A comprehensive comparison between shortest-path HARP refinement,SinMod, and DENSEanalysis processing tools applied to CSPAMM and DENSE images |
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| Affiliation: | 1. Department of Electrical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile;2. Department of Mechanical Engineering, Universidad Técnica Federico Santa María, Santiago, Chile;3. School of Biomedical Engineering, Universidad de Valparaíso, Valparaíso, Chile;4. Department of Radiology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile;5. Biomedical Imaging Centre, Pontificia Universidad Católica de Chile, Santiago, Chile;6. Millennium Nucleus for Cardiovascular Magnetic Resonance, Santiago, Chile;1. Department of Cardiology, Boston Children''s Hospital and Department of Pediatrics, Harvard Medical School, Boston, MA, USA;2. Department of Computer Science, Technical University of Munich, Garching, Germany;3. Philips Healthcare, Gainesville, FL, USA;1. Department of Radiology, Shenzhen People''s Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong Province, China;2. Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China;3. Department of Pathology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China.;1. Department of Radiology, Kawasaki Medical School, 577 Matsushima, Kurashiki-city, Okayama 701-0192, Japan;2. Department of Pathology, Kawasaki Medical School, 577 Matsushima, Kurashiki-city, Okayama 701-0192, Japan;3. Department of Radiology, Radiolonet Tokai, Asaoka-cho 3-86-2, Chikusa-ku, Nagoya-city, Aichi 464-0811, Japan;4. Philips Japan, Konan 2-13-37, Minato-ku, Tokyo 108-8507, Japan;5. Department of Urology, Kawasaki Medical School, 577 Matsushima, Kurashiki-city, Okayama 701-0192, Japan;1. Vanderbilt University Medical Center, Department Radiology and Radiological Sciences, Nashville, TN, United States of America;2. Vanderbilt University Medical Center, Institute of Imaging Science, Nashville, TN, United States of America;3. Vanderbilt University Medical Center, Department of Plastic Surgery, Nashville, TN, United States of America;4. Vanderbilt University Medical Center, Department of Biostatistics, Nashville, TN, USA;5. Vanderbilt University, Department of Biomedical Engineering, Nashville, TN, United States of America;6. Barrow Neurological Institute, Division of Neuroimaging Research, Phoenix, AZ, United States of America |
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| Abstract: | We addressed comprehensively the performance of Shortest-Path HARP Refinement (SP-HR), SinMod, and DENSEanalysis using 2D slices of synthetic CSPAMM and DENSE images with realistic contrasts obtained from 3D phantoms. The three motion estimation techniques were interrogated under ideal and no-ideal conditions (with MR induced artifacts, noise, and through-plane motion), considering several resolutions and noise levels. Under noisy conditions, and for isotropic pixel sizes of 1.5 mm and 3.0 mm in CSPAMM and DENSE images respectively, the nRMSE obtained for the circumferential and radial strain components were 10.7 ± 10.8% and 25.5 ± 14.8% using SP-HR, 11.9 ± 2.5% and 29.3 ± 6.5% using SinMod, and 6.4 ± 2.0% and 18.2 ± 4.6% using DENSEanalysis. Overall, the results showed that SP-HR tends to fail for large tissue motions, whereas SinMod and DENSEanalysis gave accurate displacement and strain field estimations, being the last which performed the best. |
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