Amanda K. Buck, Ph.D.

Instructor

amanda.buck@vanderbilt.edu
Faculty Appointments
Instructor in Radiology and Radiological Sciences Instructor in Biomedical Engineering
Education
Ph.D., Bioengineering, Georgia Institute of Technology, Atlanta, GeorgiaB.S., Mississippi State University, Starkville, Mississippi
Research Description
Amanda Buck, Ph.D., graduated magna cum laude with a B.S. in Chemical Engineering from Mississippi State University and earned a Ph.D. in Bioengineering from Georgia Institute of Technology. She was a Postdoctoral Scholar Trainee at the University of Alabama at Birmingham School of Medicine and a Research Trainee at the Vanderbilt University Institute of Imaging Science (VUIIS). In 2010, she was selected as an American Heart Associate Postdoctoral Fellow/Research Fellow.

Her research uses MR imaging-based approaches to non-invasively study biomechanical systems and to extract biomechanical information for understanding the systems and related pathologies. Current project include: designing blood flow paths for an artificial kidney device using computational fluid dynamics (CFD) simulations and MRI validation; investigating the relationship between cerebral artery hemodynamics and stroke in patients with sickle cell disease using MRI in conjunction with CFD models.

Section: Vanderbilt University Institute of Imaging Science
Publications
Damon BM, Froeling M, Buck AK, Oudeman J, Ding Z, Nederveen AJ, Bush EC, Strijkers GJ. Skeletal muscle diffusion tensor-MRI fiber tracking: rationale, data acquisition and analysis methods, applications and future directions. NMR Biomed [print-electronic]. 2016 Jun 6/3/2016; PMID: 27257975, DOI: 10.1002/nbm.3563, ISSN: 1099-1492.

Buck AK, Elder CP, Donahue MJ, Damon BM. Matching of postcontraction perfusion to oxygen consumption across submaximal contraction intensities in exercising humans. J. Appl. Physiol [print-electronic]. 2015 Aug 8/1/2015; 119(3): 280-9. PMID: 26066829, PMCID: PMC4526707, PII: japplphysiol.01027.2014, DOI: 10.1152/japplphysiol.01027.2014, ISSN: 1522-1601.

Buck AK, Ding Z, Elder CP, Towse TF, Damon BM. Anisotropic Smoothing Improves DT-MRI-Based Muscle Fiber Tractography. PLoS ONE. 2015; 10(5): e0126953. PMID: 26010830, PMCID: PMC4444336, PII: PONE-D-14-28260, DOI: 10.1371/journal.pone.0126953, ISSN: 1932-6203.