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

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

Authors

DJ Collins

R Bhana

A Moloney



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

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