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ID:
461664.0,
MPI für biologische Kybernetik / Biologische Kybernetik |
Towards quantitative PET/MRI: a review of MR-based attenuation correction techniques |
Authors: | Hofmann, M.; Pichler, B.; Schölkopf, B.; Beyer, T. | Date of Publication (YYYY-MM-DD): | 2009-03 | Title of Journal: | European Journal of Nuclear Medicine and Molecular Imaging | Volume: | 36 | Issue / Number: | Supplement 1 | Start Page: | 93 | End Page: | 104 | Audience: | Not Specified | Intended Educational Use: | No | Abstract / Description: | Introduction Positron emission tomography (PET) is a fully quantitative technology for imaging metabolic pathways and dynamic processes in vivo. Attenuation correction of raw PET data is a prerequisite for quantification and is typically based on separate transmission measurements. In PET/CT attenuation correction, however, is performed routinely based on the available CT transmission data. Objective Recently, combined PET/magnetic resonance (MR) has been proposed as a viable alternative to PET/CT. Current concepts of PET/MRI do not include CT-like transmission sources and, therefore, alternative methods of PET attenuation correction must be found. This article reviews existing approaches to MR-based attenuation correction (MR-AC). Most groups have proposed MR-AC algorithms for brain PET studies and more recently also for torso PET/MR imaging. Most MR-AC strategies require the use of complementary MR and transmission images, or morphology templates generated from transmission images. We review and discuss these algorithms and point out challenges for using MR-AC in clinical routine. Discussion MR-AC is work-in-progress with potentially promising results from a template-based approach applicable to both brain and torso imaging. While efforts are ongoing in making clinically viable MR-AC fully automatic, further studies are required to realize the potential benefits of MR-based motion compensation and partial volume correction of the PET data. | External Publication Status: | published | Document Type: | Article |
Communicated by: | Holger Fischer | Affiliations: | MPI für biologische Kybernetik/Empirical Inference (Dept. Schölkopf)
| Identifiers: | LOCALID:5674 URL:http://www.springerlink.com/content/dp277216545105... | |
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