Literature DB >> 17290431

Can magnetic resonance imaging-derived bone models be used for accurate motion measurement with single-plane three-dimensional shape registration?

Taka-aki Moro-oka1, Satoshi Hamai, Hiromasa Miura, Takeshi Shimoto, Hidehiko Higaki, Benjamin J Fregly, Yukihide Iwamoto, Scott A Banks.   

Abstract

The purpose of this study was to compare three-dimensional (3D) kinematic measurements from single-plane radiographic projections using bone models created from magnetic resonance imaging (MRI) and computed tomography (CT). MRI is attractive because there is no ionizing radiation, but geometric field distortion and poor bone contrast degrade model fidelity compared to CT. We created knee bone models of three healthy volunteers from both MRI and CT and performed three quantitative comparisons. First, differences between MRI- and CT-derived bone model surfaces were measured. Second, shape matching motion measurements were done with bone models for X-ray image sequences of a squat activity. Third, synthetic X-ray images in known poses were created and shape matching was again performed. Differences in kinematic results were quantified in terms of root mean square (RMS) error. Mean differences between CT and MRI model surfaces for the femur and tibia were -0.08 mm and -0.14 mm, respectively. There were significant differences in three of six kinematic parameters comparing matching results from MRI-derived bone models and CT-derived bone models. RMS errors for tibiofemoral poses averaged 0.74 mm for sagittal translations, 2.0 mm for mediolateral translations, and 1.4 degrees for all rotations with MRI models. Average RMS errors were 0.53 mm for sagittal translations, 1.6 mm for mediolateral translations, and 0.54 degrees for all rotations with the CT models. Single-plane X-ray imaging with model-based shape matching provides kinematic measurements with sufficient accuracy to assess knee motions using either MRI- or CT-derived bone models. However, extra care should be taken when using MRI-derived bone models because model inaccuracies will affect the quality of the shape matching results. Copyright (c) 2007 Orthopaedic Research Society.

Mesh:

Year:  2007        PMID: 17290431     DOI: 10.1002/jor.20355

Source DB:  PubMed          Journal:  J Orthop Res        ISSN: 0736-0266            Impact factor:   3.494


  38 in total

1.  Three-dimensional motion study of femur, tibia, and patella at the knee joint from bi-plane fluoroscopy and CT images.

Authors:  Takashi Ohnishi; Masahiko Suzuki; Atsushi Nawata; Shinji Naomoto; Tetsuji Iwasaki; Hideaki Haneishi
Journal:  Radiol Phys Technol       Date:  2010-04-03

2.  Measurement of an intact knee kinematics using gait and fluoroscopic analysis.

Authors:  Amir Hossein Saveh; Hamid Reza Katouzian; Mahmoud Chizari
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2010-06-19       Impact factor: 4.342

3.  Physiological sagittal plane patellar kinematics during dynamic deep knee flexion.

Authors:  Satoshi Hamai; Nicholas J Dunbar; Taka-aki Moro-oka; Hiromasa Miura; Yukihide Iwamoto; Scott A Banks
Journal:  Int Orthop       Date:  2013-06-19       Impact factor: 3.075

4.  In Vivo Kinematics of the Anterior Cruciate Ligament Deficient Knee During Wide-Based Squat Using a 2D/3D Registration Technique.

Authors:  Takeshi Miyaji; Kazuyoshi Gamada; Kenichi Kidera; Futoshi Ikuta; Kei Yoneta; Hiroyuki Shindo; Makoto Osaki; Akihiko Yonekura
Journal:  J Sports Sci Med       Date:  2012-12-01       Impact factor: 2.988

5.  Evaluation of automated statistical shape model based knee kinematics from biplane fluoroscopy.

Authors:  Nora Baka; Bart L Kaptein; J Erik Giphart; Marius Staring; Marleen de Bruijne; Boudewijn P F Lelieveldt; Edward Valstar
Journal:  J Biomech       Date:  2013-10-09       Impact factor: 2.712

6.  Kinematics of monoblock bicompartmental knee arthroplasty during weight-bearing activities.

Authors:  Brian H Park; Jorg Leffler; Alois Franz; Nicholas J Dunbar; Scott A Banks
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2014-11-21       Impact factor: 4.342

7.  In vitro quantification of the performance of model-based mono-planar and bi-planar fluoroscopy for 3D joint kinematics estimation.

Authors:  Luca Tersi; Arnaud Barré; Silvia Fantozzi; Rita Stagni
Journal:  Med Biol Eng Comput       Date:  2012-11-11       Impact factor: 2.602

8.  Robust 2D/3D registration for fast-flexion motion of the knee joint using hybrid optimization.

Authors:  Takashi Ohnishi; Masahiko Suzuki; Tatsuya Kobayashi; Shinji Naomoto; Tomoyuki Sukegawa; Atsushi Nawata; Hideaki Haneishi
Journal:  Radiol Phys Technol       Date:  2012-11-09

Review 9.  Subject-specific analysis of joint contact mechanics: application to the study of osteoarthritis and surgical planning.

Authors:  Corinne R Henak; Andrew E Anderson; Jeffrey A Weiss
Journal:  J Biomech Eng       Date:  2013-02       Impact factor: 2.097

10.  Evaluation of three-dimensional in vivo scapular kinematics and scapulohumeral rhythm between shoulders with a clavicle hook plate and contralateral healthy shoulders.

Authors:  HoeJeong Chung; DooSup Kim; Scott A Banks; JongSang Son; YoungHo Kim; MyoungGi On; JunSeop Yeom
Journal:  Int Orthop       Date:  2018-06-08       Impact factor: 3.075

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