Automatic anatomical segmentation of the liver by separation planes

Dobrina Boltcheva 1, 2 Nicolas Passat 1, 3 Vincent Agnus 2 Marie-Andrée Jacob-da Col 1 Christian Ronse 1 Luc Soler 2
1 LSIIT - Laboratoire des Sciences de l'Image, de l'Informatique et de la Télédétection
2 IRCAD
3 LNV - Laboratoire de Neuroimagerie in Vivo
Abstract : 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.
Keywords : operation planning discrete differential geometry landmark detection delineation planes computer assisted surgery
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Conference papers
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Dobrina Boltcheva, Nicolas Passat, Vincent Agnus, Marie-Andrée Jacob-da Col, Christian Ronse, et al.. Automatic anatomical segmentation of the liver by separation planes. Medical Imaging, 2006, San Diego, CA, United States. pp.298-309, ⟨10.1117/12.649747⟩. ⟨hal-01694978⟩

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