On the Impact of Artifacts Induced by Mismatches Between Auto‐Calibration Signal and Accelerated 3D GRE Data at 11.7T
2025-10-18 Joseph Obriot, Franck Mauconduit, Vincent Gras, et al. Magnetic Resonance in Medicine

PURPOSE: field inhomogeneity artifacts arising from remote locations in the FOV and encountered in accelerated 3D gradient-recalled echo (GRE) sequences at ultra-high field, and at providing mitigation strategies. METHODS: Measurements were conducted at 11.7T using a head-shaped phantom and an accelerated 3D GRE…

MRI-NUFFT: Doing non-Cartesian MRI has never been easier
2025-04-15 Pierre-Antoine Comby, Guillaume Daval‐Frérot, Caini Pan, et al. Journal of Open Source Software

MRI-NUFFT is a python package that provides a universal interface to various Non-Uniform Fast Fourier Transform libraries running on CPU or GPU (gpuNUFFT, finufft, cufinufft, pyNFFT), adding compatibility with standard array library (NumPy, CuPy, PyTorch, TensorFlow, etc.) On top of these libraries it extends the…

MRI-NUFFT: An open source Python package to make non-Cartesian MR Imaging easier
2024-11-26 Pierre-Antoine Comby, Guillaume Daval-Frerot, Chaithya Giliyar Radhakrishna, et al. 2025 ISMRM & ISMRT Annual Meeting & Exhibition

Motivation: Non-Cartesian imaging remains complicated to use for MRI due to the high computational cost of the Non-Uniform Fourier Transform for image reconstruction. Goal(s): To provide a uniform interface for reconstructing magnetic resonance images from non-Cartesian k-space data and a collection of non-Cartesian…

Benchmarking common and advanced non-Cartesian trajectories with high acceleration and static off-resonance effects
2024-08-14 Guillaume Daval-Frérot, Chaithya Giliyar Radhakrishna, Fernanda Ponce, et al. ISMRM & ISMRT Annual Meeting & Exhibition

Non-Cartesian sampling patterns allow for highly accelerated MRI exams at the cost of exacerbated and more complex artifacts, each impacting image quality in unique ways. Patient-induced B0 field inhomogeneities can notably cause distortions and blurring, but some trajectories are by design more robust to them.

B0 field distortions monitoring and correction for 3D non-Cartesian fMRI acquisitions using a field camera: Application to 3D-SPARKLING at 7T
2023-08-03 Zaineb Amor, Chaithya Giliyar Radhakrishna, Caroline Le Ster, et al. Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting

The benefit of retrospective correction of static and dynamic B0 field imperfections was studied on non-Cartesian compressed sensing-based acquisition patterns by taking as an example 3D-SPARKLING encoding scheme. Long-TR dynamic acquisitions of T2*-weighted MRI (fMRI-like) volumes were acquired at 7T, retrospectively…

More-sparkling: non-Cartesian trajectories with minimized off-resonance effects
2023-08-03 Chaithya Giliyar Radhakrishna, Guillaume Daval-Frérot, Aurélien Massire, et al. Proceedings of the 30th Annual Meeting of ISMRM

We augment the recently introduced SPARKLING algorithm and propose an improved mathematical formulation that takes the temporal dependence of the MR signal into account. This prevents the trajectories from sampling similar portions of k-space at different times, thereby reducing distortions and blurring induced by (B0…

Impact of ΔB0 field imperfections correction on BOLD sensitivity in 3D-SPARKLING fMRI data
2023-06-03 Zaineb Amor, Caroline Le Ster, Chaithya Giliyar Radhakrishna, et al. Magnetic Resonance in Medicine

Purpose Static and dynamic field imperfections are detrimental to functional MRI (fMRI) applications, especially at ultra‐high magnetic fields (UHF). In this work, a field camera is used to assess the benefits of retrospectively correcting field perturbations on Blood Oxygen Level Dependent (BOLD) sensitivity in…

Improving spreading projection algorithm for rapid k-space sampling trajectories through minimized off-resonance effects and gridding of low frequencies
2023-05-22 Chaithya Giliyar Radhakrishna, Guillaume Daval-Frérot, Aurélien Massire, et al. Magnetic Resonance in Medicine

Purpose Non‐Cartesian MRI with long arbitrary readout directions are susceptible to off‐resonance artifacts due to patient induced inhomogeneities. This results in degraded image quality with strong signal losses and blurring.

Designing and learning non-Cartesian k-space sampling trajectories for accelerated 3D MRI
2023-04-25 Chaithya Giliyar Radhakrishna theses.fr (ABES)

Conception et apprentissage de trajectoires d'échantillonnage non cartésiennes dans l'espace k pour l'IRM 3D accélérée L'imagerie par résonance magnétique (IRM) est une technique d'imagerie médicale non invasive très répandue qui permet de comprendre les structures des tissus du corps humain. Cependant, sa portée et…