scholarly journals Reconstruction of Three-Dimensional Tibiofemoral Kinematics Using Single-Plane Fluoroscopy and a Personalized Kinematic Model

2021 ◽  
Vol 11 (20) ◽  
pp. 9415
Author(s):  
Cheng-Chung Lin ◽  
Hsuan-Lun Lu ◽  
Tung-Wu Lu ◽  
Chia-Yang Wang ◽  
Jia-Da Li ◽  
...  
Keyword(s):  
Image Registration ◽  
Knee Joint ◽  
Imaging System ◽  
Kinematic Model ◽  
Three Dimensional ◽  
Plane Motion ◽  
Registration Accuracy ◽  
Single Plane ◽  
Model Based ◽  
Tibiofemoral Kinematics

Model-based 3D/2D image registration using single-plane fluoroscopy is a common setup to determine knee joint kinematics, owing to its markerless aspect. However, the approach was subjected to lower accuracies in the determination of out-of-plane motion components. Introducing additional kinematic constraints with an appropriate anatomical representation may help ameliorate the reduced accuracy of single-plane image registration. Therefore, this study aimed to develop and evaluate a multibody model-based tracking (MbMBT) scheme, embedding a personalized kinematic model of the tibiofemoral joint for the measurement of tibiofemoral kinematics. The kinematic model was consisted of three ligaments and an articular contact mechanism. The knee joint activities in six volunteers during isolated knee flexion, lunging, and sit-to-stand motions were recorded with a biplane X-ray imaging system. The tibiofemoral kinematics determined with the MbMBT and mediolateral view fluoroscopic images were compared against those determined using biplane fluoroscopic images. The MbMBT was demonstrated to yield tibiofemoral kinematics with precision values in the range from 0.1 mm to 1.1 mm for translations and from 0.2° to 1.3° for rotations. The constraints provided by the kinematic model were shown to effectively amend the nonphysiological tibiofemoral motion and not compromise the image registration accuracy with the proposed MbMBT scheme.

scholarly journals An Automated Three-Dimensional Bone Pose Tracking Method Using Clinical Interleaved Biplane Fluoroscopy Systems: Application to the Knee

2020 ◽  
Vol 10 (23) ◽  
pp. 8426
Author(s):  
Cheng-Chung Lin ◽  
Tung-Wu Lu ◽  
Jia-Da Li ◽  
Mei-Ying Kuo ◽  
Chien-Chun Kuo ◽  
...  
Keyword(s):  
Imaging System ◽  
Three Dimensional ◽  
Pose Tracking ◽  
Model Based ◽  
X Ray Imaging ◽  
Custom Made ◽  
Optical Motion ◽  
Optical Motion Capture ◽  
Tibiofemoral Kinematics ◽  
Biplane Fluoroscopy

Model-based tracking of the movement of the tibiofemoral joint via a biplane X-ray imaging system has been commonly used to reproduce its accurate, three-dimensional kinematics. To accommodate the approaches to existing clinical asynchronous biplane fluoroscopy systems and achieve comparable accuracy, this study proposed an automated model-based interleaved biplane fluoroscopy image tracking scheme (MIBFT) by incorporating information of adjacent image frames. The MIBFT was evaluated with a cadaveric study conducted on a knee specimen. The MIBFT reproduced skeletal poses and tibiofemoral kinematics that were in good agreement with the standard reference kinematics provided by an optical motion capture system, in which the root-mean-squared (Rms) errors of the skeletal pose parameters ranged from 0.11 to 0.35 mm in translation and 0.18 to 0.49° in rotation. The influences of rotation speed on the pose errors were below 0.23 mm and 0.26°. The MIBFT-determined bias, precision, and Rms error were comparable to those of the reported model-based tracking techniques using custom-made synchronous biplane fluoroscopy. The results suggested that the further use of the clinical imaging system is feasible for the noninvasive and precise examination of dynamic joint functions and kinematics in clinical practice and biomechanical research.

scholarly journals A Methodology of Three-Dimensional Medical Image Registration Based on Conformal Geometric Invariant

2014 ◽  
Vol 2014 ◽  
pp. 1-8
Author(s):  
Liang Hua ◽  
Kean Yu ◽  
Lijun Ding ◽  
Juping Gu ◽  
Xinsong Zhang ◽  
...  
Keyword(s):  
Image Registration ◽  
Medical Image ◽  
Subjective Evaluation ◽  
Three Dimensional ◽  
Medical Image Registration ◽  
Geometric Invariant ◽  
Registration Accuracy ◽  
Registration Method ◽  
Cloud Data ◽  
Dual Vector

A three-dimensional multimodality medical image registration method using geometric invariant based on conformal geometric algebra (CGA) theory is put forward for responding to challenges resulting from many free degrees and computational burdens with 3D medical image registration problems. The mathematical model and calculation method of dual-vector projection invariant are established using the distribution characteristics of point cloud data and the point-to-plane distance-based measurement in CGA space. The translation operator and geometric rotation operator during registration operation are built in Clifford algebra (CA) space. The conformal geometrical algebra is used to realize the registration of 3D CT/MR-PD medical image data based on the dual vector geometric invariant. The registration experiment results indicate that the methodology proposed in this paper is of stronger commonality, less computation burden, shorter time consumption, and intuitive geometric meaning. Both subjective evaluation and objective indicators show that the methodology proposed here is of high registration accuracy and suitable for 3D medical image registration.

Tibiofemoral Kinematics of the Knee During the Stance Phase of Gait After ACL Deficiency

2011 ◽  
Author(s):  
Chih-Hui Chen ◽  
Jing-Sheng Li ◽  
Ali Hosseini ◽  
Hemanth Reddy Gadikota ◽  
Michal Kozanek ◽  
...  
Keyword(s):  
Knee Joint ◽  
Imaging System ◽  
Meniscus Tear ◽  
Surgical Reconstruction ◽  
Joint Motion ◽  
Post Injury ◽  
Acl Injuries ◽  
Acl Deficiency ◽  
Knee Joint Motion ◽  
Tibiofemoral Kinematics

Numerous studies have demonstrated that ACL deficiency could lead to further meniscus tear and cartilage degeneration. The post-injury joint degeneration has been mainly attributed to altered joint kinematics caused by ACL deficiency. Therefore, understanding of the effect of ACL injuries on knee joint motion is critical for development of conservative treatment or surgical reconstruction of the ACL injured knees. However, few data have been reported on the influence of ACL deficiency on knee joint motion during gait [1,2] — the most commonly performed daily activities. The objective of this study was to determine the 6DOF kinematics of the knee after ACL injuries during gait on a treadmill and to compare the kinematics data to those measured from the intact contralateral side using a combined dual fluoroscopic imaging system (DFIS) and MR image technique [3,4]. We hypothesized that the 6DOF tibiofemoral kinematics of ACL-deficient knees would be altered even under low demand activities such as walking.

Use of Information Discrepancy Measure to Register Medical Images

2011 ◽  
Vol 50-51 ◽  
pp. 790-793
Author(s):  
Shao Yan Sun ◽  
Lei Chen
Keyword(s):  
Image Registration ◽  
Mutual Information ◽  
Medical Image ◽  
Numerical Experiments ◽  
Three Dimensional ◽  
Registration Accuracy ◽  
Registration Method ◽  
Mathematical Properties ◽  
Discrepancy Measure ◽  
Multiple Sequences

Function of Degree of Disagreement (FDOD), a new measure of information discrepancy, quantifies the discrepancy of multiple sequences. This function has some peculiar mathematical properties, such as symmetry, boundedness and monotonicity. In this contribution, we first introduce the FDOD function to solve the three-dimensional (3-D) medical image registration problem. Numerical experiments illustrate that the new registration method based on the FDOD function can obtain subvoxel registration accuracy, and it is a competitive method with the mutual information based method.

scholarly journals Performance evaluation of a newly developed three-dimensional model-based global-to-local registration in prostate cancer

2019 ◽  
Vol 60 (5) ◽  
pp. 595-602 ◽  
Author(s):  
Mitsuhiro Nakamura ◽  
Megumi Nakao ◽  
Hideaki Hirashima ◽  
Hiraku Iramina ◽  
Takashi Mizowaki
Keyword(s):  
Prostate Cancer ◽  
Hausdorff Distance ◽  
3D Model ◽  
Three Dimensional ◽  
Computation Time ◽  
Surface Registration ◽  
Registration Accuracy ◽  
Model Based ◽  
Global Registration ◽  
Significant Difference

Abstract We evaluated the performance of a newly developed three-dimensional (3D) model-based global-to-local registration of multiple organs, by comparing it with a 3D model-based global registration in the prostate region. This study included 220 prostate cancer patients who underwent intensity-modulated radiotherapy or volumetric-modulated arc therapy. Our registration proceeded sequentially, i.e. global registration including affine and piece-wise affine transformation followed by local registration. As a local registration, Laplacian-based and finite element method-based registration was implemented in Algorithm A and B, respectively. Algorithm C was for global registration alone. The template models for the prostate, seminal vesicles, rectum and bladder were constructed from the first 20 patients, and then three different registrations were performed on these organs for the remaining 200 patients, to assess registration accuracy. The 75th percentile Hausdorff distance was <1 mm in Algorithm A; it was >1 mm in Algorithm B, except for the prostate; and 3.9 mm for the prostate and >7.8 mm for other organs in Algorithm C. The median computation time to complete registration was <101, 30 and 16 s in Algorithms A, B and C, respectively. Analysis of variance revealed significant differences among Algorithms A–C in the Hausdorff distance and computation time. In addition, no significant difference was observed in the difference of Hausdorff distance between Algorithm A and B with Tukey’s multiple comparison test. The 3D model-based global-to-local registration, especially that implementing Laplacian-based registration, completed surface registration rapidly and provided sufficient registration accuracy in the prostate region.

Assessment of image registration accuracy in three-dimensional transrectal ultrasound guided prostate biopsy

2010 ◽  
Vol 37 (2) ◽  
pp. 802-813 ◽  
Author(s):  
V. V. Karnik ◽  
A. Fenster ◽  
J. Bax ◽  
D. W. Cool ◽  
L. Gardi ◽  
...  
Keyword(s):  
Image Registration ◽  
Prostate Biopsy ◽  
Transrectal Ultrasound ◽  
Three Dimensional ◽  
Ultrasound Guided ◽  
Registration Accuracy

Errors in Calculating Anterior–Posterior Tibial Contact Locations in Total Knee Arthroplasty Using Three-Dimensional Model to Two-Dimensional Image Registration in Radiographs: An In Vitro Study of Two Methods

2017 ◽  
Vol 139 (12) ◽  
Author(s):  
Derrick S. Ross ◽  
Stephen M. Howell ◽  
Maury L. Hull
Keyword(s):  
Total Knee Arthroplasty ◽  
Image Registration ◽  
Knee Arthroplasty ◽  
Three Dimensional ◽  
Force Sensor ◽  
Point Method ◽  
Two Dimensional ◽  
Single Plane ◽  
Total Knee ◽  
Anterior Posterior

Knowledge of anterior–posterior (A-P) tibial contact locations provides an objective assessment of the relative motion of the tibia on the femur following total knee arthroplasty (TKA), which can be used to compare the effects of different components, surgical techniques, and alignment goals on knee function in vivo. Both the lowest point method and the penetration method have been used to calculate A-P tibial contact locations using three-dimensional (3D) model to two-dimensional (2D) image registration. The primary objective of this study was to quantify errors in calculating the A-P tibial contact location using the lowest point and penetration methods because the errors in calculating the A-P tibial contact locations using these two methods are unknown. The A-P tibial contact locations were calculated with the two methods and simultaneously measured with a tibial force sensor in ten fresh-frozen cadaveric knee specimens with a TKA. Single-plane radiographs of the knee specimens were acquired at 0 deg, 30 deg, 60 deg, and 90 deg of flexion in neutrally, internally, and externally rotated orientations. While the radiographs were exposed, reference A-P tibial contact locations were simultaneously collected using the tibial force sensor to be compared to the calculated A-P tibial contact locations. The overall root-mean-squared-errors (RMSEs) in the A-P tibial contact location calculated with the lowest point method, the penetration method with penetration, and penetration method without penetration were 5.5 mm, 3.6 mm, and 8.9 mm, respectively. The overall RMSE was lowest for the penetration method with penetration, making it the superior method for calculating A-P tibial contact locations.

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