TY - GEN
T1 - MRI/TRUS-Guided Auxiliary System for Transperineal Prostate Biopsy Based on Deep Learning
AU - Wang, Bo
AU - Yu, Liang
AU - Pan, Zheng
AU - Ni, Hang
AU - Lin, Zhaopeng
AU - Fan, Yi
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Prostate cancer is prevalent cancer worldwide, ranking fourth in frequency. A systematic biopsy can significantly increase a patient's 5-year survival rate. However, accurate and effective biopsy based on pre-biopsy magnetic resonance imaging (MRI) and hand-held transrectal ultrasound (TRUS) is reliant on the operator's expertise. This paper presents a novel MRI/TRUS auxiliary system based on the deep learning method for prostate intervention, including the system architecture and workflow. The system comprises a preprocessing unit, a registration unit, and a navigation unit. The nnU-net is utilized to generate segmentation labels for the prostate and surrounding organs. The DeepReg network is used in the registration unit to fuse real-time TRUS and pre-biopsy MRI. The navigation unit provides reference insertion positions and alerts the operator of potential collisions and damage to nearby organs. The experimental results, based on data from both the TCIA and hospitals, demonstrate the effectiveness and feasibility of the auxiliary system.
AB - Prostate cancer is prevalent cancer worldwide, ranking fourth in frequency. A systematic biopsy can significantly increase a patient's 5-year survival rate. However, accurate and effective biopsy based on pre-biopsy magnetic resonance imaging (MRI) and hand-held transrectal ultrasound (TRUS) is reliant on the operator's expertise. This paper presents a novel MRI/TRUS auxiliary system based on the deep learning method for prostate intervention, including the system architecture and workflow. The system comprises a preprocessing unit, a registration unit, and a navigation unit. The nnU-net is utilized to generate segmentation labels for the prostate and surrounding organs. The DeepReg network is used in the registration unit to fuse real-time TRUS and pre-biopsy MRI. The navigation unit provides reference insertion positions and alerts the operator of potential collisions and damage to nearby organs. The experimental results, based on data from both the TCIA and hospitals, demonstrate the effectiveness and feasibility of the auxiliary system.
KW - biopsy auxiliary system
KW - deep learning
KW - image recognition
KW - MRI/TRUS registration
KW - prostate biopsy
UR - http://www.scopus.com/inward/record.url?scp=85184800490&partnerID=8YFLogxK
U2 - 10.1109/ICICSP59554.2023.10390795
DO - 10.1109/ICICSP59554.2023.10390795
M3 - 会议稿件
AN - SCOPUS:85184800490
T3 - 2023 6th International Conference on Information Communication and Signal Processing, ICICSP 2023
SP - 914
EP - 921
BT - 2023 6th International Conference on Information Communication and Signal Processing, ICICSP 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on Information Communication and Signal Processing, ICICSP 2023
Y2 - 23 September 2023 through 25 September 2023
ER -
