RI | Research | Projects | Forecasting the Anterior Cruciate Ligament Rupture Patterns

Text only version of this site

Forecasting the Anterior Cruciate Ligament Rupture Patterns Head: Fernando De la Torre Frade Contact: Fernando De la Torre Frade (ftorre@cs.cmu.edu) Mailing address: Carnegie Mellon University Robotics Institute 211 Smith Hall Pittsburgh, PA 15213 Associated center: VASC

Jump to: Project Description | Personnel

Project Description

Complex knee injuries are common, often resulting from multiple forces (e.g. rotational, varus-valgus loading, anterior/posterior displacement). Identification of the specific injury pattern of the Anterior Cruciate Ligament (ACL) and other knee structures using non-invasive methods may improve pre-operative planning and guide treatment, reduce costs and facilitate high-quality patient care. The main goal of this project is to present a classification system based on a set of non-invasive measures and state-of-the-art machine learning techniques to preempt the exact ACL rupture pattern.

Personnel

	Name	Title	Email Address
	Fernando De la Torre Frade	Research Scientist	ftorre@cs.cmu.edu
	Freddie H. Fu	Head Team Physician, Department of Orthopaedic Surgery, University of Pittsburgh	arrisherlm@upmc.edu
	Javier Hernandez	Research Associate I	javierh@andrew.cmu.edu
	Jim Starman	Resident, Department of Orthopaedic Surgery, University of Pittsburgh	jss23@pitt.edu