Atlas-Based Recognition of Anatomical Structures and Landmarks to Support the Virtual Three-Dimensional Planning of Hip Operations

Ehrhardt, Jan; Handels, Heinz; Strathmann, Bernd; Malina, Thomas; Plötz, Werner; Pöppl, Siegfried J.

doi:10.1007/978-3-540-39899-8_3

Cited by 14 publications

(12 citation statements)

References 10 publications

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“…Also, it may lack in reliability and repeatability and is prone to errors. For automatic landmark positioning, Jacinto et al [23] and Ehrhardt et al [24] proposed an algorithm for automatic positioning of landmarks based on a multi-atlas method on an anatomical structure. Subburaj et al [17] identified the landmarks on a knee-bone model by detecting local landmark regions based on different surface curvature indicators.…”

Section: Localization Anatomical Landmarksmentioning

confidence: 99%

A reliable method for morphological measurement of 3D calcaneus models from computed tomography images.

Idram¹,

Lai²,

Lee³

2019

biomedicalresearch

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The way to assess the calcaneal fractures reduction is still open. Anatomical morphology is an important clinical value to maintain normal function and may use as references to evaluate the reduction for calcaneal fractures. The aim of study is to provide reliable and repeatable three-dimensional (3D) morphology measurement. 3D models of ninety-nine Taiwanese normal calcaneus were reconstructed and segmented from CT image. Anatomical landmark serves as measurement constraints that manually identified and localized on bone mesh surface according to Gaussian curvature analysis. Computer assisted measurement and manual measurement were performed to quantify morphological parameters. Statistically, measurement results of calcaneal morphology were analyzed. The correlation between each of morphological parameters was tested using Bivariate-Pearson correlation. Gender differences relate to parameters were also tested. Intraclass correlation coefficient (ICC) and root mean square standard deviation (RMS-SD) were performed for reliable and precision study. Significant parameter differences between males and females were found (p<0.05). Yet, the correlation for each morphology parameters shows a strong correlation. Overall measurements show acceptable reliability and repeatability (ICC>0.754). RMS-SD of precision for linear and angular measurement was adequate, around 0.8 mm and 1.7°. Morphological parameters for both male and female groups, 78.5 mm in length, 42.1 in height, 43.3 mm in width, 112.5° in Gissane angle, 33.4° in Böhler angle, which is not much different compared to Asian morphology population. The proposed method positively contributes to measurement calcaneal morphology with significant reliability and repeatability. This study may offer to be a basic data and reference for assessment calcaneal fracture reduction.

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Section: Localization Anatomical Landmarksmentioning

confidence: 99%

A reliable method for morphological measurement of 3D calcaneus models from computed tomography images.

Idram¹,

Lai²,

Lee³

2019

biomedicalresearch

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“…In general, the quality of the measurement process determines the consistency of the cup size selection, the accuracy of the cup alignment and the reliability of the bone machining procedure during surgery. 9,19,29 In particular, appropriate anatomic concepts for surgery to treat femoroacetabular impingement require a precise appreciation of the native acetabular anatomy. 22,35 In order to measure pre-operatively the acetabular shape and morphologic parameters, different clinical methodologies exist, relying on X-rays, CT, and MRI scans.…”

Section: Discussionmentioning

confidence: 99%

“…Using prosthesis virtual models, SPSS systems yield the optimal implant size and positioning according to the computed CL, the visualization of the virtual bone resections and the overall simulation of the intervention prior to surgery. 7,9,12,17,22,23,26,27,29,32,33,36 However, the virtual palpation of CL and the manual arrangement of the virtual templates in the SPSS, were found to be highly dependent upon the examiners' expertise, frequently time consuming and affected by considerable inter-observer variability. 31,33,34,39 Different computational approaches to automatic CL detection and bone shape analysis have been recently proposed.…”

Section: Introductionmentioning

confidence: 98%

Advanced Computational Framework for the Automatic Analysis of the Acetabular Morphology from the Pelvic Bone Surface for Hip Arthroplasty Applications

et al. 2011

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2D- and 3D-based innovative methods for surgical planning and simulation systems in orthopedic surgery have emerged enabling the interactive or semi-automatic identification of the clinical landmarks (CL) on the patient individual virtual bone anatomy. They enable the determination of the optimal implant sizes and positioning according to the computed CL, the visualization of the virtual bone resections and the simulation of the overall intervention prior to surgery. The virtual palpation of CL, highly dependent upon the examiner's expertise, was proved to be time consuming and to suffer from considerable inter-observer variability. In this article, we propose a fully automatic algorithmic framework that processes the pelvic bone surface, integrating surface curvature analysis, quadric fitting, recursive clustering and clinical knowledge, aiming at computing the main parameters of the acetabulum. The performance of the method was evaluated using pelvic bone surfaces reconstructed from CT scans of cadavers and subjects with pathological conditions at the hip joint. The repeatability error of the automated computation of acetabular center, size and axis parameters was less than 1 mm, 0.5 mm, and 1.5°, respectively. The computed parameters were in agreement (<1.5 mm; <0.5 mm; <3.0°) with the corresponding reference parameters manually identified in the original datasets by medical experts. According to our results, the proposed method is put forward to improve the degree of automation of image/model-based planning systems for hip surgery.

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“…The pelvic coordinate system is determined by finding APP, the left and right ASIS, and the pubic joint in MDCT images according to literatures [9] [10]. To suppress variability due to pelvic pose change, the pelvic pose is calibrated by using silhouette images.…”

Section: Overviewmentioning

confidence: 99%

Robust Pelvic Coordinate System Determination for Pose Changes in Multidetector-row Computed Tomography Images

Kobashi¹,

Fujimoto²,

Nishiyama³

et al. 2010

International Journal of Fuzzy Logic and Intelligent Systems

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For developing navigation system of total hip arthroplasty (THA) and evaluating hip joint kinematics, 3-D pose position of the femur and acetabulum in the pelvic coordinate system has been quantified. The pelvic coordinate system is determined by manually indicating pelvic landmarks in multidetector-row computed tomography (MDCT) images. It includes intra-and inter-observer variability, and may result in a variability of THA operation or diagnosis. To reduce the variability of pelvic coordinate system determination, this paper proposes an automated method in MDCT images. The proposed method determines pelvic coordinate system automatically by detecting pelvic landmarks on anterior pelvic plane (APP) from MDCT images. The method calibrates pelvic pose by using silhouette images to suppress the affect of pelvic pose change. As a result of comparing with manual determination, the proposed method determined the coordinate system with a mean displacement of 2.6 ± 1.6 mm and a mean angle error of 0.78 ± 0.34 deg on 5 THA subjects. For changes of pelvic pose position within 10 deg, standard deviation of displacement was 3.7 mm, and of pose was 1.28 deg. We confirmed the proposed method was robust for pelvic pose changes.

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Atlas-Based Recognition of Anatomical Structures and Landmarks to Support the Virtual Three-Dimensional Planning of Hip Operations

Cited by 14 publications

References 10 publications

A reliable method for morphological measurement of 3D calcaneus models from computed tomography images.

A reliable method for morphological measurement of 3D calcaneus models from computed tomography images.

Advanced Computational Framework for the Automatic Analysis of the Acetabular Morphology from the Pelvic Bone Surface for Hip Arthroplasty Applications

Robust Pelvic Coordinate System Determination for Pose Changes in Multidetector-row Computed Tomography Images

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