Machine-assisted interpolation algorithm for semi-automated segmentation of highly deformable organs.

ABSTRACT:

Purpose

Accurate and robust auto-segmentation of highly deformable organs (HDOs), for example, stomach or bowel, remains an outstanding problem due to these organs' frequent and large anatomical variations. Yet, time-consuming manual segmentation of these organs presents a particular challenge to time-limited modern radiotherapy techniques such as on-line adaptive radiotherapy and high-dose-rate brachytherapy. We propose a machine-assisted interpolation (MAI) that uses prior information in the form of sparse manual delineations to facilitate rapid, accurate segmentation of the stomach from low field magnetic resonance images (MRI) and the bowel from computed tomography (CT) images.

Methods

Stomach MR images from 116 patients undergoing 0.35T MRI-guided abdominal radiotherapy

SUBMITTER: Luximon DC 

PROVIDER: S-EPMC8758550 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature