NDLI: Dense femur reconstruction from two x-ray images using generic 3D model with twist correction

Content Provider	IEEE Xplore Digital Library
Author	Ki-jung Kim Seungkyu Lee Yoon Hyuk Kim
Copyright Year	2015
Description	Author affiliation: Dept. of Comput. Eng., Kyung Hee Univ., Yongin, South Korea (Ki-jung Kim; Seungkyu Lee) \|\| Dept. of Mech. Eng., Kyung Hee Univ., Yongin, South Korea (Yoon Hyuk Kim)
Abstract	Femur 3D reconstruction from x-ray images enables cost-effective and precise diagnosis of disease and surgery guidance. However, reconstructing accurate 3D model from sparse x-ray images are not a trivial task. In this paper, we propose a femur 3D reconstruction method from two x-ray images. We incorporate prior knowledge on the femur deformation such as twist distortion to improve reconstruction accuracy. We deform our generic 3D model optimizing global registration and twist correction parameters simultaneously. And then, non-rigid deformation is performed constructing dense 3d femur model of a patient. We have tested our method on real x-ray images and synthesized 3d femur models for quantitative and qualitative evaluations.
Starting Page	3645
Ending Page	3649
File Size	2545556
Page Count	5
File Format	PDF
e-ISBN	9781479983391
DOI	10.1109/ICIP.2015.7351484
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-27
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Three-dimensional displays X-ray imaging Solid modeling Image reconstruction Distortion Deformable models Image segmentation medical 3D reconstruction x-ray twist generic 3d model femur
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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