; Described interested blood vessel is arteria cerebri media, arteria cerebri anterior or basal arteries.
Willis circle in actual clinical in skull is also referred to as cerebral arterial circle or willis ring, arteries in willis circle is the district occurred frequently of entocranial artery vascular lesion, doctor, in order to the symptom for intracranial vessel, needs with arteries in willis circle for foundation is diagnosed.In actual clinical, doctor wants to observe arteries in willis circle needs first to plan a suitable bounding box, then observes the 3 D rendering result for this bounding box.
Have the arteries such as arteria cerebri media, arteria cerebri anterior, basal arteries in willis circle, often kind of artery has its fixing relative position in willis circle, and based on this, willis circle position all can be determined in the position according to often kind of artery in willis circle.When specific implementation, the willis circle bounding box of corresponding observed ray can be cooked up by the position of any one artery in willis circle.
Because artery positions different in willis circle is different, consider that the basic data that different observed rays needs is different, therefore, in physical planning, utilize different artery positions can only plan the willis circle bounding box of wherein one or more observed rays, realize by each step below the planning realizing corresponding willis circle bounding box for arteries different in willis circle respectively.
Step 102, when described interested blood vessel is arteria cerebri media, according to the direction of this artery of position analysis of arteria cerebri media, for the willis circle bounding box that the planning of different observed rays is corresponding.
When specific implementation, doctor needs the willis circle bounding box of one or more observed ray, and concrete observed ray comprises: from top to bottom, from pin to the end, from front to back, from back to front, from left to right, the observed ray such as from right to left.
Due to planning from left to right, the willis circle bounding box of dextrosinistral observed ray time, outside the position not only needing interested blood vessel in willis circle, also need the direction of interested blood vessel, to ensure the accurate planning of bounding box.Therefore, planning from left to right, the willis circle bounding box of dextrosinistral observed ray time, first analyze the direction of arteria cerebri media, then according to the willis circle bounding box of the position of arteria cerebri media and the observed ray of direction planning.
Due to planning from top to bottom, from pin to the end, from front to back, the willis circle bounding box of this four observed rays from back to front time, without the need to paying close attention to the direction of its blood vessel, therefore, the position of arteria cerebri media can be directly utilized to plan the willis circle bounding box of corresponding observed ray when physical planning.
Step 103, when described interested blood vessel is arteria cerebri anterior, plans the willis circle bounding box of observed ray from front to back according to the position of arteria cerebri anterior.
The relative position of arteria cerebri anterior in willis circle region determines the willis circle bounding box can only cooking up observed ray from front to back according to arteria cerebri anterior, therefore, be the position of arteria cerebri anterior in willis circle when what orient, then directly plan the willis circle bounding box of observed ray from front to back according to the position of arteria cerebri anterior.
When specific implementation, above-mentioned planning process is specially: first determine front border plane, this front border plane needs to guarantee that all anchor points of arteria cerebri anterior are all at the rear side of this front border plane, this front border plane is positioned at nearest arteria cerebri anterior certain distance scope, after the normal vector Vertical dimension of this front border plane; Other planes of this bounding box need the whole brain parenchyma section at least comprised after this front border plane.
Step 104, when described interested blood vessel is basal arteries, plans the willis circle bounding box of observed ray from back to front according to the position of basal arteries.
The relative position of basal arteries in willis circle determines can only the willis circle bounding box of planning department's observed ray from back to front according to basal arteries, therefore, when orienting the position of basal arteries in willis circle, then directly cook up the willis circle bounding box of observed ray from back to front according to the position of basal arteries.
When specific implementation, above-mentioned planning process is specially: determine rear border according to basal arteries anchor point, and this rear border needs to guarantee that all anchor points of basal arteries are before this boundary surface, and the normal vector of this boundary surface is before Vertical dimension.
Can be found out by the invention described above embodiment, the technical scheme of the embodiment of the present invention is mainly to scan the Cranial Computed Tomography A three-dimensional data that obtains for foundation, location obtains the position of interested blood vessel in willis circle, with actual scanning data for foundation makes its reliability higher, moreover the position according to the interested blood vessel oriented or the position according to interested blood vessel and direction just can be corresponding the willis circle bounding box cooking up different observed ray, whole process participates in without the need to doctor or other operating personnel, and its precision automatically planned is high.
Present invention also offers preferred implementation for above-mentioned steps S101, explanation is further explained to this preferred implementation below.Specifically can consult Fig. 2, Fig. 2 is the localization method of interested blood vessel provided by the invention.As seen in Figure 2, the method comprises:
S1011, based on Cranial Computed Tomography A three-dimensional data determination skull middle layer, described skull middle layer is the shaft-like face of the brain corpus callosum centre of form;
This step, when specific implementation, first will set up skull model in advance, utilizes the skull middle layer in this skull Model Matching current head CTA three-dimensional data.Explanation is further explained to the process of establishing of skull model below.
First scanning obtains Cranial Computed Tomography A three-dimensional data, select through the shaft-like face of the brain corpus callosum centre of form from head CTA three-dimensional data, the center of skull region is calculated according to the skull region of specifying on this shaft-like face of bone Threshold segmentation, this center can be the centre of form or the center of gravity in shaft-like facial bones region, from center, 360 degree of rotations send multiple ray successively, such as angularly send ray clockwise from center, record the intersection point of each ray and shaft-like facial bones area inside, skull model is set up by this center and all intersection points, the skull model established as shown in Figure 3.
When specific implementation, also first can set up multiple skull model in advance, then ask for an averaging model according to multiple skull model, using averaging model as most suitable skull model, utilize this skull model to participate in coupling and make coupling reliability higher.In actual applications, except setting up except skull model by center and all intersection points, it is also conceivable to the gray-scale value of the delta-shaped region be made up of center and two adjoining nodes, then can also set up skull model according to the gray-scale value of center, all intersection points and delta-shaped region.During specific implementation, specific aim and reliability is had more in order to make skull model, it is also conceivable to all ages and classes, the difformity of head of different sexes human body and size, like this based on the Cranial Computed Tomography A volume data of the human body of age-grade, same sex, same shape and same size (can be close), set up corresponding skull model to make matching operation more accurate.
After establishing skull model, utilize this skull Model Matching skull middle layer, explanation is further explained to this matching process below.
Cranial Computed Tomography A three-dimensional data its comprise the data in multiple shaft-like face, but only have a shaft-like face to be skull middle layer in multiple shaft-like face, therefore the essence of matching operation is from CTA three-dimensional data, select a shaft-like face the highest with skull distortion, using this shaft-like face as skull middle layer corresponding to CTA three-dimensional data.Explanation is further explained to matching process below.
First, according to certain bone threshold value, bony areas segmentation is carried out to each shaft-like face of head CTA three-dimensional data, the region selecting UNICOM's area maximum from each shaft-like face, calculate the center in this region, this center can be position of form center or centre of gravity place equally, in order to ensure the reliability of mating, center is selected and skull model same-type position of form center or centre of gravity place, and from center, 360 degree of rotations send multiple ray successively.Such as angularly send ray clockwise from center, record the intersection point of each ray and shaft-like facial bones area inside, if do not intersected, this intersection point is set to infinite distance; Using corresponding for an each shaft-like face center and multiple intersection point as the shape description structure in each shaft-like face, the shape description structure in each shaft-like face and skull model are carried out comparison in difference to select skull middle layer.Each shaft-like face contrasts in the following manner:
Is alignd with the center of skull model in the center of the shape description structure in each shaft-like face, calculate the distance difference of corresponding bone edges intersection point, difference less both explanations similarity is higher, finally selects the shaft-like face minimum with skull model difference as skull middle layer.Certainly, if skull model also has the gray-scale value of delta-shaped region, then also need the similarity considering gray-scale value in matching process.
S1012, according to the curved surface segmentation skull interior zone at bottom described skull middle layer to skull and skull top, obtains brain parenchyma section in skull.
When specific implementation, this step can realize in the following manner, comprising:
Adopt bottom skull middle layer to skull described in the matching of Algorithm for Surface Fitting difference and the curved surface at described skull middle layer to skull top, obtain two curved surfaces;
Skull inner tissue in obtained two curved surfaces is defined as brain parenchyma section in skull.
Wherein in skull, brain parenchyma section comprises ectocinerea, white matter of brain, blood vessel etc., and all blood vessels in willis circle are all positioned at brain essence.According to the skull middle layer that above-mentioned steps is determined, skull and brain essence are divided into upper and lower two parts, below following Brain essence deterministic process be that example is described its ultimate principle.
When specific implementation, utilize edge detection operator as Canny, bone edges is detected in each sagittal plane respectively in Cranial Computed Tomography A three-dimensional data of Sobel operator and coronal-plane, inside the skull that skull middle layer is corresponding, boundary position can correspond to skull inner side before and after in each sagittal plane respectively, search for the shortest path connecting front and back position inside the skull of middle layer along bone edges, this searching method can obtain as D ijkstra algorithm by the method solving shortest path, mulitpath can be obtained by the sagittal plane of diverse location and coronal-plane, these paths are all the paths of the skull Internal periphery connecting skull sagittal plane and coronal-plane inside skull.Under the sagittal plane detected and coronal-plane path point being mapped to Cranial Computed Tomography A three-dimensional data coordinate system, utilize surface fitting or level and smooth method can obtain curved surface bottom a skull middle layer to skull according to these skull marginal points, curved surface fitting method can use the method such as spline-fitting, least square fitting.More than this curved surface be lower part brain essence to the tissue in the skull of skull middle layer.Based on same principle, can obtain skull middle layer to the brain essence in skull top and upper part brain essence, skull internal brain essence comprises upper part brain essence and lower part brain essence.
S1013, searches the position of interested blood vessel in willis circle in described skull in brain parenchyma section.
When specific implementation, this step can realize in the following manner, comprising:
Adopt blood vessel structure detection method in described skull, in brain parenchyma section, search the potential site of interested blood vessel in willis circle; Clustering procedure each potential anchor point from described potential site is adopted to select the anchor point of interested blood vessel, using the position of the position of anchor point as interested blood vessel in willis circle.When specific implementation, the blood vessel structure of the filter detection tubulose that the eigenwert based on the gloomy matrix of the multiple dimensioned Chinese (H essian Matrix) can be adopted to set up, thus determine the potential site of interested blood vessel.In addition, present invention also offers the another kind of method detecting the potential site of interested blood vessel, comprising:
First, in skull, in brain parenchyma section, position calculation specifies the gray scale smoothness in radius one by one, this gray scale smoothness can be the variance in this regional extent, this region is met the radius r of maximum radius as this regional vessel of gray scale smoothness threshold.Then, the UNICOM's row met between the position of gray scale smoothness threshold is judged in certain limit outside this radius, namely, the connectivity meeting whole location points of blood vessel gray threshold is judged in radius r+n scope, if there is the constraint condition of Liang Ge UNICOM region conforms vascular cross-section, using the potential site of these location points as interested blood vessel.
Above-mentioned constraint condition can be: the area in cross section meets certain limit, and this range size can calculate according to the radius r detected and obtain; Constraint condition can also be: the gray variance in cross section is less than the gray variance within the scope of the radius r that detected; Constraint condition can also be: cross section exists under meeting certain threshold condition and the point of the blood vessel center UNICOM detected.Constraint condition can also be: cross section exists the blood vessel center point that the maximum radius meeting gray scale smoothness threshold is r.These constraint conditions can be used alone, and also can use in any combination.
When specific implementation, above-mentioned clustering procedure can adopt the position of hierarchical clustering method determination interested blood vessel, is further explained explanation below to the specific implementation process of hierarchical clustering method.
First each anchor point of the potential site of the artery interested detected is seen as a class, in setting class, all the minimum euclidean distance of element and another kind of whole element is the distance between two classes, using the center of the center of gravity of all elements in each class as such; Then the distance between every two classes is calculated successively, when the distance of two classes meets predeterminable range threshold value, and the angle in two class center positions and blood vessel UNICOM direction meets default angle threshold value, these two classes are merged into a class, upgrade the center of the class after merging, so circulation performs merging treatment until all classes all cannot remerge simultaneously; Finally will there is in that maximum class of element whole element as the anchor point of interested blood vessel.
Because the structure of arteria cerebri media, basal arteries, arteria cerebri anterior is different, when specific implementation, its blood vessel UNICOM direction is also different, the blood vessel UNICOM direction of arteria cerebri media is left and right trend, and the blood vessel UNICOM direction of basal arteries and arteria cerebri anterior is a pin trend (namely moving towards up and down).
Most pathology appears at the position of arteria cerebri media blood vessel in willis circle in clinical practice, and arteria cerebri media blood vessel is the most obvious a kind of arteries of willis circle inner structure feature; Based on this, embodiments provide with arteria cerebri media the preferred version of the willis circle bounding box planing method being benchmark.
See the process flow diagram that Fig. 4, Fig. 4 are intracranial vessel bounding box automatic planning embodiment 2 of the present invention, the method comprises:
S201, based on the position of arteria cerebri media in the willis circle of Cranial Computed Tomography A three-dimensional data location.
This step is identical with step S101 in said method embodiment 1, does not repeat them here.
S202, according to the direction of this artery of position analysis of arteria cerebri media, for the willis circle bounding box that the planning of different observed rays is corresponding.
When specific implementation, for the planning of the willis circle bounding box of some observed ray, the position of arteria cerebri media is not only needed also to need the direction of arteria cerebri media; And the planning of the willis circle bounding box of some observed ray, only need the position of arteria cerebri media to realize; Therefore, also can determine by observed ray the direction whether analyzing arteria cerebri media, and then plan bounding box pointedly.
Consider in actual clinical, doctor usually needs from multiple observation willis circle structure, and therefore the present embodiment first analyzes the direction of arteria cerebri media, for follow-up planning bounding box is laid a solid foundation.
When specific implementation, this step can realize in the following manner, comprising: S2021 ~ S2023
S2021, first from the position anchor point of arteria cerebri media, select multiple point, selected multiple points are connected between two and determines many branch lines, calculate the distance of all anchor points to every bar straight line more respectively, count and be a little less than counting out of threshold value to the distance of straight line, obtain counting out of every bar line correspondences, the direction of the straight line that selected element number is maximum is as the direction of arteria cerebri media;
S2022, according to position and the direction of described arteria cerebri media, plans the willis circle bounding box of from left to right observed ray and/or observed ray from right to left; And/or,
S2023, according to the position of described arteria cerebri media, planning from front to back, from back to front, from top to bottom, appoint the willis circle bounding box of one or more observed ray to the end from pin.
When specific implementation, S2022 and S2023 can select one and realize, and also can both realize.When S2022 realizes the planning of the bounding box of from left to right observed ray, physical planning process is as follows:
Determine the center of willis circle according to the position of arteria cerebri media, this center is the relative centre position of left and right brain medium sized artery anchor point; Using the normal vector of arteria cerebri media direction, right side as plane, a plane is determined with this normal vector by the center of willis circle, using the left border face of this plane as bounding box, other boundary surfaces of bounding box only need at least to comprise left border whole brain parenchyma section to the right.
When S2022 realizes the planning of the bounding box of observed ray from right to left, physical planning process is as follows:
Determine the center of willis circle according to the position of arteria cerebri media, this center is the relative centre position of left and right brain medium sized artery anchor point; Using the normal vector of arteria cerebri media direction, left side as plane, a plane is determined with this normal vector by the center of willis circle, using the right edge interface of this plane as bounding box, other boundary surfaces of bounding box only need at least to comprise right side boundary whole brain parenchyma section left.
When S2023 realizes the planning of the bounding box of observed ray from front to back, physical planning process is as follows:
First front border plane is determined, this front border plane needs to guarantee that whole arteria cerebri media location point is all at the rear side of this front border plane, this front border plane is positioned at nearest arteria cerebri media anchor point certain distance scope, after the normal vector Vertical dimension of this front border plane; Other planes of this bounding box need at least to comprise frontal plane after whole brain parenchyma section.
When S2023 realizes the planning of the bounding box of observed ray from back to front, physical planning process is as follows:
Obtain skull center according to position, skull middle layer, using the coronal-plane at this place, center as rear border, this rear border needs the anchor point comprising left and right sides arteria cerebri media fully.
When S2023 realizes the planning of the bounding box of observed ray from top to bottom, physical planning process is as follows:
According to skull middle layer and brain parenchyma section scope, determine the position at place, bounding box coboundary and the position at lower boundary place, this bounding box coboundary is place, skull middle layer plane, and lower boundary is the extreme lower position having split brain essence direction from top to bottom, and its normal vector is vertically downward; Other borders of this bounding box then must surround whole brain parenchyma section in below skull middle layer.
When S2023 realizes the planning from the pin bounding box of observed ray to the end, physical planning process is as follows:
According to the following interface of arteria cerebri media anchor point determination bounding box, this following interface needs to guarantee that whole anchor points of arteria cerebri media are all more than this plane, this lower boundary is positioned at nearest arteria cerebri media anchor point certain distance scope, and the planar process vector normal of this lower boundary upwards; Other planes of bounding box at least surround whole brain essence cut zone at more than following interface.
Further, present invention also offers preferred version, this preferred version is on the basis of said method embodiment 1 or embodiment 2, and add the operation of the bounding box of particular blood vessel in planning willis circle, this operation can meet the object that doctor observes particular blood vessel in willis circle.In planning willis circle, the operation of the bounding box of particular blood vessel is specifically:
Multiple point is selected from the position anchor point of interested blood vessel, selected multiple points are connected between two and determines many branch lines, calculate the distance of all anchor points to every bar straight line more respectively, count for every bar straight line and be a little less than counting out of threshold value to the distance of straight line, obtain counting out of every bar line correspondences, the direction of the straight line that selected element number is maximum is as the direction of interested blood vessel;
According to position and the direction planning interested blood vessel bounding box of described interested blood vessel, this bounding box comprises all anchor points of described interested blood vessel, and its long axis direction is the direction of interested blood vessel.Optionally, this bounding box can be rectangular parallelepiped or right cylinder.
Corresponding with the invention described above embodiment of the method 1, present invention also offers the automatic device for planning of a kind of intracranial vessel bounding box, consult Fig. 5, Fig. 5 is the structural drawing of the automatic device for planning embodiment 1 of intracranial vessel bounding box of the present invention, this device comprises: positioning unit 301, first planning unit 302, second planning unit 303 and the 3rd planning unit 304, and the specific works principle below in conjunction with this device is further explained explanation to each Elementary Function in its inside and annexation.
Positioning unit 301, for the position based on interested blood vessel in the willis circle of Cranial Computed Tomography A three-dimensional data location; Described interested blood vessel is arteria cerebri media, arteria cerebri anterior or basal arteries;
First planning unit 302, for when described interested blood vessel is arteria cerebri media, according to the direction of this artery of position analysis of arteria cerebri media, for the willis circle bounding box that the planning of different observed rays is corresponding;
Second planning unit 303, for when described interested blood vessel is arteria cerebri anterior, plans the willis circle bounding box of observed ray from front to back according to the position of arteria cerebri anterior;
3rd planning unit 304, for when described interested blood vessel is basal arteries, plans the willis circle bounding box of observed ray from back to front according to the position of basal arteries.
Further, described positioning unit comprises:
Coupling subelement, for based on Cranial Computed Tomography A three-dimensional data determination skull middle layer, described skull middle layer is the shaft-like face of the brain corpus callosum centre of form;
Matching subelement, for the curved surface segmentation skull interior zone according to bottom described skull middle layer to skull and skull top, obtains brain parenchyma section in skull;
Determine subelement, for searching the position of interested blood vessel in willis circle in brain parenchyma section in described skull.
Further, described matching subelement comprises:
Surface fitting module, for adopting bottom skull middle layer to skull described in the matching of Algorithm for Surface Fitting difference and the curved surface at described skull middle layer to skull top, obtains two curved surfaces;
Area determination module, for being defined as brain parenchyma section in skull by the skull inner tissue in obtained two curved surfaces.
Further, describedly determine that subelement comprises:
Detection module, for the potential site adopting blood vessel structure detection method to search interested blood vessel in willis circle in brain parenchyma section in described skull;
Selecting module, selecting the anchor point of interested blood vessel, using the position of the position of anchor point as interested blood vessel in willis circle for adopting clustering procedure each potential anchor point from described potential site.
Further, described first planning unit comprises:
Determine director unit, for first selecting multiple point from the position anchor point of arteria cerebri media, selected multiple points are connected between two and determines many branch lines, calculate the distance of all anchor points to every bar straight line more respectively, count for every bar straight line and be a little less than counting out of threshold value to the distance of straight line, obtain counting out of every bar line correspondences, the direction of the straight line that selected element number is maximum is as the direction of arteria cerebri media;
First planning subelement, for according to the position of described arteria cerebri media and direction, plans the willis circle bounding box of from left to right observed ray and/or observed ray from right to left; And/or,
Second planning subelement, for the position according to described arteria cerebri media, planning from front to back, from back to front, from top to bottom, appoint the willis circle bounding box of one or more observed ray to the end from pin.
Further, described device also comprises:
Interested blood vessel direction-determining unit, for selecting multiple point from the position anchor point of interested blood vessel, selected multiple points are connected between two and determines many branch lines, calculate the distance of all anchor points to every bar straight line more respectively, count for every bar straight line and be a little less than counting out of threshold value to the distance of straight line, obtain counting out of every bar line correspondences, the direction of the straight line that selected element number is maximum is as the direction of interested blood vessel;
Interested blood vessel bounding box planning unit, for according to the position of described interested blood vessel and direction planning interested blood vessel bounding box, this bounding box comprises all anchor points of described interested blood vessel, and its long axis direction is the direction of interested blood vessel.
Can be found out by the invention described above embodiment, the automatic device for planning of a kind of intracranial vessel bounding box provided by the invention, first orient the position of interested blood vessel in willis circle based on Cranial Computed Tomography A three-dimensional data; And then be the planning that position and direction realize the bounding box of corresponding observed ray according to different vessel positions or according to different blood vessels.This technical scheme is mainly to scan the Cranial Computed Tomography A three-dimensional data that obtains for foundation, analyze the position of interested blood vessel in willis circle, with actual scanning data for higher according to its reliability, moreover the position according to the interested blood vessel oriented or the position according to interested blood vessel and direction just can be corresponding the willis circle bounding box cooking up different observed ray, whole process participates in without the need to doctor or other operating personnel, and its precision automatically planned is high.
It should be noted that, in this article, the such as relational terms of first and second grades and so on is only used for an entity or operation to separate with another entity or operational zone, and not necessarily requires or imply the relation that there is any this reality between these entities or operation or sequentially.And, term " comprises ", " comprising " or its any other variant are intended to contain comprising of nonexcludability, thus make to comprise the process of a series of key element, method, article or equipment and not only comprise those key elements, but also comprise other key elements clearly do not listed, or also comprise by the intrinsic key element of this process, method, article or equipment.When not more restrictions, the key element limited by statement " comprising ... ", and be not precluded within process, method, article or the equipment comprising described key element and also there is other identical element.
The present invention can describe in the general context of computer executable instructions, such as program module.Usually, program module comprises the routine, program, object, assembly, data structure etc. that perform particular task or realize particular abstract data type.Also can put into practice the present invention in a distributed computing environment, in these distributed computing environment, be executed the task by the remote processing devices be connected by communication network.In a distributed computing environment, program module can be arranged in the local and remote computer-readable storage medium comprising memory device.
The above is only the specific embodiment of the present invention; it should be pointed out that for those skilled in the art, under the premise without departing from the principles of the invention; can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.
Claims (12)
1. an intracranial vessel bounding box automatic planning, is characterized in that, described method comprises:
Based on the position of interested blood vessel in the willis circle of Cranial Computed Tomography A three-dimensional data location; Described interested blood vessel is arteria cerebri media, arteria cerebri anterior or basal arteries;
When described interested blood vessel is arteria cerebri media, according to the direction of this artery of position analysis of arteria cerebri media, for the willis circle bounding box that the planning of different observed rays is corresponding;
When described interested blood vessel is arteria cerebri anterior, plan the willis circle bounding box of observed ray from front to back according to the position of arteria cerebri anterior;
When described interested blood vessel is basal arteries, plan the willis circle bounding box of observed ray from back to front according to the position of basal arteries.
2. method according to claim 1, is characterized in that, described step of locating the position of interested blood vessel in willis circle based on Cranial Computed Tomography A three-dimensional data comprises:
Based on Cranial Computed Tomography A three-dimensional data determination skull middle layer, described skull middle layer is the shaft-like face of the brain corpus callosum centre of form;
According to the curved surface segmentation skull interior zone at bottom described skull middle layer to skull and skull top, obtain brain parenchyma section in skull;
The position of interested blood vessel in willis circle is searched in brain parenchyma section in described skull.
3. method according to claim 2, is characterized in that, the described segmentation of the curved surface according to bottom described skull middle layer to skull and skull top skull interior zone, and the step obtaining brain parenchyma section in skull comprises:
Adopt bottom skull middle layer to skull described in the matching of Algorithm for Surface Fitting difference and the curved surface at described skull middle layer to skull top, obtain two curved surfaces;
Skull inner tissue in obtained two curved surfaces is defined as brain parenchyma section in skull.
4. method according to claim 2, is characterized in that, described step of searching the position of interested blood vessel in willis circle in described skull in brain parenchyma section comprises:
Adopt blood vessel structure detection method in described skull, in brain parenchyma section, search the potential site of interested blood vessel in willis circle;
Clustering procedure each potential anchor point from described potential site is adopted to select determining of interested blood vessel
Site, using the position of the position of anchor point as interested blood vessel in willis circle.
5. method according to any one of claim 1 to 4, it is characterized in that, described when described interested blood vessel is arteria cerebri media, according to the direction of this artery of position analysis of arteria cerebri media, the step for the willis circle bounding box of different observed rays planning correspondence comprises:
First from the position anchor point of arteria cerebri media, select multiple point, selected multiple points are connected between two and determines many branch lines, calculate the distance of all anchor points to every bar straight line more respectively, count for every bar straight line and be a little less than counting out of threshold value to the distance of straight line, obtain counting out of every bar line correspondences, the direction of the straight line that selected element number is maximum is as the direction of arteria cerebri media;
According to position and the direction of described arteria cerebri media, plan the willis circle bounding box of from left to right observed ray and/or observed ray from right to left; And/or,
According to the position of described arteria cerebri media, planning from front to back, from back to front, from top to bottom, appoint the willis circle bounding box of one or more observed ray to the end from pin.
6. the method according to any one of Claims 1-4, is characterized in that, described method also comprises:
Multiple point is selected from the position anchor point of interested blood vessel, selected multiple points are connected between two and determines many branch lines, calculate the distance of all anchor points to every bar straight line more respectively, count for every bar straight line and be a little less than counting out of threshold value to the distance of straight line, obtain counting out of every bar line correspondences, the direction of the straight line that selected element number is maximum is as the direction of interested blood vessel;
According to position and the direction planning interested blood vessel bounding box of described interested blood vessel, this bounding box comprises all anchor points of described interested blood vessel, and its long axis direction is the direction of interested blood vessel.
7. the automatic device for planning of intracranial vessel bounding box, is characterized in that, described device comprises:
Positioning unit, for the position based on interested blood vessel in the willis circle of Cranial Computed Tomography A three-dimensional data location; Described interested blood vessel is arteria cerebri media, arteria cerebri anterior or basal arteries;
First planning unit, for when described interested blood vessel is arteria cerebri media, according to the direction of this artery of position analysis of arteria cerebri media, for the willis circle bounding box that the planning of different observed rays is corresponding;
Second planning unit, for when described interested blood vessel is arteria cerebri anterior, plans the willis circle bounding box of observed ray from front to back according to the position of arteria cerebri anterior;
3rd planning unit, for when described interested blood vessel is basal arteries, plans the willis circle bounding box of observed ray from back to front according to the position of basal arteries.
8. device according to claim 7, is characterized in that, described positioning unit comprises:
Coupling subelement, for based on Cranial Computed Tomography A three-dimensional data determination skull middle layer, described skull middle layer is the shaft-like face of the brain corpus callosum centre of form;
Matching subelement, for the curved surface segmentation skull interior zone according to bottom described skull middle layer to skull and skull top, obtains brain parenchyma section in skull;
Determine subelement, for searching the position of interested blood vessel in willis circle in brain parenchyma section in described skull.
9. device according to claim 8, is characterized in that, described matching subelement comprises:
Surface fitting module, for adopting bottom skull middle layer to skull described in the matching of Algorithm for Surface Fitting difference and the curved surface at described skull middle layer to skull top, obtains two curved surfaces;
Area determination module, for being defined as brain parenchyma section in skull by the skull inner tissue in obtained two curved surfaces.
10. device according to claim 8, is characterized in that, describedly determines that subelement comprises:
Detection module, for the potential site adopting blood vessel structure detection method to search interested blood vessel in willis circle in brain parenchyma section in described skull;
Selecting module, selecting the anchor point of interested blood vessel, using the position of the position of anchor point as interested blood vessel in willis circle for adopting clustering procedure each potential anchor point from described potential site.
11. devices according to any one of claim 7 to 10, it is characterized in that, described first planning unit comprises:
Determine director unit, for first selecting multiple point from the position anchor point of arteria cerebri media, selected multiple points are connected between two and determines many branch lines, calculate the distance of all anchor points to every bar straight line more respectively, count for every bar straight line and be a little less than counting out of threshold value to the distance of straight line, obtain counting out of every bar line correspondences, the direction of the straight line that selected element number is maximum is as the direction of arteria cerebri media;
First planning subelement, for according to the position of described arteria cerebri media and direction, plans the willis circle bounding box of from left to right observed ray and/or observed ray from right to left; And/or,
Second planning subelement, for the position according to described arteria cerebri media, planning from front to back, from back to front, from top to bottom, appoint the willis circle bounding box of one or more observed ray to the end from pin.
12. devices according to any one of claim 7 to 10, it is characterized in that, described device also comprises:
Interested blood vessel direction-determining unit, for selecting multiple point from the position anchor point of interested blood vessel, selected multiple points are connected between two and determines many branch lines, calculate the distance of all anchor points to every bar straight line more respectively, count for every bar straight line and be a little less than counting out of threshold value to the distance of straight line, obtain counting out of every bar line correspondences, the direction of the straight line that selected element number is maximum is as the direction of interested blood vessel;
Interested blood vessel bounding box planning unit, for according to the position of described interested blood vessel and direction planning interested blood vessel bounding box, this bounding box comprises all anchor points of described interested blood vessel, and its long axis direction is the direction of interested blood vessel.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109820537A (en) * | 2018-12-05 | 2019-05-31 | 余姚市华耀工具科技有限公司 | Calculus is distributed test platform |
| CN111445575A (en) * | 2020-04-01 | 2020-07-24 | 沈阳先进医疗设备技术孵化中心有限公司 | Image reconstruction method and device of Wirisi ring, electronic device and storage medium |
| CN114882172A (en) * | 2022-04-26 | 2022-08-09 | 青岛埃米博创医疗科技有限公司 | Rapid generation method of blood vessel teaching aid based on automatic advancing of bounding box |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050113680A1 (en) * | 2003-10-29 | 2005-05-26 | Yoshihiro Ikeda | Cerebral ischemia diagnosis assisting apparatus, X-ray computer tomography apparatus, and apparatus for aiding diagnosis and treatment of acute cerebral infarct |
| CN101313844A (en) * | 2007-05-31 | 2008-12-03 | 金寿山 | Analytical system and analytical method for property of blood vessel of brain and blood flow behavior |
| CN101504804A (en) * | 2009-03-04 | 2009-08-12 | 西安交通大学 | Tri-dimensional blood flow simulation experiment apparatus for encephalic Willis ring |
| CN103020968A (en) * | 2012-12-21 | 2013-04-03 | 东软集团股份有限公司 | Head and neck CTA (computed tomography angiography) image layering method and device |
-
2014
- 2014-08-29 CN CN201410438529.1A patent/CN104217432B/en not_active Expired - Fee Related
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050113680A1 (en) * | 2003-10-29 | 2005-05-26 | Yoshihiro Ikeda | Cerebral ischemia diagnosis assisting apparatus, X-ray computer tomography apparatus, and apparatus for aiding diagnosis and treatment of acute cerebral infarct |
| CN101313844A (en) * | 2007-05-31 | 2008-12-03 | 金寿山 | Analytical system and analytical method for property of blood vessel of brain and blood flow behavior |
| CN101504804A (en) * | 2009-03-04 | 2009-08-12 | 西安交通大学 | Tri-dimensional blood flow simulation experiment apparatus for encephalic Willis ring |
| CN103020968A (en) * | 2012-12-21 | 2013-04-03 | 东软集团股份有限公司 | Head and neck CTA (computed tomography angiography) image layering method and device |
Non-Patent Citations (1)
| Title |
|---|
| 张之营 等: "三维CT脑血管造影在诊断和治疗颅内动脉瘤中的应用", 《中国医刊》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109820537A (en) * | 2018-12-05 | 2019-05-31 | 余姚市华耀工具科技有限公司 | Calculus is distributed test platform |
| CN109820537B (en) * | 2018-12-05 | 2022-02-01 | 郭林 | Calculus distribution detection platform |
| CN111445575A (en) * | 2020-04-01 | 2020-07-24 | 沈阳先进医疗设备技术孵化中心有限公司 | Image reconstruction method and device of Wirisi ring, electronic device and storage medium |
| CN111445575B (en) * | 2020-04-01 | 2023-09-29 | 沈阳先进医疗设备技术孵化中心有限公司 | Image reconstruction method and device of Willis ring, electronic equipment and storage medium |
| CN114882172A (en) * | 2022-04-26 | 2022-08-09 | 青岛埃米博创医疗科技有限公司 | Rapid generation method of blood vessel teaching aid based on automatic advancing of bounding box |
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