3D multi-modality medical image registration with synthetic image augmentation using CycleGAN

• Main Author: Mukherjee, Mitali Nirmallya
• Other Authors: Jagath C Rajapakse
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2022
• Subjects: Engineering::Computer science and engineering
• Online Access: https://hdl.handle.net/10356/156702
• Institution: Nanyang Technological University

This report proposes a 3D multi-modality medical image registration network with CycleGAN-based synthetic image augmentation. The method is designed for intra-subject brain CT-MRI registration. A broad overview of our method is to first generate a synthetic CT image from the MRI using the CycleGAN a...