Development and evaluation of ultrasound image tracking technology based on Mask R-CNN applied to respiratory motion compensation system.

ABSTRACT:

Background

For respiration induced tumor displacement during a radiation therapy, a common method to prevent the extra radiation is image-guided radiation therapy. Moreover, mask region-based convolutional neural networks (Mask R-CNN) is one of the state-of-the-art (SOTA) object detection frameworks capable of conducting object classification, localization, and pixel-level instance segmentation.

Methods

We developed a novel ultrasound image tracking technology based on Mask R-CNN for stable tracking of the detected diaphragm motion and applied to the respiratory motion compensation system (RMCS). For training Mask R-CNN, 1800 ultrasonic images of the human diaphragm are collected. Subsequently, an ultrasonic image tracking algorithm was developed to compute the mean pixel co

SUBMITTER: Ting LL 

PROVIDER: S-EPMC10585533 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature