Dobrina Boltcheva,1,2 Nicolas Passat,1,3 Vincent Agnus,2 Marie-Andrée Jacob-Da Col,1 Christian Ronse,1 Luc Soler2
1Lab. des Sciences de l'Image, de l'informatique et de la Télédétection, CNRS-ULP (France) 2Institut de Recherche Contre les Cancers de L'Appareil Digestif (France) 3Institut de Physique Biologique, Lab. de Neuroimagerie in Vivo, CNRS-ULP (France)
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Surgical planning in oncological liver surgery is based on the location of the 8 anatomical segments according to Couinaud's definition and tumors inside these structures. The detection of the boundaries between the segments is then the first step of the preoperative planning. The proposed method, devoted to binary images of livers segmented from CT-scans, has been designed to delineate these segments. It automatically detects a set of landmarks using a priori anatomical knowledge and differential geometry criteria. These landmarks are then used to position the Couinaud's segments. Validations performed on 7 clinical cases tend to prove that the method is reliable for most of these separation planes.
Dobrina Boltcheva,Nicolas Passat,Vincent Agnus,Marie-Andrée Jacob-Da Col,Christian Ronse, andLuc Soler
"Automatic anatomical segmentation of the liver by separation planes", Proc. SPIE 6141, Medical Imaging 2006: Visualization, Image-Guided Procedures, and Display, 61411A (13 March 2006); https://doi.org/10.1117/12.649747
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Dobrina Boltcheva, Nicolas Passat, Vincent Agnus, Marie-Andrée Jacob-Da Col, Christian Ronse, Luc Soler, "Automatic anatomical segmentation of the liver by separation planes," Proc. SPIE 6141, Medical Imaging 2006: Visualization, Image-Guided Procedures, and Display, 61411A (13 March 2006); https://doi.org/10.1117/12.649747