Optimized quantitative magnetic resonance spectroscopy for clinical routine

Scheidegger, Olivier; Wingeier, Kevin; Stefan, Dan; Graveron-Demilly, Danielle; van Ormondt, Dirk; Wiest, Roland; Slotboom, Johannes (2013). Optimized quantitative magnetic resonance spectroscopy for clinical routine. Magnetic resonance in medicine, 70(1), pp. 25-32. New York, N.Y.: Wiley-Liss 10.1002/mrm.24455

Full text not available from this repository.

Several practical obstacles in data handling and evaluation complicate the use of quantitative localized magnetic resonance spectroscopy (qMRS) in clinical routine MR examinations. To overcome these obstacles, a clinically feasible MR pulse sequence protocol based on standard available MR pulse sequences for qMRS has been implemented along with newly added functionalities to the free software package jMRUI-v5.0 to make qMRS attractive for clinical routine. This enables (a) easy and fast DICOM data transfer from the MR console and the qMRS-computer, (b) visualization of combined MR spectroscopy and imaging, (c) creation and network transfer of spectroscopy reports in DICOM format, (d) integration of advanced water reference models for absolute quantification, and (e) setup of databases containing normal metabolite concentrations of healthy subjects. To demonstrate the work-flow of qMRS using these implementations, databases for normal metabolite concentration in different regions of brain tissue were created using spectroscopic data acquired in 55 normal subjects (age range 6-61 years) using 1.5T and 3T MR systems, and illustrated in one clinical case of typical brain tumor (primitive neuroectodermal tumor). The MR pulse sequence protocol and newly implemented software functionalities facilitate the incorporation of qMRS and reference to normal value metabolite concentration data in daily clinical routine. Magn Reson Med, 2013. © 2012 Wiley Periodicals, Inc.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Pre-clinic Human Medicine > BioMedical Research (DBMR) > DCR Unit Sahli Building > Forschungsgruppe Neurologie
04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic and Interventional Neuroradiology
04 Faculty of Medicine > Department of Head Organs and Neurology (DKNS) > Clinic of Neurology
04 Faculty of Medicine > Department of Gynaecology, Paediatrics and Endocrinology (DFKE) > Clinic of Paediatric Medicine

UniBE Contributor:

Scheidegger, Olivier, Wingeier, Kevin, Wiest, Roland Gerhard Rudi, Slotboom, Johannes

Subjects:

600 Technology > 610 Medicine & health

ISSN:

0740-3194

Publisher:

Wiley-Liss

Language:

English

Submitter:

Anette van Dorland

Date Deposited:

04 Oct 2013 14:30

Last Modified:

02 Mar 2023 23:21

Publisher DOI:

10.1002/mrm.24455

PubMed ID:

22907544

Web of Science ID:

000320785900005

URI:

https://boris.unibe.ch/id/eprint/11581 (FactScience: 217783)

Actions (login required)

Edit item Edit item
Provide Feedback