2019
DOI: 10.1016/j.neuroimage.2019.05.078
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Optimization of q-space sampling for mean apparent propagator MRI metrics using a genetic algorithm

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Cited by 11 publications
(11 citation statements)
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“…A recently developed diffusion model, called mean apparent propagator (MAP) MRI, can overcome this limitation. The MAP MRI model does not make any prior assumptions about the behavior of the water diffusion in the tissues (Hosseinbor et al, 2013;Olson et al, 2019). This method models broader q-space signals utilizing Hermite polynomials (Özarslan et al, 2013).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…A recently developed diffusion model, called mean apparent propagator (MAP) MRI, can overcome this limitation. The MAP MRI model does not make any prior assumptions about the behavior of the water diffusion in the tissues (Hosseinbor et al, 2013;Olson et al, 2019). This method models broader q-space signals utilizing Hermite polynomials (Özarslan et al, 2013).…”
Section: Introductionmentioning
confidence: 99%
“…This method models broader q-space signals utilizing Hermite polynomials (Özarslan et al, 2013). As a result, more subtle changes in complex microstructures could be investigated by the MAP MRI metrics than the DTI (Özarslan et al, 2013;Olson et al, 2019). For MAP MRI, the mean square displacement (MSD) can be derived from the diffusion propagator models to measure the average amount of diffusion, and zero displacement probabilities, including the return to the origin probability (RTOP), the return to the axis probability (RTAP) and the return to the plane probability (RTPP), can be derived to quantify various features of the three-dimensional diffusion process (Hosseinbor et al, 2013;Özarslan et al, 2013;Ning et al, 2015;Fick et al, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…MAP-MRI may have great potential in evaluating brain glioma-induced structural damage to the CST; however, an intensive acquisition of MAP-MRI impedes its extensive clinical application (21). In several cases, an accurate estimation of these features takes a long acquisition time due to the large b-values and directions.…”
Section: Discussionmentioning
confidence: 99%
“…Mean apparent propagator (MAP)-MRI, a newly developed diffusion model, has the potential to circumvent this limitation. The MAP-MRI model makes no prior presuppositions regarding the behavior of water diffusion in tissues ( Hosseinbor et al, 2013 ; Olson et al, 2019 ). Instead, it is based on q-space sampling ( Özarslan et al, 2013 ) and measures the probability density function of spin displacements in complex microstructures of brain tissue to examine the dispersion distribution of water molecules ( Avram et al, 2016 ).…”
Section: Introductionmentioning
confidence: 99%