Interactive & Emergent Autonomy Lab

Rebecca Abbott


I am interested in developing diagnostic and therapeutic tools in physical rehabilitation utilizing musculoskeletal modeling with computational algorithms in inferential statistics, parameter information, and information theory.


Information Maximizing Clinical Diagnostics


B.S. Mechanical Engineering Tufts University, 2008
Doctorate of Physical Therapy Northwestern University, 2018


Grader for Mechanics of Sports (ME 360), Spring 2019


The qualitative grading of muscle fat infiltration in whiplash using fat and water magnetic resonance imaging
R. Abbott, A Peolsson, J. West, J. Elliott, U Aslund, A Karlsson, O Dahlqvist Leinhard
The Spine Journal, vol. 18, pp. 717-725, 2018. Paper

Manually defining regions of interest when quantifying paravertebral muscles fatty infiltration from axial magnetic resonance imaging: a proposed method for the lumbar spine with anatomical cross-reference
R. Crawford, J Cornwall, R. Abbott, J. Elliott
BMC Musculoskeletal Disorders, vol. 18, no. 25, 2017. Paper

Towards defining muscular regions of interest from axial magnetic resonance imaging with anatomical cross-reference: part II - cervical spine musculature
J. Elliott, J Cornwall, E Kennedy, R. Abbott, R. Crawford
BMC Musculoskeletal Disorders, vol. 19, no. 1, 2017. Paper

The geography of fatty infiltrates within the cervical multifidus and semispinalis cervicis in individuals with chronic whiplash-associated disorders
R. Abbott, A. Pedler, M. Sterling, J. Hides, T. D. Murphey, M. Hoggarth, and J. Elliott
Journal of Orthopaedic and Sports Physical Therapy, vol. 45, no. 4, pp. 281–288, 2015.

Muscle-Fat MRI: 1.5 Tesla and 3.0 Tesla versus histology
A. Smith, T Parrish, R. Abbott, M. Hoggarth, K. Mendoza, Y. Chen, J. Elliott
Muscle & Nerve, vol. 50, pp. 170-176, 2014. Paper