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Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

C. Ulas, S. Kaczmarz, C. Preibisch, JI. Sperl, MI. Menzel, A. Haase, B. Menze
A Spatio-temporal Denoising Approach based on Total Variation Regularization for Arterial Spin Labeling
Proceedings of the International Society of Magnetic Resonance in Medicine (ISMRM), Hawaii, USA, April 2017 (bib)

We present a new spatio-temporal denoising method for arterial spin labeling (ASL) MR image repetitions, and mainly aim to improve the quality of perfusion-weighted images and cerebral blood flow (CBF) maps obtained from a subset of all dynamics available. Our technique is based on a two-step 3D total variation regularization, which is applied to subsets of control/label pairs in the first step and to resulting perfusion-weighted (difference) images in the second step. We demonstrate that our method leads to improved quality of perfusion-weighted images and CBF maps compared to existing spatial filtering techniques in short computation time.
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