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Abstract #0873

Optimal b-value sampling for interstitial fluid estimation in cerebral IVIM imaging, a genetic algorithm approach

Gerhard S Drenthen1,2, Jacobus FA Jansen1,2, Merel M van der Thiel1,2, Paulien HM Voorter1,2, and Walter H Backes1,2
1School for Mental Health & Neuroscience, Maastricht University, Maastricht, Netherlands, 2Department of Radiology & Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands


Besides the parenchymal diffusion and microvascular pseudo-diffusion, a third diffusion component was previously found in cerebral intravoxel incoherent motion (IVIM), representing interstitial fluid. However, estimating this intermediate IVIM component can be challenging, since spectral decomposition techniques have strong dependence on the number of samples (i.e. acquired b-values) and SNR. Therefore, it is important to know which b-values are essential to be acquired. In this study, an optimal b-value sampling for estimating the intermediate component is derived using a genetic algorithm. The optimal sampling (0,20,100,270,280,370,540,650,660,710,720,790,980,990,1000 s/mm2) was shown to outperform linear and logarithmic samplings, for both simulated and in vivo data.

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