On evaluation of a multiscale-based CT image analysis and visualisation algorithm

Lam, K; Collins, DJ; Sule-Suso, J; Bhana, R; Moloney, A

Abstract

Development of computed tomography (CT) protocols that minimise radiation dose for specific clinical treatments continues to be a major research focus. Building on the success of an earlier collaborative case study concerning prostate cancer diagnosis with pelvis CT images, this paper presents our evaluation results of a multi-scale texture analytic procedure developed to aid detection of specific anatomical features (abnormality, lesions, etc) in such images. This is a critical step in realising an intelligent and integrated image visualisation platform which will facilitate the construction of highly customised and personalised treatment plans. The ultimate aim is to provide in a single framework optimal software techniques for treatment planning, CT image-guided positioning and treatment delivery.

• Conference Name: International Conference on BioMedical Engineering and Informatics (BMEI)
• Start Date: Dec 16, 2013
• End Date: Dec 18, 2013
• Acceptance Date: Dec 16, 2013
• Publication Date: Dec 16, 2013
• Publisher: Institute of Electrical and Electronics Engineers (IEEE)
• Pages: 148 - 153 (6)
• Series Title: IEEE/BMEI 2013
• ISBN: 978-1-4799-2761-6
• DOI: https://doi.org/10.1109/BMEI.2013.6746924
• Keywords: component, multiscale feature analysis, image segmentation, active contours and Level sets, ground truth, radiotherapy treatment planning
• Publisher URL: https://ieeexplore.ieee.org/document/6746924