Compressed sensing for longitudinal MRI: An adaptive-weighted approach

Medical Physics
Lior WeizmanDafna Ben Bashat

Abstract

Repeated brain MRI scans are performed in many clinical scenarios, such as follow up of patients with tumors and therapy response assessment. In this paper, the authors show an approach to utilize former scans of the patient for the acceleration of repeated MRI scans. The proposed approach utilizes the possible similarity of the repeated scans in longitudinal MRI studies. Since similarity is not guaranteed, sampling and reconstruction are adjusted during acquisition to match the actual similarity between the scans. The baseline MR scan is utilized both in the sampling stage, via adaptive sampling, and in the reconstruction stage, with weighted reconstruction. In adaptive sampling, k-space sampling locations are optimized during acquisition. Weighted reconstruction uses the locations of the nonzero coefficients in the sparse domains as a prior in the recovery process. The approach was tested on 2D and 3D MRI scans of patients with brain tumors. The longitudinal adaptive compressed sensing MRI (LACS-MRI) scheme provides reconstruction quality which outperforms other CS-based approaches for rapid MRI. Examples are shown on patients with brain tumors and demonstrate improved spatial resolution. Compared with data sampled at the Nyq...Continue Reading

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Citations

Oct 27, 2016·Medical Physics·Lior WeizmanDafna Ben Bashat
Jun 6, 2018·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Huynh Van LuongAndre Kaup
Jul 5, 2018·Medical Physics·Gal MazorYonina C Eldar
Oct 17, 2018·Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine·Abolfazl MehranianAndrew J Reader
Jul 23, 2019·Medical Physics·Pingfan SongMiguel R D Rodrigues
Oct 20, 2017·Applied Optics·Laura GalvisGonzalo R Arce
Dec 15, 2018·Medical Physics·Jiansen LiJun Zhao
Apr 24, 2020·Visual Computing for Industry, Biomedicine and Art·Gengsheng L Zeng, Edward V DiBella
Sep 26, 2017·Medical Physics·Lior WeizmanMark Chiew
Feb 28, 2017··Laura GalvisGonzalo R. Arce

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