DTI with Minimal Data: Image Translation Based Distortion Correction and FA Map Generation for Clinical Efficiency
Ya Cui, Hongjia Qi, Zengji Zhang, Haiqing Zhang, Siyu Yuan, Bingyang Cai, Jiwei Li, Miao Zhang, Zhenkui Wang, Li Tong, Jie Luo · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition · 2025
Motivation: Current DTI processing requires around 30 directions per shell to ensure data quality, which is difficult to obtain in certain vulnerable patient groups. Goal(s): To reduce number of DWI directions needed in clinical study. Approach: This study proposes a pipeline with translation-based registration method to correct both distortions and motion artifacts, followed by a generative adversarial network (GAN) to generate fractional anisotropy map, leveraging high quality data from HCP, with fine-tuning for applications. Results: We validate this approach in a subset of HCP DTI, healthy volunteer, and on epilepsy patient data, using only 6 DWI images while preserving lesion details. Impact: Success of the proposed pipeline will enable much shorter DTI acquisition time for patients who cannot stay still throughout a multidirectional DTI scans, which holds great potential to becoming a promising tool for clinical applications.