DocumentCode :
3782147
Title :
The use of image morphing to improve the detection of tumors in emission imaging
Author :
C. Dykstra;A. Celler;K. Greer;R. Jaszczak
Author_Institution :
Duke Univ. Med. Center, Durham, NC, USA
Volume :
3
fYear :
1998
Firstpage :
1781
Abstract :
Two of the limitations on the utility of SPECT and planar scintigraphy for the non-invasive detection of carcinoma are the small sizes of many tumors and the possible low contrast between tumor uptake and background. This is particularly true for breast imaging. Use of some form of image processing can improve the visibility of tumors which are at the limit of hardware resolution. Smoothing, by some form of image averaging, either during or post-reconstruction, is widely used to reduce noise and thereby improve the detectability of regions of elevated activity. However, smoothing degrades resolution and, by averaging together closely spaced noise, may make noise look like a valid region of increased uptake. Image morphing by erosion and dilation does not average together image values; it instead selectively removes small features and irregularities from an image without changing the larger features. Application of morphing to emission images has shown that it does not, therefore, degrade resolution and does not always degrade contrast. For these reasons it may be a better method of image processing for noise removal in some images. Here the authors present a comparison of the effects of smoothing and morphing on breast and liver studies.
Keywords :
"Smoothing methods","Image processing","Image resolution","Degradation","Imaging phantoms","Breast neoplasms","Liver","Biomedical imaging","Nuclear medicine","Hardware"
Publisher :
ieee
Conference_Titel :
Nuclear Science Symposium, 1998. Conference Record. 1998 IEEE
ISSN :
1082-3654
Print_ISBN :
0-7803-5021-9
Type :
conf
DOI :
10.1109/NSSMIC.1998.773883
Filename :
773883
Link To Document :
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