Motion Aware MR Imaging via Spatial Core Correspondence

Jud, Christoph and Nguyen, Damien and Sandkühler, Robin and Giger, Alina and Bieri, Oliver and Cattin, Philippe C.. (2018) Motion Aware MR Imaging via Spatial Core Correspondence. In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2018. Cham, pp. 198-205.

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Official URL: https://edoc.unibas.ch/71153/

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Motion awareness in MR imaging is essential when it comes to long acquisition times. For volumetric high-resolution or temporal resolved images, sporadic subject movements or respiration induced organ motion has to be considered in order to reduce motion artifacts. We present a novel MR imaging sequence and an associated retrospective reconstruction method incorporating motion via spatial correspondence of the k-space center. The sequence alternatingly samples k-space patches located in the center and in peripheral higher frequency regions. Each patch is transformed into the spatial domain in order to normalize for spatial transformations rigidly as well as non-rigidly. The k-space is reconstructed from the spatially aligned patches where the alignment is derived using image registration of the center patches. Our proposed method assumes neither periodic motion nor requires any binning of motion states to properly compensate for movements during acquisition. As we directly acquire volumes, 2D slice stacking is avoided. We tested our method for brain imaging with sporadic head motion and for chest imaging where a volunteer has been scanned under free breathing. In both cases, we demonstrate high-quality 3D reconstructions.
Faculties and Departments:03 Faculty of Medicine > Departement Biomedical Engineering > Imaging and Computational Modelling > Center for medical Image Analysis & Navigation (Cattin)
UniBasel Contributors:Jud, Christoph
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
Series Name:Lecture Notes in Computer Science
Issue Number:11070
Note:Publication type according to Uni Basel Research Database: Conference paper
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Last Modified:11 Mar 2020 13:00
Deposited On:11 Mar 2020 13:00

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