Title :
A MATLAB-based image registration graphical user interface system for 31P NMR and 1H MR images of the lower leg
Author :
Sullivan, M.J. ; Testa, D.M. ; Smithline, H. ; Greenman, R.
Author_Institution :
Dept. of Biomed. Eng., Western New England Coll., Springfield, MA, USA
Abstract :
Measuring energy metabolism in patients with acute and chronic heart failure is an important research tool for understanding the pathophysiology of the disease and developing new treatments. Measuring energy metabolism of the lower extremities using 31P NMR imaging, may establish an alternate method of studying the pathophysiology of heart failure. The 31P NMR imaging technique yields extremely low spatial resolution, making image registration with this modality problematic. In previous studies, 31P NMR images were registered manually with 1H MR images to correlate the image information with physical space. This process takes a great deal of time for the physician. Therefore, a MATLAB-based image registration system has been designed to automate this process for the physician to improve both time and registration efficacy.
Keywords :
biocomputing; biomedical MRI; cardiology; diseases; graphical user interfaces; image registration; mathematics computing; medical image processing; H MR images; MATLAB-based image registration; P NMR; chronic heart failure; disease; graphical user interface system; heart failure; image information; image registration; pathophysiology; spatial resolution; Biochemistry; Cardiac disease; Cardiovascular diseases; Computer languages; Energy measurement; Graphical user interfaces; Heart; Image registration; Magnetic resonance imaging; Medical treatment;
Conference_Titel :
Bioengineering Conference, Proceedings of the 2010 IEEE 36th Annual Northeast
Conference_Location :
New York, NY
Print_ISBN :
978-1-4244-6879-9
DOI :
10.1109/NEBC.2010.5458275
