DD-INR: Dynamics-Driven Implicit Neural Representation for Accelerated Whole-Brain Functional MRI Reconstruction
2026-06-09 Qiaoxin Li, Caini Pan, Pierre-Antoine Comby, et al. Lecture Notes in Computer Science

Accelerated acquisition of fMRI enables enhanced detection of neurovascular (BOLD) activity in the brain, but image reconstruction becomes challenging with high k-space undersampling: Task-evoked BOLD signals are small in magnitude, which traditional anatomical MRI reconstruction methods fail to recover, as they favor…

Combining Cartesian and non-Cartesian acceleration techniques with SPARKLING for 1mm isotropic whole-brain MPRAGE in a minute
2026-05-29 Chaithya Giliyar Radhakrishna, Aurélien Massire, Blanche Bapst, et al. arXiv preprint arXiv:2605.31017

Purpose: T1-weighted MPRAGE remains a cornerstone of clinical anatomical imaging, yet its long acquisition times constrain routine use. Established acceleration techniques, namely Parallel Imaging (PI) and Compressed Sensing (CS), tend to introduce substantial noise and blurring when pushed to high acceleration…

Bringing GRAPPA to non-Cartesian MRI through SPARKLING: An application to MP-RAGE anatomical MRI
2025-09-16 Chaithya Giliyar Radhakrishna, Alexandre Vignaud, Maxime Bertrait, et al. ISMRM & ISMRT 2025-Annual Meeting & Exhibition

Motivation: Well established clinically used parallel imaging techniques like GRAPPA and CAIPIRINHA are mostly limited to Cartesian sampling, and their extension to non-Cartesian sampling is not direct. Goal(s): We propose to extend the SPARKLING framework to ensure GRAPPA accelerated Cartesian sampling in k-space…