- Advanced MRI Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
- NMR spectroscopy and applications
- Functional Brain Connectivity Studies
- Multiple Sclerosis Research Studies
- Bone and Joint Diseases
- Cancer Diagnosis and Treatment
- Advanced NMR Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Atomic and Subatomic Physics Research
- Lanthanide and Transition Metal Complexes
- Long-Term Effects of COVID-19
- Medical Image Segmentation Techniques
- Advanced Image Processing Techniques
- Medical Imaging and Analysis
- Traumatic Brain Injury and Neurovascular Disturbances
- Image and Signal Denoising Methods
- Bladder and Urothelial Cancer Treatments
- Cerebrospinal fluid and hydrocephalus
- Fetal and Pediatric Neurological Disorders
- Traumatic Brain Injury Research
- Radiation Dose and Imaging
- Glioma Diagnosis and Treatment
Harvard University
2016-2025
Harvard–MIT Division of Health Sciences and Technology
2008-2025
Athinoula A. Martinos Center for Biomedical Imaging
2016-2025
Massachusetts General Hospital
2016-2025
Massachusetts Institute of Technology
2018-2025
Hankuk University of Foreign Studies
2024
Shanghai Changning Mental Health Center
2022
East China Normal University
2022
United States Nuclear Regulatory Commission
2019-2021
Siemens Healthcare (United States)
2015
Purpose To develop an efficient acquisition for high‐resolution diffusion imaging and allow in vivo whole‐brain acquisitions at 600‐ to 700‐μm isotropic resolution. Methods We combine blipped‐controlled aliasing parallel simultaneous multislice (SMS) with a novel slab radiofrequency (RF) encoding gSlider (generalized slice‐dithered enhanced resolution) form signal‐to‐noise ratio–efficient volumetric multislab acquisition. Here, multiple thin slabs are acquired simultaneously controlled...
Diffusion tensor magnetic resonance imaging (DTI) is unsurpassed in its ability to map tissue microstructure and structural connectivity the living human brain. Nonetheless, angular sampling requirement for DTI leads long scan times poses a critical barrier performing high-quality routine clinical practice large-scale research studies. In this work we present new processing framework entitled DeepDTI that minimizes data of six diffusion-weighted images (DWIs) required by conventional...
We evaluated the incidence, distribution, and histopathologic correlates of microvascular brain lesions in patients with severe COVID-19. Sixteen consecutive admitted to intensive care unit COVID-19 undergoing MRI for evaluation coma or neurologic deficits were retrospectively identified. Eleven had punctate susceptibility-weighted imaging (SWI) subcortical deep white matter, eight >10 SWI lesions, four involving corpus callosum. The distribution was similar that seen hypoxic respiratory...
Abstract We present a whole-brain in vivo diffusion MRI (dMRI) dataset acquired at 760 μm isotropic resolution and sampled 1260 q-space points across 9 two-hour sessions on single healthy participant. The creation of this benchmark is possible through the synergistic use advanced acquisition hardware software including high-gradient-strength Connectom scanner, custom-built 64-channel phased-array coil, personalized motion-robust head stabilizer, recently developed SNR-efficient dMRI method,...
Diffusion tensor magnetic resonance imaging (DTI) is a widely adopted neuroimaging method for the in vivo mapping of brain tissue microstructure and white matter tracts. Nonetheless, noise diffusion-weighted images (DWIs) decreases accuracy precision DTI derived microstructural parameters leads to prolonged acquisition time achieving improved signal-to-noise ratio (SNR). Deep learning-based image denoising using convolutional neural networks (CNNs) has superior performance but often requires...
United States (US) Special Operations Forces (SOF) are frequently exposed to explosive blasts in training and combat, but the effects of repeated blast exposure (RBE) on SOF brain health incompletely understood. Furthermore, there is no diagnostic test detect injury from RBE. As a result, personnel may experience cognitive, physical, psychological symptoms for which cause never identified, they return or combat during period vulnerability. In 30 active-duty US SOF, we assessed relationship...
To evaluate the diagnostic performance of a 3-min ultrafast brain MRI and MRA protocol for screening acute ischemic stroke. This study involved 67 adult patients who underwent reference scans from September 2023 to June 2024 stroke evaluation. Two readers independently assessed images in masked randomized manner chronic infarct hemorrhage as well large-vessel occlusion severe stenosis. A 3-point Likert scale was used quality sequences Cohen's κ assess interrater agreement. The showed high...
Many patients with severe coronavirus disease 2019 (COVID‐19) remain unresponsive after surviving critical illness. Although several structural brain abnormalities have been described, their impact on function and implications for prognosis are unknown. Functional neuroimaging, which has prognostic significance, yet to be explored in this population. Here we describe a patient COVID‐19 who, despite prolonged unresponsiveness abnormalities, demonstrated intact functional network connectivity,...
Axon diameter mapping using high-gradient diffusion MRI has generated great interest as a noninvasive tool for studying trends in axonal size the human brain. One of main barriers to axon across whole brain is accounting complex white matter fiber configurations (e.g., crossings and fanning), which are prevalent throughout Here, we present framework generalizing index estimation independent underlying orientation distribution spherical mean technique (SMT). This approach shown significantly...
To introduce a combined machine learning (ML)- and physics-based image reconstruction framework that enables navigator-free, highly accelerated multishot echo planar imaging (msEPI) demonstrate its application in high-resolution structural diffusion imaging.
Abstract Strong gradient systems can improve the signal-to-noise ratio of diffusion MRI measurements and enable a wider range acquisition parameters that are beneficial for microstructural imaging. We present comprehensive dataset 26 healthy participants acquired on MGH-USC 3 T Connectome scanner equipped with 300 mT/m maximum strength custom-built 64-channel head coil. For each participant, one-hour long systematically sampled accessible measurement space, including two times (19 49 ms),...
Abstract Purpose To overcome the major challenges in dMRI acquisition, including low SNR, distortion/blurring, and motion vulnerability. Methods A novel Romer-EPTI technique is developed to provide distortion-free with significant SNR gain, high motion-robustness, sharp spatial resolution, simultaneous multi-TE imaging. It introduces a ROtating-view Motion-robust supEr-Resolution (Romer) combined distortion/blurring-free EPTI encoding. Romer enhances by multi-thick-slice acquisition...
ABSTRACT BACKGROUND AND PURPOSE To compare an ultrafast brain magnetic resonance imaging (MRI) protocol to the conventional in motion‐prone inpatient clinical settings. METHODS This retrospective study was HIPAA compliant and approved by Institutional Review Board with waived inform consent. Fifty‐nine inpatients (30 males, 29 females; mean age 55.1, range 23–93 years)who underwent 3‐Tesla MRI using protocols, both including five sequences, were included study. The total scan time for...
Background Rapid volumetric imaging protocols could better utilize limited scanner resources. Purpose To develop and validate an optimized 6‐minute high‐resolution brain MRI examination using Wave‐CAIPI encoding. Study Type Prospective. Population/Subjects Ten healthy subjects 20 patients with a variety of intracranial pathologies. Field Strength/Sequence At 3 T, MPRAGE, T 2 ‐weighted SPACE, SPACE FLAIR, SWI were acquired at 9‐fold acceleration for comparison 2–4‐fold conventional GRAPPA....