2012
DOI: 10.1007/s10334-012-0353-4
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MRI for attenuation correction in PET: methods and challenges

Abstract: In current combined PET/MR systems, PET attenuation correction is based on MRI, since the small bore inside MRI systems and the strong magnetic field do not permit a rotating PET transmission source or a CT device to be integrated. Unlike CT measurements in PET/CT scanners, the MR signal is not directly correlated to tissue density and thus cannot be converted by a simple transformation of intensity values. Various approaches have been developed based on templates, atlas information, direct segmentation of T1-… Show more

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Cited by 201 publications
(152 citation statements)
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“…The values for each tissue class were chosen by inspecting the corresponding CT images of the training patients. The values are comparable to those reported by other authors (Wagenknecht et al 2013).…”
Section: Discussionsupporting
confidence: 92%
“…The values for each tissue class were chosen by inspecting the corresponding CT images of the training patients. The values are comparable to those reported by other authors (Wagenknecht et al 2013).…”
Section: Discussionsupporting
confidence: 92%
“…This is an active area of study and several methods have been developed for AC based on MR acquired information (37,38). Most commercial systems use a segmentation approach to account for PET attenuation from fat and water tissue using Dixon fat-water separated images and known AC coefficients.…”
Section: Pet Attenuation Correction (Ac)mentioning
confidence: 99%
“…AC of these hardware components is required as their presence leads to considerable attenuation of the PET signal (37). Rigid and stationary MR hardware components, such as the patient table, are corrected for by integrating CT-based attenuation templates of these parts at a fixed position in the μ-map used for AC in PET image reconstruction (38).…”
Section: Pet Attenuation Correction (Ac)mentioning
confidence: 99%
“…This approach works directly in standard T1-dependent MR images routinely for every patient. The most difficult task in using these images is the differentiation between bone tissue and air-filled spaces, as the same intensity range appears in both those tissue types [25].…”
Section: Technological Achievements Of Pet/mr Systemsmentioning
confidence: 99%