Bulletin of the American Physical Society
APS March Meeting 2019
Volume 64, Number 2
Monday–Friday, March 4–8, 2019; Boston, Massachusetts
Session F36: In-vivo Magnetic Measurements for Medical Diagnosis, Therapy and Discovery
11:15 AM–2:15 PM,
Tuesday, March 5, 2019
BCEC
Room: 205C
Sponsoring
Units:
GMAG GMED
Chair: Stephen Russek, National Institute of Standards and Technology Boulder
Abstract: F36.00002 : MRI Magnetic Susceptibility Mapping In Vivo*
11:51 AM–12:27 PM
Presenter:
Karin Shmueli
(Medical Physics & Biomedical Engineering, University College London)
Author:
Karin Shmueli
(Medical Physics & Biomedical Engineering, University College London)
Weak tissue susceptibilities (Schenck, Med Phys 1996) cause small magnetic field perturbations seen in phase of the complex MRI signal. In QSM we calculate susceptibility maps from MRI phase images. MRI phase is a 0 to 2π angle in the complex plane and must be unwrapped. The unwrapped images are dominated by large-scale background phase variations caused by the relatively large air-tissue susceptibility difference. Once the background field variations are removed the result is the input for susceptibility calculation. This is an ill-posed inverse problem for which many regularisation methods have been proposed. There is a plethora of algorithms available for each stage in the QSM pipeline and the MRI QSM community is working to achieve consensus on the best methods.
QSM has important advantages over phase images and a widespread precursor known as susceptibility weighted imaging (SWI): it overcomes the non-local and orientation-dependent phase contrast (Shmueli, MRM 2009) to improve visualisation of tissue structure and composition.
Clinical applications are emerging based on QSM’s sensitivity to tissue calcifications, iron, myelin and deoxyhaemoglobin content. QSM highlights iron-rich brain structures in Parkinson’s disease, microbleeds and haemorrhages and distinguishes these from calcifications. QSM allows quantification of venous oxygenation with functional QSM now able to detect brain activity.
*European Research Council Consolidator Grant
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