Survey on Liver Tumour Resection Planning System: Steps, Techniques, and Parameters.
Preoperative planning for liver surgical treatments is an essential planning tool that aids in reducing the risks of surgical resection. Based on the computed tomography (CT) images, the resection can be planned before the actual tumour resection surgery. The computer-aided system provides an overvi...
| Published in: | Journal of Digital Imaging Vol. 33; no. 2; pp. 304 - 324 |
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| Main Authors: | , |
| Format: | diagnostic images equations & formulas pictorial review tables/charts Journal Article |
| Published: |
Springer Nature
Apr2020
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=142764009&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 142764009 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Apr2020 vid: 33 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 142764009 142764009 142764009 10.1007/s10278-019-00262-8 142764009 ppf: 304 ppct: 20 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Survey on Liver Tumour Resection Planning System: Steps, Techniques, and Parameters. aug: au: Alirr, Omar Ibrahim Rahni, Ashrani Aizzuddin Abd. affil: Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 UKM, Bangi, Selangor, Malaysia sug: subj: Planning Techniques Diagnosis, Computer Assisted Risk Assessment Liver Neoplasms Surgery Surveys Physicians Liver Neoplasms Radiography Imaging, Three-Dimensional Tomography, X-Ray Computed Algorithms ab: Preoperative planning for liver surgical treatments is an essential planning tool that aids in reducing the risks of surgical resection. Based on the computed tomography (CT) images, the resection can be planned before the actual tumour resection surgery. The computer-aided system provides an overview of the spatial relationships of the liver organ and its internal structures, tumours, and vasculature. It also allows for an accurate calculation of the remaining liver volume after resection. The aim of this paper was to review the main stages of the computer-aided system that helps to evaluate the risk of resection during liver cancer surgical treatments. The computer-aided system assists with surgical planning by enabling physicians to get volumetric measurements and visualise the liver, tumours, and surrounding vasculature. In this paper, it is concluded that for accurate planning of tumour resections, the liver organ and its internal structures should be segmented to understand the clear spatial relationship between them, thus allowing for a safer resection. This paper presents the main proposed segmentation techniques for each stage in the computer-aided system, namely the liver organ, tumours, and vessels. From the reviewed methods, it has been found that instead of relying on a single specific technique, a combination of a group of techniques would give more accurate segmentation results. The extracted masks from the segmentation algorithms are fused together to give the surgeons the 3D visualisation tool to study the spatial relationships of the liver and to calculate the required resection planning parameters. pubtype: Academic Journal doctype: diagnostic images equations & formulas pictorial review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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