2010
DOI: 10.1002/mrm.22478
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Bayesian estimation of changes in transverse relaxation rates

Abstract: Although the biasing of R* 2 estimates by assuming magnitude MR data to be normally distributed has been described, the effect on changes in R* 2 (DR* 2 ), such as induced by a paramagnetic contrast agent, has not been reported. In this study, two versions of a novel Bayesian maximum a posteriori approach for estimating DR* 2 are described and evaluated: one that assumes normally distributed data and the other, Rice-distributed data. The approach enables the robust, voxelwise determination of the uncertainty i… Show more

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Cited by 28 publications
(37 citation statements)
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References 33 publications
(45 reference statements)
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“…The accuracy of measured T2* values can also depend on the choice of echo times and type of data processing. In general, the signal‐to‐noise ratio (SNR) in the VOI should be adequate for images acquired using all echo times 27. Tissues characterized by short transverse relaxation times suffer from low SNR in the longer echo time images, which may lead to a subsequent overestimation of T2*.…”
Section: Discussionmentioning
confidence: 99%
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“…The accuracy of measured T2* values can also depend on the choice of echo times and type of data processing. In general, the signal‐to‐noise ratio (SNR) in the VOI should be adequate for images acquired using all echo times 27. Tissues characterized by short transverse relaxation times suffer from low SNR in the longer echo time images, which may lead to a subsequent overestimation of T2*.…”
Section: Discussionmentioning
confidence: 99%
“…These effects are not likely to significantly affect the relatively long mean T2* values measured at 3T in HNSCC nodal and primary tumor sites (23.6 and 18.7 msec, respectively). The noise bias should not be neglected when calculating relaxation times of tissues with short T2*, or in the case of subregional voxel‐based analysis, in which case Bayesian or data truncation methods might be required 27. The number of echoes used herein was a result of using in‐phase fat and water signal with echoes acquired with the same gradient polarity, together with SNR threshold.…”
Section: Discussionmentioning
confidence: 99%
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“…MGE data were analyzed using a Bayesian maximum a posteriori approach (19). This modeled the MGE signal magnitude as a single exponential decay and took into account its Rician distribution.…”
Section: Mri Data Analysismentioning
confidence: 99%
“…It was hypothesized that negative DR 2 * carbogen and positive DR 2 * USPIO would show strong spatial colocalisation and be the primary tumor response to the CUSPIO protocol. This novel imaging protocol has been coupled with a Bayesian analysis method providing a robust statistical framework with which to determine whether on a pixelby-pixel basis DR 2 * significantly changed following both carbogen and USPIO challenges (19).…”
mentioning
confidence: 99%