METHOD AND SYSTEM OF LIVER SEGMENTATION
A method for segmenting liver parenchyma in a medical image. The method comprises receiving a medical image depicting the liver parenchyma, separating the liver parenchyma from in the medical image, and segmenting the depicted liver parenchyma to functionally independent liver segments.
1 . A method for segmenting liver parenchyma in a medical image, comprising:
a) receiving a medical image depicting the liver parenchyma;
b) separating the liver parenchyma from at least one object depicted in said medical image; and
c) segmenting the depicted liver parenchyma to a plurality of functionally independent liver segments.
2 . The method of claim 1 , further comprising computing a plurality of planes passing through the liver parenchyma, said segmenting being performed according to said plurality of planes.
3 . The method of claim 2 , wherein said segmenting is performed automatically according to said plurality of planes.
4 . The method of claim 2 , wherein said computing comprises:
1) identifying a latitudinal plane passing through a bifurcation of the liver parenchyma;
2) identifying three vertical planes each passing through an axis traversing the inferior vena cava (IVC) and one of the intrahepatic main hepatic veins; and
3) identifying an additional plane passing through said axis and said bifurcation; wherein said segmenting is performed according to a combination of said latitudinal plane, said three vertical planes, and said additional plane.
5 . The method of claim 4 , wherein automatically identifying comprises allowing a user to mark at least one point on said bifurcation using a user interface and performing said identifying according to said at least one point.
6 . The method of claim 4 , wherein identifying a latitudinal plane comprises allowing a user to mark at least one point on said bifurcation using a user interface and performing said identifying according to said at least one point.
7 . The method of claim 2 , wherein said computing comprises segmenting at least a portion of a plexus of vessels of the intrahepatic portal system of the liver parenchyma and identifying at least one of said plurality of planes according to said portion.
8 . The method of claim 2 , wherein said computing is performed automatically.
9 . The method of claim 1 , further comprising allowing a user to refine said segmenting using a user interface.
10 . The method of claim 1 , wherein said medical image is selected from a group consisting of a computed tomography (CT) scan object, a positron emission tomography (PET)/CT scan object, and a digital imaging and communications in medicine (DICOM) object.
11 . The method of claim 1 , further comprising presenting said functionally independent liver segments.
12 . The method of claim 1 , further comprising forwarding the segmentation of said functionally independent liver segments to a computing unit to allow a diagnosis of at least one of said functionally independent liver segments.
13 . The method of claim 1 , further comprising identifying a pathological region in the liver parenchyma and associating said pathological region with at least one of said functionally independent liver segments.
14 . The method of claim 1 , further comprising receiving at least one additional medical image depicting the liver parenchyma, wherein separating the liver parenchyma, or segmenting the liver parenchyma into functionally independent liver segments, or both, is done using data from more than one of the medical images.
15 . A method according to claim 14 , wherein at least two of the medical images are acquired at different times.
16 . A method according to claim 15 , wherein at least two of the medical images are acquired at different phases of a same study of the liver.
17 . A method according to claim 15 , wherein at least two of the medical images are acquired in different studies of the liver of a same patient.
18 . A method according to claim 14 , wherein at least two of the medical images are made using different modalities.
19 . A method according to claim 18 , where at least one of the medical images is a CT image.
20 . A method according to claim 18 , where at least one of the medical images is an MRI image.
21 . A method according to claim 14 , also including registering the medical image to the at least one additional medical image, before at least one of separating the liver parenchyma and segmenting the liver parenchyma into functionally independent segments.
22 . An apparatus for segmenting liver parenchyma in a medical image, comprising:
an input interface for receiving a medical image depicting the liver parenchyma; and
a segmentation module for computing a segmentation of the depicted liver parenchyma to a plurality of functionally independent liver segments.
23 . The apparatus of claim 22 , wherein said segmentation module is configured for identifying a plurality of planes passing through the depicted liver and performing said segmentation according to said plurality of planes.
24 . The apparatus of claim 22 , further comprising a user interface for allowing a user to refine said segmenting.
25 . The apparatus of claim 22 , further comprising a user interface for allowing a user to mark at least one reference point on said liver parenchyma, said segmentation module configured for receiving said at least one reference point and generating said segmentation accordingly.
26 . The apparatus of claim 22 , wherein said input interface is configured for receiving said medical image from an archiving communication system (PACS).
27 . The apparatus of claim 22 , wherein said medical image is selected from a group consisting of a computed tomography (CT) scan object, a positron emission tomography (PET)/CT scan object, and a digital imaging and communications in medicine (DICOM) object.
28 . The apparatus of claim 22 , further comprising an output unit for separately outputting at least one of said functionally independent liver segments.
29 . The apparatus of claim 22 , wherein said segmentation module separating the liver parenchyma from at least one object depicted in said medical image and performing said identification accordingly.
30 . The apparatus of claim 22 , wherein said segmentation module segmenting at least a portion of a plexus of vessels of the intrahepatic portal system of the liver parenchyma and performing said identification accordingly.
31 . The apparatus of claim 22 , wherein said input interface is configured for receiving said medical image from a remote terminal via a communication network.