manual-segmentation

所属分类:图形图像处理
开发工具:matlab
文件大小:678KB
下载次数:75
上传日期:2007-12-17 17:42:55
上 传 者wuyuwei007
说明:  此代码主要实现了手动分割图像的功能,并且能显示出分割的数据结果
(This code mainly achieved manually partition image functions, and can show the results of segmentation data)

文件列表:
manual-segmentation\BMPdata\tagged\SA\3751626.bmp (31030, 2005-06-25)
manual-segmentation\BMPdata\tagged\SA\3751641.bmp (31030, 2005-06-25)
manual-segmentation\BMPdata\tagged\SA\3751656.bmp (31030, 2005-06-25)
manual-segmentation\BMPdata\tagged\SA\3751671.bmp (31030, 2005-06-25)
manual-segmentation\BMPdata\tagged\SA\3751686.bmp (31030, 2005-06-25)
manual-segmentation\BMPdata\tagged\SA\3751701.bmp (31030, 2005-06-25)
manual-segmentation\BMPdata\tagged\SA\3751716.bmp (31030, 2005-06-25)
manual-segmentation\BMPdata\tagged\SA\Thumbs.db (23552, 2007-10-29)
manual-segmentation\BMPdata\tagged\Thumbs.db (41472, 2007-10-25)
manual-segmentation\Conf\all-sa.conf (2507, 2006-12-12)
manual-segmentation\Conf\sa.conf (1367, 2007-10-25)
manual-segmentation\Cut64\Cut64\Cut643749177.bmp (5174, 2007-11-07)
manual-segmentation\Cut64\Cut64\Cut643749192.bmp (5174, 2007-11-07)
manual-segmentation\Cut64\Cut64\Cut643749207.bmp (5174, 2007-11-07)
manual-segmentation\Cut64\Cut64\Cut643749222.bmp (5174, 2007-11-07)
manual-segmentation\Cut64\Cut64\Cut643749237.bmp (5174, 2007-11-07)
manual-segmentation\Cut64\Cut64\Cut643752046.bmp (5174, 2007-11-07)
manual-segmentation\Cut64\Cut64\Cut643752061.bmp (5174, 2007-11-07)
manual-segmentation\Cut64\Cut64\Cut643752076.bmp (5174, 2007-11-07)
manual-segmentation\Cut64\Cut64\Cut643752091.bmp (5174, 2007-11-07)
manual-segmentation\Cut64\Cut64\Cut643752106.bmp (5174, 2007-11-07)
manual-segmentation\Cut64\Cut64\Cut643752121.bmp (5174, 2007-11-07)
manual-segmentation\Cut64\Cut64\Cut643752136.bmp (5174, 2007-11-07)
manual-segmentation\Cut64\Cut64\Cut643752151.bmp (5174, 2007-11-07)
manual-segmentation\Cut64\Cut64\Cut643752166.bmp (5174, 2007-11-07)
manual-segmentation\Cut64\Cut64\Cut643752181.bmp (5174, 2007-11-07)
manual-segmentation\Cut64\Cut64\Cut643752196.bmp (5174, 2007-11-07)
manual-segmentation\Cut64\Cut64\Cut643752211.bmp (5174, 2007-11-07)
manual-segmentation\Cut64\Cut64\Cut643752226.bmp (5174, 2007-11-07)
manual-segmentation\Cut64\Cut64\Cut643752241.bmp (5174, 2007-11-07)
manual-segmentation\Cut64\Cut64\Cut643752256.bmp (5174, 2007-11-07)
manual-segmentation\Cut64\Cut64\Cut643752271.bmp (5174, 2007-11-07)
manual-segmentation\Cut64\Cut64\Thumbs.db (44544, 2007-11-07)
manual-segmentation\Data\3751626.data (4942, 2007-11-27)
manual-segmentation\Data\3751641.data (3801, 2007-11-01)
manual-segmentation\Data\3751656.data (3797, 2007-10-25)
manual-segmentation\Data\3751671.data (4025, 2007-11-01)
manual-segmentation\Data\3751686.data (4217, 2007-10-25)
manual-segmentation\Data\3751701.data (10276, 2007-10-25)
manual-segmentation\FIGdate\3751626-1-1-1.fig (48642, 2007-10-25)
... ...

1.genData,RadioUPDATE,snakeinit: provide an interface program to segment the LV epicardium and endocardium and tag stripe mannually 2.ConvertData, ReadConff, conv23D,gen3Dpoints: convert the segmented image data points from image coordinates to three dimensional spatial coordinates % by fitting a model to the extracted data at the first time phase with polar coordinates. % (1) we only using polar coordinate system at time phase 1, then converted to rectangular % Cartesian(笛卡尔的) Coordinates, for LV motion is not easily described in a polar system[1],and % this generally requires the definition of anatomical(解剖学的) landmarks(里程碑) such as % the LV long axis, the LV cavity center, and other specific reference points % it is not an easy or error-free task[2],maybe stated in detail % (2) knowns: points with coordinates in cartesian system extracted from images of SALA view % on epi- and edo- surface % unkowns: % for the prolate spheroid is with this formulation, % (x-x0)^2.0/(delta*sinhlamda)^2.0 + (y-y0)^2.0/(delta*sinhlamda)^2.0 + (z-z0)^2.0/(delta*coshlamda)^2.0 = 1 % and the elevation angle is limited to eta0, which is positive and less than 180 degree % the unknows include x0,y0,z0, eta0, lamda, delta % Initial fitting done as Park, difference is (1),then we get the accurate shape of LV at the phase one % successively, we use cartesian coordinates and FEM, polar system is not necessary and impossible, % % Comparision: % (3) discrepancies with FEM: % (i) In Young's FEM method, the deformation is model-free,theoretically,the FEM method can capture % all kinds of deformation, but need intensive postprocessing for physicians, No intuitive parameter is provided, % the degree of freedom is the displacements of all FEM nodes; In addition,Young used % (ii) data fitting technique to deform the model, the trajectory is unknow % (iii)external constraints is imposed, the model cannot deformed smoothly % (4) discrepancies with DMPF: % (i) all in polar coordinate system, it can not be error-free % (ii) deformation only includes torsion,bending,contraction, it is not enough for clinicians % (iii)B-spline shape function is more smooth % % Next step: % (iv) external force is obtained under assumption that there is no bending for tag surface % (v) no external constraints is imposed, so the PFs are piecewise linear, biomechanics model maybe introduced % (vi) correspondence points determination % (vii)not contour free, should extract all the epi- and edo- conotur slice by slice, but Young's 3D FEM is contour free % (5) discrepancies with B-spline: % (i) no intuitive parameters,also need formidable postprecessing, not convinient for clinician % (ii) the contour and the myocardium deformed seperately, it is not reasonable % (iii)demand for special tag pattern,it is not easy to get intersection of tag surface if the tag pattern not grid or % also grid on long axis view % (6) discrepancies with others: % (i) O'Dell, using global and local deformation, but the local deformation parameter is function done as JPark, % this cannot overcome the drawbacks of Metaxas's Global and local deformation model % (ii) Metaxas, Using global and local deformation to formulate the nonrigid motion,the global deformation is for % recognition,the local deformation is for reconstruction, but there need too much local parameters % (iii)Hunag, motion hierarchical decomposition, including global rigid motion, global nonrigid motion, % local rigid motion, local nonrigid motion, there are many pitfalls % (iv) Kerwin, Another version of B-spline

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