Mechanical characterization of abdominal aortas using multi-perspective ultrasound imaging. (July 2021)
- Record Type:
- Journal Article
- Title:
- Mechanical characterization of abdominal aortas using multi-perspective ultrasound imaging. (July 2021)
- Main Title:
- Mechanical characterization of abdominal aortas using multi-perspective ultrasound imaging
- Authors:
- Petterson, Niels
Sjoerdsma, Marloes
van Sambeek, Marc
van de Vosse, Frans
Lopata, Richard - Abstract:
- Abstract: Mechanical characterization of abdominal aortic aneurysms using personalized biomechanical models is being widely investigated as an alternative criterion to assess risk of rupture. These methods rely on accurate wall motion detection and appropriate model boundary conditions. In this study, multi-perspective ultrasound is combined with finite element models to perform mechanical characterization of abdominal aortas in volunteers. Multi-perspective biplane radio frequency ultrasound recordings were made under seven angles (-45° to 45°) in one phantom set-up and eight volunteers, which were merged using automatic image registration. 2-D displacement fields were estimated in the seven longitudinal ultrasound views, creating a sparse, high resolution 3-D map of the wall motion at relatively high frame rates (20–27 Hz). The displacements were used to personalize the subject-specific finite element model of which the geometry of the aorta, spine, and surrounding tissue were determined from a single 3-D ultrasound acquisition. Automatic registration of the multi-perspective images was successful in six out of eight cases with an average error of 5.4° compared to the ground truth. Displacements of the aortic wall were measured and cyclic strain of the aortic diameter was found ranging from 4.2% to 8.6%. The subject-specific mesh and inverse FE analysis was performed yielding shear moduli estimates for the wall between 104 and 215 kPa. Comparative results from aAbstract: Mechanical characterization of abdominal aortic aneurysms using personalized biomechanical models is being widely investigated as an alternative criterion to assess risk of rupture. These methods rely on accurate wall motion detection and appropriate model boundary conditions. In this study, multi-perspective ultrasound is combined with finite element models to perform mechanical characterization of abdominal aortas in volunteers. Multi-perspective biplane radio frequency ultrasound recordings were made under seven angles (-45° to 45°) in one phantom set-up and eight volunteers, which were merged using automatic image registration. 2-D displacement fields were estimated in the seven longitudinal ultrasound views, creating a sparse, high resolution 3-D map of the wall motion at relatively high frame rates (20–27 Hz). The displacements were used to personalize the subject-specific finite element model of which the geometry of the aorta, spine, and surrounding tissue were determined from a single 3-D ultrasound acquisition. Automatic registration of the multi-perspective images was successful in six out of eight cases with an average error of 5.4° compared to the ground truth. Displacements of the aortic wall were measured and cyclic strain of the aortic diameter was found ranging from 4.2% to 8.6%. The subject-specific mesh and inverse FE analysis was performed yielding shear moduli estimates for the wall between 104 and 215 kPa. Comparative results from a single-perspective workflow revealed very low aortic wall motion signal, which resulted in relatively high modulus estimates, between 230 and 754 kPa. Multi-perspective biplane ultrasound imaging was used to personalize finite element models of the abdominal aorta and its surroundings, and performing mechanical characterization of the aortic shear modulus. The method was found to be a more robust method compared to a single-perspective 3-D ultrasound approach. Future research will focus on investigating the use of multiple 3-D ultrasound acquisitions, the feasibility of free-hand scanning, the creation of a full 3-D automatic registration process, and with that, enable a clinical continuation of this study. … (more)
- Is Part Of:
- Journal of the mechanical behavior of biomedical materials. Volume 119(2021)
- Journal:
- Journal of the mechanical behavior of biomedical materials
- Issue:
- Volume 119(2021)
- Issue Display:
- Volume 119, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 119
- Issue:
- 2021
- Issue Sort Value:
- 2021-0119-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-07
- Subjects:
- Ultrasound -- Cardiovascular -- Aorta -- Multi-perspective
Biomedical materials -- Periodicals
Biomedical materials -- Mechanical properties -- Periodicals
Biomedical materials
Biomedical materials -- Mechanical properties
Periodicals
Electronic journals
610.28 - Journal URLs:
- http://www.sciencedirect.com/science/journal/17516161 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jmbbm.2021.104509 ↗
- Languages:
- English
- ISSNs:
- 1751-6161
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5015.809000
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British Library HMNTS - ELD Digital store - Ingest File:
- 16822.xml