Geometrically correct 3-D reconstruction of coronary wall and plaque: combining biplane angiography and intravascular ultrasound

Prause, Guido P. M.; DeJong, S.C.; McKay, Charles R.; Sonka, Milan

doi:10.1109/cic.1996.542539

Cited by 17 publications

(30 citation statements)

References 3 publications

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“…We assume that the linear over-estimation of the catheter twist as measured in helical phantoms earlier [55] was caused by the friction of the core against the sheath, which was equally distributed due to the constant curvature of the helix. The manual pullback may introduce further distortions if the catheter core is twisted against the sheath.…”

Section: Discussionmentioning

confidence: 99%

“…It must be kept in mind that the course of the catheter is not identical with the course of the vessel [55], but the correct assignment of the IVUS data in 3-D yields correct results even if the frames are oblique to the vessel. Since a constant angiographic supervision of the pullback as proposed in [40]- [42] is not applicable in clinical cases, the location of a specific frame is directly determined from its time-stamp and the pullback speed.…”

Section: A Outline Of the Fusion Processmentioning

confidence: 99%

“…This problem is comparable to fitting a sock on a leg [39]: While the leg (catheter path) is stable, the sock (axial orientation of the frame set) can be freely rotated around the leg, but fits optimally only in one orientation. Our method uses the bending behavior of the imaging catheter as a reference, which is expected to fall in the position of minimum energy within the vessel [55]. This results in an out-of-center position of the catheter relative to the inner lumen, which is visible in both angiographic and IVUS data (Figs.…”

Section: G Estimation Of the Absolute Orientationmentioning

confidence: 99%

“…Since the algorithm was tested on regular structures like helices before [55], we focused on models of known, but irregular bending. The first model consisted of five generalized joints as described in Section IV-D. To check its correctness, a physical model with five joints was built and supplied with markers indicating the orientation of the local 2-D coordinate systems.…”

Section: A Computer Simulationsmentioning

confidence: 99%

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Geometrically correct 3-D reconstruction of intravascular ultrasound images by fusion with biplane angiography-methods and validation

Wahle

Prause

DeJong

et al. 1999

IEEE Trans. Med. Imaging

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159

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Abstract-In the rapidly evolving field of intravascular ultrasound (IVUS), the assessment of vessel morphology still lacks a geometrically correct 3-D reconstruction. The IVUS frames are usually stacked up to form a straight vessel, neglecting curvature and the axial twisting of the catheter during the pullback. Our method combines the information about vessel cross-sections obtained from IVUS with the information about the vessel geometry derived from biplane angiography. First, the catheter path is reconstructed from its biplane projections, resulting in a spatial model. The locations of the IVUS frames are determined and their orientations relative to each other are calculated using a discrete approximation of the Frenet-Serret formulas known from differential geometry. The absolute orientation of the frame set is established utilizing the imaging catheter itself as an artificial landmark. The IVUS images are segmented using our previously developed algorithm. The fusion approach has been extensively validated in computer simulations, phantoms, and cadaveric pig hearts.

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Section: Discussionmentioning

confidence: 99%

Section: A Outline Of the Fusion Processmentioning

confidence: 99%

Section: G Estimation Of the Absolute Orientationmentioning

confidence: 99%

Section: A Computer Simulationsmentioning

confidence: 99%

See 2 more Smart Citations

Geometrically correct 3-D reconstruction of intravascular ultrasound images by fusion with biplane angiography-methods and validation

Wahle

Prause

DeJong

et al. 1999

IEEE Trans. Med. Imaging

Self Cite

159

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“…9,14,15 This algorithm corrects for a twist-like phenomenon 9 that induces a rotation of the IVUS images when the catheter passes through helical curves ( Figure 5A). Second, biplane silhouette images of the lumen or stent surface reconstruction are computed and quantitatively compared with the actual x-ray images.…”

Section: Location and Orientation Of The Ivus Planesmentioning

confidence: 99%

True 3-Dimensional Reconstruction of Coronary Arteries in Patients by Fusion of Angiography and IVUS (ANGUS) and Its Quantitative Validation

et al. 2000

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Background-True 3D reconstruction of coronary arteries in patients based on intravascular ultrasound (IVUS) may be achieved by fusing angiographic and IVUS information (ANGUS). The clinical applicability of ANGUS was tested, and its accuracy was evaluated quantitatively. Methods and Results-In 16 patients who were investigated 6 months after stent implantation, a sheath-based catheter was used to acquire IVUS images during an R-wave-triggered, motorized stepped pullback. First, a single set of end-diastolic biplane angiographic images documented the 3D location of the catheter at the beginning of pullback. From this set, the 3D pullback trajectory was predicted. Second, contours of the lumen or stent obtained from IVUS were fused with the 3D trajectory. Third, the angular rotation of the reconstruction was optimized by quantitative matching of the silhouettes of the 3D reconstruction with the actual biplane images. Reconstructions were obtained in 12 patients. The number of pullback steps, which determines the pullback length, closely agreed with the reconstructed path length (rϭ0.99). Geometric measurements in silhouette images of the 3D reconstructions showed high correlation (0.84 to 0.97) with corresponding measurements in the actual biplane angiographic images. Conclusions-With

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Reproducibility of coronary lumen, plaque, and vessel wall reconstruction and of endothelial shear stress measurements in vivo in humans

Coskun

Yeghiazarians

Kinlay

et al. 2003

Cathet Cardio Intervent

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The purpose of this study was to assess the reproducibility of an in vivo methodology to reconstruct the lumen, plaque, and external elastic membrane (EEM) of coronary arteries and estimate endothelial shear stress (ESS). Ten coronary arteries without significant stenoses (five native and five stented arteries) were investigated. The 3D lumen and EEM boundaries of each coronary artery were determined by fusing end-diastolic intravascular ultrasound images with biplane coronary angiograms. Coronary flow was measured. Computational fluid dynamics was used to calculate local ESS. Complete data acquisition was then repeated. Analysis was performed on each data set in a blinded manner. The intertest correlation coefficients for all arteries for the two measurements of lumen radius, EEM radius, plaque thickness, and ESS were r = 0.96, 0.96, 0.94, 0.91, respectively (all P values < 0.0001). The 3D anatomy and ESS of human coronary arteries can be reproducibly estimated in vivo. This methodology provides a tool to examine the effect of ESS on atherogenesis, remodeling, and restenosis; the contribution of arterial remodeling and plaque growth to changes in the lumen; and the impact of new therapies.

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Geometrically correct 3-D reconstruction of coronary wall and plaque: combining biplane angiography and intravascular ultrasound

Cited by 17 publications

References 3 publications

Geometrically correct 3-D reconstruction of intravascular ultrasound images by fusion with biplane angiography-methods and validation

Geometrically correct 3-D reconstruction of intravascular ultrasound images by fusion with biplane angiography-methods and validation

True 3-Dimensional Reconstruction of Coronary Arteries in Patients by Fusion of Angiography and IVUS (ANGUS) and Its Quantitative Validation

Reproducibility of coronary lumen, plaque, and vessel wall reconstruction and of endothelial shear stress measurements in vivo in humans

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