Evaluation of an automatic segmentation algorithm for definition of head and neck organs at risk.
AuthorsThomson, David J
Boylan, Christopher J
Aitkenhead, Adam H
Lee, Lip W
Yap, Beng K
Sykes, Andrew J
Rowbottom, Carl G
Slevin, Nicholas J
AffiliationDepartment of Clinical Oncology, The Christie NHS Foundation Trust, Wilmslow Road, Manchester M20 4BX, UK. Nick.Slevin@christie.nhs.uk.
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AbstractThe accurate definition of organs at risk (OARs) is required to fully exploit the benefits of intensity-modulated radiotherapy (IMRT) for head and neck cancer. However, manual delineation is time-consuming and there is considerable inter-observer variability. This is pertinent as function-sparing and adaptive IMRT have increased the number and frequency of delineation of OARs. We evaluated accuracy and potential time-saving of Smart Probabilistic Image Contouring Engine (SPICE) automatic segmentation to define OARs for salivary-, swallowing- and cochlea-sparing IMRT.
CitationEvaluation of an automatic segmentation algorithm for definition of head and neck organs at risk. 2014, 9:173 Radiat Oncol
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