DocumentCode :
2082073
Title :
Hyperpolarized 3He magnetic resonance pulmonary imaging: Image processing tools for clinical research
Author :
Mathew, Lindsay ; Wheatley, Andrew ; Mccormack, David G. ; Parraga, Grace
Author_Institution :
Imaging Res. Labs., Robarts Res. Inst., London, ON
fYear :
2008
fDate :
26-29 Oct. 2008
Firstpage :
1086
Lastpage :
1089
Abstract :
Hyperpolarized 3He magnetic resonance imaging has emerged as an in vivo imaging pulmonary research tool. It is unique among imaging methods in that it provides simultaneous lung structural and functional information at high resolution without the use of ionizing radiation, and thus is ideally suited for intensive serial longitudinal studies and for examining treatment effects. Despite the great promise of the method, currently, non-quantitative image analysis tools continue to be utilized for the analysis of functional images obtained from 3He MRI. In order for the translation of 3He MRI to clinical research, quantitative and precise image analysis tools are required. Thus, image processing tools for rigid and non-rigid registration, signal normalization and image subtraction are under development and being validated for the sensitive and specific measurement of airway and airspace changes in 3He MR image datasets.
Keywords :
biomagnetism; biomedical MRI; image registration; image segmentation; lung; medical image processing; hyperpolarized 3He magnetic resonance pulmonary imaging; image analysis tools; image processing; image registration; image segmentation; in vivo imaging pulmonary research tool; Helium; High-resolution imaging; Image analysis; Image processing; Image resolution; In vivo; Ionizing radiation; Lungs; Magnetic resonance imaging; Signal processing; Image analysis; image processing; image registration; image segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2008 42nd Asilomar Conference on
Conference_Location :
Pacific Grove, CA
ISSN :
1058-6393
Print_ISBN :
978-1-4244-2940-0
Electronic_ISBN :
1058-6393
Type :
conf
DOI :
10.1109/ACSSC.2008.5074580
Filename :
5074580
Link To Document :
بازگشت