Explanipedia

Denoising very low-field magnetic resonance images using native noise modeling Open

Tonny Ssentamu, Alvin Kimbowa, Ronald Omoding, Edgar Atamba, Pius K Mukwaya , et al. · 2025

Low-field MRI is gaining interest, especially in low-resource settings, due to its low cost, portability, small footprint, and low power consumption. However, it suffers from significant noise, limiting its clinical utility. This study int…

MRI4ALL: A Week‐Long Hackathon for the Development of an Open‐Source Ultra‐Low‐Field MRI System Open

Kai Tobias Block, Chengtong Zhang, Vito Ciancia, Clarissa Cooley, Sairam Geethanath , et al. · 2025

The goal of the MRI4ALL hackathon, which took place in October 2023, was to develop a functional low‐field MRI scanner in just one week and to release all created source code and resources as open‐source packages. The event was attended by…

A standalone and cost-effective MR-compatible computer numerical control machine for simultaneous, multi-parameter mapping Open

Ivan Etoku Oiye, Pavan Poojar, Enlin Qian, J. Thomas Vaughan, Sairam Geethanath · 2025

Measuring parameters like magnetic field strength and temperature inside a magnet bore is of interest to characterize the system and use that information for downstream image quality improvement or to determine safety thresholds. Multiple …

Automated detection of motion artifacts in brain MR images using deep learning and explainable artificial intelligence Open

Marina Manso Jimeno, Keerthi Sravan Ravi, Maggie Fung, Jr. Vaughan, Sairam Geethanath · 2024

Quality assessment, including inspecting the images for artifacts, is a critical step during MRI data acquisition to ensure data quality and downstream analysis or interpretation success. This study demonstrates a deep learning model to de…

Enhancement of nutraceutical components of mushroom by uv exposure and extension of their shelf-life using edible coating material adopting online assessment of keeping quality by Magnetic Resonance Imaging (MRI) technique Open

Shashank A. Tidke, B Pooja, Manjula B.V, Roma Singh, R Shora , et al. · 2024

To enhance the nutraceutical value and preservation of mushrooms, this study focused on augmenting two widely consumed mushroom varieties in India namely the Button Mushroom (Pleurotus ostreatus) and Oyster Mushroom (Agaricus bisporus). Th…

Editorial: Autonomous magnetic resonance imaging Open

Sairam Geethanath, Rita G. Nunes, Jon‐Fredrik Nielsen · 2023

EDITORIAL article Front. Neuroimaging, 29 August 2023Sec. Neuroimaging Analysis and Protocols Volume 2 - 2023 | https://doi.org/10.3389/fnimg.2023.1277580

Developing and deploying deep learning models in brain magnetic resonance imaging: A review Open

Kunal Aggarwal, Marina Manso Jimeno, Keerthi Sravan Ravi, Gilberto González, Sairam Geethanath · 2023

Magnetic resonance imaging (MRI) of the brain has benefited from deep learning (DL) to alleviate the burden on radiologists and MR technologists, and improve throughput. The easy accessibility of DL tools has resulted in a rapid increase o…

Magnetic resonance fingerprinting based thermometry (MRFT): application to ex vivo imaging near DBS leads Open

Enlin Qian, Pavan Poojar, Maggie Fung, Zhezhen Jin, J. Thomas Vaughan , et al. · 2023

The purpose of this study is to demonstrate the first work of T 1 -based magnetic resonance thermometry using magnetic resonance fingerprinting (dubbed MRFT). We compared temperature estimation of MRFT with proton resonance frequency shift…

Repeatability of image quality in very low field MRI Open

Pavan Poojar Kunal Aggarwal, Marina Manso Jimeno, Sairam Geethanath · 2023

We investigated the repeatability of image quality metrics such as SNR, image uniformity, and geometrical distortion at 0.05T over ten days and three sessions per day. The measurements included temperature, humidity, transmit frequency, of…

Virtual Scanner Games: expanding access to Magnetic Resonance (MR) education through interactive web tutorials Open

Gehua Tong, Rishi Ananth, Jr. Vaughan, Sairam Geethanath · 2023

Background: Magnetic Resonance Imaging (MRI) is a medical imaging technique that combines principles of physics, math, and engineering to look inside humans and animals, hence delivering a lifesaving technology. However, resource-poor regi…

Accelerated MRI using intelligent protocolling and subject-specific denoising applied to Alzheimer's disease imaging Open

Keerthi Sravan Ravi, Gautham Nandakumar, Nikita Thomas, Mason Lim, Enlin Qian , et al. · 2023

Magnetic Resonance Imaging (MR Imaging) is routinely employed in diagnosing Alzheimer's Disease (AD), which accounts for up to 60–80% of dementia cases. However, it is time-consuming, and protocol optimization to accelerate MR Imaging requ…

Magnetic Resonance Fingerprinting based Thermometry (MRFT): application to ex vivo imaging near DBS leads Open

Enlin Qian, Pavan Poojar, Maggie Fung, Zhezhen Jin, T. Vaughan , et al. · 2023

The purpose of this study is to demonstrate the first work of T 1 -based magnetic resonance thermometry using magnetic resonance fingerprinting (dubbed MRFT). We compared temperature estimation of MRFT with proton resonance frequency shift…

Developing and deploying deep learning models in brain MRI: a review Open

Kunal Aggarwal, Marina Manso Jimeno, Keerthi Sravan Ravi, Gilberto González, Sairam Geethanath · 2023

Magnetic Resonance Imaging (MRI) of the brain has benefited from deep learning (DL) to alleviate the burden on radiologists and MR technologists, and improve throughput. The easy accessibility of DL tools have resulted in the rapid increas…

Accelerated MRI using intelligent protocolling and subject-specific denoising applied to Alzheimer’s disease imaging Open

Keerthi Sravan Ravi, Gautham Nandakumar, Nikita Thomas, Mason Lim, Enlin Qian , et al. · 2022

Magnetic Resonance Imaging (MRI) is expensive and time-consuming. Protocol optimization to accelerate MRI requires local expertise since each MR sequence involves multiple configurable parameters that need optimization for contrast, acquis…

A framework for advancing sustainable magnetic resonance imaging access in Africa Open

Udunna Anazodo, Jinggang J. Ng, Boaz Ehiogu, Johnes Obungoloch, Abiodun Fatade , et al. · 2022

Magnetic resonance imaging (MRI) technology has profoundly transformed current healthcare systems globally, owing to advances in hardware and software research innovations. Despite these advances, MRI remains largely inaccessible to clinic…

Tailored magnetic resonance fingerprinting of post-operative pediatric brain tumor patients Open

Pavan Poojar, Enlin Qian, Zhezhen Jin, Maggie Fung, Alexis Maddocks , et al. · 2022

Purpose Brain and spinal cord tumors are the second most common cancer in children and account for one out of four cancers diagnosed. However, the long acquisition times associated with acquiring both data types prohibit using quantitative…

Tailored Magnetic Resonance Fingerprinting Open

Pavan Poojar, Enlin Qian, Maggie Fung, Patrick Quarterman, Sachin Jambawalikar , et al. · 2022

Neuroimaging of certain pathologies requires both multi-parametric qualitative and quantitative imaging. The role of the quantitative MRI (qMRI) is well accepted but suffers from long acquisition times leading to patient discomfort, especi…

Superconducting magnet designs and MRI accessibility: a review Open

Marina Manso Jimeno, J. Thomas Vaughan, Sairam Geethanath · 2022

Presently, Magnetic Resonance Imaging (MRI) magnets must deliver excellent magnetic field (B0) uniformity to achieve optimum image quality. Long magnets can satisfy the homogeneity requirements but require considerable superconducting mate…

A Framework for Advancing Sustainable MRI Access in Africa Open

Udunna Anazodo, Jinggang J. Ng, Boaz Ehiogu, Johnes Obungoloch, Abiodun Fatade , et al. · 2022

Summary MRI technology has profoundly transformed current healthcare and research systems globally. The rapidly growing burden of non-communicable diseases in Africa has underscored the importance of improving access to MRI equipment as we…

Open-source magnetic resonance imaging acquisition: Data and documentation for two validated pulse sequences Open

Gehua Tong, Andreia Gaspar, Enlin Qian, Keerthi Sravan Ravi, J. Thomas Vaughan , et al. · 2022

Raw data, simulated and acquired phantom images, and quantitative longitudinal and transverse relaxation times (T₁/T₂) maps from two open-source Magnetic Resonance Imaging (MRI) pulse sequences are presented in this d…

Emerging ethical issues raised by highly portable MRI research in remote and resource-limited international settings Open

Francis X. Shen, Susan M. Wolf, Supriya Bhavnani, Sean Deoni, Jed T. Elison , et al. · 2021

Quantitative imaging metrics derived from magnetic resonance fingerprinting using ISMRM/NIST MRI system phantom: An international multicenter repeatability and reproducibility study Open

Amaresha Shridhar Konar, Enlin Qian, Sairam Geethanath, Guido Buonincontri, Nancy A. Obuchowski , et al. · 2021

Purpose To compare the bias and inherent reliability of the quantitative (T 1 and T 2 ) imaging metrics generated from the magnetic resonance fingerprinting (MRF) technique using the ISMRM/NIST system phantom in an international multicente…

Off-resonance CorrecTion OPen soUrce Software (OCTOPUS) Open

Marina Manso Jimeno, John Vaughan, Sairam Geethanath · 2021

OCTOPUS is a Python-based software for correction of off-resonance artifacts in Magnetic Resonance (MR) images.It implements three different methods for correction of both Cartesian and non-Cartesian data: Conjugate Phase Reconstruction (C…

Effects of Yoga Exercises on Diabetic Mellitus as Validated by Magnetic Resonance Imaging Open

Arush Honnedevasthana Arun, S Vatsalya, Shivaprasad Ashok Chikop, Sairam Geethanath · 2021

Context and Aims: Effects of practicing yoga in diabetic mellitus (DM) patients have been identified to improve in control of blood glucose levels. The purpose of this work is to evaluate changes in blood flow of calf muscles after specifi…

Deep Learning-Based Denoising for High b-Value at 2000 s/mm2 Diffusion-Weighted Imaging Open

Seema S. Bhat, Pavan Poojar, Chennagiri Rajarao Padma, Rishi Kashyap Ananth, M. C. Hanumantharaju , et al. · 2021

Diffusion-weighted imaging (DWI) allows white matter quantification of the white matter tracts of the brain. However, at a high b-value (≥ 2000 s/mm2), DWI acquisition suffers from noise due to longer acquisition times obscuring white matt…

Autonomous Magnetic Resonance Imaging Open

Keerthi Sravan Ravi, Sairam Geethanath · 2020

Access to Magnetic Resonance Imaging (MRI) across developing countries from being prohibitive to scarcely available. For example, eleven countries in Africa have no scanners. One critical limitation is the absence of skilled manpower requi…

Virtual Scanner: MRI on a Browser Open

Gehua Tong, Sairam Geethanath, Marina Manso Jimeno, Enlin Qian, Keerthi Sravan Ravi , et al. · 2019

Virtual Scanner: MRI on a Browser Open

Gehua Tong, Sairam Geethanath, Marina Manso Jimeno, Enlin Qian, Keerthi Sravan Ravi , et al. · 2019

Virtual Scanner is an end-to-end hybrid Magnetic Resonance Imaging (MRI) simulator/console designed to be zero-footprint, modular, and supported by open-source standards. This paper outlines the software design and functionalities. The rep…

PyPulseq: A Python Package for MRI Pulse Sequence Design Open

Keerthi Sravan Ravi, Sairam Geethanath, John Vaughan · 2019

Magnetic Resonance Imaging (MRI) is a critical component of healthcare.MRI data is acquired by playing a series of radio-frequency and magnetic field gradient pulses.Designing these pulse sequences requires knowledge of specific programmin…

Compressed sensing to accelerate magnetic resonance spectroscopic imaging: evaluation and application to 23Na-imaging of mouse hearts Open

Mahon L. Maguire, Sairam Geethanath, Craig A. Lygate, Vikram D. Kodibagkar, Jürgen E. Schneider · 2015

Relative signal amplitudes (i.e. metabolite ratios) and absolute quantification of metabolite concentrations can be accurately determined with up to 5-fold under-sampled, CS-reconstructed MRSI. Although this work focused on murine cardiac …

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