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Image filtering in single-photon emission computed tomography: principles and applications.
K Van Laere1, M Koole, I Lemahieu
1Nuclear Medicine Department, Ghent University Hospital, De Pintelaan 185, B-9000 Ghent, Belgium. koen.vanlaere@rug.ac.be
Summary
Image filtering is crucial for single-photon emission computed tomography (SPECT) quality. This study reviews SPECT filtering options and recommends standardizing filter use for better diagnostic results.
Area of Science:
- Medical Imaging
- Nuclear Medicine
- Image Processing
Background:
- Image filtering is a key parameter for optimizing single-photon emission computed tomography (SPECT) image quality.
- Current application of SPECT filtering is often subjective, leading to variability in results.
Purpose of the Study:
- To provide an overview of available SPECT filtering techniques.
- To offer practical guidelines for selecting optimal filter parameters.
- To advocate for standardization in SPECT image processing.
Main Methods:
- Review of current SPECT filtering options.
- Discussion of SPECT applications.
- Analysis of filter parameter selection.
Main Results:
- Hann and Butterworth filters can accurately approximate most other filter types.
- Limited use of specific filter types can achieve standardization.
Conclusions:
- Standardizing SPECT image processing through limited filter selection can improve diagnostic compatibility.
- Consistent application of filters enhances the interpretation of interdepartmental results.