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Liver segmentation: indications, techniques and future directions.
Gotra, Akshat; Sivakumaran, Lojan; Chartrand, Gabriel; Vu, Kim-Nhien; Vandenbroucke-Menu, Franck; Kauffmann, Claude; Kadoury, Samuel; Gallix, Benoît; de Guise, Jacques A; Tang, An.
Afiliação
  • Gotra A; Department of Radiology, Radio-oncology and Nuclear Medicine, University of Montreal, Saint-Luc Hospital, 1058 rue Saint-Denis, Montreal, QC, H2X 3J4, Canada.
  • Sivakumaran L; Department of Radiology, McGill University, Montreal General Hospital, 1650 Cedar Avenue, Montreal, QC, H3G 1A4, Canada.
  • Chartrand G; University of Montreal, 2900 boulevard Eduoard-Montpetit, Montreal, QC, H3T 1J4, Canada.
  • Vu KN; Centre de recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), 900 rue Saint-Denis, Montreal, QC, H2X 0A9, Canada.
  • Vandenbroucke-Menu F; Imaging and Orthopaedics Research Laboratory (LIO), École de technologie supérieure, Centre de recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), 900 rue Saint-Denis, Montreal, QC, H2X 0A9, Canada.
  • Kauffmann C; Department of Radiology, Radio-oncology and Nuclear Medicine, University of Montreal, Saint-Luc Hospital, 1058 rue Saint-Denis, Montreal, QC, H2X 3J4, Canada.
  • Kadoury S; Department of Hepato-biliary and Pancreatic Surgery, University of Montreal, Saint-Luc Hospital, 1058 rue Saint-Denis, Montreal, QC, H2X 3J4, Canada.
  • Gallix B; Department of Radiology, Radio-oncology and Nuclear Medicine, University of Montreal, Saint-Luc Hospital, 1058 rue Saint-Denis, Montreal, QC, H2X 3J4, Canada.
  • de Guise JA; Centre de recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), 900 rue Saint-Denis, Montreal, QC, H2X 0A9, Canada.
  • Tang A; École Polytechnique de Montréal, University of Montreal, 2500 chemin de Polytechnique Montréal, Montreal, QC, H3T 1J4, Canada.
Insights Imaging ; 8(4): 377-392, 2017 Aug.
Article em En | MEDLINE | ID: mdl-28616760
OBJECTIVES: Liver volumetry has emerged as an important tool in clinical practice. Liver volume is assessed primarily via organ segmentation of computed tomography (CT) and magnetic resonance imaging (MRI) images. The goal of this paper is to provide an accessible overview of liver segmentation targeted at radiologists and other healthcare professionals. METHODS: Using images from CT and MRI, this paper reviews the indications for liver segmentation, technical approaches used in segmentation software and the developing roles of liver segmentation in clinical practice. RESULTS: Liver segmentation for volumetric assessment is indicated prior to major hepatectomy, portal vein embolisation, associating liver partition and portal vein ligation for staged hepatectomy (ALPPS) and transplant. Segmentation software can be categorised according to amount of user input involved: manual, semi-automated and fully automated. Manual segmentation is considered the "gold standard" in clinical practice and research, but is tedious and time-consuming. Increasingly automated segmentation approaches are more robust, but may suffer from certain segmentation pitfalls. Emerging applications of segmentation include surgical planning and integration with MRI-based biomarkers. CONCLUSIONS: Liver segmentation has multiple clinical applications and is expanding in scope. Clinicians can employ semi-automated or fully automated segmentation options to more efficiently integrate volumetry into clinical practice. TEACHING POINTS: • Liver volume is assessed via organ segmentation on CT and MRI examinations. • Liver segmentation is used for volume assessment prior to major hepatic procedures. • Segmentation approaches may be categorised according to the amount of user input involved. • Emerging applications include surgical planning and integration with MRI-based biomarkers.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline Idioma: En Revista: Insights Imaging Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Canadá

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline Idioma: En Revista: Insights Imaging Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Canadá