Comparison of the Effect of Iterative Reconstruction versus Filtered Back Projection on Cardiac CT Postprocessing
| Autor: | Rozemarijn Vliegenthart, Garrett W. Rowe, J. Reid Spears, Gayatri Joshi, Young Jun Cho, Markus Weininger, Paul Apfaltrer, Ullrich Ebersberger, U. Joseph Schoepf, Thomas Henzler, Antonio Moscariello |
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| Přispěvatelé: | Cardiovascular Centre (CVC) |
| Rok vydání: | 2014 |
| Předmět: |
Male
Computer science Image quality SEGMENTATION Coronary Artery Disease Iterative reconstruction Coronary Angiography Sensitivity and Specificity coronary CT angiography ANGIOGRAPHY Hounsfield scale Image noise medicine Humans Radiology Nuclear Medicine and imaging Computer vision Segmentation Iris (anatomy) METAANALYSIS Radon transform medicine.diagnostic_test business.industry Reproducibility of Results Middle Aged DIAGNOSTIC PERFORMANCE SOURCE COMPUTED-TOMOGRAPHY Radiographic Image Enhancement medicine.anatomical_structure Angiography Radiographic Image Interpretation Computer-Assisted CORONARY-ARTERY-DISEASE Female Artificial intelligence Tomography X-Ray Computed IMAGE QUALITY business Nuclear medicine Algorithms postprocessing |
| Zdroj: | Academic Radiology, 21(3), 318-324. ELSEVIER SCIENCE INC |
| ISSN: | 1076-6332 |
| DOI: | 10.1016/j.acra.2013.11.008 |
| Popis: | Rationale and Objectives: To investigate the impact of iterative reconstruction in image space (IRIS) on image noise, image quality (10), and postprocessing at coronary computed tomography angiography (cCTA) compared to traditional filtered back-projection (FBP).Materials and Methods: The cCTA results of 50 patients (26 men; 58 +/- 15 years, body mass index 31.5 +/- 6.7 kg/m(2)) were investigated using a second-generation dual-source computed tomography system. Scan data were reconstructed with the use of IRIS and FBP algorithms. Two radiologists independently evaluated the reconstructions using automated-coronary tree analysis software. Image noise was measured and IQ was rated on a 5-point Likert scale. The number of manual corrections after automated vessel Segmentation, the time required to complete segmentation, and the number of,missed segments were-assessed in both IRIS and FBP reconstructions. Results were compared using paired t-test.Results: IRIS significantly reduced image noise compared. to FBP (23.3 +/- 8.8 vs. 33.5 +/- 13.5 Hounsfield units, P .05) between IRIS and FBP, respectively.Conclusions: During cCTA postprocessing, IRIS significantly decreases the time and the number of manual corrections for a complete coronary segmentation compared to FBP. This effect is likely attributable to suppression of image noise by IRIS, which improves the performance of automated vessel segmentation and positively impacts cCTA analysis. |
| Databáze: | OpenAIRE |
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