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

M. Molina-Romero, PA. Gómez, JI. Sperl, AJ. Stewart, DK. Jones, MI. Menzel, B. Menze
Theory, validation and application of blind source separation to diffusion MRI for tissue characterisation and partial volume correction
Proceedings of the International Society of Magnetic Resonance in Medicine (ISMRM), Hawaii, USA, April 2017 (bib)

Here we present blind source separation (BSS) as a new tool to analyse multi-echo diffusion data. This technique is designed to separate mixed signals and is widely used in audio and image processing. Interestingly, when it is applied to diffusion MRI, we obtain the diffusion signal from each water compartment, what makes BSS optimal for partial volume effects correction. Besides, tissue characteristic parameters are also estimated. Here, we first state the theoretical framework; second, we optimise the acquisition protocol; third, we validate the method with a two compartments phantom; and finally, show an in-vivo application of partial volume correction.
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