Automatic determination of minimal cardiac motion phases for computed tomography imaging: initial experience
Autor: | Shmuel Rispler, Robert Manzke, Daniel T. Boll, Florian T. Schmid, Martin H. K. Hoffmann, Andrik J. Aschoff, Jonathan Lessick, Michael Grass, Edward Gershin |
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Rok vydání: | 2005 |
Předmět: |
Adult
Male medicine.medical_specialty Computed tomography Coronary Angiography Phase detector Motion (physics) Heart Rate Cardiac motion Image Processing Computer-Assisted Humans Medicine Radiology Nuclear Medicine and imaging Selection (genetic algorithm) Aged Aged 80 and over Observer Variation Cardiac cycle medicine.diagnostic_test business.industry Process (computing) General Medicine Middle Aged Image Enhancement Myocardial Contraction Breathing Female Radiology Artifacts Tomography X-Ray Computed business |
Zdroj: | European Radiology. 16:365-373 |
ISSN: | 1432-1084 0938-7994 |
DOI: | 10.1007/s00330-005-2849-z |
Popis: | Low motion phases for cardiac computed tomography reconstructions are currently detected manually in a user-dependent selection process which is often time consuming and suboptimal. The concept of motion maps was recently introduced to achieve automatic phase selection. This pilot study compared the accuracy of motion-map phase selection to that with manual iterative selection. The study included 20 patients, consisting of one group with low and one with high heart rate. The technique automatically derives a motion strength function between multiple low-resolution reconstructions through the cardiac cycle, with periods of lowest difference between neighboring phases indicating minimal cardiac motion. A high level of agreement was found for phase selection achieved with the motion map approach compared with the manual iterative selection process. The motion maps allowed automated quiescent phase detection of the cardiac cycle in 85% of cases, with best results at low heart rates and for the left coronary artery. They can also provide additional information such as the presence of breathing artifacts. Motion maps show promise as a rapid off-line tool to automatically detect quiescent cardiac phases in a variety of patients. |
Databáze: | OpenAIRE |
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