Model-based Roentgen stereophotogrammetry of orthopaedic implants

Valstar, Edward R.; Jong, F.W. de; Vrooman, Henri A.; Rozing, P. M.; Reiber, Johan H. C.

doi:10.1016/s0021-9290(01)00028-8

Cited by 107 publications

(101 citation statements)

References 14 publications

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“…1) [8,10,11,23]. Pose estimation techniques are the digital equivalent of casting shadows, by which the location of objects is determined by the projection of a silhouette to the image plane or planes.…”

Section: Introductionmentioning

confidence: 99%

“…It also is comparable to fluoroscopic techniques for measuring joint kinematics [1,17], with the distinction that higher-resolution, static stereoradiographs are used to determine implant migration. The theoretical accuracy and precision of the MBRSA method have been investigated in several experimental phantom studies using geometric models based on computer-aided design (CAD) data [23] and reverse-engineering techniques [10]. Reverse engineering is a process by which the 3-D geometry of existing objects is captured for replication of parts or devices or other purposes.…”

Section: Introductionmentioning

confidence: 99%

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Accuracy of Model-based RSA Contour Reduction in a Typical Clinical Application

Hurschler

Seehaus

Emmerich

et al. 2008

Clin Orthop Relat Res

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Marker-based roentgen stereophotogrammetric analysis (RSA) is an accurate method for measuring in vivo implant migration, which requires attachment of tantalum markers to the implant. Model-based RSA allows migration measurement without implant markers; digital pose estimation, which can be thought of as casting a shadow of a surface model of the implant into the stereoradiographs, is used instead. The number of surface models required in a given clinical study depends on the number of implanted sizes and design variations of prostheses. Contour selection can be used to limit pose estimation to areas of the prosthesis that do not vary with design, reducing the number of surface models required. The effect of contour reduction on the accuracy of the model-based method was investigated using three different contour selection schemes on tibial components in 24 patients at 3 and 6 month followup. The agreement interval (mean ± 2 standard deviations), which bounds the differences between the marker-based and model-based methods with contour reduction was smaller than -0.028 ± 0.254 mm. The data suggest that contour reduction does not result in unacceptable loss of model-based RSA accuracy, and that the model-based method can be used interchangeably with the marker-based method for measuring tibial component migration.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Accuracy of Model-based RSA Contour Reduction in a Typical Clinical Application

Hurschler

Seehaus

Emmerich

et al. 2008

Clin Orthop Relat Res

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“…5 Roentgen stereophotogrammetric analysis (RSA) explores the high radiographic contrast of implanted structures to recover their position thanks to a digital model, and allows to assess the micromotion of implants with respect to the surrounding bone. 6 The present study aims at the automatic recovery of the rotational movements of bones at the knee joint of subjects without implants. Our method is based on two different image sets: first, a rotational series of X-ray radiographs of the still subject knee, used to reconstruct its volume, and second, an orthogonal stereoscopic X-ray image series of the moving knee.…”

Section: Introductionmentioning

confidence: 99%

Bi-planar 2D-to-3D registration in Fourier domain for stereoscopic x-ray motion tracking

Zosso

Callennec

Cuadra³

et al. 2008

SPIE Proceedings

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In this paper we present a new method to track bone movements in stereoscopic X-ray image series of the knee joint. The method is based on two different X-ray image sets: a rotational series of acquisitions of the still subject knee that allows the tomographic reconstruction of the three-dimensional volume (model), and a stereoscopic image series of orthogonal projections as the subject performs movements. Tracking the movements of bones throughout the stereoscopic image series means to determine, for each frame, the best pose of every moving element (bone) previously identified in the 3D reconstructed model. The quality of a pose is reflected in the similarity between its theoretical projections and the actual radiographs. We use direct Fourier reconstruction to approximate the three-dimensional volume of the knee joint. Then, to avoid the expensive computation of digitally rendered radiographs (DRR) for pose recovery, we develop a corollary to the 3-dimensional central-slice theorem and reformulate the tracking problem in the Fourier domain. Under the hypothesis of parallel X-ray beams, the heavy 2D-to-3D registration of projections in the signal domain is replaced by efficient slice-tovolume registration in the Fourier domain. Focusing on rotational movements, the translation-relevant phase information can be discarded and we only consider scalar Fourier amplitudes. The core of our motion tracking algorithm can be implemented as a classical frame-wise slice-to-volume registration task. Results on both synthetic and real images confirm the validity of our approach.

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“…9 This technique is a well established and highly accurate tool to detect 3-dimensional micromotion of orthopedic implants in relation to tantalum reference markers in the bone. [9][10][11][12][13] The potential benefits of RSA are low costs, low radiation dose, and no intravenous contrast enhancement. In addition to these potential benefits of RSA, its highly accurate method of measurement could be of great advantage in detecting migration in the early period after introduction of new endografts.…”

Section: Introduction Smentioning

confidence: 99%

Accurate Detection of Stent-Graft Migration in a Pulsatile Aortic Model Using Roentgen Stereophotogrammetric Analysis

Koning¹,

Garling²,

Hinnen³

et al. 2007

Journal of Endovascular Therapy

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54 AbstractPurpose: To evaluate the feasibility and accuracy of Roentgen stereophotogrammetric analysis (RSA) versus computed tomography (CT) for detecting stent-graft migration in an in vitro pulsatile circulation model and to study the feasibility of a nitinol endovascular clip (NEC) as an aortic wall reference marker for RSA.Methods: An aortic model with stent-graft was constructed and connected to an artificial circulation with a physiological flow and pressure profile. Tantalum markers and NECs were used as aortic reference markers for RSA analysis. Stent-graft migrations were measured during pulsatile circulation with RSA and CT. CT images acquired with 64×0.5-mm beam collimation were analyzed with Vitrea postprocessing software using a standard clinical protocol and central lumen line reconstruction. RSA in the model with the circulation switched off was used as the reference standard to determine stent-graft migration. The measurement errors of RSA and CT were determined during pulsatile circulation. Results:The mean measurement error ± standard deviation (maximum) of RSA during pulsatile circulation using the tantalum markers was -0.5±0.16 (0.7) mm. Using the NEC, the mean (maximum) measurement error was -0.4±0.25 (1.1) mm. The mean (maximum) measurement error of CT was -1.1±1.17 (2.8) mm. Conclusion:RSA is an accurate and feasible tool to measure stent-graft migration in a pulsatile environment. Migration measurement with RSA was more accurate than CT in this experimental setup. The nitinol clip tested in this study is potentially feasible as an aortic reference marker in patients after endovascular repair.

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Model-based Roentgen stereophotogrammetry of orthopaedic implants

Cited by 107 publications

References 14 publications

Accuracy of Model-based RSA Contour Reduction in a Typical Clinical Application

Accuracy of Model-based RSA Contour Reduction in a Typical Clinical Application

Bi-planar 2D-to-3D registration in Fourier domain for stereoscopic x-ray motion tracking

Accurate Detection of Stent-Graft Migration in a Pulsatile Aortic Model Using Roentgen Stereophotogrammetric Analysis

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