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Full-Text Articles in Medicine and Health Sciences
A Proposed Framework For Consensus-Based Lung Tumour Volume Auto-Segmentation In 4d Computed Tomography Imaging., Spencer Martin, Mark Brophy, David Palma, Alexander V Louie, Edward Yu, Brian Yaremko, Belal Ahmad, John L Barron, Steven S Beauchemin, George Rodrigues, Stewart Gaede
A Proposed Framework For Consensus-Based Lung Tumour Volume Auto-Segmentation In 4d Computed Tomography Imaging., Spencer Martin, Mark Brophy, David Palma, Alexander V Louie, Edward Yu, Brian Yaremko, Belal Ahmad, John L Barron, Steven S Beauchemin, George Rodrigues, Stewart Gaede
Medical Biophysics Publications
This work aims to propose and validate a framework for tumour volume auto-segmentation based on ground-truth estimates derived from multi-physician input contours to expedite 4D-CT based lung tumour volume delineation. 4D-CT datasets of ten non-small cell lung cancer (NSCLC) patients were manually segmented by 6 physicians. Multi-expert ground truth (GT) estimates were constructed using the STAPLE algorithm for the gross tumour volume (GTV) on all respiratory phases. Next, using a deformable model-based method, multi-expert GT on each individual phase of the 4D-CT dataset was propagated to all other phases providing auto-segmented GTVs and motion encompassing internal gross target volumes (IGTVs) …