Deep Learning-based 3D Beamforming on a 2D Row Column Addressing (RCA) Array for 3D Super-resolution Ultrasound Localization Microscopy

Jihun Kim; Zhijie Dong; Matthew R. Lowerison; Nathiya V.Chandra Sekaran; Qi You; Daniel A. Llano; Pengfei Song

doi:10.1109/IUS54386.2022.9958375

Deep Learning-based 3D Beamforming on a 2D Row Column Addressing (RCA) Array for 3D Super-resolution Ultrasound Localization Microscopy

Jihun Kim, Zhijie Dong, Matthew R. Lowerison, Nathiya V.Chandra Sekaran, Qi You, Daniel A. Llano, Pengfei Song

Radiology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We report 3D ULM imaging by using a 2D row-column addressing (RCA) array which achieves fast imaging volume rate. Furthermore, we propose a deep-learning (DL)-based adaptive beamforming method to improve the spatial resolution and contrast of the microbubble (MB) signal imaged by the RCA array. We evaluated the proposed technique on a wire phantom and MBs suspended in water. Moreover, we carried out an in vivo study on a mouse brain and demonstrated improved 3D ULM imaging based on the DL-beamformer. These results demonstrate that DL-based beamforming provides a viable solution for enhancing the RCA imaging quality for robust ULM.

Original language	English (US)
Title of host publication	IUS 2022 - IEEE International Ultrasonics Symposium
Publisher	IEEE Computer Society
ISBN (Electronic)	9781665466578
DOIs	https://doi.org/10.1109/IUS54386.2022.9958375
State	Published - 2022
Event	2022 IEEE International Ultrasonics Symposium, IUS 2022 - Venice, Italy Duration: Oct 10 2022 → Oct 13 2022

Publication series

Name	IEEE International Ultrasonics Symposium, IUS
Volume	2022-October
ISSN (Print)	1948-5719
ISSN (Electronic)	1948-5727

Conference

Conference	2022 IEEE International Ultrasonics Symposium, IUS 2022
Country/Territory	Italy
City	Venice
Period	10/10/22 → 10/13/22

Keywords

3D ULM
RCA array
deep learning-based beamforming
super-resolution ultrasound imaging

ASJC Scopus subject areas

Acoustics and Ultrasonics

Access to Document

10.1109/IUS54386.2022.9958375

Cite this

Kim, J., Dong, Z., Lowerison, M. R., Sekaran, N. V. C., You, Q., Llano, D. A., & Song, P. (2022). Deep Learning-based 3D Beamforming on a 2D Row Column Addressing (RCA) Array for 3D Super-resolution Ultrasound Localization Microscopy. In IUS 2022 - IEEE International Ultrasonics Symposium (IEEE International Ultrasonics Symposium, IUS; Vol. 2022-October). IEEE Computer Society. https://doi.org/10.1109/IUS54386.2022.9958375

Deep Learning-based 3D Beamforming on a 2D Row Column Addressing (RCA) Array for 3D Super-resolution Ultrasound Localization Microscopy. / Kim, Jihun; Dong, Zhijie; Lowerison, Matthew R. et al.
IUS 2022 - IEEE International Ultrasonics Symposium. IEEE Computer Society, 2022. (IEEE International Ultrasonics Symposium, IUS; Vol. 2022-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kim, J, Dong, Z, Lowerison, MR, Sekaran, NVC, You, Q, Llano, DA & Song, P 2022, Deep Learning-based 3D Beamforming on a 2D Row Column Addressing (RCA) Array for 3D Super-resolution Ultrasound Localization Microscopy. in IUS 2022 - IEEE International Ultrasonics Symposium. IEEE International Ultrasonics Symposium, IUS, vol. 2022-October, IEEE Computer Society, 2022 IEEE International Ultrasonics Symposium, IUS 2022, Venice, Italy, 10/10/22. https://doi.org/10.1109/IUS54386.2022.9958375

Kim J, Dong Z, Lowerison MR, Sekaran NVC, You Q, Llano DA et al. Deep Learning-based 3D Beamforming on a 2D Row Column Addressing (RCA) Array for 3D Super-resolution Ultrasound Localization Microscopy. In IUS 2022 - IEEE International Ultrasonics Symposium. IEEE Computer Society. 2022. (IEEE International Ultrasonics Symposium, IUS). doi: 10.1109/IUS54386.2022.9958375

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title = "Deep Learning-based 3D Beamforming on a 2D Row Column Addressing (RCA) Array for 3D Super-resolution Ultrasound Localization Microscopy",

abstract = "We report 3D ULM imaging by using a 2D row-column addressing (RCA) array which achieves fast imaging volume rate. Furthermore, we propose a deep-learning (DL)-based adaptive beamforming method to improve the spatial resolution and contrast of the microbubble (MB) signal imaged by the RCA array. We evaluated the proposed technique on a wire phantom and MBs suspended in water. Moreover, we carried out an in vivo study on a mouse brain and demonstrated improved 3D ULM imaging based on the DL-beamformer. These results demonstrate that DL-based beamforming provides a viable solution for enhancing the RCA imaging quality for robust ULM.",

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author = "Jihun Kim and Zhijie Dong and Lowerison, {Matthew R.} and Sekaran, {Nathiya V.Chandra} and Qi You and Llano, {Daniel A.} and Pengfei Song",

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AB - We report 3D ULM imaging by using a 2D row-column addressing (RCA) array which achieves fast imaging volume rate. Furthermore, we propose a deep-learning (DL)-based adaptive beamforming method to improve the spatial resolution and contrast of the microbubble (MB) signal imaged by the RCA array. We evaluated the proposed technique on a wire phantom and MBs suspended in water. Moreover, we carried out an in vivo study on a mouse brain and demonstrated improved 3D ULM imaging based on the DL-beamformer. These results demonstrate that DL-based beamforming provides a viable solution for enhancing the RCA imaging quality for robust ULM.

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Deep Learning-based 3D Beamforming on a 2D Row Column Addressing (RCA) Array for 3D Super-resolution Ultrasound Localization Microscopy

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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