Literature DB >> 23851657

Three-dimensional reconstruction of subject-specific knee joint using computed tomography and magnetic resonance imaging image data fusions.

Yuefu Dong1, Zhifang Mou, Zhenyu Huang, Guanghong Hu, Yinghai Dong, Qingrong Xu.   

Abstract

Three-dimensional reconstruction of human body from a living subject can be considered as the first step toward promoting virtual human project as a tool in clinical applications. This study proposes a detailed protocol for building subject-specific three-dimensional model of knee joint from a living subject. The computed tomography and magnetic resonance imaging image data of knee joint were used to reconstruct knee structures, including bones, skin, muscles, cartilages, menisci, and ligaments. They were fused to assemble the complete three-dimensional knee joint. The procedure was repeated three times with respect to three different methods of reference landmarks. The accuracy of image fusion in accordance with different landmarks was evaluated and compared with each other. The complete three-dimensional knee joint, which included 21 knee structures, was accurately developed. The choice of external or anatomical landmarks was not crucial to improve image fusion accuracy for three-dimensional reconstruction. Further work needs to be done to explore the value of the reconstructed three-dimensional knee joint for its biomechanics and kinematics.

Entities:  

Keywords:  Computed tomography; image fusion; knee joint; magnetic resonance imaging; three-dimensional reconstruction

Mesh:

Year:  2013        PMID: 23851657     DOI: 10.1177/0954411913493723

Source DB:  PubMed          Journal:  Proc Inst Mech Eng H        ISSN: 0954-4119            Impact factor:   1.617


  2 in total

1.  In-vivo three-dimensional MR imaging of the intact anterior cruciate ligament shows a variable insertion pattern of the femoral and tibial footprints.

Authors:  S U Scheffler; K Maschewski; R Becker; P Asbach
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2018-05-04       Impact factor: 4.342

2.  Automatic detection of attachment sites for knee ligaments and tendons on CT images.

Authors:  Alexandra Yurova; Victoria Salamatova; Alexey Lychagin; Yuri Vassilevski
Journal:  Int J Comput Assist Radiol Surg       Date:  2021-11-13       Impact factor: 2.924

  2 in total

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