Survey on Liver Tumour Resection Planning System: Steps, Techniques, and Parameters

Omar Ibrahim Alirr, Ashrani Aizzuddin Abd Rahni

Research output: Contribution to journalReview article

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
JournalJournal of Digital Imaging
DOIs
Publication statusAccepted/In press - 1 Jan 2019

Fingerprint

Liver
Tumors
Planning
Computer Systems
Neoplasms
Liver Neoplasms
Masks
Surveys and Questionnaires
Surgery
Tomography
Visualization
Physicians
Therapeutics

Keywords

  • Computed tomography
  • Liver tumour
  • Resection planning
  • Segmentation

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications

Cite this

Survey on Liver Tumour Resection Planning System : Steps, Techniques, and Parameters. / Alirr, Omar Ibrahim; Abd Rahni, Ashrani Aizzuddin.

In: Journal of Digital Imaging, 01.01.2019.

Research output: Contribution to journalReview article

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