Tissue mimicking simulations for temporal enhanced ultrasound-based tissue typing

Sharareh Bayat; Farhad Imani; Carlos D. Gerardo; Guy Nir; Shekoofeh Azizi; Pingkun Yan; Amir Tahmasebi; Storey Wilson; Kenneth A. Iczkowski; M. Scott Lucia; Larry Goldenberg; Septimiu E. Salcudean; Parvin Mousavi; Purang Abolmaesumi

doi:10.1117/12.2255540

13 March 2017 Tissue mimicking simulations for temporal enhanced ultrasound-based tissue typing

Sharareh Bayat, Farhad Imani, Carlos D. Gerardo, Guy Nir, Shekoofeh Azizi, Pingkun Yan, Amir Tahmasebi, Storey Wilson, Kenneth A. Iczkowski, M. Scott Lucia, Larry Goldenberg, Septimiu E. Salcudean, Parvin Mousavi, Purang Abolmaesumi

Author Affiliations +

Proceedings Volume 10139, Medical Imaging 2017: Ultrasonic Imaging and Tomography; 101390D (2017) https://doi.org/10.1117/12.2255540
Event: SPIE Medical Imaging, 2017, Orlando, Florida, United States

Abstract

Temporal enhanced ultrasound (TeUS) is an imaging approach where a sequence of temporal ultrasound data is acquired and analyzed for tissue typing. Previously, in a series of in vivo and ex vivo studies we have demonstrated that, this approach is effective for detecting prostate and breast cancers. Evidences derived from our experiments suggest that both ultrasound-signal related factors such as induced heat and tissue-related factors such as the distribution and micro-vibration of scatterers lead to tissue typing information in TeUS. In this work, we simulate mechanical micro-vibrations of scatterers in tissue-mimicking phantoms that have various scatterer densities reflecting benign and cancerous tissue structures. Finite element modeling (FEM) is used for this purpose where the vertexes are scatterers representing cell nuclei. The initial positions of scatterers are determined by the distribution of nuclei segmented from actual digital histology scans of prostate cancer patients. Subsequently, we generate ultrasound images of the simulated tissue structure using the Field II package resulting in a temporal enhanced ultrasound. We demonstrate that the micro-vibrations of scatterers are captured by temporal ultrasound data and this information can be exploited for tissue typing.

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Sharareh Bayat, Farhad Imani, Carlos D. Gerardo, Guy Nir, Shekoofeh Azizi, Pingkun Yan, Amir Tahmasebi, Storey Wilson, Kenneth A. Iczkowski, M. Scott Lucia, Larry Goldenberg, Septimiu E. Salcudean, Parvin Mousavi, and Purang Abolmaesumi "Tissue mimicking simulations for temporal enhanced ultrasound-based tissue typing", Proc. SPIE 10139, Medical Imaging 2017: Ultrasonic Imaging and Tomography, 101390D (13 March 2017); https://doi.org/10.1117/12.2255540

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