Automatic bone fracture reduction by fracture contact surface identification and registration

Achia Kronman; Leo Joskowicz

doi:10.1109/ISBI.2013.6556458

Automatic bone fracture reduction by fracture contact surface identification and registration

Achia Kronman, Leo Joskowicz

The Rachel and Selim Benin School of Engineering and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

16 Scopus citations

Abstract

Bone fracture reduction is an essential step in the treatment of orthopedic fractures. It consists of determining the position and orientation of the fractured bone fragments for their fixation with implants. This paper presents a new method for the automatic reduction of fractured bone models derived from CT scans. The method identifies the bones fracture contact surface pairs based on the fragments surfaces maximum principal curvature and their intensity profiles in the CT scan. It then aligns the two fracture surfaces by rigid registration, thereby obtaining a virtual bone fracture reduction. An experimental evaluation of 192 simulated femoral fractures derived from four clinical CT scans yielded a mean target registration error of 1.8mm (std=1.1mm).

Original language	English
Title of host publication	ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging
Subtitle of host publication	From Nano to Macro
Pages	246-249
Number of pages	4
DOIs	https://doi.org/10.1109/ISBI.2013.6556458
State	Published - 2013
Event	2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013 - San Francisco, CA, United States Duration: 7 Apr 2013 → 11 Apr 2013

Publication series

Name	Proceedings - International Symposium on Biomedical Imaging
ISSN (Print)	1945-7928
ISSN (Electronic)	1945-8452

Conference

Conference	2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013
Country/Territory	United States
City	San Francisco, CA
Period	7/04/13 → 11/04/13

Keywords

Bones fracture reduction
computer-aided orthopedic surgery
fracture surface alignment
registration

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10.1109/ISBI.2013.6556458

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title = "Automatic bone fracture reduction by fracture contact surface identification and registration",

abstract = "Bone fracture reduction is an essential step in the treatment of orthopedic fractures. It consists of determining the position and orientation of the fractured bone fragments for their fixation with implants. This paper presents a new method for the automatic reduction of fractured bone models derived from CT scans. The method identifies the bones fracture contact surface pairs based on the fragments surfaces maximum principal curvature and their intensity profiles in the CT scan. It then aligns the two fracture surfaces by rigid registration, thereby obtaining a virtual bone fracture reduction. An experimental evaluation of 192 simulated femoral fractures derived from four clinical CT scans yielded a mean target registration error of 1.8mm (std=1.1mm).",

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Kronman, A & Joskowicz, L 2013, Automatic bone fracture reduction by fracture contact surface identification and registration. in ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro., 6556458, Proceedings - International Symposium on Biomedical Imaging, pp. 246-249, 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013, San Francisco, CA, United States, 7/04/13. https://doi.org/10.1109/ISBI.2013.6556458

Automatic bone fracture reduction by fracture contact surface identification and registration. / Kronman, Achia; Joskowicz, Leo.
ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro. 2013. p. 246-249 6556458 (Proceedings - International Symposium on Biomedical Imaging).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Bone fracture reduction is an essential step in the treatment of orthopedic fractures. It consists of determining the position and orientation of the fractured bone fragments for their fixation with implants. This paper presents a new method for the automatic reduction of fractured bone models derived from CT scans. The method identifies the bones fracture contact surface pairs based on the fragments surfaces maximum principal curvature and their intensity profiles in the CT scan. It then aligns the two fracture surfaces by rigid registration, thereby obtaining a virtual bone fracture reduction. An experimental evaluation of 192 simulated femoral fractures derived from four clinical CT scans yielded a mean target registration error of 1.8mm (std=1.1mm).

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Automatic bone fracture reduction by fracture contact surface identification and registration

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Keywords

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