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Liver segmentation: indications, techniques and future directions
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 targ...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5519497/ https://www.ncbi.nlm.nih.gov/pubmed/28616760 http://dx.doi.org/10.1007/s13244-017-0558-1 |
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author | Gotra, Akshat Sivakumaran, Lojan Chartrand, Gabriel Vu, Kim-Nhien Vandenbroucke-Menu, Franck Kauffmann, Claude Kadoury, Samuel Gallix, Benoît de Guise, Jacques A. Tang, An |
author_facet | Gotra, Akshat Sivakumaran, Lojan Chartrand, Gabriel Vu, Kim-Nhien Vandenbroucke-Menu, Franck Kauffmann, Claude Kadoury, Samuel Gallix, Benoît de Guise, Jacques A. Tang, An |
author_sort | Gotra, Akshat |
collection | PubMed |
description | 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s13244-017-0558-1) contains supplementary material, which is available to authorised users. |
format | Online Article Text |
id | pubmed-5519497 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-55194972017-08-03 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 Insights Imaging Review 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s13244-017-0558-1) contains supplementary material, which is available to authorised users. Springer Berlin Heidelberg 2017-06-14 /pmc/articles/PMC5519497/ /pubmed/28616760 http://dx.doi.org/10.1007/s13244-017-0558-1 Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Review Gotra, Akshat Sivakumaran, Lojan Chartrand, Gabriel Vu, Kim-Nhien Vandenbroucke-Menu, Franck Kauffmann, Claude Kadoury, Samuel Gallix, Benoît de Guise, Jacques A. Tang, An Liver segmentation: indications, techniques and future directions |
title | Liver segmentation: indications, techniques and future directions |
title_full | Liver segmentation: indications, techniques and future directions |
title_fullStr | Liver segmentation: indications, techniques and future directions |
title_full_unstemmed | Liver segmentation: indications, techniques and future directions |
title_short | Liver segmentation: indications, techniques and future directions |
title_sort | liver segmentation: indications, techniques and future directions |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5519497/ https://www.ncbi.nlm.nih.gov/pubmed/28616760 http://dx.doi.org/10.1007/s13244-017-0558-1 |
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