CN100573594C - Being used for the automatic optimal view that cardiac image obtains determines - Google Patents
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- CN100573594C CN100573594C CNB2004800144962A CN200480014496A CN100573594C CN 100573594 C CN100573594 C CN 100573594C CN B2004800144962 A CNB2004800144962 A CN B2004800144962A CN 200480014496 A CN200480014496 A CN 200480014496A CN 100573594 C CN100573594 C CN 100573594C
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Abstract
Be identified for method (1100), system (1200) and the device (101) on the optimal view plane that cardiac image obtains, wherein, described method comprises one group of sagittal obtaining heart, axial and crown image, wherein axial and crown image and sagittal image quadrature, and its cardiac has the nature axle, and left ventricle (" LV ") has blood pond, blood pool side edge and and the apex of the heart (1110).Described method also comprises makes blood pond outline map (1140) and utilizes this figure to create along the full coordinate frame (1160) of described nature axle orientation.
Description
The cross reference of relevant application
The application requires on May 28th, 2003 to submit to, exercise question is " Automatic OptimalView Determination for Cardiac Acquisition " U.S. Provisional Application sequence number 60/473, the rights and interests of 730 (Attorney Docket No.2003P07843US), described provisional application are as being included in this instructions with reference to full text.
Background of invention
Technical field
The present invention relates to medical imaging, more particularly, relate to and be identified for minor axis and the long axis view plane that cardiac image obtains.
The discussion of relevant technologies
In the medical imaging field, the image that centers on heart major and minor axis access normal orientation is the standard format that the doctor makes evaluation.The orientation of heart and major and minor axis normal thereof all are unique to each individual.So when obtaining this image, each one heart orientation and related coordinate frame thereof (minor axis, major axis and with the direction of described the two quadrature) all need to determine.
In relevant technologies, average left ventricle coordinate system is to calculate and be used as starting point from the database of 50 objects.From this initial short axis orientation, to several short axis images samplings.Use expection maximization algorithm with the left and right ventricles segmentation in these images then.In stacking, short axis images finds out the centre of form (centroid) of left ventricle (" LV ").These (centres of form) are coupled together, form final short access normal.Find out then apart from described axle right ventricle point farthest, be used for determining long-axis normal direction.Because the ventricle shape has nothing in common with each other, some or even banana-shaped, described method can not produce suitable coordinate structure.
Summary of the invention
Example embodiment of the present invention comprises the method that is identified for the optimal view plane that cardiac image obtains.Described method comprises one group of sagittal obtaining heart, axial and crown image, wherein axial and crown image and sagittal image quadrature, and its cardiac has nature axle and the left ventricle (" LV ") with blood pond, blood pool side edge and apex of the heart.Described method also comprises makes blood pond outline map, and utilizes this figure to create along the full coordinate frame of nature axle orientation.
Another embodiment of the present invention comprises the system that is identified for the optimal view plane that cardiac image obtains, and described system comprises: processor; And carry out the imaging adapter of signal communication with processor, and be used to receive the image of heart, wherein, heart has the nature axle and has the left ventricle (" LV ") of blood pond, blood pool side edge and the apex of the heart.Described system also comprises the unit map of carrying out signal communication with processor, is used to shine upon blood pool side edge.Described system also comprises: carry out the creating unit of signal communication with processor, be used to create the full coordinate frame with nature axle orientation; And carry out the user interface of signal communication with processor, be used to receive control input from the user.
Brief Description Of Drawings
Fig. 1 is the synoptic diagram that shows the computer system example embodiment;
Fig. 2 is the medical image of describing from one group of three CT image of the orthogonally oriented heart that obtains;
Fig. 3 is the medical image of sagittal view of heart of describing to have the LV blood pond of sign;
Fig. 4 is the medical image that is depicted in the example embodiment of location blood pool side edge in the axial view of heart;
Fig. 5 is the medical image that is depicted in the example embodiment of location blood pool side edge in the crown image of heart;
Fig. 6 is the medical image that is depicted in the example embodiment of the photosites on the blood pool side edge;
Fig. 7 is the schematic diagram of ellipsoid of three-dimensional LV blood pool side edge of heart of representing to have the short access normal orientation of sign approx;
Fig. 8 be describe to have sign septal direction heart sagittal image and with respect to the medical image of the full coordinate frame of heart nature axle orientation;
Fig. 9 describes the schematic diagram that the demonstration of left ventricle and one group of short axis images is represented;
Figure 10 is the schematic diagram of describing example embodiment of the present invention and describing how to determine from the short axis images of heart long axis normal orientations;
Figure 11 is a process flow diagram of describing example embodiment of the present invention; And
Figure 12 is the synoptic diagram that is used for the example embodiment of the system that automatic optimal view that cardiac image obtains determines.
DETAILED DESCRIPTION OF THE PREFERRED
Example embodiment of the present invention provides and is identified for the best short that cardiac image obtains and the mthods, systems and devices on long axis view plane.Can utilize following equipment to obtain image: MR scanner (" MR "), PET (positron emission tomography) scanner (" PET "), single photon emission computed tomography (" SPECT "), computed tomography scan device (" CT ") and other medical imaging apparatus.In representing other data source of heart, the CT of heart, SPECT and PET volume data can reformattings after obtaining, so that create required image.After definite optimal view plane, image can be rescaned, perhaps can be with data (resembling the CT volume data) reformatting, so that obtain new image in new view plane.
Consult Fig. 1,, realize that computer system 101 of the present invention comprises CPU (central processing unit) (" CPU ") 102, storer 103 and input/output interface (" I/O ") 104 according to example embodiment of the present invention.Computer system 101 is connected to display 105 and various input media 106, for example mouse, keyboard and medical imaging apparatus by I/O interface 104 usually.Support that circuit can comprise for example circuit such as high-speed cache, power supply, clock circuit and communication bus.Storer 103 can comprise random access memory (" RAM "), ROM (read-only memory) (" ROM "), disc driver, tape drive etc. or their combination.The present invention can be used as routine 107 and realizes, program 107 is stored in the storer 103 and by CPU 102 and carries out, and handles the signal from signal source 108.Therefore, computer system 101 is general calculation machine systems, just becomes dedicated computer system when carrying out program 107 of the present invention.
Computer system 101 also comprises operating system and micro-instruction code.The various processes of this paper explanation and function can or the part of micro-instruction code or the part (or its combination) of application program, application program is then carried out by operating system.In addition, various other peripherals can be connected on the computer platform, for example Fu Jia data storage device and printing equipment.
Fig. 2 is the medical image of describing from one group of three CT image of the orthogonally oriented heart that obtains, and totally represents with label 200.According to the identical CT volumetric set of representing heart these images have been carried out reformatting.The crown image of label 220 expression hearts.The sagittal image of label 240 expression hearts.The axial image of label 260 expression hearts.
Fig. 3 is the medical image of sagittal view of heart of describing to have the LV blood pond of sign, totally represents with label 300.Image 300 is same sagittal view 240 of describing among Fig. 2.The LV blood pond that label 320 expressions herein identify.
Fig. 4 is the medical image that is depicted in the example embodiment of location blood pool side edge in the axial view 260 of Fig. 2, totally represents with label 400.The intersecting lens of the label 410 described planes of delineation of expression and sagittal image plane shown in Figure 3. Label 420 and 430 is illustrated in the recognizing site that intersects with sagittal image plane on the blood pool side edge.
Fig. 5 is the medical image that is depicted in the example embodiment of location blood pool side edge in the crown image 220 of Fig. 2, totally represents with label 500.The intersecting lens of the label 510 described planes of delineation of expression and sagittal image plane shown in Figure 3.Label 520 and 530 is illustrated in the recognizing site that intersects with sagittal image plane on the blood pool side edge.
Fig. 6 is the medical image that is depicted in the example embodiment of the photosites on the blood pool side edge, totally represents with label 600.Image shown here is identical with axial view shown in Figure 4.Label 620 is represented the mid point of blood pool side edge shown in Figure 4 position 420 and 430.Each bar line that label 650 is identified is represented from the difference along blood pool side edge of mid point 620 axial reflections.
Fig. 7 is the schematic diagram of ellipsoid of three-dimensional LV blood pool side edge of heart of representing to have the short access normal orientation of sign approx, totally represents with label 700.Blood pool side edge by label 730,740 and the 750 previous reflections of representing forms ellipsoid-like object in the space.Be used for determining the approximate short axis normal 720 of heart by this ellipsoid of label 710 expressions.
Fig. 8 be describe to have sign septal direction heart sagittal image and with respect to the medical image of the full coordinate frame of heart nature axle orientation, totally represent with label 800.The heart sagittal image of label 820 presentation graphs 2 herein.Septal direction outwards has light-dark-bright intensity distributions from the center, blood pond of sagittal image 820.The arrow of label 840 expressions is exactly a septal direction, and has this intensity distributions.Label 810 expressions are along the full coordinate frame of heart nature axle orientation.It utilizes short access normal 720 and septal direction 840 to create, and the embodiment of described process is in following explanation.
Fig. 9 describes the schematic diagram that the demonstration of left ventricle and one group of short axis images is represented, totally represents with label 900.The left ventriculography picture of label 960 expression hearts, label 950 its apexes of the heart of expression.Label 910 and two selectable short axis plane of 930 expressions, label 920 is represented the normal that they are related respectively with 940.
Figure 10 is a schematic diagram of describing example embodiment of the present invention, totally represents with label 1000.It describes how to determine long axis normal orientations from the short axis images of heart.Figure 100 0 is the expression of the short axis view of heart.Left ventricle and related blood pond thereof represent that with label 1010 right ventricle and related blood pond thereof represent that with label 1020 barrier film between them is represented with label 1040.In this short axis images, discerned the insertion point 1015 and 1016 of left ventricle 1010.These insertion points 1015 and 1016 are intersections of LV 1010 and barrier film.Many methods can be used for discerning these points, comprise that aforementioned intensity distributions changes (at bright → dark → bright place that stops) detection method.Label 1031 is represented the center in LV blood pond 1010.Can come out by the blood pool side being originated from the centroid calculation of moving segmentation and finding out described edge in its position.Circle 1034 coincide with these three points 1015,1016 and 1031, and simultaneously, the center of circle 1034 and the center in blood pond 1,010 1031 coincide.By 1015 and 1016 line 1032 and 1033 formed angles being halved to the insertion point in the center of circle 1031 of described circle.This direction is septal direction and forms long axis normal 1030.
Figure 11 is a process flow diagram of describing example embodiment of the present invention, represents with label 1100 generally.Each group that heart is obtained in square frame 1110 representative axially, the step of sagittal and crown image (every group of 3 to 6 images).These images should comprise (comprising to small part) left ventricle.The example of these images is shown in Fig. 2.Can utilize above-mentioned medical imaging scanner or on reference direction, represent the data (doing) of heart to obtain these images as utilizing the CT volume by reformatting.
The step of square frame 1140 representative mapping LV blood pool side edge.Point on the blood pool side edge is positioned at from the mid point of the above position of finding out (420,430,520,530) in the radial direction outside.Fig. 6 illustrates the example embodiment of described step, and wherein the blood pond of radial view is mapped.Many methods can be used for finishing this mapping.These methods especially comprise: detect the variation of the intensity distributions of the line from mid point to the LV edge; Principal component analysis; The sane match of ellipsoid or represent the match of any two dimensional model in long axis of left ventricle cross section approx.
Square frame 1160 representative is created with respect to by the step of the full coordinate frame of imaging heart.Full coordinate frame is to create by the definition long axis normal with respect to the short access normal of heart location.This both direction mutually orthogonal and with definition the 3rd required quadrature of full coordinate frame.Like this, by definition short access normal orientation and long axis normal orientations, just defined full coordinate frame.
In example embodiment of the present invention, this is to realize by the major axis of finding out heart (being also referred to as short access normal).Fig. 7 describes can be used for finding out the demonstration methods of short access normal.Many diverse ways can be used to analyze ellipsoid 710, comprise principal component analysis.Need find out the short-axis direction of heart, be also referred to as long axis normal.This can finish by find out septal direction in the sagittal of heart or short axis images, because septal direction is similar to the long-axis normal direction of heart.Fig. 8 describes the example embodiment of this step.So arrow 840 is similar to long-axis normal direction.Because short access normal and long axis normal mutually orthogonal, thus can create full coordinate frame 810 and with it with respect to the heart correct orientation.
In another embodiment of the present invention, can further accurate adjustment full coordinate frame orientation.This is by coordinate frame being reversed several different orientations, and obtains when each the adjusting that minor axis and long axial images realize.Optimal full coordinate frame is the orientation that is associated with the image of the best capture apex of the heart.The image of the best capture apex of the heart is to have the image of the longest apex of the heart to mitral valve plane distance.
In another embodiment of the present invention, can be before calculating long-axis normal direction the accurate adjustment short access normal orientation.Described fine adjusting method is: reverse short access normal orientation, obtain the distance from short axis plane to the LV apex of the heart at least one image and the measurement image in each orientation.The example embodiment of described process is shown in Fig. 9.The short access normal of the longest distance with centroid point is chosen as best short access normal.So in this case, normal 920 is the longest, represents best short access normal orientation.
In another embodiment of the present invention, can utilize the sagittal of left ventricle or short axis view to calculate long axis normal orientations.In this case, septal direction is used for calculating long axis normal orientations.Sagittal that is used to analyze or short axis images can be images existing or that newly obtain.How this finishes for short axis images in Figure 10 graphic extension.Similarly method also can be used for sagittal image.Short access normal and long axis normal orientations have been arranged, and full coordinate frame is with regard to definable.Because minor axis and major axis mutually orthogonal, so can create the full coordinate frame that is orientated with respect to heart nature axle now.
Figure 12 is the synoptic diagram that is used for system's example embodiment that automatic optimal view that cardiac image obtains determines, represents with label 1200 generally.System 1200 comprises at least one processor or the CPU (central processing unit) (" CPU ") of carrying out signal communication with system bus 1204.ROM (read-only memory) (" ROM ") 1206, random access memory (" RAM ") 1208, display adapter 1210, I/O adapter 1212, user interface adapter 1214, communication adapter 1228 and imaging adapter 1230, they all carry out signal communication with system bus 1204.Display unit 1216 carries out signal communication by display adapter 1210 and system bus 1204.Disk storage unit 1218, for example disk or rom memory cell carry out signal communication by I/O adapter 1212 and system bus 1204.Mouse 1220, keyboard 1222 and eye tracking apparatus 1224 carry out signal communication by user interface adapter 1214 and system bus 1204.Imaging device 1232 carries out signal communication by imaging adapter 1230 and system bus 1204.Imaging device 1232 can be a medical imaging apparatus, for example the MR scanner.Imaging device 1232 also can be to obtain the device of representing the cardiac data data of CT volume (for example from) with reformatting.
Should be understood that the present invention can realize with hardware, software, firmware, application specific processor or their various forms such as combination.In one embodiment, can utilize the software that is tangibly embodied in the application program on the program storage device to realize the present invention.Described application program can by on install on the machine that comprises any suitable architecture and by its execution.
Should be understood that above-mentioned explanation only represents example embodiment.For the purpose of helping reader, above-mentioned explanation concentrates on the representative example of possibility embodiment, and they have illustrated principle of the present invention, but do not attempt to enumerate all possible change.Do not propose different embodiment for concrete part of the present invention and must not be considered to the requirement of withdrawing a claim those different embodiment.Under the prerequisite that does not deviate from the spirit and scope of the present invention, other application and embodiment can directly implement.So the present invention should not be limited to the embodiment that specifies, but the present invention should be according to following claims definition.The embodiment that is appreciated that many not specified (NS)s is also within the literal scope of following claims, and some other is equivalent.
Claims (21)
1. one kind is used for the definite method in optimal view plane that cardiac image obtains, and described method comprises:
Obtain one group of sagittal of heart, axial and crown image, described axial and crown image and described sagittal image quadrature, wherein said heart has the nature axle, and left ventricular LV has blood pond, blood pool side edge and the apex of the heart;
Make blood pond outline map; And
Utilize described blood pool side edge to form elliposoidal, be used for determining short access normal, and determine long axis normal orientations, create full coordinate frame by the definition long axis normal with respect to the short access normal of heart location from the short axis images of heart in the space.
2. the method for claim 1, wherein said image is to use medical imaging apparatus to obtain.
3. the method for claim 1, wherein said image is to represent the data of described heart to obtain by reformatting.
4. the method for claim 1, the step of wherein said making blood pond outline map comprises:
Determine the position of described blood pond in described sagittal image;
In each orthogonal image that intersects with described sagittal image blood pond, find out two blood pond marginal points, have mid point between described two blood pond marginal points of each described orthogonal image; And
Determine from the mid point of the described orthogonal image position of each point on the blood pool side edge of each described orthogonal image on the direction radially outward.
5. method as claimed in claim 4 determines that wherein the described step of the position of described blood pond in described sagittal image also comprises the position of using the automatic segmentation algorithm to determine described blood pond.
6. method as claimed in claim 4, wherein the described step of location each point comprises the method that utilization is selected from the group that is made of the following on described blood pool side edge:
The intensity distribution variation of the line of detection from described mid point to described blood pool side edge,
Principal component analysis,
Ellipsoid perfects match, and
Be illustrated in the match of any two dimensional model in described LV major axis cross section.
7. the method for claim 1, the step of wherein utilizing described blood pond outline map to create full coordinate frame comprises:
Determine short access normal orientation; And
Determine long axis normal orientations, described long axis normal orientations and described short access normal orientation quadrature.
8. method as claimed in claim 7, the step of wherein said definite short access normal orientation comprise utilizes described blood pond outline map to represent described short access normal orientation, and described blood pool side edge figure forms the ellipsoid-like object in the space.
9. method as claimed in claim 8, the step of wherein said definite short access normal orientation comprise utilizes principal component analysis.
10. method as claimed in claim 8, the step of wherein said definite short access normal orientation also comprise the described short access normal orientation of accurate adjustment.
11. method as claimed in claim 10, the step of wherein said accurate adjustment short access normal orientation comprises:
Under the first short access normal orientation condition, obtain first image, measure first distance that arrives the described left ventricle apex of the heart;
Reverse described first short access normal orientation, so that create second short access normal orientation;
Under the described second short access normal orientation condition, obtain second image, measure the second distance that arrives the described left ventricle apex of the heart;
The short access normal orientation of selecting to be associated with long distance in described two distances that arrive the described left ventricle apex of the heart is more accurate short access normal orientation.
12. method as claimed in claim 7, the step of wherein said definite long axis normal orientations comprises the septal direction of determining to leave center, LV blood pond.
13. method as claimed in claim 12, the step of wherein determining long-axis normal direction are included in the sagittal image of heart and the short axis images and find out septal direction.
14. method as claimed in claim 13, wherein said short axis images from heart determines that the step of long axis normal orientations comprises:
Analyze described cardiac image, find out the center in described LV blood pond; And
Radially outward seek direction from the center in described LV blood pond with light-dark-bright intensity distributions.
15. method as claimed in claim 13, wherein said definite septal direction comprises:
Analyze described cardiac image, find out the center in described LV blood pond, described LV has two insertion points;
Analyze described cardiac image, find out described two insertion points:
Utilize described two insertion points and center, described blood pond angulation, the summit of described angle is at center, described blood pond;
Described angle halves; And
Determine that described septal direction is the direction of halving line.
16. method as claimed in claim 15 is wherein analyzed described cardiac image, the described step of finding out center, described LV blood pond comprises:
With described LV blood pool side fate section; And
Find out the centre of form of described LV blood pool side edge.
17. method as claimed in claim 15 is wherein analyzed described cardiac image, the described step of finding out described two insertion points comprises utilizes the intensity distribution variation detection method.
18. the method for claim 1 wherein also comprises the described full coordinate frame of accurate adjustment.
19. method as claimed in claim 18, the step of wherein said accurate adjustment full coordinate frame comprises:
Under the first full coordinate frame orientation condition, obtain first image, measure the apex of the heart of described heart and first distance between the mitral valve plane;
Reverse described first full coordinate frame orientation, so that create second full coordinate frame orientation;
Under the condition of described second full coordinate frame orientation, obtain second image, measure the apex of the heart of described heart and the second distance between the mitral valve plane;
Select with the apex of the heart of described heart and described two distances between the mitral valve plane in long be more accurate full coordinate frame orientation apart from the full coordinate frame orientation that is associated.
20. a system that is identified for the optimal view plane that cardiac image obtains, described system comprises:
Processor;
Carry out the imaging adapter of signal communication with described processor, be used to receive the image of heart, wherein said heart has left ventricular LV, and described left ventricle has blood pond and blood pool side edge;
Carry out the map unit of signal communication with described processor, be used to shine upon blood pool side edge;
Carry out the creating unit of signal communication with described processor, be used to utilize described blood pool side edge to form elliposoidal in the space, be used for determining short access normal, and determine long axis normal orientations from the short axis images of heart, create full coordinate frame by the definition long axis normal with respect to the short access normal of heart location; And
Carry out the user interface of signal communication with described processor, be used for receiving the control input.
21. system as claimed in claim 20, wherein said imaging adapter sends to imaging system to obtain the suitable image of described heart with control signal.
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| Application Number | Priority Date | Filing Date | Title |
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| US47373003P | 2003-05-28 | 2003-05-28 | |
| US60/473,730 | 2003-05-28 | ||
| US10/852,834 | 2004-05-25 |
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| CN1795469A CN1795469A (en) | 2006-06-28 |
| CN100573594C true CN100573594C (en) | 2009-12-23 |
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| WO2008012755A2 (en) * | 2006-07-26 | 2008-01-31 | Koninklijke Philips Electronics N.V. | Visualization of stress level cardiac functional analysis results |
| EP2521098A1 (en) * | 2011-05-06 | 2012-11-07 | Koninklijke Philips Electronics N.V. | Medical image system and method |
| RU2632246C2 (en) * | 2012-07-18 | 2017-10-03 | Конинклейке Филипс Н.В. | EFFECTIVE SEQUENCES OF ACCOMPLISHED ACTIONS OF HEART MAGNETIC-RESONANCE IMAGING BASED ON AUTOMATED PLANNING ON REVIEW RESEARCH ACCORDING TO mDIXON TECHNOLOGY |
| CN104146766B (en) * | 2013-05-13 | 2016-09-28 | 东芝医疗系统株式会社 | Scanning means, scan method and medical image equipment |
| US10327744B2 (en) | 2014-06-26 | 2019-06-25 | Biosense Webster (Israel) Ltd | Assistive manual zeroing visualization |
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| "Automatic determination of LV Orientation from SPECTData". Rakesh Mullick, et al.IEEE TRANSACTIONS ON MEDICAL IMAGING,Vol.14 No.1. 1995 |
| "Automatic determination of LV Orientation from SPECTData". Rakesh Mullick, et al.IEEE TRANSACTIONS ON MEDICAL IMAGING,Vol.14 No.1. 1995 * |
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