A Kalman-Filter-Based Common Algorithm Approach for Object Detection in Surgery Scene to Assist Surgeon’s Situation Awareness in Robot-Assisted Laparoscopic Surgery
Joint Authors
Choi, Jaesoon
Moon, Youngjin
Ryu, Jiwon
Kim, Hee Chan
Source
Journal of Healthcare Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-05-02
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Although the use of the surgical robot is rapidly expanding for various medical treatments, there still exist safety issues and concerns about robot-assisted surgeries due to limited vision through a laparoscope, which may cause compromised situation awareness and surgical errors requiring rapid emergency conversion to open surgery.
To assist surgeon’s situation awareness and preventive emergency response, this study proposes situation information guidance through a vision-based common algorithm architecture for automatic detection and tracking of intraoperative hemorrhage and surgical instruments.
The proposed common architecture comprises the location of the object of interest using feature texture, morphological information, and the tracking of the object based on Kalman filter for robustness with reduced error.
The average recall and precision of the instrument detection in four prostate surgery videos were 96% and 86%, and the accuracy of the hemorrhage detection in two prostate surgery videos was 98%.
Results demonstrate the robustness of the automatic intraoperative object detection and tracking which can be used to enhance the surgeon’s preventive state recognition during robot-assisted surgery.
American Psychological Association (APA)
Ryu, Jiwon& Moon, Youngjin& Choi, Jaesoon& Kim, Hee Chan. 2018. A Kalman-Filter-Based Common Algorithm Approach for Object Detection in Surgery Scene to Assist Surgeon’s Situation Awareness in Robot-Assisted Laparoscopic Surgery. Journal of Healthcare Engineering،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1187705
Modern Language Association (MLA)
Ryu, Jiwon…[et al.]. A Kalman-Filter-Based Common Algorithm Approach for Object Detection in Surgery Scene to Assist Surgeon’s Situation Awareness in Robot-Assisted Laparoscopic Surgery. Journal of Healthcare Engineering No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1187705
American Medical Association (AMA)
Ryu, Jiwon& Moon, Youngjin& Choi, Jaesoon& Kim, Hee Chan. A Kalman-Filter-Based Common Algorithm Approach for Object Detection in Surgery Scene to Assist Surgeon’s Situation Awareness in Robot-Assisted Laparoscopic Surgery. Journal of Healthcare Engineering. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1187705
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1187705