Filters in 2D and 3D Cardiac SPECT Image Processing
Nuclear cardiac imaging is a noninvasive, sensitive method providing information on cardiac structure and physiology. Single photon emission tomography (SPECT) evaluates myocardial perfusion, viability, and function and is widely used in clinical routine. The quality of the tomographic image is a ke...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | Cardiology Research and Practice |
| Online Access: | http://dx.doi.org/10.1155/2014/963264 |
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| author | Maria Lyra Agapi Ploussi Maritina Rouchota Stella Synefia |
| author_facet | Maria Lyra Agapi Ploussi Maritina Rouchota Stella Synefia |
| author_sort | Maria Lyra |
| collection | DOAJ |
| description | Nuclear cardiac imaging is a noninvasive, sensitive method providing information on cardiac structure and physiology. Single photon emission tomography (SPECT) evaluates myocardial perfusion, viability, and function and is widely used in clinical routine. The quality of the tomographic image is a key for accurate diagnosis. Image filtering, a mathematical processing, compensates for loss of detail in an image while reducing image noise, and it can improve the image resolution and limit the degradation of the image. SPECT images are then reconstructed, either by filter back projection (FBP) analytical technique or iteratively, by algebraic methods. The aim of this study is to review filters in cardiac 2D, 3D, and 4D SPECT applications and how these affect the image quality mirroring the diagnostic accuracy of SPECT images. Several filters, including the Hanning, Butterworth, and Parzen filters, were evaluated in combination with the two reconstruction methods as well as with a specified MatLab program. Results showed that for both 3D and 4D cardiac SPECT the Butterworth filter, for different critical frequencies and orders, produced the best results. Between the two reconstruction methods, the iterative one might be more appropriate for cardiac SPECT, since it improves lesion detectability due to the significant improvement of image contrast. |
| format | Article |
| id | doaj-art-54aac99a4ffe46b384283842d50a964d |
| institution | Kabale University |
| issn | 2090-8016 2090-0597 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Cardiology Research and Practice |
| spelling | doaj-art-54aac99a4ffe46b384283842d50a964d2025-02-03T05:48:16ZengWileyCardiology Research and Practice2090-80162090-05972014-01-01201410.1155/2014/963264963264Filters in 2D and 3D Cardiac SPECT Image ProcessingMaria Lyra0Agapi Ploussi1Maritina Rouchota2Stella Synefia31st Department of Radiology, Faculty of Medicine, Aretaieion Hospital, University of Athens, 11528 Athens, Greece2nd Department of Radiology, Faculty of Medicine, Aretaieion Hospital, University of Athens, 11528 Athens, Greece1st Department of Radiology, Faculty of Medicine, Aretaieion Hospital, University of Athens, 11528 Athens, Greece1st Department of Radiology, Faculty of Medicine, Aretaieion Hospital, University of Athens, 11528 Athens, GreeceNuclear cardiac imaging is a noninvasive, sensitive method providing information on cardiac structure and physiology. Single photon emission tomography (SPECT) evaluates myocardial perfusion, viability, and function and is widely used in clinical routine. The quality of the tomographic image is a key for accurate diagnosis. Image filtering, a mathematical processing, compensates for loss of detail in an image while reducing image noise, and it can improve the image resolution and limit the degradation of the image. SPECT images are then reconstructed, either by filter back projection (FBP) analytical technique or iteratively, by algebraic methods. The aim of this study is to review filters in cardiac 2D, 3D, and 4D SPECT applications and how these affect the image quality mirroring the diagnostic accuracy of SPECT images. Several filters, including the Hanning, Butterworth, and Parzen filters, were evaluated in combination with the two reconstruction methods as well as with a specified MatLab program. Results showed that for both 3D and 4D cardiac SPECT the Butterworth filter, for different critical frequencies and orders, produced the best results. Between the two reconstruction methods, the iterative one might be more appropriate for cardiac SPECT, since it improves lesion detectability due to the significant improvement of image contrast.http://dx.doi.org/10.1155/2014/963264 |
| spellingShingle | Maria Lyra Agapi Ploussi Maritina Rouchota Stella Synefia Filters in 2D and 3D Cardiac SPECT Image Processing Cardiology Research and Practice |
| title | Filters in 2D and 3D Cardiac SPECT Image Processing |
| title_full | Filters in 2D and 3D Cardiac SPECT Image Processing |
| title_fullStr | Filters in 2D and 3D Cardiac SPECT Image Processing |
| title_full_unstemmed | Filters in 2D and 3D Cardiac SPECT Image Processing |
| title_short | Filters in 2D and 3D Cardiac SPECT Image Processing |
| title_sort | filters in 2d and 3d cardiac spect image processing |
| url | http://dx.doi.org/10.1155/2014/963264 |
| work_keys_str_mv | AT marialyra filtersin2dand3dcardiacspectimageprocessing AT agapiploussi filtersin2dand3dcardiacspectimageprocessing AT maritinarouchota filtersin2dand3dcardiacspectimageprocessing AT stellasynefia filtersin2dand3dcardiacspectimageprocessing |