A Comprehensive Motion Compensation Method for In-Plane and Out-of-Plane Motion in Dynamic Contrast-Enhanced Ultrasound of Focal Liver Lesions
| Autor: | Thodsawit, Tiyarattanachai, Simona, Turco, John R, Eisenbrey, Corinne E, Wessner, Alexandra, Medellin-Kowalewski, Stephanie, Wilson, Andrej, Lyshchik, Aya, Kamaya, Ahmed El, Kaffas |
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| Přispěvatelé: | Biomedical Diagnostics Lab, Center for Care & Cure Technology Eindhoven, Signal Processing Systems |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
Acoustics and Ultrasonics
Radiological and Ultrasound Technology Motion compensation Liver Neoplasms Biophysics Contrast Media Ultrasonography/methods Liver/diagnostic imaging Motion Liver Liver Neoplasms/diagnostic imaging Focal liver lesion Humans Radiology Nuclear Medicine and imaging Contrast-enhanced ultrasound Ultrasonography |
| Zdroj: | Ultrasound in Medicine and Biology, 48(11), 2217-2228. Elsevier |
| ISSN: | 0301-5629 |
| Popis: | Contrast-enhanced ultrasound (CEUS) acquisitions of focal liver lesions are affected by motion, which has an impact on contrast signal quantification. We therefore developed and tested, in a large patient cohort, a motion compensation algorithm called the Iterative Local Search Algorithm (ILSA), which can correct for both periodic and non-periodic in-plane motion and can reject frames with out-of-plane motion. CEUS cines of 183 focal liver lesions in 155 patients from three hospitals were used to develop and test ILSA. Performance was evaluated through quantitative metrics, including the root mean square error and R2 in fitting time–intensity curves and standard deviation value of B-mode intensities, computed across cine frames), and qualitative evaluation, including B-mode mean intensity projection images and parametric perfusion imaging. The median root mean square error significantly decreased from 0.032 to 0.024 (p < 0.001). Median R2 significantly increased from 0.88 to 0.93 (p < 0.001). The median standard deviation value of B-mode intensities significantly decreased from 6.2 to 5.0 (p < 0.001). B-Mode mean intensity projection images revealed improved spatial resolution. Parametric perfusion imaging also exhibited improved spatial detail and better differentiation between lesion and background liver parenchyma. ILSA can compensate for all types of motion encountered during liver CEUS, potentially improving contrast signal quantification of focal liver lesions. |
| Databáze: | OpenAIRE |
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