The Experts below are selected from a list of 340680 Experts worldwide ranked by ideXlab platform
Hubertus Feussner - One of the best experts on this subject based on the ideXlab platform.
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real time Instrument detection in minimally invasive surgery using radiofrequency identification technology
Journal of Surgical Research, 2013Co-Authors: Michael Kranzfelder, A Fiolka, Elena Schwan, Rebecca Schirren, Silvano B Reiser, Brian Jensen, Armin Schneider, Sonja Gillen, Dirk Wilhelm, Hubertus FeussnerAbstract:Background: A key part of surgical workflow recording is recognition of the Instrument in use. We present a radiofrequency identification (RFID)-based approach for Real-Time tracking of laparoscopic Instruments. Methods: The system consists of RFID-tagged Instruments and an antenna unit positioned on the Mayo stand. For reliability analysis, RFID tracking data were compared with the assessment of the perioperative video data of Instrument changes (the reference standard for Instrument application detection) in 10 laparoscopic cholecystectomies. When the tagged Instrument was on the Mayo stand, it was referred to as “not in use.” Once it was handed to the surgeon, it was considered to be “in use.” Temporal miscounts (incorrect number of Instruments “in use”) were analyzed. The surgeons and scrub nurses completed a questionnaire after each operation for individual system evaluation. Results: A total of 110 distinct Instrument applications (“in use” versus “not in use”) were eligible for analysis. No RFID tag failure occurred. The RFID detection rates were consistent with the period of effective Instrument application. The delay in Instrument detection was 4.2 � 1.7 s. The highest percentage of temporal miscounts occurred during phases with continuous application of coagulation current. Surgeons generally rated the system better than the scrub nurses (P ¼ 0.54). Conclusions: The feasibility of RFID-based Real-Time Instrument detection was successfully proved in our study, with reliable detection results during laparoscopic cholecystectomy. Thus, RFID technology has the potential to be a valuable additional tool for surgical workflow recognition that could enable a situation dependent assistance of the surgeon in the future.
Hongliang Ren - One of the best experts on this subject based on the ideXlab platform.
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ap mtl attention pruned multi task learning model for real time Instrument detection and segmentation in robot assisted surgery
International Conference on Robotics and Automation, 2020Co-Authors: Mobarakol Islam, V S Vibashan, Hongliang RenAbstract:Surgical scene understanding and multi-tasking learning are crucial for image-guided robotic surgery. Training a Real-Time robotic system for the detection and segmentation of high-resolution images provides a challenging problem with the limited computational resource. The perception drawn can be applied in effective Real-Time feedback, surgical skill assessment, and human-robot collaborative surgeries to enhance surgical outcomes. For this purpose, we develop a novel end-to-end trainable Real-Time Multi-Task Learning (MTL) model with weight-shared encoder and task-aware detection and segmentation decoders. Optimization of multiple tasks at the same convergence point is vital and presents a complex problem. Thus, we propose an asynchronous task-aware optimization (ATO) technique to calculate task-oriented gradients and train the decoders independently. Moreover, MTL models are always computationally expensive, which hinder Real-Time applications. To address this challenge, we introduce a global attention dynamic pruning (GADP) by removing less significant and sparse parameters. We further design a skip squeeze and excitation (SE) module, which suppresses weak features, excites significant features and performs dynamic spatial and channelwise feature re-calibration. Validating on the robotic Instrument segmentation dataset of MICCAI endoscopic vision challenge, our model significantly outperforms state-of-the-art segmentation and detection models, including best-performed models in the challenge.
Michael Kranzfelder - One of the best experts on this subject based on the ideXlab platform.
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real time Instrument detection in minimally invasive surgery using radiofrequency identification technology
Journal of Surgical Research, 2013Co-Authors: Michael Kranzfelder, A Fiolka, Elena Schwan, Rebecca Schirren, Silvano B Reiser, Brian Jensen, Armin Schneider, Sonja Gillen, Dirk Wilhelm, Hubertus FeussnerAbstract:Background: A key part of surgical workflow recording is recognition of the Instrument in use. We present a radiofrequency identification (RFID)-based approach for Real-Time tracking of laparoscopic Instruments. Methods: The system consists of RFID-tagged Instruments and an antenna unit positioned on the Mayo stand. For reliability analysis, RFID tracking data were compared with the assessment of the perioperative video data of Instrument changes (the reference standard for Instrument application detection) in 10 laparoscopic cholecystectomies. When the tagged Instrument was on the Mayo stand, it was referred to as “not in use.” Once it was handed to the surgeon, it was considered to be “in use.” Temporal miscounts (incorrect number of Instruments “in use”) were analyzed. The surgeons and scrub nurses completed a questionnaire after each operation for individual system evaluation. Results: A total of 110 distinct Instrument applications (“in use” versus “not in use”) were eligible for analysis. No RFID tag failure occurred. The RFID detection rates were consistent with the period of effective Instrument application. The delay in Instrument detection was 4.2 � 1.7 s. The highest percentage of temporal miscounts occurred during phases with continuous application of coagulation current. Surgeons generally rated the system better than the scrub nurses (P ¼ 0.54). Conclusions: The feasibility of RFID-based Real-Time Instrument detection was successfully proved in our study, with reliable detection results during laparoscopic cholecystectomy. Thus, RFID technology has the potential to be a valuable additional tool for surgical workflow recognition that could enable a situation dependent assistance of the surgeon in the future.
Dirk Wilhelm - One of the best experts on this subject based on the ideXlab platform.
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real time Instrument detection in minimally invasive surgery using radiofrequency identification technology
Journal of Surgical Research, 2013Co-Authors: Michael Kranzfelder, A Fiolka, Elena Schwan, Rebecca Schirren, Silvano B Reiser, Brian Jensen, Armin Schneider, Sonja Gillen, Dirk Wilhelm, Hubertus FeussnerAbstract:Background: A key part of surgical workflow recording is recognition of the Instrument in use. We present a radiofrequency identification (RFID)-based approach for Real-Time tracking of laparoscopic Instruments. Methods: The system consists of RFID-tagged Instruments and an antenna unit positioned on the Mayo stand. For reliability analysis, RFID tracking data were compared with the assessment of the perioperative video data of Instrument changes (the reference standard for Instrument application detection) in 10 laparoscopic cholecystectomies. When the tagged Instrument was on the Mayo stand, it was referred to as “not in use.” Once it was handed to the surgeon, it was considered to be “in use.” Temporal miscounts (incorrect number of Instruments “in use”) were analyzed. The surgeons and scrub nurses completed a questionnaire after each operation for individual system evaluation. Results: A total of 110 distinct Instrument applications (“in use” versus “not in use”) were eligible for analysis. No RFID tag failure occurred. The RFID detection rates were consistent with the period of effective Instrument application. The delay in Instrument detection was 4.2 � 1.7 s. The highest percentage of temporal miscounts occurred during phases with continuous application of coagulation current. Surgeons generally rated the system better than the scrub nurses (P ¼ 0.54). Conclusions: The feasibility of RFID-based Real-Time Instrument detection was successfully proved in our study, with reliable detection results during laparoscopic cholecystectomy. Thus, RFID technology has the potential to be a valuable additional tool for surgical workflow recognition that could enable a situation dependent assistance of the surgeon in the future.
A Fiolka - One of the best experts on this subject based on the ideXlab platform.
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real time Instrument detection in minimally invasive surgery using radiofrequency identification technology
Journal of Surgical Research, 2013Co-Authors: Michael Kranzfelder, A Fiolka, Elena Schwan, Rebecca Schirren, Silvano B Reiser, Brian Jensen, Armin Schneider, Sonja Gillen, Dirk Wilhelm, Hubertus FeussnerAbstract:Background: A key part of surgical workflow recording is recognition of the Instrument in use. We present a radiofrequency identification (RFID)-based approach for Real-Time tracking of laparoscopic Instruments. Methods: The system consists of RFID-tagged Instruments and an antenna unit positioned on the Mayo stand. For reliability analysis, RFID tracking data were compared with the assessment of the perioperative video data of Instrument changes (the reference standard for Instrument application detection) in 10 laparoscopic cholecystectomies. When the tagged Instrument was on the Mayo stand, it was referred to as “not in use.” Once it was handed to the surgeon, it was considered to be “in use.” Temporal miscounts (incorrect number of Instruments “in use”) were analyzed. The surgeons and scrub nurses completed a questionnaire after each operation for individual system evaluation. Results: A total of 110 distinct Instrument applications (“in use” versus “not in use”) were eligible for analysis. No RFID tag failure occurred. The RFID detection rates were consistent with the period of effective Instrument application. The delay in Instrument detection was 4.2 � 1.7 s. The highest percentage of temporal miscounts occurred during phases with continuous application of coagulation current. Surgeons generally rated the system better than the scrub nurses (P ¼ 0.54). Conclusions: The feasibility of RFID-based Real-Time Instrument detection was successfully proved in our study, with reliable detection results during laparoscopic cholecystectomy. Thus, RFID technology has the potential to be a valuable additional tool for surgical workflow recognition that could enable a situation dependent assistance of the surgeon in the future.
