Blaise Simplice Talla Nwotchouang1, Maggie S Eppelheimer1, Dipankar Biswas2, Soroush Heidari Pahlavian3, Xiaodong Zhong4, John N Oshinski5, Daniel L Barrow6, Rouzbeh Amini7, Francis Loth1,8. 1. Conquer Chiari Research Center, Department of Biomedical Engineering, The University of Akron, Akron, Ohio, USA. 2. Fluids and Structure (FaST) Laboratory, Department of Mechanical and Aerospace Engineering, University of Central Florida, Orlando, Florida, USA. 3. Laboratory of FMRI Technology (LOFT), USC Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, California, USA. 4. Siemens Healthcare, Los Angeles, California, USA. 5. Radiology & Imaging Sciences and Biomedical Engineering, Emory University School of Medicine, Atlanta, Georgia, USA. 6. Department of Neurosurgery, Emory University, Atlanta, Georgia, USA. 7. Department of Mechanical and Industrial Engineering, Department of Bioengineering, Northeastern University, Boston, Massachusetts, USA. 8. Department of Mechanical Engineering, The University of Akron, Akron, Ohio, USA.
Abstract
PURPOSE: The goal of this study was to determine the accuracy of displacement-encoding with stimulated echoes (DENSE) MRI in a tissue motion phantom with displacements representative of those observed in human brain tissue. METHODS: The phantom was comprised of a plastic shaft rotated at a constant speed. The rotational motion was converted to a vertical displacement through a camshaft. The phantom generated repeatable cyclical displacement waveforms with a peak displacement ranging from 92 µm to 1.04 mm at 1-Hz frequency. The surface displacement of the tissue was obtained using a laser Doppler vibrometer (LDV) before and after the DENSE MRI scans to check for repeatability. The accuracy of DENSE MRI displacement was assessed by comparing the laser Doppler vibrometer and DENSE MRI waveforms. RESULTS: Laser Doppler vibrometer measurements of the tissue motion demonstrated excellent cycle-to-cycle repeatability with a maximum root mean square error of 9 µm between the ensemble-averaged displacement waveform and the individual waveforms over 180 cycles. The maximum difference between DENSE MRI and the laser Doppler vibrometer waveforms ranged from 15 to 50 µm. Additionally, the peak-to-peak difference between the 2 waveforms ranged from 1 to 18 µm. CONCLUSION: Using a tissue phantom undergoing cyclical motion, we demonstrated the percent accuracy of DENSE MRI to measure displacement similar to that observed for in vivo cardiac-induced brain tissue.
PURPOSE: The goal of this study was to determine the accuracy of displacement-encoding with stimulated echoes (DENSE) MRI in a tissue motion phantom with displacements representative of those observed in human brain tissue. METHODS: The phantom was comprised of a plastic shaft rotated at a constant speed. The rotational motion was converted to a vertical displacement through a camshaft. The phantom generated repeatable cyclical displacement waveforms with a peak displacement ranging from 92 µm to 1.04 mm at 1-Hz frequency. The surface displacement of the tissue was obtained using a laser Doppler vibrometer (LDV) before and after the DENSE MRI scans to check for repeatability. The accuracy of DENSE MRI displacement was assessed by comparing the laser Doppler vibrometer and DENSE MRI waveforms. RESULTS: Laser Doppler vibrometer measurements of the tissue motion demonstrated excellent cycle-to-cycle repeatability with a maximum root mean square error of 9 µm between the ensemble-averaged displacement waveform and the individual waveforms over 180 cycles. The maximum difference between DENSE MRI and the laser Doppler vibrometer waveforms ranged from 15 to 50 µm. Additionally, the peak-to-peak difference between the 2 waveforms ranged from 1 to 18 µm. CONCLUSION: Using a tissue phantom undergoing cyclical motion, we demonstrated the percent accuracy of DENSE MRI to measure displacement similar to that observed for in vivo cardiac-induced brain tissue.
Authors: Xiaodong Zhong; Bruce S Spottiswoode; Elizabeth A Cowart; Wesley D Gilson; Frederick H Epstein Journal: Magn Reson Med Date: 2006-11 Impact factor: 4.668
Authors: J Pujol; C Roig; A Capdevila; A Pou; J L Martí-Vilalta; J Kulisevsky; A Escartín; G Zannoli Journal: Neurology Date: 1995-09 Impact factor: 9.910
Authors: Ayodeji L Adams; Hugo J Kuijf; Max A Viergever; Peter R Luijten; Jaco J M Zwanenburg Journal: NMR Biomed Date: 2018-12-21 Impact factor: 4.044
Authors: Blaise Simplice Talla Nwotchouang; Maggie S Eppelheimer; Soroush Heidari Pahlavian; Jack W Barrow; Daniel L Barrow; Deqiang Qiu; Philip A Allen; John N Oshinski; Rouzbeh Amini; Francis Loth Journal: Ann Biomed Eng Date: 2021-01-04 Impact factor: 4.219
Authors: Daniel A Auger; Sona Ghadimi; Xiaoying Cai; Claire E Reagan; Changyu Sun; Mohamad Abdi; Jie Jane Cao; Joshua Y Cheng; Nora Ngai; Andrew D Scott; Pedro F Ferreira; John N Oshinski; Nick Emamifar; Daniel B Ennis; Michael Loecher; Zhan-Qiu Liu; Pierre Croisille; Magalie Viallon; Kenneth C Bilchick; Frederick H Epstein Journal: J Cardiovasc Magn Reson Date: 2022-04-04 Impact factor: 6.903
Authors: Maggie S Eppelheimer; Blaise Simplice Talla Nwotchouang; Soroush Heidari Pahlavian; Jack W Barrow; Daniel L Barrow; Rouzbeh Amini; Philip A Allen; Francis Loth; John N Oshinski Journal: Radiology Date: 2021-07-27 Impact factor: 29.146