Ultrasonography System Aided by Fuzzy Logic for Identifying Implant Position in Bone
Summary :
We describe a new ultrasonography system, which can identify an implant position in bone. Although conventional X-ray fluoroscopy can visualize implants, it has the serious disadvantage of X-ray exposure. Therefore, we developed a system for orthopedic surgery that involves no X-ray exposure. Barriers to the development of the system were overcome using an ultrasonic instrument and fuzzy logic techniques. We located distal transverse screw holes in an intramedullary nail during surgery for femur fracture. The screw hole positions are identified by calculating two fuzzy degrees of intensity and the variance. Results allow this system to identify the screw hole positions within an error of 1.43 mm, an error ratio adequate for clinical surgical practice.
- Publication
- IEICE TRANSACTIONS on Information Vol.E90-D No.12 pp.1990-1997
- Publication Date
- 2007/12/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1093/ietisy/e90-d.12.1990
- Type of Manuscript
- PAPER
- Category
- Computation and Computational Models
Authors
Keyword
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Maki ENDO, Kouki NAGAMUNE, Nao SHIBANUMA, Syoji KOBASHI, Katsuya KONDO, Yutaka HATA, "Ultrasonography System Aided by Fuzzy Logic for Identifying Implant Position in Bone" in IEICE TRANSACTIONS on Information,
vol. E90-D, no. 12, pp. 1990-1997, December 2007, doi: 10.1093/ietisy/e90-d.12.1990.
Abstract: We describe a new ultrasonography system, which can identify an implant position in bone. Although conventional X-ray fluoroscopy can visualize implants, it has the serious disadvantage of X-ray exposure. Therefore, we developed a system for orthopedic surgery that involves no X-ray exposure. Barriers to the development of the system were overcome using an ultrasonic instrument and fuzzy logic techniques. We located distal transverse screw holes in an intramedullary nail during surgery for femur fracture. The screw hole positions are identified by calculating two fuzzy degrees of intensity and the variance. Results allow this system to identify the screw hole positions within an error of 1.43 mm, an error ratio adequate for clinical surgical practice.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e90-d.12.1990/_p
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@ARTICLE{e90-d_12_1990,
author={Maki ENDO, Kouki NAGAMUNE, Nao SHIBANUMA, Syoji KOBASHI, Katsuya KONDO, Yutaka HATA, },
journal={IEICE TRANSACTIONS on Information},
title={Ultrasonography System Aided by Fuzzy Logic for Identifying Implant Position in Bone},
year={2007},
volume={E90-D},
number={12},
pages={1990-1997},
abstract={We describe a new ultrasonography system, which can identify an implant position in bone. Although conventional X-ray fluoroscopy can visualize implants, it has the serious disadvantage of X-ray exposure. Therefore, we developed a system for orthopedic surgery that involves no X-ray exposure. Barriers to the development of the system were overcome using an ultrasonic instrument and fuzzy logic techniques. We located distal transverse screw holes in an intramedullary nail during surgery for femur fracture. The screw hole positions are identified by calculating two fuzzy degrees of intensity and the variance. Results allow this system to identify the screw hole positions within an error of 1.43 mm, an error ratio adequate for clinical surgical practice.},
keywords={},
doi={10.1093/ietisy/e90-d.12.1990},
ISSN={1745-1361},
month={December},}
Copy
TY - JOUR
TI - Ultrasonography System Aided by Fuzzy Logic for Identifying Implant Position in Bone
T2 - IEICE TRANSACTIONS on Information
SP - 1990
EP - 1997
AU - Maki ENDO
AU - Kouki NAGAMUNE
AU - Nao SHIBANUMA
AU - Syoji KOBASHI
AU - Katsuya KONDO
AU - Yutaka HATA
PY - 2007
DO - 10.1093/ietisy/e90-d.12.1990
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E90-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 2007
AB - We describe a new ultrasonography system, which can identify an implant position in bone. Although conventional X-ray fluoroscopy can visualize implants, it has the serious disadvantage of X-ray exposure. Therefore, we developed a system for orthopedic surgery that involves no X-ray exposure. Barriers to the development of the system were overcome using an ultrasonic instrument and fuzzy logic techniques. We located distal transverse screw holes in an intramedullary nail during surgery for femur fracture. The screw hole positions are identified by calculating two fuzzy degrees of intensity and the variance. Results allow this system to identify the screw hole positions within an error of 1.43 mm, an error ratio adequate for clinical surgical practice.
ER -
English
