A comprehensive diffusion MRI dataset acquired on the MGH Connectome scanner in a biomimetic brain phantom.

Data Brief

Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 149 Thirteenth Street, Suite 2301, Charlestown, MA, United States.

Published: June 2018

We provide a comprehensive diffusion MRI dataset acquired with a novel biomimetic phantom mimicking human white matter. The fiber substrates in the diffusion phantom were constructed from hollow textile axons ("taxons") with an inner diameter of 11.8±1.2 µm and outer diameter of 33.5±2.3 µm. Data were acquired on the 3 T CONNECTOM MRI scanner with multiple diffusion times and multiple q-values per diffusion time, which is a dedicated acquisition for validation of microstructural imaging methods, such as compartment size and volume fraction mapping. Minimal preprocessing was performed to correct for susceptibility and eddy current distortions. Data were deposited in the XNAT Central database (project ID: dMRI_Phant_MGH).

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5996223PMC
http://dx.doi.org/10.1016/j.dib.2018.03.021DOI Listing

Publication Analysis

Top Keywords

comprehensive diffusion
8
diffusion mri
8
mri dataset
8
dataset acquired
8
acquired mgh
4
mgh connectome
4
connectome scanner
4
scanner biomimetic
4
biomimetic brain
4
brain phantom
4

Similar Publications

Skin homeostasis is strongly dependent on its hydration levels, making skin water content measurement vital across various fields, including medicine, cosmetology, and sports science. Noninvasive diagnostic techniques are particularly relevant for clinical applications due to their minimal risk of side effects. A range of optical methods have been developed for this purpose, each with unique physical principles, advantages, and limitations.

View Article and Find Full Text PDF

Unleashing the Potential of Pre-Trained Diffusion Models for Generalizable Person Re-Identification.

Sensors (Basel)

January 2025

College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China.

Domain-generalizable re-identification (DG Re-ID) aims to train a model on one or more source domains and evaluate its performance on unseen target domains, a task that has attracted growing attention due to its practical relevance. While numerous methods have been proposed, most rely on discriminative or contrastive learning frameworks to learn generalizable feature representations. However, these approaches often fail to mitigate shortcut learning, leading to suboptimal performance.

View Article and Find Full Text PDF

The evolution of regional anesthesia techniques has markedly influenced the management of postoperative pain, particularly in thoracic surgery. As part of a multimodal analgesic approach, fascial plane blocks have gained prominence due to their efficacy in providing targeted analgesia with minimal systemic side effects. Among these, the superficial intercostal plane (SPIP) block and deep parasternal intercostal plane (DPIP) block are of notable interest.

View Article and Find Full Text PDF

Congenital syphilis remains a significant global health concern, with severe morbidity and mortality if undiagnosed and untreated. Although many infants appear asymptomatic at birth, subtle clinical signs-including bullous lesions (congenital bullous syphilis, also known as pemphigus syphiliticus)-may facilitate early detection. Recognizing this rare manifestation is crucial for timely intervention, reducing serious outcomes.

View Article and Find Full Text PDF

Sepsis is a serious worldwide health concern, and () is the main cause. This study investigates the co-expression of and , and genes in isolated from septicemic patients, aiming to clarify the interaction between virulence and resistance. This study evaluated 100 isolates from septicemic patients.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!