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Filtering in SPECT Image Reconstruction
Joint Authors
Source
International Journal of Biomedical Imaging
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-06-23
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Single photon emission computed tomography (SPECT) imaging is widely implemented in nuclear medicine as its clinical role in the diagnosis and management of several diseases is, many times, very helpful (e.g., myocardium perfusion imaging).
The quality of SPECT images are degraded by several factors such as noise because of the limited number of counts, attenuation, or scatter of photons.
Image filtering is necessary to compensate these effects and, therefore, to improve image quality.
The goal of filtering in tomographic images is to suppress statistical noise and simultaneously to preserve spatial resolution and contrast.
The aim of this work is to describe the most widely used filters in SPECT applications and how these affect the image quality.
The choice of the filter type, the cut-off frequency and the order is a major problem in clinical routine.
In many clinical cases, information for specific parameters is not provided, and findings cannot be extrapolated to other similar SPECT imaging applications.
A literature review for the determination of the mostly used filters in cardiac, brain, bone, liver, kidneys, and thyroid applications is also presented.
As resulting from the overview, no filter is perfect, and the selection of the proper filters, most of the times, is done empirically.
The standardization of image-processing results may limit the filter types for each SPECT examination to certain few filters and some of their parameters.
Standardization, also, helps in reducing image processing time, as the filters and their parameters must be standardised before being put to clinical use.
Commercial reconstruction software selections lead to comparable results interdepartmentally.
The manufacturers normally supply default filters/parameters, but these may not be relevant in various clinical situations.
After proper standardisation, it is possible to use many suitable filters or one optimal filter.
American Psychological Association (APA)
Lyra, Maria& Ploussi, Agapi. 2011. Filtering in SPECT Image Reconstruction. International Journal of Biomedical Imaging،Vol. 2011, no. 2011, pp.1-14.
https://search.emarefa.net/detail/BIM-491129
Modern Language Association (MLA)
Lyra, Maria& Ploussi, Agapi. Filtering in SPECT Image Reconstruction. International Journal of Biomedical Imaging No. 2011 (2011), pp.1-14.
https://search.emarefa.net/detail/BIM-491129
American Medical Association (AMA)
Lyra, Maria& Ploussi, Agapi. Filtering in SPECT Image Reconstruction. International Journal of Biomedical Imaging. 2011. Vol. 2011, no. 2011, pp.1-14.
https://search.emarefa.net/detail/BIM-491129
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-491129