3D-surface reconstruction of intravascular ultrasound images using personal computer hardware and a motorized catheter control

Klein, Hans-Martin; Günther, R. W.; Verlande, M.; Schneider, W.; Vorwerk, Dierk; Kelch, J.; Hamm, Michael

doi:10.1007/bf02734099

Cited by 39 publications

(9 citation statements)

References 12 publications

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“…7,8 To determine the required mathematical descriptions, Ն6 noncoplanar 3D calibration points are needed. We used the 8 corner points of the calibration cube, extrapolating these from the cube edges.…”

Section: Reconstruction Of the Catheter Centerline (Coreline)mentioning

confidence: 99%

“…4 -6 More realistic 3D reconstruction methods have been devised that take into account the curved path of the transducer during pullback. 7,8 These methods reconstructed the 3D path from multiple biplane x-ray recordings of successive transducer locations 8 or used the vessel centerline as an approximation. 7 However, some important reconstruction problems related to determination of the true orientation of the IVUS cross sections and susceptibility to respiratory motion remained to be solved.…”

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confidence: 99%

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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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Section: Reconstruction Of the Catheter Centerline (Coreline)mentioning

confidence: 99%

mentioning

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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“…This is generally achieved by attaching the transducer to a stepper motor, for linear [92,104,117,169], rotational [51,91,136], fan [20,69] or intravascular linear [102] scanning. This kind of approach has also been used in integrated transducers, for instance Kretz Technik's 4 Combison 330 [1,2] and 530 [30,107,121,173], which scans an entire pyramidal volume.…”

Section: Automatic Mechanical Localisationmentioning

confidence: 99%

“…They were nearly parallel (a 'translational sweep' was used) and all approximately circular, such that the resulting surface was conical or cylindrical. A similar application, again with nearly circular cross-sections, was investigated in [102].…”

Section: Surface From Non-parallel Cross-sectionsmentioning

confidence: 99%

Volume Measurement in Sequential Freehand 3-D Ultrasound

Treece

Prager

Gee

et al. 1999

Lecture Notes in Computer Science

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SummaryThree-dimensional (3D) acquisition and visualisation techniques are increasingly being incorporated into commercial ultrasound scanners. The diagnostic benefit of such techniques is not yet convincing, compared to the added inconvenience of using them. Although it is straightforward to use special probes to acquire 3D data, these are more restrictive than conventional 2D probes. The only 3D technique which retains the scanning flexibility and wide area of application of 2D ultrasound, is freehand 3D ultrasound, where a 2D probe is moved manually and its location sensed remotely. However, it is hard to generate a regular volume of data from the resulting non-parallel ultrasound images.Probably the largest body of evidence justifying the use of 3D ultrasound relates to the accurate measurement of volume. However, volume measurement with 3D ultrasound requires segmentation (i.e. outlining of the area of interest), which is a time consuming, manual task. Both this problem, and that of creating a regular volume of data, are eased by the use of sequential freehand 3D ultrasound, a recent technique amplified in this thesis, where all the processing is performed on the original ultrasound images. Thus a regular array of data is not required, and segmentation is performed on images whose features and artifacts are recognisable to the clinician.In this thesis, novel volume measurement and surface visualisation algorithms are developed for sequential freehand 3D ultrasound. A particular emphasis is placed on limiting the number of segmented cross-sections required for a given measurement accuracy. Inherent accuracy is demonstrated by simulation to be within ±2%, from 10 or fewer cross-sections. In vivo precision, including registration and segmentation errors, is shown to be within ±7%, even on complicated objects such as the liver or a foetus, from similar numbers of cross-sections. The volume can be updated in real-time as each image is segmented, and surfaces can be interpolated and visualised within a few seconds. Such visualisation can reveal errors in the segmentation which are otherwise hard to see.In addition, a framework for multiple-sweep data is developed, which allows volume measurement and surface visualisation of anatomy that can only be scanned by several sweeps of the ultrasound probe. Accurate volume measurements can therefore be made of all areas observable by conventional ultrasound. These measurements can be accomplished within approximately 5 minutes of examining the patient.The surface visualisation algorithms can also produce high quality renderings of data from a wide range of sources in medical imaging and other fields. The interpolation of cross-sections is an improvement on shape-based interpolation, and the triangular mesh created from the data is of a much higher quality than that using marching cubes. An extension of the surface interpolation algorithm can also be used to gradually change, or 'morph' one 3D surface to another, a technique commonly used in the film industry.

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“…Over-estimation and under-estimation of certain portions of the plaque may be caused by vessel curvatures' 47 ' as a result of the curved pull-back trajectory of the intracoronary ultrasound transducer. The contour detection system demonstrates artificial curvatures caused by a localized eccentric plaque burden.…”

Section: Challenges and Future Directionsmentioning

confidence: 99%

Reconstruction and quantification with three-dimensional intracoronary ultrasound: An update on techniques, challenges, and future directions

Birgelen

Mintz

Feyter³

et al. 1997

European Heart Journal

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3D-surface reconstruction of intravascular ultrasound images using personal computer hardware and a motorized catheter control

Cited by 39 publications

References 12 publications

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

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

Volume Measurement in Sequential Freehand 3-D Ultrasound

Reconstruction and quantification with three-dimensional intracoronary ultrasound: An update on techniques, challenges, and future directions

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