Multi-object active shape model construction for abdomen segmentation: preliminary results.
The automatic segmentation of abdominal organs is a pre-requisite for many medical applications. Successful methods typically rely on prior knowledge about the to be segmented anatomy as it is for instance provided by means of active shape models (ASMs). Contrary to most previous ASM based methods, this work does not focus on individual organs. Instead, a more holistic approach that aims at exploiting inter-organ relationships to eventually segment a complex of organs is proposed. Accordingly, a flexible framework for automatic construction of multi-object ASMs is introduced, employed for coupled shape modeling, and used for co-segmentation of liver and spleen based on a new coupled shape/separate pose approach. Our first results indicate feasible segmentation accuracies, whereas pose decoupling leads to substantially better segmentation results and performs in average also slightly better than the standard single-object ASM approach.
Institute of Medical Engineering, University of Lübeck, 23562 Lübeck, Germany. fgollmer@imt.uni-luebeck.de
Sebastian T
ST
Gollmer
Martin
M
Simon
Arpad
A
Bischof
Jorg
J
Barkhausen
Thorsten M
TM
Buzug
D000005:Abdomen / Q000033:anatomy & histology*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008099:Liver / Q000033:anatomy & histology / Q000000981:diagnostic imaging; D008953:Models, Anatomic; D009928:Organ Specificity; D011860:Radiography, Abdominal; D013154:Spleen / Q000033:anatomy & histology / Q000000981:diagnostic imaging; D014057:Tomography, X-Ray Computed