Computer-aided planning of patellofemoral joint OA surgery: Developing physical models from patient MRI

Cohen, Zohara A.; McCarthy, Denise M.; Roglic, Hrvoje; Henry, Jack; Rodkey, William G.; Steadman, J. Richard; Mow, Van C.; Ateshian, Gerard A.

doi:10.1007/bfb0056183

Cited by 9 publications

(3 citation statements)

References 44 publications

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“…For instance, a three-dimensional (3D) surface reconstruction of a limb in one joint configuration can be animated by characterizing the geometric relationships between the muscles and bones, specifying the joint kinematics, and defining how the muscletendon paths change with joint rotation. Murray et al 29 (elbow joint), Cohen et al 10 (patellofemoral joint), and others 7,9 have demonstrated the feasibility of this approach, though only Murray et al have reported the accuracy of the muscle moment arms estimated with their MRI-based kinematic model.…”

Section: Introductionmentioning

confidence: 99%

Accuracy of muscle moment arms estimated from MRI-based musculoskeletal models of the lower extremity

Arnold

Salinas

Asakawa

et al. 2000

Comput. Aided Surg.

113

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Objective: Biomechanical models that compute the lengths and moment arms of soft tissues are broadly applicable to the treatment of movement abnormalities and the planning of orthopaedic surgical procedures. The goals of this study were to: (i) develop methods to construct subject-specific biomechanical models from magnetic resonance (MR) images, (ii) create models of three lower-extremity cadaveric specimens, and (iii) quantify the accuracy of muscle-tendon lengths and moment arms estimated using these models.Materials and Methods: Models describing the paths of the medial hamstrings and psoas muscles for a wide range of body positions were developed from MR images in one joint configuration by defining kinematic models of the hip and knee, and by specifying "wrapping surfaces" that simulate interactions between the muscles and underlying structures. Our methods for constructing these models were evaluated by comparing hip and knee flexion moment a r m s estimated from models of three specimens to the moment arms determined experimentally on the same specimens. Because a muscle's moment arm determines its change in length with joint rotation, these comparisons also tested the accuracy with which the models could estimate muscle-tendon lengths over a range of hip and knee motions.Results: Errors in the moment a r m s calculated with the models, averaged over functional ranges of hip and knee flexion, were less than 4 mm (within 10% of experimental values).Conclusion: The combination of MR imaging and graphics-based musculoskeletal modeling provides an accurate and efficient means of estimating muscle-tendon lengths and moment arms in vivo. Comp Aid Surg 5:108-119 (2000). OZOOO Wiiey-Liss, Inc.

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Section: Introductionmentioning

confidence: 99%

Accuracy of muscle moment arms estimated from MRI-based musculoskeletal models of the lower extremity

Arnold

Salinas

Asakawa

et al. 2000

Comput. Aided Surg.

113

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“…This procedure was followed to determine the correct kinematic position in which to place the higher-resolution subchondral bone and cartilage surfaces acquired from the first sequence. 12…”

Section: Acquisition Of Patient Datamentioning

confidence: 99%

Computer Simulations of Patellofemoral Joint Surgery

et al. 2003

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“…Previous research [12][13][14] has proven the potential to build accurate personalized models using magnetic resonance (MR) images. However, those methods are labor intensive and time consuming [11] since they rely on manual segmentation of the various muscles and bone structures of interest in the medical images.…”

Section: Introductionmentioning

confidence: 99%

Image based methods to generate subject-specific musculoskeletal models for gait analysis

Scheys

Jonkers

Schutyser³

et al. 2005

International Congress Series

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Abstract. This paper describes a workflow, designed to build detailed, subject-specific musculoskeletal models using magnetic resonance (MR) images. Integration of semi-automated methods for segmentation of the bone reduced considerably the processing time. Furthermore, enhanced model quality was achieved compared to pure manual segmentation techniques. Two different semi-automated segmentation methods were tested and compared. The workflow was successfully applied to MR images of the lower extremity of a non-pathological adult subject: the femur, tibia and fibula were segmented along with lines of action of 25 muscles. D

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Computer-aided planning of patellofemoral joint OA surgery: Developing physical models from patient MRI

Cited by 9 publications

References 44 publications

Accuracy of muscle moment arms estimated from MRI-based musculoskeletal models of the lower extremity

Accuracy of muscle moment arms estimated from MRI-based musculoskeletal models of the lower extremity

Computer Simulations of Patellofemoral Joint Surgery

Image based methods to generate subject-specific musculoskeletal models for gait analysis

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