Recovering the position and orientation of free-form objects from image contours using 3D distance maps

Lavallée, Stéphane; Szeliski, Richard

doi:10.1109/34.385980

Cited by 215 publications

(108 citation statements)

References 26 publications

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“…[8][9][10][11][12] Kaptein and colleagues implemented the use of 3D models of TKA implants with roentgen stereophotogrammetric analysis (RSA) in order to measure 3D motion. However, this technique involves the application of high-dose X-rays.…”

Section: Discussionmentioning

confidence: 99%

Investigation of in vivo 6DOF total knee arthoplasty kinematics using a dual orthogonal fluoroscopic system

Hanson

Suggs

Freiberg

et al. 2006

Journal Orthopaedic Research

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Fluoroscopic techniques have been recently used to detect in vivo knee joint kinematics. This article presents a technique that uses two fluoroscopes to form a dual orthogonal fluoroscopic system for accurately measuring in vivo 6DOF total knee arthoplasty (TKA) kinematics. The system was rigorously validated and used to investigate in vivo kinematics of 12 patients after cruciate-retaining TKA. In a repeatability study, the pose of two different TKA components was reproduced with standard deviations (SD) of 0.17 mm and 0.578 about all three axes. In an accuracy study, the reproduced component positions were compared to the known component positions. Position and rotation mean errors were all within 0.11 mm and 0.248, with SD within 0.11 mm and 0.488, respectively. The results of this study show that the matching process of the imaging system is able to accurately reproduce the spatial positions and orientations of both the femoral and tibial components. For CR TKA patients, a consistent anterior femoral translation was observed with flexion through 458 of flexion, and thereafter, the femur translated posteriorly with further flexion. The medial-lateral translation was measured to be less than 2 mm throughout the entire flexion range. Internal tibial rotation steadily increased through maximum flexion by approximately 68. Varus rotation was also measured with flexion but had a mean magnitude less than 2.08. In conclusion, the dual orthogonal fluoroscopic system accurately detects TKA kinematics and is applicable towards other joints of the musculoskeletal system, including the wrist, elbow, shoulder, ankle, and spine. ß

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Section: Discussionmentioning

confidence: 99%

Investigation of in vivo 6DOF total knee arthoplasty kinematics using a dual orthogonal fluoroscopic system

Hanson

Suggs

Freiberg

et al. 2006

Journal Orthopaedic Research

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“…Data were acquired during the apnoea that follows expiration. Based on these data, the registration algorithm -a surface rigid matching using a distance map recorded in an octree-spline data structure [3] -was quantitatively evaluated in terms of repeatability and accuracy.…”

Section: Methodsmentioning

confidence: 99%

Computer-Aided Hepatic Tumour Ablation

Voirin

Amavizca

Leroy

et al. 2001

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2001

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Abstract. Surgical resection of hepatic tumours is not always possible. Alternative techniques consist in locally using chemical or physical agents to destroy the tumour and this may be performed percutaneously. It requires a precise localisation of the tumour placement during ablation. Computer-assisted surgery tools may be used in conjunction to these new ablation techniques to improve the therapeutic efficiency whilst benefiting from minimal invasiveness. This communication introduces the principles of a system for computer-assisted hepatic tumour ablation.

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“…In contrast, high resolution DT in 3D is very costly. This prompted Lavallée and Szeliski to approximate 3D DT using octree spline [10].…”

Section: Related Workmentioning

confidence: 99%

A Correlation-Based Approach to Robust Point Set Registration

Tsin

Kanade

2004

Lecture Notes in Computer Science

344

317

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Abstract. Correlation is a very effective way to align intensity images. We extend the correlation technique to point set registration using a method we call kernel correlation. Kernel correlation is an affinity measure, and it is also a function of the point set entropy. We define the point set registration problem as finding the maximum kernel correlation configuration of the the two point sets to be registered. The new registration method has intuitive interpretations, simple to implement algorithm and easy to prove convergence property. Our method shows favorable performance when compared with the iterative closest point (ICP) and EM-ICP methods.

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Recovering the position and orientation of free-form objects from image contours using 3D distance maps

Cited by 215 publications

References 26 publications

Investigation of in vivo 6DOF total knee arthoplasty kinematics using a dual orthogonal fluoroscopic system

Investigation of in vivo 6DOF total knee arthoplasty kinematics using a dual orthogonal fluoroscopic system

Computer-Aided Hepatic Tumour Ablation

A Correlation-Based Approach to Robust Point Set Registration

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