Feasibility of Image Registration for Ultrasound-Guided Prostate Radiotherapy Based on Similarity Measurement by a Convolutional Neural Network.

CONCLUSION:: Convolutional neural network evaluation against manual registration and an advanced normalized correlation -based registration demonstrated better accuracy and reliability of the convolutional neural network. This suggests that with training on a large data set of transperineal ultrasound prostate images, the convolutional neural network method has potential for robust ultrasound-to-ultrasound registration.
PMID: 30803364 [PubMed - in process]

Source: Technology in Cancer Research and Treatment - January 1, 2019 Category: Cancer & Oncology Authors: Zhu N, Najafi M, Han B, Hancock S, Hristov D Tags: Technol Cancer Res Treat Source Type: research