DocumentCode :
3308715
Title :
Tissue temperature based magnetic resonance image segmentation
Author :
Özkan, Mehmed ; Öztoprak, Ufuk
Author_Institution :
Bogazici Univ., Istanbul, Turkey
Volume :
2
fYear :
1999
fDate :
36434
Abstract :
Temperature dependence of T1 has been studied as the potential means of non-invasive tissue temperature monitoring using MRI. This has several benefits in hyperthermia applications. Another active area of research in MRI deals with the tissue segmentation. In this study intensity variation in MRI due to temperature change is treated as a signature of a certain tissue class, and used for tissue segmentation. A number of phantom and in-vitro tissue experiments revealed the MRI sequence with the highest temperature sensitivity. Minimum line distance measure was used for finding the class of an unknown tissue from its temperature response curve. Preliminary segmentation results corresponding to three in-vitro tissues are presented
Keywords :
biological tissues; biomedical MRI; hyperthermia; image segmentation; image sequences; medical image processing; MRI; hyperthermia application; image segmentation; imaging sequence; in-vitro tissue experiments; minimum line distance measure; noninvasive tissue temperature monitoring; phantom experiments; spin lattice relaxation; temperature dependence; temperature response curve; tissue segmentation; Hyperthermia; Image segmentation; Imaging phantoms; Liver; Magnetic resonance; Magnetic resonance imaging; Temperature dependence; Temperature distribution; Temperature measurement; Temperature sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint
Conference_Location :
Atlanta, GA
ISSN :
1094-687X
Print_ISBN :
0-7803-5674-8
Type :
conf
DOI :
10.1109/IEMBS.1999.804226
Filename :
804226
Link To Document :
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