TY - GEN
T1 - Simulation of manual and automatic navigation of magnetically controlled wireless capsule endoscopy examination of human gastric
AU - Li, Xueshen
AU - Gan, Yu
AU - Duan, David
AU - Yang, Xiao
N1 - Publisher Copyright:
© COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.
PY - 2024
Y1 - 2024
N2 - The magnetically controlled capsule endoscopy (MCCE) is an emerging modality for assessing gastrointestinal disorders due to its advantages. However, current assignments of MCCE rely on manual controlling and gastric landmarks, which are prone to omissions. We improve the scanning protocol of the MCCE in human gastric using both manual and automatic controlling methods. We design a quantitative scanning coverage ratio to measure the process of MCCE scanning within the human gastric. The proposed scanning coverage ratio is capable of guiding the manual and automatic scanning process of human gastric. Moreover, we design a deep reinforcement learning (DRL) controller for automatically navigating the capsule. Our DRL controller achieves a higher coverage ratio compared to previous research.
AB - The magnetically controlled capsule endoscopy (MCCE) is an emerging modality for assessing gastrointestinal disorders due to its advantages. However, current assignments of MCCE rely on manual controlling and gastric landmarks, which are prone to omissions. We improve the scanning protocol of the MCCE in human gastric using both manual and automatic controlling methods. We design a quantitative scanning coverage ratio to measure the process of MCCE scanning within the human gastric. The proposed scanning coverage ratio is capable of guiding the manual and automatic scanning process of human gastric. Moreover, we design a deep reinforcement learning (DRL) controller for automatically navigating the capsule. Our DRL controller achieves a higher coverage ratio compared to previous research.
KW - Deep learning
KW - Human gastric examination
KW - Magnetically controlled capsule endoscopy
KW - Reinforcement learning
UR - http://www.scopus.com/inward/record.url?scp=85190952548&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85190952548&partnerID=8YFLogxK
U2 - 10.1117/12.3003356
DO - 10.1117/12.3003356
M3 - Conference contribution
AN - SCOPUS:85190952548
T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
BT - Endoscopic Microscopy XIX
A2 - Tearney, Guillermo J.
A2 - Wang, Thomas D.
A2 - Suter, Melissa J.
T2 - Endoscopic Microscopy XIX 2024
Y2 - 27 January 2024 through 28 January 2024
ER -