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Chen, Jun

0000-0002-3837-2761

Mayo Clinic

Mayo Clinic

Citations 3

Radiological Society of North America/Quantitative Imaging Biomarker Alliance Shear Wave Speed Bias Quantification in Elastic and Viscoelastic Phantoms
Palmeri, Mark L. , Milkowski, Andy , Barr, R. Graham , Carson, Paul L. , Couade, Mathieu , Chen, Shigao , Dhyani, Manish , Ehman, Richard L. , Garra, Brian S. , Gee, Albert, Guenette, Gilles, Hah, Zaegyoo , Lynch, Ted , Macdonald, Michael , Managuli, Ravi , Nightingale, Kathryn R. , Obuchowski, Nancy A. , Rouze, Ned C. , Morris, D. Cody , Fielding, Shana, Chan, Derek Y. , Choudhury, Kingshuk Roy , Yang, Siyun , Shamdasani, Vijay, Wear, Keith A. , Xie, Hua , Qiang, Bo, Rosenzweig, Stephen, Okamura, Yoko, McLaughlin, Glen, Chen, Yuling , Napolitano, David , Carlson, Lindsey , Erpelding, Todd N. , Barr, Richard , Carson, Paul , Dhyani, Manish , Ehman, Richard , Hah, Zaegyoo , Lynch, Ted , Macdonald, Michael , Managuli, Ravi , Miette, Veronique , Nightingale, Kathryn R , Obuchowski, Nancy , Rouze, Ned C , Morris, D Cody , Deng, Yufeng , Chan, Derek , Choudhury, Kingshuk , Samir, Anthony E , Urban, Matthew W , Wear, Keith , Ozturk, Arinc , Song, Pengfei , McAleavey, Stephen , Napolitano, David , Carlson, Lindsey , Hall, Timothy J , Chen, Jun , Miette, Véronique , Urban, Matthew W. , Song, Pengfei , Wang, Michael , Hall, Timothy J.

Journal of Ultrasound in Medicine | January 10, 2021 | Volume: 40 | Issue: 3 | Pages: 569-581

10.1002/jum.15609 Get It

ObjectivesTo quantify the bias of shear wave speed (SWS) measurements between different commercial ultrasonic shear elasticity systems and a magnetic resonance elastography (MRE) system in elastic and viscoelastic phantoms.MethodsTwo elastic phantoms, representing healthy through fibrotic liver, were measured with 5 different ultrasound platforms, and 3 viscoelastic phantoms, representing healthy through fibrotic liver tissue, were measured with 12 different ultrasound platforms. Measurements were performed with different systems at different sites, at 3 focal depths, and with different appraisers. The SWS bias across the systems was quantified as a function of the system, site, focal depth, and appraiser. A single MRE research system was also used to characterize these phantoms using discrete frequencies from 60 to 500 Hz.ResultsThe SWS from different systems had mean difference 95% confidence intervals of ±0.145 m/s (±9.6%) across both elastic phantoms and ± 0.340 m/s (±15.3%) across the viscoelastic phantoms. The focal depth and appraiser were less significant sources of SWS variability than the system and site. Magnetic resonance elastography best matched the ultrasonic SWS in the viscoelastic phantoms using a 140 Hz source but had a − 0.27 ± 0.027‐m/s (−12.2% ± 1.2%) bias when using the clinically implemented 60‐Hz vibration source.ConclusionsShear wave speed reconstruction across different manufacturer systems is more consistent in elastic than viscoelastic phantoms, with a mean difference bias of < ±10% in all cases. Magnetic resonance elastographic measurements in the elastic and viscoelastic phantoms best match the ultrasound systems with a 140‐Hz excitation but have a significant negative bias operating at 60 Hz. This study establishes a foundation for meaningful comparison of SWS measurements made with different platforms.
MR elastography of the human abdominal aorta: A preliminary study
Glaser, Kevin J. , Yin, Meng , Rossman, Phillip J. , Xu, Lei , Chen, Jun , Ehman, Richard L. , Yin, Meng

Journal of Magnetic Resonance Imaging | January 31, 2013 | Volume: 38 | Issue: 6 | Pages: 1549-1553

10.1002/jmri.24056 Get It

PurposeTo investigate the feasibility of using MR elastography (MRE) for the evaluation of the stiffness of in vivo aortic wall.Materials and MethodsTo validate the experimental approach for imaging the aorta in vivo, a gel phantom with an embedded porcine aorta was imaged in the presence of fluid flow within the aorta. The potential changes in the elasticity of the vessel wall with changes in pressure were investigated. The feasibility of performing MRE of abdominal aorta was assessed in five volunteers (age, 22–40 years; body mass index, 21.5–25.2 kg/m2). The pulse‐gated cine MRE technique was used to study the wave propagation along the aorta throughout the cardiac cycle and provide estimates of aortic stiffness in diastole.ResultsIn the phantom study, the wave propagation was well visualized within the porcine aorta embedded in the gel phantom. An increase of the Young's modulus‐wall thickness (E*t) product with the increase in static pressure was observed. In the in vivo study, the waves were well visualized within the lumen of abdominal aorta in the five volunteers in diastolic phase, but they were not well visualized during systole.ConclusionMRE is feasible for noninvasively assessing the stiffness of the abdominal aorta and merits further investigation. J. Magn. Reson. Imaging 2013;38:1549–1553. © 2013 Wiley Periodicals, Inc.
Automated liver stiffness measurements with magnetic resonance elastography
Dzyubak, Bogdan , Glaser, Kevin J. , Yin, Meng , Talwalkar, Jayant A., Chen, Jun , Manduca, Armando , Ehman, Richard L. , Dzyubak, Bogdan , Yin, Meng

Journal of Magnetic Resonance Imaging | December 21, 2012 | Volume: 38 | Issue: 2 | Pages: 371-379

10.1002/jmri.23980 Get It

PurposeTo provide a fully automated algorithm for obtaining stiffness measurements from hepatic magnetic resonance elastography (MRE) images that are consistent with measurements performed by expert readers.Materials and MethodsAn initial liver contour was found using an adaptive threshold and expanded using an active contour to select a homogeneous area of the liver. The confidence map generated during the stiffness calculation was used to select a region of reliable wave propagation. The average stiffness within the automatically generated region of interest (ROI) was compared to measurements by two trained readers in a set of 88 clinical test cases ranging from healthy to severely fibrotic.ResultsThe stiffness measurements reported by the readers differed by −6.76% ± 22.8% (95% confidence) and had an intraclass correlation coefficient (ICC) of 0.972 (P < 0.05). The algorithm and the more experienced reader differed by 4.32% ± 14.9 with an ICC of 0.987.ConclusionThe automated algorithm performed reliably, even though MRE acquisitions often have motion artifacts present. The correlation between the automated measurements and those from the trained readers was superior to the correlation between the readers. J. Magn. Reson. Imaging 2013;38:371–379. © 2013 Wiley Periodicals, Inc.