TY - GEN
T1 - Deep Learning-based 3D Beamforming on a 2D Row Column Addressing (RCA) Array for 3D Super-resolution Ultrasound Localization Microscopy
AU - Kim, Jihun
AU - Dong, Zhijie
AU - Lowerison, Matthew R.
AU - Sekaran, Nathiya V.Chandra
AU - You, Qi
AU - Llano, Daniel A.
AU - Song, Pengfei
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - 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.
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.
KW - 3D ULM
KW - RCA array
KW - deep learning-based beamforming
KW - super-resolution ultrasound imaging
UR - http://www.scopus.com/inward/record.url?scp=85143816546&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85143816546&partnerID=8YFLogxK
U2 - 10.1109/IUS54386.2022.9958375
DO - 10.1109/IUS54386.2022.9958375
M3 - Conference contribution
AN - SCOPUS:85143816546
T3 - IEEE International Ultrasonics Symposium, IUS
BT - IUS 2022 - IEEE International Ultrasonics Symposium
PB - IEEE Computer Society
T2 - 2022 IEEE International Ultrasonics Symposium, IUS 2022
Y2 - 10 October 2022 through 13 October 2022
ER -