Overview of quantitative susceptibility mapping using deep learning: Current status, challenges and opportunities
Quantitative susceptibility mapping (QSM) has gained broad interest in the field by extracting
bulk tissue magnetic susceptibility, predominantly determined by myelin, iron and calcium …
bulk tissue magnetic susceptibility, predominantly determined by myelin, iron and calcium …
A mind-brain-body dataset of MRI, EEG, cognition, emotion, and peripheral physiology in young and old adults
A Babayan, M Erbey, D Kumral, JD Reinelt, AMF Reiter… - Scientific data, 2019 - nature.com
We present a publicly available dataset of 227 healthy participants comprising a young (N=
153, 25.1±3.1 years, range 20–35 years, 45 female) and an elderly group (N= 74, 67.6±4.7 …
153, 25.1±3.1 years, range 20–35 years, 45 female) and an elderly group (N= 74, 67.6±4.7 …
Higher-order total variation approaches and generalisations
Over the last decades, the total variation (TV) has evolved to be one of the most broadly-
used regularisation functionals for inverse problems, in particular for imaging applications …
used regularisation functionals for inverse problems, in particular for imaging applications …
Quantitative susceptibility mapping using deep neural network: QSMnet
Deep neural networks have demonstrated promising potential for the field of medical image
reconstruction, successfully generating high quality images for CT, PET and MRI. In this …
reconstruction, successfully generating high quality images for CT, PET and MRI. In this …
Quantitative susceptibility mapping: report from the 2016 reconstruction challenge
Purpose The aim of the 2016 quantitative susceptibility mapping (QSM) reconstruction
challenge was to test the ability of various QSM algorithms to recover the underlying …
challenge was to test the ability of various QSM algorithms to recover the underlying …
DeepQSM-using deep learning to solve the dipole inversion for quantitative susceptibility mapping
S Bollmann, KGB Rasmussen, M Kristensen… - Neuroimage, 2019 - Elsevier
Quantitative susceptibility mapping (QSM) is based on magnetic resonance imaging (MRI)
phase measurements and has gained broad interest because it yields relevant information …
phase measurements and has gained broad interest because it yields relevant information …
[HTML][HTML] SEPIA—Susceptibility mapping pipeline tool for phase images
KS Chan, JP Marques - Neuroimage, 2021 - Elsevier
Quantitative susceptibility mapping (QSM) is a physics-driven computational technique that
has a high sensitivity in quantifying iron deposition based on MRI phase images …
has a high sensitivity in quantifying iron deposition based on MRI phase images …
[HTML][HTML] A robust multi-scale approach to quantitative susceptibility mapping
Abstract Quantitative Susceptibility Mapping (QSM), best known as a surrogate for tissue
iron content, is becoming a highly relevant MRI contrast for monitoring cellular and vascular …
iron content, is becoming a highly relevant MRI contrast for monitoring cellular and vascular …
Nonlinear dipole inversion (NDI) enables robust quantitative susceptibility mapping (QSM)
High‐quality Quantitative Susceptibility Mapping (QSM) with Nonlinear Dipole Inversion
(NDI) is developed with pre‐determined regularization while matching the image quality of …
(NDI) is developed with pre‐determined regularization while matching the image quality of …
Learning-based single-step quantitative susceptibility mapping reconstruction without brain extraction
Quantitative susceptibility mapping (QSM) estimates the underlying tissue magnetic
susceptibility from MRI gradient-echo phase signal and typically requires several processing …
susceptibility from MRI gradient-echo phase signal and typically requires several processing …