NDLI: Exploring physiological differences in time-frequency domain to improve tumor detectability for dynamic PET

Content Provider	IEEE Xplore Digital Library
Author	Li, Z. Yu, X.
Copyright Year	2004
Description	Author affiliation: Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA (Li, Z.; Yu, X.)
Abstract	The time activity curve (TAC) of FDG PET, which reflects glucose metabolic rate, often increases in cancer cell while decreases in normal tissue along with time, we studied this temporal difference in frequency domain to characterize the behaviors of the individual physiological function and TAC. An image enhancement algorithm was designed and tested based on this frequency domain property of TAC which showed a good performance. However, by simply applying the conventional frequency domain analysis, the distinguishable temporal characteristics appearing in TACs are somehow lost. In this paper, we further examined the TAC differences in time-frequency domain using wavelet based multi-channel analysis. By decomposing the TAC into different frequency bands and time slots, we found out that energy of TAC in tumor and background distributed differently in time-frequency domain. To validate these time-frequency differences of TAC, an energy ratio detection criterion is designed to distinguish malignance from normal tissue by evaluating the ratio of energies over two subsets of wavelet base functions in which malignant and normal TACs energy mainly lay. The phantom and clinical studies show that the tumor to background contrast can be improved by our method. These time-frequency properties can also be exploited for bases function selection for list mode based reconstruction method
Starting Page	4102
Ending Page	4105
File Size	1481267
Page Count	4
File Format	PDF
ISBN	0780387007
ISSN	10823654
e-ISBN	0780387015
DOI	10.1109/NSSMIC.2004.1466795
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-10-16
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Time frequency analysis Neoplasms Positron emission tomography Frequency domain analysis Cancer Sugar Image enhancement Algorithm design and analysis Testing Wavelet analysis
Content Type	Text
Resource Type	Article

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