Yankam Njiwa, J; Ratering, D; Baltes, C; Rudin, M (2010). Increasing temporal resolution of DSC perfusion MRI using the analytic image concept. Magma, 23(4):251-261.
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Abstract
OBJECT: Dynamic susceptibility contrast MRI (DSC-MRI) is increasingly being used to evaluate cerebral microcirculation. In this study, the use of the analytic image reconstruction (AIR), with the aim to increase the temporal resolution, is evaluated for DSC-MRI in small animals.
MATERIALS AND METHODS: Imaging was performed using a T (2)*- weighted sequence to acquire male Lewis rats raw data. Results show that AIR satisfactory reconstructs DSC-MRI while preserving a good reconstruction quality and the image characteristics compared to the full k-space and keyhole reconstructed images. The combination of the choice of the baseline image and the proposed asymmetric acquisition schema enables an increase in temporal resolution, by a factor of four, thus having more sample points for better estimating perfusion parameters.
RESULTS: Computer simulations result in a mean cerebral blood volume of 1.22 that deviates from the full k-space value by -3% and a mean cerebral blood flow of 1.97 deviating from the full k-space value by -3% when the mean transit time did not change. Even if these deviations increase when achieving real acquisitions, AIR still better computes quantitative values than keyhole.
CONCLUSION: AIR allows a good reconstruction of the dynamic stage of the image series thus leading to better dynamic effects analysis.
| Item Type: | Journal Article, refereed, original work |
|---|---|
| Communities & Collections: | 04 Faculty of Medicine > Institute of Pharmacology and Toxicology 04 Faculty of Medicine > Institute of Biomedical Engineering |
| DDC: | 570 Life sciences; biology 170 Ethics 610 Medicine & health |
| Language: | English |
| Date: | 2010 |
| Deposited On: | 25 Jan 2011 14:45 |
| Last Modified: | 23 Nov 2012 14:31 |
| Publisher: | Springer |
| ISSN: | 0968-5243 |
| Publisher DOI: | 10.1007/s10334-010-0224-9 |
| PubMed ID: | 20694502 |
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