Direct volume manipulation for visualizing intraoperative liver resection process

• Published in: Computer methods and programs in biomedicine Vol. 113; no. 3; pp. 725 - 735
• Main Authors: Nakao, Megumi, Oda, Yuya, Taura, Kojiro, Minato, Kotaro
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ireland Ltd 01-03-2014; Elsevier
• Subjects: Algorithms; Applied sciences; Artificial intelligence; Biological and medical sciences; Computational Biology; Computer aided surgery; Computer programs; Computer science; control theory; systems; Computer simulation; Deformation; Digestive System Surgical Procedures - statistics & numerical data; Editing; Elasticity; Encoding; Exact sciences and technology; Finite Element Analysis; Humans; Imaging, Three-Dimensional - statistics & numerical data; Internal Medicine; Intraoperative Period; Liver; Liver - pathology; Liver - surgery; Liver Neoplasms - pathology; Liver Neoplasms - physiopathology; Liver Neoplasms - surgery; Liver resection; Liver, biliary tract, pancreas, portal circulation, spleen; Medical sciences; Models, Biological; Organ Size; Other; Pattern recognition. Digital image processing. Computational geometry; Proxy client servers; Shape editing; Software; Surgery (general aspects). Transplantations, organ and tissue grafts. Graft diseases; Surgery of the digestive system; Surgery, Computer-Assisted - statistics & numerical data; Technology. Biomaterials. Equipments; Twisting; Volume manipulation; Computer aided surgery; Volume manipulation; Liver resection; Shape editing; Occlusion; Computer vision; Liver; Intraoperative; Surgical resection; Modeling; Interactive system; User interface; Surgery; Manipulation; Computer graphics; Tumor; Circulatory system; Occultation; Mechanical deformation
• ISSN: 0169-2607; 1872-7565
• DOI: 10.1016/j.cmpb.2013.12.004

Abstract This paper introduces a new design and application for direct volume manipulation for visualizing the intraoperative liver resection process. So far, interactive volume deformation and resection have been independently handled due to the difficulty of representing elastic behavior of volumetric objects. Our framework models global shape editing and discontinuous local deformation by merging proxy geometry encoding and displacement mapping. A local-frame-based elastic model is presented to allow stable editing of the liver shape including bending and twisting while preserving the volume. Several tests using clinical CT data have confirmed the developed software and interface can represent the intraoperative state of liver and produce local views of reference vascular structures, which provides a “road map of vessels” that are key features when approaching occluded tumors during surgery.