Rouzbeh Amini

Dr. Rouzbeh Amini


Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2014 in Journal of Biomechanics
Verified
Journal Article
Closed access
Chung-Hao LeeChung-Hao Lee
Chung-Hao Lee
RARouzbeh Amini
Rouzbeh Amini
RGRobert C. Gorman
Robert C. Gorman
JGJoseph H. Gorman
Joseph H. Gorman
MSMichael S. Sacks
Michael S. Sacks

11 February 2012 in Annals of Biomedical Engineering
Verified
Journal Article
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PDF file
RARouzbeh Amini
Rouzbeh Amini
CEChad E. Eckert
Chad E. Eckert
KKKevin Koomalsingh
Kevin Koomalsingh
JMJeremy McGarvey
Jeremy McGarvey
MMMasahito Minakawa
Masahito Minakawa
MSMichael Sacks
Michael Sacks

24 August 2016 in Journal of Biomechanical Engineering
Verified
Journal Article
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KKKeyvan Amini Khoiy
Keyvan Amini Khoiy
RARouzbeh Amini
Rouzbeh Amini
Located on the right side of the heart, the tricuspid valve (TV) prevents blood backflow from the right ventricle to the right atrium. Similar to other cardiac valves, quantification of TV biaxial mechanical properties is essential in developing accurate computational models. In the current study, for the first time, the biaxial stress–strain behavior of porcine TV was measured ex vivo under different loading protocols using biaxial tensile testing equipment. The results showed a highly nonlinear response including a compliant region followed by a rapid transition to a stiff region for all of the TV leaflets both in the circumferential and in the radial directions. Based on the data analysis, all three leaflets were found to be anisotropic, and they were stiffer in the circumferential direction in comparison to the radial direction. It was also concluded that the posterior leaflet was the most anisotropic leaflet.

8 August 2014 in Annals of Biomedical Engineering
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Journal Article
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CPCaitlin M. Pierlot
Caitlin M. Pierlot
JLJ. Michael Lee
J. Michael Lee
RARouzbeh Amini
Rouzbeh Amini
MSMichael S. Sacks
Michael S. Sacks
SWSarah Wells
Sarah Wells

14 March 2015 in Journal of Biomedical Materials Research Part A
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Journal Article
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CHChristopher M. Hobson
Christopher M. Hobson
NANicholas James Amoroso
Nicholas James Amoroso
RARouzbeh Amini
Rouzbeh Amini
EUEthan Ungchusri
Ethan Ungchusri
YHYi Hong
Yi Hong
WWWilliam R. Wagner
William R. Wagner

15 June 2018 in Journal of Biomechanical Engineering
Verified
Journal Article
Closed access
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SPSoroush Heidari Pahlavian
Soroush Heidari Pahlavian
JOJohn Oshinski
John Oshinski
XZXiaodong Zhong
Xiaodong Zhong
FLFrancis Loth
Francis Loth
RARouzbeh Amini
Rouzbeh Amini
Intrinsic cardiac-induced deformation of brain tissue is thought to be important in the pathophysiology of various neurological disorders. In this study, we evaluated the feasibility of utilizing displacement encoding with stimulated echoes (DENSE) magnetic resonance imaging (MRI) to quantify two-dimensional (2D) neural tissue strain using cardiac-driven brain pulsations. We examined eight adult healthy volunteers with an electrocardiogram-gated spiral DENSE sequence performed at the midsagittal plane on a 3 Tesla MRI scanner. Displacement, pixel-wise trajectories, and principal strains were determined in seven regions of interest (ROI): the brain stem, cerebellum, corpus callosum, and four cerebral lobes. Quantification of small neural tissue motion and strain along with their spatial and temporal variations in different brain regions was found to be feasible using DENSE. The medial and inferior brain structures (brain stem, cerebellum, and corpus callosum) had significantly larger motion and strain compared to structures located more peripherally. The brain stem had the largest peak mean displacement (PMD) (187 ± 50 μm, mean ± SD). The largest mean principal strains in compression and extension were observed in the brain stem (0.38 ± 0.08%) and the corpus callosum (0.37 ± 0.08%), respectively. Measured values in percent strain were altered by as much as 0.1 between repeated scans. This study showed that DENSE can quantify regional variations in brain tissue motion and strain and has the potential to be utilized as a tool to evaluate the changes in brain tissue dynamics resulting from alterations in biomechanical stresses and tissue properties.