Calibration-free coronary artery measurements for interventional device sizing using inverse geometry x-ray fluoroscopy:<i>in vivo</i>validation

Tomkowiak, Michael T.; Raval, Amish N.; Lysel, Michael S. Van; Funk, Tobias; Speidel, Michael A.

doi:10.1117/1.jmi.1.3.033504

Cited by 8 publications

(9 citation statements)

References 57 publications

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“…The method performs a local clustering of pixels using their color values and spatial locations. Figure 2 shows an X-ray frame segmented using the SLIC superpixel algorithm 1 . Superpixels have been used within graph-based methods such as normalized cut [13] and random walks [14], where they simplify the graph size and the retrieval of the optimal solution.…”

Section: Literature Reviewmentioning

confidence: 99%

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A graph-based approach for spatio-temporal segmentation of coronary arteries in X-ray angiographic sequences

M’hiri

Duong

Desrosiers

et al. 2016

Computers in Biology and Medicine

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The segmentation and tracking of coronary arteries (CAs) are critical steps for the computation of biophysical measurements in pediatric interventional cardiology. In the literature, most methods are focused on either segmenting the vessel lumen or on tracking the vessel centerline. However, they do not simultaneously combine the segmentation and tracking of a specific CA. This paper introduces a novel algorithm for CA segmentation and tracking from 2D X-ray angiography sequences. The proposed algorithm is based on the Temporal Vessel Walker (TVW) segmentation method, which combines graph-based formulation and temporal priors. Moreover, superpixel groups are used by TVW as image primitives to ensure a better extraction of the CA. The proposed algorithm, TVW with superpixels (SP-TVW), returns an accurate result to segment and track the artery along the angiogram. Quantitative results over 12 sequences of young patients show the accuracy of the proposed framework. The results return a mean recall of 84% in the dataset. In addition, the proposed method returned a Dice index of 70% in segmenting and tracking right coronary arteries and circumflex arteries. The performance of the proposed method surpasses the existing polyline method in tracking the centerline of CA with a more precise localization of the centerline, resulting in a smaller distance error of 0.23mm compared to 0.94mm.

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Section: Literature Reviewmentioning

confidence: 99%

“…These measurements include computing the vessel segment length [1], detecting stenosis [2] and estimating the severity of a stenosis by measuring the vessel's diameter [3]. Segmenting and tracking the artery along the moving angiography sequence is a key step for measuring the artery and assessing its dynamics in the cardiac cycle.…”

Section: Introductionmentioning

confidence: 99%

A graph-based approach for spatio-temporal segmentation of coronary arteries in X-ray angiographic sequences

M’hiri

Duong

Desrosiers

et al. 2016

Computers in Biology and Medicine

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“…Real-time tomosynthesis offers novel capabilities that are unavailable with conventional fluoroscopy. For example, it has been shown that the depth resolution inherent to SBDX tomosynthesis can be exploited to perform real-time 3D catheter tracking, 7,8 3D vessel analysis, 9 stereoscopic fluoroscopy, 10 and lung tomosynthesis. 11 However, inverse geometry fluoroscopy also requires a different approach to forming a 2D display analogous to conventional fluoroscopy.…”

Section: Introductionmentioning

confidence: 99%

Localization of cardiac volume and patient features in inverse geometry x-ray fluoroscopy

Speidel

Slagowski

Dunkerley

et al. 2017

Medical Imaging 2017: Physics of Medical Imaging

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The scanning-beam digital x-ray (SBDX) system is an inverse geometry x-ray fluoroscopy technology that performs real-time tomosynthesis at planes perpendicular to the source-detector axis. The live display is a composite image which portrays sharp features (e.g. coronary arteries) extracted from a 16 cm thick reconstruction volume. We present a method for automatically determining the position of the cardiac volume prior to acquisition of a coronary angiogram. In the algorithm, a single non-contrast frame is reconstructed over a 44 cm thickness using shift-and-add digital tomosynthesis. Gradient filtering is applied to each plane to emphasize features such as the cardiomediastinal contour, diaphragm, and lung texture, and then sharpness vs. plane position curves are generated. Three sharpness metrics were investigated: average gradient in the bright field, maximum gradient, and the number of normalized gradients exceeding 0.5. A model correlating the peak sharpness in a non-contrast frame and the midplane of the coronary arteries in a contrast-enhanced frame was established using 37 SBDX angiographic loops (64–136 kg human subjects, 0–30° cranial-caudal). The average gradient in the bright field (primarily lung) and the number of normalized gradients >0.5 each yielded peaks correlated to the coronary midplane. The rms deviation between the predicted and true midplane was 1.57 cm. For a 16 cm reconstruction volume and the 5.5–11.5 cm thick cardiac volumes in this study, midplane estimation errors of 2.25–5.25 cm were tolerable. Tomosynthesis-based localization of cardiac volume is feasible. This technique could be applied prior to coronary angiography, or to assist in isocentering the patient for rotational angiography.

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“…1A). 1,2 The inverse geometry design provides SBDX with an inherent real-time tomosynthesis capability 2 that has been exploited for a number of applications including frame-by-frame 3D tracking of high-contrast objects such as cardiac catheters, 3 calibration-free vessel measurements for device sizing, 4 and stereoscopic fluoroscopy. 5 …”

Section: Introductionmentioning

confidence: 99%

A geometric calibration method for inverse geometry computed tomography using P-matrices

et al. 2016

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Accurate and artifact free reconstruction of tomographic images requires precise knowledge of the imaging system geometry. This work proposes a novel projection matrix (P-matrix) based calibration method to enable C-arm inverse geometry CT (IGCT). The method is evaluated for scanning-beam digital x-ray (SBDX), a C-arm mounted inverse geometry fluoroscopic technology. A helical configuration of fiducials is imaged at each gantry angle in a rotational acquisition. For each gantry angle, digital tomosynthesis is performed at multiple planes and a composite image analogous to a cone-beam projection is generated from the plane stack. The geometry of the C-arm, source array, and detector array is determined at each angle by constructing a parameterized 3D-to-2D projection matrix that minimizes the sum-of-squared deviations between measured and projected fiducial coordinates. Simulations were used to evaluate calibration performance with translations and rotations of the source and detector. In a geometry with 1 mm translation of the central ray relative to the axis-of-rotation and 1 degree yaw of the detector and source arrays, the maximum error in the recovered translational parameters was 0.4 mm and maximum error in the rotation parameter was 0.02 degrees. The relative root-mean-square error in a reconstruction of a numerical thorax phantom was 0.4% using the calibration method, versus 7.7% without calibration. Changes in source-detector-distance were the most challenging to estimate. Reconstruction of experimental SBDX data using the proposed method eliminated double contour artifacts present in a non-calibrated reconstruction. The proposed IGCT geometric calibration method reduces image artifacts when uncertainties exist in system geometry.

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Calibration-free coronary artery measurements for interventional device sizing using inverse geometry x-ray fluoroscopy:in vivovalidation

Cited by 8 publications

References 57 publications

A graph-based approach for spatio-temporal segmentation of coronary arteries in X-ray angiographic sequences

A graph-based approach for spatio-temporal segmentation of coronary arteries in X-ray angiographic sequences

Localization of cardiac volume and patient features in inverse geometry x-ray fluoroscopy

A geometric calibration method for inverse geometry computed tomography using P-matrices

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