Three-dimensional reconstruction of high contrast objects using C-arm image intensifier projection data

Graß, Michael; Koppe, R.; Klotz, E.; Proksa, Roland; Kühn, Michael; Aerts, Hugo J.W.L.; Beek, John Op de; Kemkers, Richard

doi:10.1016/s0895-6111(99)00028-2

Cited by 103 publications

(67 citation statements)

References 8 publications

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“…Three sets of experiments were performed to study the possible influence by different choices of the reference volume. In the first set, the ground-truth volume at the averaged state was used; in the second set, the reference volume was reconstructed from the simulated projections of the pulsating phantom, using the FBP algorithm [19]; and in the third set, the reference volume was obtained the same way as the second set, but the phantom was not pulsating. We denote these three sets as GT, FBP1, and FBP2, respectively, for the simplification of explanation.…”

Section: ) Effects Of Reference Volume Selectionmentioning

confidence: 99%

“…Schäfer et al [17] reconstructed moving coronary arteries by shifting voxel positions according to a motion vector field. This method is only applicable to voxel driven cone-beam filtered back-projection (FBP) reconstruction approaches [18], [19] with an a priori known motion model. To perform gated reconstruction, the authors introduced a weighting factor into the FBP formulation according to the cardiac phase of the projections.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Morphodynamic Analysis of Cerebral Aneurysm Pulsation From Time-Resolved Rotational Angiography

Zhang

Villa‐Uriol²,

Craene³

et al. 2009

IEEE Trans. Med. Imaging

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Abstract-This paper presents a technique to estimate and model patient-specific pulsatility of cerebral aneurysms over one cardiac cycle, using 3D rotational X-ray angiography (3DRA) acquisitions. Aneurysm pulsation is modeled as a time varying -spline tensor field representing the deformation applied to a reference volume image, thus producing the instantaneous morphology at each time point in the cardiac cycle. The estimated deformation is obtained by matching multiple simulated projections of the deforming volume to their corresponding original projections. A weighting scheme is introduced to account for the relevance of each original projection for the selected time point. The wide coverage of the projections, together with the weighting scheme, ensures motion consistency in all directions. The technique has been tested on digital and physical phantoms that are realistic and clinically relevant in terms of geometry, pulsation and imaging conditions. Results from digital phantom experiments demonstrate that the proposed technique is able to recover subvoxel pulsation with an error lower than 10% of the maximum pulsation in most cases. The experiments with the physical phantom allowed demonstrating the feasibility of pulsation estimation as well as identifying different pulsation regions under clinical conditions. Index Terms-Image registration, motion analysis, three-dimensional rotational angiography, X-ray imaging.

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Section: ) Effects Of Reference Volume Selectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Morphodynamic Analysis of Cerebral Aneurysm Pulsation From Time-Resolved Rotational Angiography

Zhang

Villa‐Uriol²,

Craene³

et al. 2009

IEEE Trans. Med. Imaging

View full text Add to dashboard Cite

show abstract

“…The calibration is performed by taking x-ray images from a known dodecahedron phantom from a large number of projections, equally distributed over the hemisphere of possible C-arm locations. 24,25 For any position in-between the calibrated positions, the deviations are linearly averaged from the neighboring calibrated data.…”

Section: -D-3-d Registrationmentioning

confidence: 99%

Real-time integration of 3-D multimodality data in interventional neuroangiography

et al. 2009

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“…The basic idea to acquire projection data over a typically 180°-plus fan angle was already pursued in the 1990s [1][2][3][4]. The early work was conducted on C-arm systems equipped with conventional image intensifiers (Fig.…”

Section: Introductionmentioning

confidence: 99%

Flat-detector computed tomography (FD-CT)

2007

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Flat-panel detectors or, synonymously, flat detectors (FDs) have been developed for use in radiography and fluoroscopy with the defined goal to replace standard X-ray film, filmscreen combinations and image intensifiers by an advanced sensor system. FD technology in comparison to X-ray film and image intensifiers offers higher dynamic range, dose reduction, fast digital readout and the possibility for dynamic acquisitions of image series, yet keeping to a compact design. It appeared logical to employ FD designs also for computed tomography (CT) imaging. Respective efforts date back a few years only, but FD-CT has meanwhile become widely accepted for interventional and intraoperative imaging using C-arm systems. FD-CT provides a very efficient way of combining two-dimensional (2D) radiographic or fluoroscopic and 3D CT imaging. In addition, FD technology made its way into a number of dedicated CT scanner developments, such as scanners for the maxillo-facial region or for micro-CT applications. This review focuses on technical and performance issues of FD technology and its full range of applications for CT imaging. A comparison with standard clinical CT is of primary interest. It reveals that FD-CT provides higher spatial resolution, but encompasses a number of disadvantages, such as lower dose efficiency, smaller field of view and lower temporal resolution. FD-CT is not aimed at challenging standard clinical CT as regards to the typical diagnostic examinations; but it has already proven unique for a number of dedicated CT applications, offering distinct practical advantages, above all the availability of immediate CT imaging in the interventional suite or the operating room.

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Three-dimensional reconstruction of high contrast objects using C-arm image intensifier projection data

Cited by 103 publications

References 8 publications

Morphodynamic Analysis of Cerebral Aneurysm Pulsation From Time-Resolved Rotational Angiography

Morphodynamic Analysis of Cerebral Aneurysm Pulsation From Time-Resolved Rotational Angiography

Real-time integration of 3-D multimodality data in interventional neuroangiography

Flat-detector computed tomography (FD-CT)

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