Vadim Malis1,2, Usha Sinha3, Shantanu Sinha2. 1. Physics, UC San Diego, San Diego, California. 2. Muscle Imaging and Modeling Lab, Department of Radiology, UC San Diego, San Diego, California. 3. Physics, San Diego State University, California.
Abstract
PURPOSE: This study implements a compressed sensing (CS) 3-directional velocity encoded phase contrast (VE-PC) imaging for studying skeletal muscle kinematics within 40 s. METHODS: Independent variable density random sampling in the phase encoding direction for each temporal frame was implemented for various combinations of CS-factors and views per segment. CS reconstruction was performed for the combined multicoil, temporal datasets using temporal Fourier transform followed by temporal principal component analysis sparsifying transformations. The method was tested on a flow phantom and in vivo, on velocity and strain rate of the medial gastrocnemius muscle of 11 subjects performing isometric contractions. RESULTS: For the flow phantom, velocity from 8 undersampled sequences matched very well with the flowmeter values over a range of velocities spanning in vivo muscle velocities. Bland-Altman plots of the peak strain rate eigenvalues comparing 7 undersampled sequences was in good agreement with the reference (full k-space) scan. CS-factor of 4 combined with views per segment of 4 (scan times reduced by 4) yielded images with no visual artifacts allowing and yielded velocities and strain rate maps in the lower leg muscle in 40 s. CONCLUSION: This study shows that a reduction in scan time of velocity encoded phase contrast imaging up to a factor of 4 is possible using the proposed CS reconstruction.
PURPOSE: This study implements a compressed sensing (CS) 3-directional velocity encoded phase contrast (VE-PC) imaging for studying skeletal muscle kinematics within 40 s. METHODS: Independent variable density random sampling in the phase encoding direction for each temporal frame was implemented for various combinations of CS-factors and views per segment. CS reconstruction was performed for the combined multicoil, temporal datasets using temporal Fourier transform followed by temporal principal component analysis sparsifying transformations. The method was tested on a flow phantom and in vivo, on velocity and strain rate of the medial gastrocnemius muscle of 11 subjects performing isometric contractions. RESULTS: For the flow phantom, velocity from 8 undersampled sequences matched very well with the flowmeter values over a range of velocities spanning in vivo muscle velocities. Bland-Altman plots of the peak strain rate eigenvalues comparing 7 undersampled sequences was in good agreement with the reference (full k-space) scan. CS-factor of 4 combined with views per segment of 4 (scan times reduced by 4) yielded images with no visual artifacts allowing and yielded velocities and strain rate maps in the lower leg muscle in 40 s. CONCLUSION: This study shows that a reduction in scan time of velocity encoded phase contrast imaging up to a factor of 4 is possible using the proposed CS reconstruction.
Authors: Mariya Doneva; Peter Börnert; Holger Eggers; Christian Stehning; Julien Sénégas; Alfred Mertins Journal: Magn Reson Med Date: 2010-10 Impact factor: 4.668
Authors: Richard G P Lopata; Johannes P van Dijk; Sigrid Pillen; Maartje M Nillesen; Huub Maas; Johan M Thijssen; Dick F Stegeman; Chris L de Korte Journal: J Appl Physiol (1985) Date: 2010-07-08
Authors: Erin K Englund; Christopher P Elder; Qing Xu; Zhaohua Ding; Bruce M Damon Journal: Am J Physiol Regul Integr Comp Physiol Date: 2011-01-26 Impact factor: 3.619
Authors: Shantanu Sinha; David D Shin; John A Hodgson; Ryuta Kinugasa; V Reggie Edgerton Journal: J Magn Reson Imaging Date: 2012-03-05 Impact factor: 4.813
Authors: Li Feng; Ricardo Otazo; Hong Jung; Jens H Jensen; Jong C Ye; Daniel K Sodickson; Daniel Kim Journal: Magn Reson Med Date: 2011-02-28 Impact factor: 4.668
Authors: Daniel Kim; Hadrien A Dyvorne; Ricardo Otazo; Li Feng; Daniel K Sodickson; Vivian S Lee Journal: Magn Reson Med Date: 2011-11-14 Impact factor: 4.668