CN103810752A - Liver segmenting method based on medical image and liver segmenting system thereof - Google Patents
Liver segmenting method based on medical image and liver segmenting system thereof Download PDFInfo
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- CN103810752A CN103810752A CN201410054600.6A CN201410054600A CN103810752A CN 103810752 A CN103810752 A CN 103810752A CN 201410054600 A CN201410054600 A CN 201410054600A CN 103810752 A CN103810752 A CN 103810752A
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Abstract
The invention provides a liver segmenting method based on a medical image and a liver segmenting system thereof. The method comprises the following steps: acquiring a three-dimensional reconstructed image of a liver and a three-dimensional reconstructed image of a portal vein in the liver; determining each branch of the portal vein according to the three-dimensional reconstructed image of the portal vein; partitioning the three-dimensional reconstructed image of the liver into a plurality of cubic blocks of predetermined sizes; partitioning the dominance area of each branch of the portal vein on the three-dimensional reconstructed image of the liver according to a corresponding relation between each cubic block and each branch of the portal vein; segmenting the three-dimensional reconstructed image of the liver according to the dominance area of each branch of the portal vein. By adopting the technical scheme, a specific liver segmenting method can be selected flexibly specific to the liver characteristics of different patients (namely, the distribution situations of portal veins), and the accuracy of the liver segmentation is increased.
Description
Technical field
The present invention relates to digital medical field, in particular to a kind of liver subsection method and a kind of liver subsection system based on medical image based on medical image.
Background technology
Along with operating development, precisely operation is had higher requirement to computing machine PACK, and in hepatobiliary surgery, doctor in the preoperative just need to be to the lesion region of liver, and carries out detailed understanding with the dominance relation of blood vessel.
By means of computing machine 3D imaging system and liver subsection technology, doctor just can have clear, directly perceived, three-dimensional assurance to the relation between each tissue in liver in the preoperative, and can implement according to liver automatic segmentation result judgement operation, thereby make doctor before operation, carry out detailed planning, in surgical procedure, precisely excision cancerous issue reduces health tissues damage.In addition, liver subsection result will guarantee that excision wherein can not affect the function of other parts after one section, thorough removal of lesions was with guarantee to obtain accurate balance between residual liver function, only in this way could provide guidance and reference for clinical operation.
Because three-dimensional reconstruction and virtual operation are all the features based on individual patients information, therefore must meet the requirement of individual difference alienation.Existing liver subsection method, for example Couinaud discrete method, be mainly according to pylic characteristic distributions, in the direction of the clock liver be divided into caudate lobe section, left outside leaf epimere, left outside leaf hypomere, left inside leaf, right front leaf hypomere, right back leaf hypomere, right back leaf epimere, right front leaf epimere.This to the segmentation method of liver machinery do not consider individual difference (be different patients' portal vein distribute there are differences) and the liver variation that often occurs clinically (liver shape changes, and pylic distribution also changes) situation, therefore, if the liver for all patients all mechanically carries out segmentation according to above segmentation method, can cause the inaccurate of liver subsection, Clinical significance of MG is little.
Therefore, how can choose targetedly liver subsection method for the problems referred to above carries out segmentation to liver neatly and becomes technical matters urgently to be resolved hurrily.
Summary of the invention
The present invention just based on above-mentioned technical matters one of at least, a kind of new liver subsection technology is provided, can be according to pylic branch situation in liver, and the liver area corresponding with pylic Mei Tiao branch, the three-dimensional reconstruction image of liver is carried out to segmentation, the liver feature (being pylic distribution situation) making it possible to for different patients is chosen liver subsection method targetedly neatly, has avoided that each patient's liver is carried out to segmentation according to the profile of liver and has caused the inaccurate of segmentation result.
In view of this, the invention provides a kind of liver subsection method based on medical image, comprising: obtain the three-dimensional reconstruction image of liver, and pylic three-dimensional reconstruction image in described liver; According to described pylic three-dimensional reconstruction image, determine described pylic Mei Tiao branch; The three-dimensional reconstruction image of described liver is divided into the cube piece of multiple predetermineds; According to the corresponding relation of each described cube piece and described pylic Mei Tiao branch, on the three-dimensional reconstruction image of described liver, divide the domination region of described pylic Mei Tiao branch; According to the domination region of described pylic Mei Tiao branch, the three-dimensional reconstruction image of described liver is carried out to segmentation.
In this technical scheme, by the three-dimensional reconstruction image of liver being divided into multiple cube pieces, and judge respectively the corresponding relation between each cube piece and pylic Mei Tiao branch, judge in this cube piece and whether comprise branch of portal vein, and then choose the cube piece corresponding with pylic Mei Tiao branch, by each the piece region on liver is all traveled through to analysis, make it possible to more accurately to divide the domination region (i.e. the cube piece corresponding with Mei Tiao branch) of pylic Mei Tiao branch, thereby in the time that liver is carried out to segmentation, can be neatly according to the domination region of pylic Mei Tiao branch, liver be carried out to segmentation, can choose neatly liver subsection method targetedly for different patients' liver feature (being the distribution situation of portal vein in liver), avoid each patient's liver mechanically to carry out segmentation (as Couinaud discrete method) and cause the inaccurate of segmentation result, dirigibility and the accuracy of liver subsection are improved.Wherein, domination region is and closely associated region of branch of portal vein, by dividing the domination region of pylic Mei Tiao branch, makes after to liver subsection, and each section can both be relatively independent, excises the function that can not have influence on other parts after arbitrary section.
In addition, in the time that the three-dimensional reconstruction image of liver is carried out to piecemeal, be not limited to and only the three-dimensional reconstruction image of liver be divided into multiple cube pieces, also the three-dimensional reconstruction image of liver can be divided into multiple rectangular parallelepiped pieces, can also be divided into multiple spheroid pieces etc., and judge successively the corresponding relation between each rectangular parallelepiped piece or spheroid piece and pylic Mei Tiao branch, to determine the domination region of pylic Mei Tiao branch.
According to a further aspect in the invention, also propose a kind of liver subsection system based on medical image, having comprised: image acquisition unit, for obtaining the three-dimensional reconstruction image of liver, and pylic three-dimensional reconstruction image in described liver; Processing unit, for according to described pylic three-dimensional reconstruction image, determines described pylic Mei Tiao branch; Division unit, for the three-dimensional reconstruction image of described liver being divided into the cube piece of multiple predetermineds, and according to the corresponding relation of each described cube piece and described pylic Mei Tiao branch, on the three-dimensional reconstruction image of described liver, divide the domination region of described pylic Mei Tiao branch; Segmenting unit, for carrying out segmentation according to the domination region of described pylic Mei Tiao branch to the three-dimensional reconstruction image of described liver.
In this technical scheme, by the three-dimensional reconstruction image of liver being divided into multiple cube pieces, and judge respectively the corresponding relation between each cube piece and pylic Mei Tiao branch, judge in this cube piece and whether comprise branch of portal vein, and then choose the cube piece corresponding with pylic Mei Tiao branch, by each the piece region on liver is all traveled through to analysis, make it possible to more accurately to divide the domination region (i.e. the cube piece corresponding with Mei Tiao branch) of pylic Mei Tiao branch, thereby in the time that liver is carried out to segmentation, can be neatly according to the domination region of pylic Mei Tiao branch, liver be carried out to segmentation, can choose neatly liver subsection method targetedly for different patients' liver feature (being the distribution situation of portal vein in liver), avoid each patient's liver mechanically to carry out segmentation (as Couinaud discrete method) and cause the inaccurate of segmentation result, dirigibility and the accuracy of liver subsection are improved.Wherein, domination region is and closely associated region of branch of portal vein, by dividing the domination region of pylic Mei Tiao branch, makes after to liver subsection, and each section can both be relatively independent, excises the function that can not have influence on other parts after arbitrary section.
In addition, in the time that the three-dimensional reconstruction image of liver is carried out to piecemeal, be not limited to and only the three-dimensional reconstruction image of liver be divided into multiple cube pieces, also the three-dimensional reconstruction image of liver can be divided into multiple rectangular parallelepiped pieces, can also be divided into multiple spheroid pieces etc., and judge successively the corresponding relation between each rectangular parallelepiped piece or spheroid piece and pylic Mei Tiao branch, to determine the domination region of pylic Mei Tiao branch.
Accompanying drawing explanation
Fig. 1 shows the schematic flow diagram of the liver subsection method based on medical image according to an embodiment of the invention;
Fig. 2 shows the schematic block diagram of the liver subsection system based on medical image according to an embodiment of the invention;
Fig. 3 shows the schematic flow diagram of the liver subsection method based on medical image according to another embodiment of the invention;
Fig. 4 shows portal vein hierarchy schematic diagram according to an embodiment of the invention;
Fig. 5 shows the partition process schematic diagram in the domination region of branch of portal vein according to an embodiment of the invention.
Embodiment
In order more clearly to understand above-mentioned purpose of the present invention, feature and advantage, below in conjunction with the drawings and specific embodiments, the present invention is further described in detail.It should be noted that, in the situation that not conflicting, the feature in the application's embodiment and embodiment can combine mutually.
Set forth in the following description a lot of details so that fully understand the present invention, still, the present invention can also adopt other to be different from other modes described here and implement, and therefore, the present invention is not limited to the restriction of following public specific embodiment.
Fig. 1 shows the schematic flow diagram of the liver subsection method based on medical image according to an embodiment of the invention.
As shown in Figure 1, the liver subsection method based on medical image according to an embodiment of the invention, comprising: step 102, obtain the three-dimensional reconstruction image of liver, and pylic three-dimensional reconstruction image in described liver; Step 104, according to described pylic three-dimensional reconstruction image, determines described pylic Mei Tiao branch; Step 106, is divided into the three-dimensional reconstruction image of described liver the cube piece of multiple predetermineds; Step 108 according to the corresponding relation of each described cube piece and described pylic Mei Tiao branch, is divided the domination region of described pylic Mei Tiao branch on the three-dimensional reconstruction image of described liver; Step 110, carries out segmentation according to the domination region of described pylic Mei Tiao branch to the three-dimensional reconstruction image of described liver.
In this technical scheme, by the three-dimensional reconstruction image of liver being divided into multiple cube pieces, and judge respectively the corresponding relation between each cube piece and pylic Mei Tiao branch, judge in this cube piece and whether comprise branch of portal vein, and then choose the cube piece corresponding with pylic Mei Tiao branch, by each the piece region on liver is all traveled through to analysis, make it possible to more accurately to divide the domination region (i.e. the cube piece corresponding with Mei Tiao branch) of pylic Mei Tiao branch, thereby in the time that liver is carried out to segmentation, can be neatly according to the domination region of pylic Mei Tiao branch, liver be carried out to segmentation, can choose neatly liver subsection method targetedly for different patients' liver feature (being the distribution situation of portal vein in liver), avoid each patient's liver mechanically to carry out segmentation (as Couinaud discrete method) and cause the inaccurate of segmentation result, dirigibility and the accuracy of liver subsection are improved.Wherein, domination region is and closely associated region of branch of portal vein, by dividing the domination region of pylic Mei Tiao branch, makes after to liver subsection, and each section can both be relatively independent, excises the function that can not have influence on other parts after arbitrary section.
In addition, in the time that the three-dimensional reconstruction image of liver is carried out to piecemeal, be not limited to and only the three-dimensional reconstruction image of liver be divided into multiple cube pieces, also the three-dimensional reconstruction image of liver can be divided into multiple rectangular parallelepiped pieces, can also be divided into multiple spheroid pieces etc., and judge successively the corresponding relation between each rectangular parallelepiped piece or spheroid piece and pylic Mei Tiao branch, to determine the domination region of pylic Mei Tiao branch.
In technique scheme, preferably, described according to described pylic three-dimensional reconstruction image, determine that the step of described pylic Mei Tiao branch is specially: in described pylic three-dimensional reconstruction image, obtain described pylic center line; If 26 neighborhood region memories of arbitrary pixel are at least three pixels on described pylic center line, judge that described portal vein occurs branch at described arbitrary pixel place.
In this technical scheme, under normal circumstances, in the time not there is not branch in portal vein, on portal vein center line, in 26 neighborhood regions of arbitrary pixel, only there are two pixels, therefore can by 26 neighborhood region memories of arbitrary pixel on detecting gate vein center line pixel quantity carry out decision gate vein and whether occur branch.
In technique scheme, preferably, described according to described pylic three-dimensional reconstruction image, determine that the step of described pylic Mei Tiao branch is specially: in described pylic three-dimensional reconstruction image, obtain described pylic center line; If 26 neighborhood region memories of arbitrary pixel are at least three pixels on described pylic center line, described in further judging, at least three pixels, whether the pylic radius at each pixel position place is more than or equal to predetermined threshold, and in the time that the pylic radius at described at least three pixel middle finger fixation vegetarian refreshments positions place is more than or equal to predetermined threshold, judge that the portal vein at described specified pixel point position place is as the pylic branch at described arbitrary pixel position place.
In this technical scheme, on portal vein center line, 26 neighborhood region memories of arbitrary pixel are in the time of at least three pixels, also may be owing to having occurred burr at this pixel place, therefore the 26 neighborhood region memories that pass through arbitrary pixel on pylic center line are in the time of at least three pixels, further whether the pylic radius at each pixel position place in above-mentioned at least three pixels being more than or equal to predetermined threshold judges, can get rid of the situation that occurs burr on portal vein, improve the accuracy of judged result.
In technique scheme, preferably, according to the corresponding relation of each described cube piece and described pylic Mei Tiao branch, the step of dividing the domination region of described Mei Tiao branch on the three-dimensional reconstruction image of described liver is specially: only comprise a described pylic branch if specify in cube piece, described appointment cube piece is divided into the domination region of a described branch; In cube piece, comprise described pylic Duo Tiao branch if specify, the borderline region using described appointment cube piece as described Duo Tiao branch.
In this technical scheme, region when borderline region is liver subsection between each section and other sections.
In technique scheme, preferably, also comprise: do not comprise described pylic any branch if specify in cube piece, take described cube Kuai center as the centre of sphere, build virtual sphere take the rib length of described cube piece as diameter, and increase successively the diameter of described virtual sphere with the first predetermined value, until there is described pylic branch in described virtual sphere, and judge the described pylic numbers of branches comprising in described virtual sphere, if only there is a branch in described virtual sphere, described appointment cube piece is divided into the domination region of a described branch, if there is Duo Tiao branch in described virtual sphere, reduce successively the diameter of described virtual sphere with the second predetermined value, until in described virtual sphere, occur a described pylic branch, and described cube piece is divided into the domination region of a described branch.
In technique scheme, preferably, described in obtain the three-dimensional reconstruction image of liver step be specially: adopt level set dividing method to belly two-dimensional ct Image Segmentation Using, to obtain the sequence of partitions corresponding with liver; Adopt marching cubes algorithm to extract contour surface from the sequence of partitions corresponding with liver; The tri patch corresponding with described contour surface is optimized to processing; Adopt Laplce's smoothing technique, by default iterations, the tri patch through optimization process is carried out to smoothing processing; Contour surface to the tri patch after described smoothing processing splices, to obtain the three-dimensional reconstruction image of described liver.
In this technical scheme, marching cubes algorithm (Marching Cubes) can be distributed in the extraction of contour surface in each voxel and carry out, for each processed voxel, approach its inner contour surface with tri patch, in the time that the tri patch to after optimization process carries out smoothing processing, adopt Laplce's smoothing technique, and corresponding iterations is set, surperficial noise is reduced in the position of putting by adjustment.
In addition, because CT image is to carry out surface sweeping according to certain bed thickness, therefore must carry out stretch processing according to actual scanning thickness to the bed thickness of CT image, so just can obtain and the reconstructed results of real scan object with equal proportion.
In technique scheme, preferably, the step of obtaining the pylic three-dimensional reconstruction image in liver is specially: in the sequence of partitions corresponding with liver, adopt algorithm of region growing to extract portal vein information, and be communicated with respectively the portal vein in the sequence of partitions of adjacent layer in the sequence of partitions corresponding with described liver, to obtain the sequence of partitions corresponding with described portal vein; Portal vein in the sequence of partitions of adjacent layer in the described sequence of partitions corresponding with portal vein is carried out to interpolation processing; Adopt marching cubes algorithm to extract contour surface from the sequence of partitions corresponding with described portal vein; The tri patch corresponding with described contour surface is optimized to processing; Tri patch after optimization process is carried out to smoothing processing; Contour surface to the tri patch after described smoothing processing splices, to obtain described pylic three-dimensional reconstruction image.
In this technical scheme, because blood vessel is meticulousr, in order to ensure the continuity of the 3-D view medium vessels after rebuilding, need to carry out interpolation processing to the portal vein in the sequence of partitions of adjacent layer in the sequence of partitions corresponding with blood vessel.
In technique scheme, preferably, the described step that the tri patch corresponding with described contour surface is optimized to processing is specially: the position relationship of the summit that judges each tri patch and corresponding rectangular block; If specify three summits of tri patch all in the rectangular block corresponding with described appointment triangular facet, give up described tri patch, if wherein two summits in three summits of appointment tri patch are in the rectangular block corresponding with described appointment triangular facet, the line between two summits wherein described in only retaining, if only have a summit in the rectangular block corresponding with described appointment tri patch in three summits of appointment tri patch, retain described appointment tri patch.
By the processing to tri patch, can reduce the quantity of the tri patch of rebuilding, thereby can improve the efficiency of three-dimensional reconstruction.
Fig. 2 shows the schematic block diagram of the liver subsection system based on medical image according to an embodiment of the invention.
As shown in Figure 2, the liver subsection system 200 based on medical image according to an embodiment of the invention, comprising: image acquisition unit 202, and for obtaining the three-dimensional reconstruction image of liver, and pylic three-dimensional reconstruction image in described liver; Processing unit 204, for according to described pylic three-dimensional reconstruction image, determines described pylic Mei Tiao branch; Division unit 206, for the three-dimensional reconstruction image of described liver being divided into the cube piece of multiple predetermineds, and according to the corresponding relation of each described cube piece and described pylic Mei Tiao branch, on the three-dimensional reconstruction image of described liver, divide the domination region of described pylic Mei Tiao branch; Segmenting unit 208, for carrying out segmentation according to the domination region of described pylic Mei Tiao branch to the three-dimensional reconstruction image of described liver.
In this technical scheme, by the three-dimensional reconstruction image of liver being divided into multiple cube pieces, and judge respectively the corresponding relation between each cube piece and pylic Mei Tiao branch, judge in this cube piece and whether comprise branch of portal vein, and then choose the cube piece corresponding with pylic Mei Tiao branch, by each the piece region on liver is all traveled through to analysis, make it possible to more accurately to divide the domination region (i.e. the cube piece corresponding with Mei Tiao branch) of pylic Mei Tiao branch, thereby in the time that liver is carried out to segmentation, can be neatly according to the domination region of pylic Mei Tiao branch, liver be carried out to segmentation, can choose neatly liver subsection method targetedly for different patients' liver feature (being the distribution situation of portal vein in liver), avoid each patient's liver mechanically to carry out segmentation (as Couinaud discrete method) and cause the inaccurate of segmentation result, dirigibility and the accuracy of liver subsection are improved.Wherein, domination region is and closely associated region of branch of portal vein, by dividing the domination region of pylic Mei Tiao branch, makes after to liver subsection, and each section can both be relatively independent, excises the function that can not have influence on other parts after arbitrary section.
In addition, in the time that the three-dimensional reconstruction image of liver is carried out to piecemeal, be not limited to and only the three-dimensional reconstruction image of liver be divided into multiple cube pieces, also the three-dimensional reconstruction image of liver can be divided into multiple rectangular parallelepiped pieces, can also be divided into multiple spheroid pieces etc., and judge successively the corresponding relation between each rectangular parallelepiped piece or spheroid piece and pylic Mei Tiao branch, to determine the domination region of pylic Mei Tiao branch.
In technique scheme, preferably, described processing unit 204 comprises: center line acquiring unit 2042, at described pylic three-dimensional reconstruction image, obtains described pylic center line; And identifying unit 2044, during at least three pixels, judge that described portal vein occurs branch at described arbitrary pixel place for 26 neighborhood region memories of arbitrary pixel on described pylic center line.
In this technical scheme, under normal circumstances, in the time not there is not branch in portal vein, on portal vein center line, in 26 neighborhood regions of arbitrary pixel, only there are two pixels, therefore can by 26 neighborhood region memories of arbitrary pixel on detecting gate vein center line pixel quantity carry out decision gate vein and whether occur branch.
In technique scheme, preferably, described processing unit 204 comprises: center line acquiring unit 2042, at described pylic three-dimensional reconstruction image, obtains described pylic center line; And identifying unit 2044, for 26 neighborhood region memories of arbitrary pixel on described pylic center line during at least three pixels, further described in judgement, at least three pixels, whether the pylic radius at each pixel position place is more than or equal to predetermined threshold, and in the time that the pylic radius at described at least three pixel middle finger fixation vegetarian refreshments positions place is more than or equal to predetermined threshold, judge that the portal vein at described specified pixel point position place is as the pylic branch at described arbitrary pixel position place.
In this technical scheme, on portal vein center line, 26 neighborhood region memories of arbitrary pixel are in the time of at least three pixels, also may be owing to having occurred burr at this pixel place, therefore the 26 neighborhood region memories that pass through arbitrary pixel on pylic center line are in the time of at least three pixels, further whether the pylic radius at each pixel position place in above-mentioned at least three pixels being more than or equal to predetermined threshold judges, can get rid of the situation that occurs burr on portal vein, improve the accuracy of judged result.
In technique scheme, preferably, described division unit 206 specifically for: specifying while only comprising a described pylic branch in cube piece, described appointment cube piece is divided into the domination region of a described branch; And specifying while comprising described pylic Duo Tiao branch in cube piece, the borderline region using described appointment cube piece as described Duo Tiao branch.
In this technical scheme, region when borderline region is liver subsection between each section and other sections.
In technique scheme, preferably, described division unit 206 comprises: virtual sphere construction unit 2062, while being used for not comprising described pylic any branch in appointment cube piece, take described cube Kuai center as the centre of sphere, build virtual sphere take the rib length of described cube piece as diameter, and increase successively the diameter of described virtual sphere with the first predetermined value, until there is described pylic branch in described virtual sphere, and comprise Duo Tiao branch in judging unit 2064 is judged described virtual sphere time, reduce successively the diameter of described virtual sphere with the second predetermined value, until there is a described pylic branch in described virtual sphere, described judging unit 2064, for judging the described pylic numbers of branches comprising in described virtual sphere, described division unit 206 also for: judge while only comprising a described pylic branch in described virtual sphere at described judging unit 2064, described appointment cube piece be divided into the domination region of a described branch.
Fig. 3 shows the schematic flow diagram of the liver subsection method based on medical image according to another embodiment of the invention.
As shown in Figure 3, the liver subsection method based on medical image according to another embodiment of the invention, comprising:
Specifically, can adopt level set dividing method, first abdominal CT images manually set to initial level collection, after having cut apart, the segmentation result of a upper image sequence is as the reference initial level collection of next image sequence, to realize auto Segmentation, running into the situation of segmentation errors, can set initial level collection by human assistance for segmentation errors image cuts apart, after having cut apart, adopt morphological dilations algorithm to fill the cavity of liver contour area inside in segmentation result, then adopt Gaussian smoothing algorithm to carry out edge-smoothing to liver profile.Certainly, also can be to the CT of liver Image Segmentation Using, to obtain liver segmentation profile.
Specifically, can be using the liver segmentation profile obtaining in step 302 as mask, (value by liver area part is made as 1 to the liver area of reservation abdominal CT images, remainder is made as 0), and on the abdominal CT images of having cut apart, adopt algorithm of region growing to extract two-dimentional portal vein information, adopt interlayer method for communicating to realize pylic UNICOM between layers, can not realize the part of upper and lower UNICOM, be considered as noise, give up, finally obtain portal vein sequence of partitions.
Specifically, can adopt marching cubes algorithm to extract contour surface in the sequence of partitions of liver, setting threshold according to the actual requirements, to obtain contour surface model.In addition, because CT image scans according to certain thickness, therefore need the bed thickness of CT image to carry out stretch processing, bed thickness degree of drawing need to arrange according to actual CT scan bed thickness.Then adopt summit act of union just the tri patch in the fixing rectangular block of length merge into large tri patch, wherein, the parameter of length can regulate setting.
Further, can adopt Laplce's smoothing technique to carry out smoothing processing to tri patch, and certain iterations can be set, reduce surperficial noise with the position of putting by adjustment, make the surface rendering of tri patch more level and smooth.After tri patch is carried out to smoothing processing, can computing grid on the normal of each point, and realize the illumination smoothing processing to tri patch by Gao Luode colouring algorithm.Carrying out contour surface splicing through after smoothing processing, to obtain the Three-dimension Reconstruction Model of liver.
Similarly, can obtain pylic Three-dimension Reconstruction Model.
Specifically, can adopt three-dimensional topology thinning method to obtain the center line of portal vein three-dimensional result; Then from pylic trunk, whether occur that according to portal vein branch and portal vein radius judge branch's situation, criterion is: if occur within the scope of 26 neighborhoods of arbitrary pixel on portal vein center line, at least three pixels and this point (i.e. any at least three pixels) locate portal vein radius and exceed setting threshold, thinks that classification appears in blood vessel; Otherwise, think that this branch vessel does not possess classification condition.
In the time carrying out mark, can be according to the labeling method shown in Fig. 4, trunk is labeled as 0 grade (being 402 shown in Fig. 4), if run into branch, be labeled as 1 grade of blood vessel (being 404 shown in Fig. 4), if 1 grade of blood vessel runs into branch, be labeled as 2 grades of blood vessels (being 406 shown in Fig. 4).The blood vessel of different brackets is carried out respectively to mark.
Specifically, the three-dimensional reconstruction image of liver is carried out to traversal search according to the cube piece of LLL pixel size successively, judge whether this cube liver piece inside exists the blood vessel that mark is good, if existed, the domination region that this cube liver piece is current branch vessel, otherwise take cube liver Kuai Kuai center as the centre of sphere, diameter R=L+nr builds virtual sphere, wherein, r represents the step-length of each expansion, can arrange according to actual needs, and n represents degree of extension.Judge within the scope of the spheroid after expansion whether have the blood vessel that mark is good, if only there is the blood vessel that a kind of mark is good, this cube liver piece is divided into the domination region of current branch vessel.
If there is the blood vessel of multiple mark within the scope of the spheroid after expansion, constant according to the centre of sphere, sphere diameter R=L+nr-i inside contracts spheroid, judge in interior compression process, the vessel branch number within the scope of spheroid, if branch vessel number is 1, current cube liver piece is divided into the domination region of current branch vessel, otherwise, continue to inside contract, until the branch vessel number to 1 of this dilating ball scope.Successively the Three-dimension Reconstruction Model of liver is carried out to above-mentioned judgement, until whole liver traversal is complete.
Particularly, the domination region of pylic Mei Tiao branch can be divided into one section.
Wherein, the particular flow sheet of step 310 can be as shown in Figure 5.
Fig. 5 shows the partition process schematic diagram in the domination region of branch of portal vein according to an embodiment of the invention.
As shown in Figure 5, according to an embodiment of the invention branch of portal vein the partition process in domination region, comprising:
Step 502, chooses the long cube liver piece for L of a certain rib.
Whether step 504, have branch vessel to exist in the cube liver piece that judgement is chosen, if so, perform step 506; Otherwise, execution step 508.
Whether step 510, judge in spheroid and have branch vessel to exist, if so, to perform step 512; Otherwise whether continue the diameter of expansion spheroid and continue to judge in spheroid has branch vessel to exist.
Step 512, while having branch vessel to exist, further judges that whether branch vessel is one, if so, performs step 518 in judgement spheroid; Otherwise, execution step 514.
Step 516, judges in spheroid whether only have a branch vessel, if so, performs step 518; Otherwise i value adds 1, certainly, also can increase predetermined value.
All the other cube liver pieces are reused to above-mentioned determination methods, until complete the traversal search to all cube liver pieces.By each cube liver piece is judged, can accurately divide the domination region of pylic Mei Tiao branch.
By judging the corresponding relation between each cube piece and pylic Mei Tiao branch, by finding the mark that whether comprises certain branch vessel in cube piece or in the virtual sphere corresponding with cube piece, and mark number, thereby judge the relation of inclusion of this cube piece and each branch vessel, also just draw the domination region that whether belongs to this branch vessel, also chosen the cube piece corresponding with pylic Mei Tiao branch simultaneously; By each the piece region on liver is all traveled through to analysis, make it possible to more accurately to divide the domination region (i.e. the cube piece corresponding with Mei Tiao branch) of pylic Mei Tiao branch, thereby in the time that liver is carried out to segmentation, can be neatly according to the domination region of pylic Mei Tiao branch, liver be carried out to segmentation, can choose neatly liver subsection method targetedly for different patients' liver feature (being the distribution situation of portal vein in liver), improve dirigibility and the accuracy of liver subsection.
Liver subsection method described in above-described embodiment of the application, can carry out liver subsection according to multiple differential liver pieces situation corresponding to pylic branch, can determine comparatively accurately this part liver organization that branch of portal vein is arranged, thereby can select neatly corresponding liver subsection method to carry out liver subsection for each patient's liver feature, doctor just can be had comprehensively patient's liver's structure and tumour situation in the preoperative, three-dimensional, hold intuitively, for carrying out preoperative planning, doctor provides reliable foundation, and provide quite valuable reference for further implementing precisely operation, can before operation, improve the operation enforcement rate of liver cancer patient, in surgical procedure, precisely excise cancerous issue and reduce health tissues damage, reduce the recurrence of liver cancer.
More than be described with reference to the accompanying drawings technical scheme of the present invention, considered that the liver subsection method in correlation technique is to carry out segmentation according to liver profile, do not considered the situation of the liver variation often occurring clinically, Clinical significance of MG is little.In addition, liver subsection result will guarantee that excision wherein can not affect the function of other parts after one section, thorough removal of lesions was with guarantee to obtain accurate balance between residual liver function, only in this way could provide guidance and reference for clinical operation.Therefore, the invention provides a kind of new liver subsection technology, can be according to pylic branch situation in liver, and the liver area corresponding with pylic Mei Tiao branch, the three-dimensional reconstruction image of liver is carried out to segmentation, the liver feature (being pylic distribution situation) making it possible to for different patients is chosen liver subsection method targetedly, has improved the dirigibility to liver subsection.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for a person skilled in the art, the present invention can have various modifications and variations.Within the spirit and principles in the present invention all, any modification of doing, be equal to replacement, improvement etc., within all should being included in protection scope of the present invention.
Claims (10)
1. the liver subsection method based on medical image, is characterized in that, comprising:
Obtain the three-dimensional reconstruction image of liver, and pylic three-dimensional reconstruction image in described liver;
According to described pylic three-dimensional reconstruction image, determine described pylic Mei Tiao branch;
The three-dimensional reconstruction image of described liver is divided into the cube piece of multiple predetermineds;
According to the corresponding relation of each described cube piece and described pylic Mei Tiao branch, on the three-dimensional reconstruction image of described liver, divide the domination region of described pylic Mei Tiao branch;
According to the domination region of described pylic Mei Tiao branch, the three-dimensional reconstruction image of described liver is carried out to segmentation.
2. the liver subsection method based on medical image according to claim 1, it is characterized in that, according to the corresponding relation of each described cube piece and described pylic Mei Tiao branch, the step of dividing the domination region of described Mei Tiao branch on the three-dimensional reconstruction image of described liver is specially:
Only comprise a described pylic branch if specify in cube piece, described appointment cube piece is divided into the domination region of a described branch;
In cube piece, comprise described pylic Duo Tiao branch if specify, the borderline region using described appointment cube piece as described Duo Tiao branch.
3. the liver subsection method based on medical image according to claim 2, is characterized in that, also comprises:
If specify in cube piece and do not comprise described pylic any branch, take described cube Kuai center as the centre of sphere, build virtual sphere take the rib length of described cube piece as diameter, and increase successively the diameter of described virtual sphere with the first predetermined value, until in described virtual sphere, there is described pylic branch, and
Judge the described pylic numbers of branches comprising in described virtual sphere, if only there is a branch in described virtual sphere, described appointment cube piece is divided into the domination region of a described branch;
If there is Duo Tiao branch in described virtual sphere, reduce successively the diameter of described virtual sphere with the second predetermined value, until in described virtual sphere, occur a described pylic branch, and described cube piece is divided into the domination region of a described branch.
4. the liver subsection method based on medical image according to claim 1, is characterized in that, described according to described pylic three-dimensional reconstruction image, determines that the step of described pylic Mei Tiao branch is specially:
In described pylic three-dimensional reconstruction image, obtain described pylic center line;
If 26 neighborhood region memories of arbitrary pixel are at least three pixels on described pylic center line, described in further judging, at least three pixels, whether the pylic radius at each pixel position place is more than or equal to predetermined threshold, and
In the time that the pylic radius at described at least three pixel middle finger fixation vegetarian refreshments positions place is more than or equal to predetermined threshold, judge that the portal vein at described specified pixel point position place is as the pylic branch at described arbitrary pixel position place.
5. according to the liver subsection method based on medical image described in any one in claim 1 to 4, it is characterized in that, described in obtain the three-dimensional reconstruction image of liver step be specially:
Adopt level set dividing method to belly two-dimensional ct Image Segmentation Using, to obtain the sequence of partitions corresponding with liver;
Adopt marching cubes algorithm to extract contour surface from the sequence of partitions corresponding with liver;
The tri patch corresponding with described contour surface is optimized to processing;
Adopt Laplce's smoothing technique, by default iterations, the tri patch through optimization process is carried out to smoothing processing;
Contour surface to the tri patch after described smoothing processing splices, to obtain the three-dimensional reconstruction image of described liver.
6. according to the liver subsection method based on medical image described in any one in claim 1 to 4, it is characterized in that, the step of obtaining the pylic three-dimensional reconstruction image in described liver is specially:
In the sequence of partitions corresponding with described liver, adopt algorithm of region growing to extract portal vein information, and be communicated with respectively the portal vein in the sequence of partitions of adjacent layer in the sequence of partitions corresponding with described liver, to obtain the sequence of partitions corresponding with described portal vein;
Portal vein in the sequence of partitions of adjacent layer in the described sequence of partitions corresponding with portal vein is carried out to interpolation processing;
Adopt marching cubes algorithm to extract contour surface from the sequence of partitions corresponding with described portal vein;
The tri patch corresponding with described contour surface is optimized to processing;
Tri patch after optimization process is carried out to smoothing processing;
Contour surface to the tri patch after described smoothing processing splices, to obtain described pylic three-dimensional reconstruction image.
7. the liver subsection system based on medical image, is characterized in that, comprising:
Image acquisition unit, for obtaining the three-dimensional reconstruction image of liver, and pylic three-dimensional reconstruction image in described liver;
Processing unit, for according to described pylic three-dimensional reconstruction image, determines described pylic Mei Tiao branch;
Division unit, for the three-dimensional reconstruction image of described liver being divided into the cube piece of multiple predetermineds, and
According to the corresponding relation of each described cube piece and described pylic Mei Tiao branch, on the three-dimensional reconstruction image of described liver, divide the domination region of described pylic Mei Tiao branch;
Segmenting unit, for carrying out segmentation according to the domination region of described pylic Mei Tiao branch to the three-dimensional reconstruction image of described liver.
8. the liver subsection system based on medical image according to claim 7, is characterized in that, described division unit specifically for:
Only comprise a described pylic branch in appointment cube piece time, described appointment cube piece is divided into the domination region of a described branch; And
Specifying while comprising described pylic Duo Tiao branch in cube piece, the borderline region using described appointment cube piece as described Duo Tiao branch.
9. the liver subsection system based on medical image according to claim 8, is characterized in that, described division unit comprises:
Virtual sphere construction unit, while being used for not comprising described pylic any branch in appointment cube piece, take described cube Kuai center as the centre of sphere, build virtual sphere take the rib length of described cube piece as diameter, and increase successively the diameter of described virtual sphere with the first predetermined value, until in described virtual sphere, there is described pylic branch, and
Comprise Duo Tiao branch in judging unit is judged described virtual sphere time, reduce successively the diameter of described virtual sphere with the second predetermined value, until there is a described pylic branch in described virtual sphere;
Described judging unit, for judging the described pylic numbers of branches comprising in described virtual sphere;
Described division unit also for: only comprise a described pylic branch in described judging unit is judged described virtual sphere time, described appointment cube piece is divided into the domination region of a described branch.
10. according to the liver subsection system based on medical image described in any one in claim 7 to 9, it is characterized in that, described processing unit comprises:
Center line acquiring unit, at described pylic three-dimensional reconstruction image, obtains described pylic center line; And
Identifying unit, for 26 neighborhood region memories of arbitrary pixel on described pylic center line during at least three pixels, further described in judgement, at least three pixels, whether the pylic radius at each pixel position place is more than or equal to predetermined threshold, and
In the time that the pylic radius at described at least three pixel middle finger fixation vegetarian refreshments positions place is more than or equal to predetermined threshold, judge that the portal vein at described specified pixel point position place is as the pylic branch at described arbitrary pixel position place.
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