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Image filtering in single-photon emission computed tomography: principles and applications

✍ Scribed by K. Van Laere; M. Koole; I. Lemahieu; R. Dierckx

Publisher
Elsevier Science
Year
2001
Tongue
English
Weight
120 KB
Volume
25
Category
Article
ISSN
0895-6111

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✦ Synopsis

Among the factors contributing to optimal image quality in single-photon emission computed tomography (SPECT), image filtering is an important, though mostly subjectively applied, image-processing parameter. We have aimed at giving an overview of current available SPECT filtering options. Current SPECT applications are discussed and practical guidelines to choose optimal filter parameters for a given situation are provided. It is shown that Hann and Butterworth filters allow accurate approximations to most filter types. The authors support the use of limited filter types in an attempt to standardise image-processing approaches, which may lead to better diagnostic compatibility and interpretation of interdepartmental results.

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## Abstract We propose a new method for reconstruction of images in single photon emission computed tomography (SPECT), when the activity distribution of the object is time‐varying. The activity evolution is modeled with the first‐order Markov model, and linear observation model is used to characte