test Browse by Author Names Browse by Titles of Works Browse by Subjects of Works Browse by Issue Dates of Works
       

Advanced Search
Home   
 
Browse   
Communities
& Collections
  
Issue Date   
Author   
Title   
Subject   
 
Sign on to:   
Receive email
updates
  
My Account
authorized users
  
Edit Profile   
 
Help   
About T-Space   

T-Space at The University of Toronto Libraries >
School of Graduate Studies - Theses >
Master >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1807/24627

Title: Transformation of Muscle Architecture at the Fiber Bundle Level to Fit Parametric B-spline Volumes: Extensor carpi radialis brevis and longus
Authors: Ravichandiran, Mayoorendra
Advisor: Agur, Anne M. R.
Department: Medical Science
Keywords: muscle architecture
fitting
fiber bundle architecture
modeling
Issue Date: 27-Jul-2010
Abstract: Most models of the musculoskeletal system incorporate individual or groups of muscles as a series of line segments, assuming all fiber bundles within a muscle have the same length and moment arm, and do not account for architectural differences throughout the muscle volume. The purpose was to develop an algorithm to fit digitized fiber bundle data from one specimen into muscle volume and intramuscular nerve distribution data from seven other specimens of extensor carpi radialis longus (ECRL) and brevis (ECRB). Coherent Point Drift (CPD) algorithm was successfully adapted for this purpose. The intramuscular nerve distribution and fiber bundle architecture was modeled in all the muscle volumes. ECRL was found to have two neuromuscular compartments, superficial and deep, while ECRB was found to have two, three or four, in a proximal to distal direction depending on the number of primary nerve branches.
URI: http://hdl.handle.net/1807/24627
Appears in Collections:Master
Institute of Medical Science - Master theses

Files in This Item:

File Description SizeFormat
Ravichandiran_Mayoorendra_20106_MSc_thesis.pdf64.52 MBAdobe PDF
View/Open

Items in T-Space are protected by copyright, with all rights reserved, unless otherwise indicated.

uoft