Towards ultrasound‐guided adaptive radiotherapy for cervical cancer: Evaluation of Elektas semiautomated uterine segmentation method on 3D ultrasound images

摘要

Purpose3D ultrasound (US) images of the uterus may be used to adapt radiotherapy (RT) for cervical cancer patients based on changes in daily anatomy. This requires accurate on‐line segmentation of the uterus. The aim of this work was to assess the accuracy of Elekta's “Assisted Gyne Segmentation” (AGS) algorithm in semi‐automatically segmenting the uterus on 3D transabdominal ultrasound images by comparison with manual contours.