Results 21 to 30 of about 2,739 (132)

Comparison of quantitative susceptibility mapping methods for iron-sensitive susceptibility imaging at 7T: An evaluation in healthy subjects and patients with Huntington's disease

NeuroImage, 2023
Quantitative susceptibility mapping (QSM) is a promising tool for investigating iron dysregulation in neurodegenerative diseases, including Huntington's disease (HD). Many diverse methods have been proposed to generate accurate and robust QSM images.
Jingwen Yao, Melanie A. Morrison, Angela Jakary, Sivakami Avadiappan, Yicheng Chen, Johanna Luitjens, Julia Glueck, Theresa Driscoll, Michael D. Geschwind, Alexandra B. Nelson, Javier E. Villanueva-Meyer, Christopher P. Hess, Janine M. Lupo   +12 more
doaj   +1 more source

Quantitative Susceptibility Mapping: Translating an Investigative Research Tool into High Volume Clinical Diagnostic Imaging

Diagnostics, 2022
Quantitative susceptibility mapping (QSM) is an MRI-based technique for iron quantification of targeted tissue. QSM provides information relevant to clinicians in a broad range of diagnostic contexts, including sickle cell disease, inflammatory ...
Matthew T. Borzage, Eamon K. Doyle, Chia-Shang J. Liu, Marvin D. Nelson, Stefan Blüml, John C. Wood, Benita Tamrazi   +6 more
doaj   +1 more source

Quantitative Susceptibility Mapping-Based Microscopy of Magnetic Resonance Venography (QSM-mMRV) for In Vivo Morphologically and Functionally Assessing Cerebromicrovasculature in Rat Stroke Model.

PLoS ONE, 2016
Abnormal cerebral oxygenation and vessel structure is a crucial feature of stroke. An imaging method with structural and functional information is necessary for diagnosis of stroke.
Meng-Chi Hsieh, Ching-Yi Tsai, Min-Chiao Liao, Jenq-Lin Yang, Chia-Hao Su, Jyh-Horng Chen   +5 more
doaj   +1 more source

Evaluation of iron deposition in brain basal ganglia of patients with Parkinson's disease using quantitative susceptibility mapping

European Journal of Radiology Open, 2019
Aim of the study: Parkinson's disease is associated with iron deposition in the brain. The QSM (quantitative susceptibility mapping) is more sensitive than T2-weighted imaging, T2* and R2.
Vahid Shahmaei, Fariborz Faeghi, Ahmad Mohammadbeigi, Hasan Hashemi, Farzad Ashrafi   +4 more
doaj   +1 more source

Exploring linearity of deep neural network trained QSM: QSMnet+

NeuroImage, 2020
Recently, deep neural network-powered quantitative susceptibility mapping (QSM), QSMnet, successfully performed ill-conditioned dipole inversion in QSM and generated high-quality susceptibility maps.
Woojin Jung, Jaeyeon Yoon, Sooyeon Ji, Joon Yul Choi, Jae Myung Kim, Yoonho Nam, Eung Yeop Kim, Jongho Lee   +7 more
doaj   +1 more source

Accelerating quantitative susceptibility and R2* mapping using incoherent undersampling and deep neural network reconstruction

NeuroImage, 2021
Quantitative susceptibility mapping (QSM) and R2* mapping are MRI post-processing methods that quantify tissue magnetic susceptibility and transverse relaxation rate distributions. However, QSM and R2* acquisitions are relatively slow, even with parallel
Yang Gao, Martijn Cloos, Feng Liu, Stuart Crozier, G. Bruce Pike, Hongfu Sun   +5 more
doaj   +1 more source

Affine transformation edited and refined deep neural network for quantitative susceptibility mapping

NeuroImage, 2023
Deep neural networks have demonstrated great potential in solving dipole inversion for Quantitative Susceptibility Mapping (QSM). However, the performances of most existing deep learning methods drastically degrade with mismatched sequence parameters ...
Zhuang Xiong, Yang Gao, Feng Liu, Hongfu Sun   +3 more
doaj   +1 more source

Epileptogenic lesions in the Australian epilepsy project: A harmonized 3‐T magnetic resonance imaging protocol and its diagnostic yield

Epilepsia, EarlyView.
Abstract Objective Detection of epilepsy‐causing structural brain lesions on magnetic resonance imaging (MRI) is critical for diagnosis, prognosis, and treatment planning in people with epilepsy. We aimed to establish an epilepsy‐directed multisite harmonized 3‐T MRI acquisition protocol for the Australian Epilepsy Project (AEP) and describe the ...
David N. Vaughan, David F. Abbott, Amanda Anderson, Greg Fitt, Suyi Ooi, Heath Pardoe, Donna Parker, Yuliya Perchyonok, Eric Pierre, Chris Kokkinos, Robert E. Smith, Michael Stewart, Bahman Tahayori, Chris Tailby, Graeme D. Jackson, the Australian Epilepsy Project Investigators, Zanfina Ademi, Patrick Kwan, Karen Oliver, Mangor Pedersen   +19 more
wiley   +1 more source

Quantitative Susceptibility Mapping in Parkinson's Disease.

PLoS ONE, 2016
BackgroundQuantitative susceptibility mapping (QSM) and R2* relaxation rate mapping have demonstrated increased iron deposition in the substantia nigra of patients with idiopathic Parkinson's disease (PD).
Christian Langkammer, Lukas Pirpamer, Stephan Seiler, Andreas Deistung, Ferdinand Schweser, Sebastian Franthal, Nina Homayoon, Petra Katschnig-Winter, Mariella Koegl-Wallner, Tamara Pendl, Eva Maria Stoegerer, Karoline Wenzel, Franz Fazekas, Stefan Ropele, Jürgen Rainer Reichenbach, Reinhold Schmidt, Petra Schwingenschuh   +16 more
doaj   +1 more source

Association Between Deep Gray Matter Iron Deposition Dysregulation and Cognitive Performance in Type 2 Diabetes Mellitus Patients: A Quantitative Susceptibility Mapping Study

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Type 2 diabetes (T2DM) heightens cognitive impairment risk, yet the mechanisms remain unclear. Hyperglycemia‐induced iron dysregulation in deep gray matter (DGM) nuclei may be a crucial mechanism. Purpose To investigate DGM iron deposition in T2DM using Quantitative Susceptibility Mapping (QSM) and determine its association with ...
Kun Wang, Jiahe Wang, Ziyu Diao, Xin Tan, Shijun Qiu, Jie An   +5 more
wiley   +1 more source