ЗАГОРЧЕВ Любомир Георгиев (NL),МУР Элизабет Энн (NL),ГАРЛИНГХАУЗ Мэттью А. (NL),РОТ Роберт М. (NL),МАКАЛЛИСТЕР Томас В. (NL),КНЕЗЕР Райнхард (NL),ГЕЛЛЕР Дитер (NL),ПЕТЕРС Йохен (NL),ВЕСЕ Юрген (NL),ЦЯ
申请号：
RU2012128871/14
公开号：
RU2012128871A
申请日:
2010.11.17
申请国别(地区):
RU
年份:
2014
代理人:
摘要：
1. A method for automatic segmentation, comprising the steps of:choosing (210) a deformable model of the anatomical structure of interest shown in the brain volumetric image, the deformable model is formed of a plurality of polygons including vertices and edgesdisplaying (220) the deformable model on the display (106)find (240) a characteristic point of interest in an anatomical structure corresponding to each of a plurality of polygons andadapting (250) deformable model by moving each vertex in the direction of the respective characteristic points, while the deformable model does not turn into a border of the anatomical structure of interest, forming a segmentation of the anatomical structure of interest.2. The method of claim 1, wherein the deformable model is selected from a database structure stored in a memory (108).3. The method of claim 1, wherein the characteristic is a point substantially along the boundary of the anatomical structure of interest.4. The method of claim 1, further comprising the step of:receiving (260) user input through the graphical user interface (104), the user chooses selection input regarding segmentation.5. The method of claim 4, wherein the user input selects one of the volume calculation and segmentation determination of curvature at the selected point.6. The method of claim 1, wherein the anatomical structure of interest is a portion of the brain, and the method further comprises the step ofdetermining the deviation from the average value of peaks in symmetrical normal structure of interest to determine the pathology and displaying deviation to show deformation in the portion of the brain.7. The method of claim 6, wherein the step of determining the deviation from the average values of vertices comprises the step of identifying the median sagittal plane area of the brain.8, system comprising:a processor (102) that selects a deformable model of the anatomical structure of interest shown in the brain volumetric image, the deforma
