Grube, SarahSarahGrubeNeidhardt, MaximilianMaximilianNeidhardtLatus, SarahSarahLatusSchlaefer, AlexanderAlexanderSchlaefer2022-08-252022-08-252022-07Current Directions in Biomedical Engineering 8 (1): 42-45 (2022-07)http://hdl.handle.net/11420/13481Tissue elasticity contains important information for physicians in diagnosis and treatment, and, e.g., can help in tumor detection because tumors are stiffer than healthy tissue. Ultrasound shear wave elastography imaging (US-SWEI) can be used to estimate tissue stiffness by measuring the velocity of induced shear waves. Commonly, a linear US probe is used to track shear waves at a high imaging frequency in 2D. Realtime US-SWEI is limited by the required time for data processing. Hence, reducing the imaging field of view (FOV) is beneficial as it decreases the size of the acquired data and thereby the acquisition, transfer and processing time. However, a decrease in the FOV has the disadvantage that shear waves are tracked over a smaller distance and thus, also fewer sampling points are available for velocity estimation. This trade-off between a smaller FOV and thus, a smaller data size, and the accuracy of shear wave velocity estimation is investigated in this work. For this purpose, shear waves were tracked with a linear US probe in gelatin phantoms with four different stiffness values. During data processing, we reduced the FOV virtually from 38.1mm to 2.1mm. It was found that a reduction of the FOV to 4.5mm leads to an overestimation of up to five times larger shear wave velocities but still allows to distinguish between phantoms of different stiffness. However, not all estimated velocity values could be clearly assigned to the correct stiffness value. The smallest studied FOV of 2.1mm was not sufficient for distinguishing between the phantoms anymore.en2364-5504202214245De Gruyterhttps://creativecommons.org/licenses/by/4.0/Field of ViewHigh-frequency US imaging.Number of ElementsShear Wave ElastographyUltrasoundTechnikMedizinJournal Article10.15480/882.477610.1515/cdbme-2022-001110.15480/882.4776Journal Article