3D liver segmentation in preoperative CT images using a level-sets active surface method.
In this work we propose an active surface method to segment complete liver volumes from preoperative CT abdominal images. The method finds the surface that minimizes an energy function combining intensity inside and outside the surface, gradient information and curvature restrictions. The implementation is based on a level set technique following a multi-resolution strategy to reduce computing time. It requires only a single seed point inside the liver to initialize the active surface. The algorithm has been validated on a set of previously diagnosed livers. Resulting segmentations have been supervised by clinicians and radiologists, and numerically evaluated in terms of volume measurements with respect to those obtained from radiologists' manual segmentations. Additionally, radiologists analyzed the necessity of additional corrections on segmenting volumes.
Fernandez-de-Manuel
Laura
L
Group of Biomedical Image Technologies, ETSIT, Universidad Politécnica de Madrid, Madrid 28040, Spain. lfernandez@die.upm.es
Rubio
Jose L
JL
Ledesma-Carbayo
Maria J
MJ
Pascau
Javier
J
Tellado
Jose M
JM
Ramon
Enrique
E
Desco
Manuel
M
Santos
Andres
A
D000465:Algorithms; D003198:Computer Simulation; D003952:Diagnostic Imaging / Q000379:methods; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008099:Liver / Q000000981:diagnostic imaging* / Q000473:pathology* / Q000601:surgery; D008113:Liver Neoplasms / Q000000981:diagnostic imaging* / Q000601:surgery; D015233:Models, Statistical; D009362:Neoplasm Metastasis; D011871:Radiology / Q000379:methods; D014057:Tomography, X-Ray Computed / Q000379:methods*