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Nonbalanced SSFP-based quantitative magnetization transfer imaging

Gloor, Monika and Scheffler, Klaus and Bieri, Oliver. (2010) Nonbalanced SSFP-based quantitative magnetization transfer imaging. Magnetic resonance in medicine, Vol. 64, H. 1. pp. 149-156.

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Official URL: http://edoc.unibas.ch/dok/A6002850

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Abstract

The previously reported concept for quantitative magnetization transfer (MT) imaging using balanced steady-state free precession (SSFP) is applied to nonbalanced SSFP sequences. This offers the possibility to derive quantitative MT parameters of targets with high-susceptibility variations such as the musculoskeletal system, where balanced SSFP suffers from off-resonance-related signal loss. In the first part of this work, an extended SSFP free induction decay (SSFP-FID) signal equation is derived based on a binary spin-bath model. Based on this new description, quantitative MT parameters such as the fractional pool size, magnetization exchange rate, and relaxation times can be assessed. In the second part of this work, MT model parameters are derived from an ex vivo muscle sample, in vivo human femoral muscle, and in vivo human patellar cartilage. Motion sensitivity issues are discussed and results from two-pool SSFP-FID are compared to results from two-pool balanced SSFP and common quantitative MT models. In summary, this work demonstrates that SSFP-FID allows for quantitative MT imaging of targets with high-susceptibility variations within short acquisition times.
Faculties and Departments:03 Faculty of Medicine > Bereich Querschnittsfächer (Klinik) > Ehemalige Einheiten Querschnittsfächer (Klinik) > Radiologische Physik (Scheffler)
03 Faculty of Medicine > Departement Klinische Forschung > Bereich Querschnittsfächer (Klinik) > Ehemalige Einheiten Querschnittsfächer (Klinik) > Radiologische Physik (Scheffler)
UniBasel Contributors:Scheffler, Klaus
Item Type:Article, refereed
Article Subtype:Research Article
Bibsysno:Link to catalogue
Publisher:Wiley-Liss
ISSN:0740-3194
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:24 May 2013 09:22
Deposited On:24 May 2013 09:11

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