Four-dimensional image processing of myocardial CT perfusion for improved image quality and noise reduction |
| |
| Authors: | James M. Otton J. Tobias Kühl Klaus F. Kofoed Jane McCrohon Michael Feneley Neville Sammel Chung-Yao Yu Amedeo Chiribiri Eike Nagel |
| |
| Affiliation: | 1. St Vincent’s Hospital, Sydney, Australia;2. University of New South Wales, Australia;3. King’s College London, Division of Imaging Sciences, The Rayne Institute, 4th Floor Lambeth Wing, St. Thomas’ Hospital, London SE1 7EH, United Kingdom;4. Department of Cardiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark;1. Departments of Medicine and Imaging and Biomedical Sciences, Cedars-Sinai Heart Institute and Cedars-Sinai Medical Center, 8700 Beverly Boulevard, S. Mark Taper Building Room 1253, Los Angeles, CA 90048, USA;2. Department of Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA;3. Department of Diagnostic Radiology, Keio University School of Medicine, Tokyo, Japan;4. Centro Cardiologico Monzino, IRCCS, Milan, Italy;5. Department of Radiology, Yonsei University School of Medicine, Seoul, Korea;6. Department of Medicine, Division of Cardiology, Yonsei University School of Medicine, Seoul, Korea;7. Department of Radiology, Cardiovascular Institute and Fuwai Hospital, Peking Union Medical College, Beijing, China;8. Department of Medicine, Division of Cardiology, Mount Sinai School of Medicine, New York, NY, USA;9. Department of Medicine, Division of Cardiology, University of California at San Diego, San Diego, CA, USA;10. Department of Clinical Radiology, Derriford Hospital, Plymouth, United Kingdom;11. Baptist Hospital of Miami and Baptist Cardiac and Vascular Institute, Miami, FL, USA;12. Walter Reed Medical Center, Bethesda, MD, USA;13. Asan Medical Center, Seoul, Korea;14. St. Paul''s Hospital, Vancouver, British Columbia, Canada;1. Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Raemistrasse 101, 8091 Zurich, Switzerland;2. Institute of Radiology, General Hospital St. Gallen, Switzerland;1. Department of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, 1-2-3 Kasumi, Minami-Ku, Hiroshima 734-8551, Japan;2. Department of Diagnostic Radiology, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima, Japan;1. Department of Cardiology, Tokyo Women’s Medical University, 8-1 Kawada-cho, Sinjuku-ku, Tokyo 162-8666, Japan;2. Department of Diagnostic Radiology, Saitama Medical University International Medical Center, 1397-1 Yamane, Hidaka City, Saitama 350-1298, Japan |
| |
| Abstract: | BackgroundImage noise and multiple sources of artifact may affect the accurate interpretation of myocardial CT perfusion (CTP) studies. Although artifact within the image is often time dependent, tissue characteristics remain unchanged irrespective of cardiac phase.ObjectiveWe assessed a new technique of 4-dimensional, spatiotemporal analysis, using redundant time domain information within additional phase acquisitions to reduce CTP image noise.MethodsFour-dimensional analysis was assessed in a static phantom and in 10 CTP studies with invasive fractional flow reserve (FFR) correlation. For each voxel within the CTP study the distribution of local Hounsfield values was measured in both time and space with the use of a customized program within MATLAB software. These values were filtered to eliminate those likely to represent noise or rapidly changing beam hardening artifact. All CTP images were acquired within a single heartbeat with 320 detector-row CT. Image noise was quantified as the SD of voxel values within myocardial segments. Contrast was measured between normal and abnormal vascular territories as assessed by FFR.ResultsThe mean image noise within the unprocessed CTP images was 30 HU (range, 23–42 HU). After 4-dimensional filtering the mean image noise was 22 HU (range, 15–29 HU). The mean reduction in image noise was 28% (P < 0.001). The mean contrast between normally perfused and ischemic segments was not significantly changed. The mean increase in contrast-to-noise ratio between ischemic territories and the myocardial average was 52% (P < 0.001).ConclusionFour-dimensional analysis of CTP significantly reduces image noise and may assist in the assessment of myocardial perfusion studies. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
