Corresponding IVUS and angiogram image data

Radeva, Petia; Cañero, C.; Villanueva, Juan J.; Mauri, Josefina; Fidalgo, Eduardo; Tovar, Andrea T.; Valle, Valéry

doi:10.1109/cic.2001.977645

Cited by 9 publications

(8 citation statements)

References 2 publications

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“…Because of the bending of IVUS catheter inside the vessel, the transducer pullback path could be shifted significantly away from the vessel centerline to reach a state of minimum bending energy, especially for the curved vessel segments. It has been reported that there was a significant delay from the moment the IVUS pullback machine was switched on and the moment the transducer tip really started to move [28]. This phenomenon could be explained by the stretching of the catheter to the minimum energy state before the transducer really started its pullback and hence, the transducer pullback path was expected to be shorter than the vessel centerline.…”

Section: Discussionmentioning

confidence: 95%

A novel three‐dimensional quantitative coronary angiography system: In‐vivo comparison with intravascular ultrasound for assessing arterial segment length

Huang

Koning

et al. 2010

Cathet Cardio Intervent

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Section: Discussionmentioning

confidence: 95%

A novel three‐dimensional quantitative coronary angiography system: In‐vivo comparison with intravascular ultrasound for assessing arterial segment length

Huang

Koning

et al. 2010

Cathet Cardio Intervent

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“…The way of placing this models along the 3D curve corresponding to the N U S pullback is by orienting the X-and Y-axis of the IVUS image with the normal and binormal of the curve, respectively [8]. This allows transforming the 2D curve models to a 3D Non-Rational B-Spline (NURB) surface in OpenGL (see figure 9).…”

Section: Three-dimensional Visualizationmentioning

confidence: 99%

ActiveVessel: a new multimedia workstation for intravascular ultrasound and angiography fusion

Rosales

Garcia

Pujol

et al. 2003

Computers in Cardiology, 2003

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AcriveVessel is a new multimedia workstation which enables the visualization, acquisition and handling of both image modalities, on-and ofline. It enables DICOM v3.0 decompression and browsing, video acquisition, repmduction and storage for IntraVascular UltraSound (IVUS) and angiograms with their corresponding ECG, automatic catheter segmentation in angiography images (using fast marching algorithm). BSpline models definition for vessel layers on IVUS images sequence and an extensively validated tool to fuse information. This approach defines the correspondence of every IVUS image with its correspondent point in the angiogram and vice versa. The 3 0 reconstruction of the N U S catheterhessel enables real distance measurements as well as threedimensional visualization showing vessel tortuosity in the space. IntroductionIn many clinical scenarios, images from several modalities may be acquired and the diagnostic task is to mentally combine or fuse this information to draw useful clinical conclusions. In particular, in cardiology physicians work on different image modalities none of which contains the complete information about the vascular disease. [I] Our first objective was to develop a new tool to easier the arduous task of conceptualization and mental combination of all this data coming from different instruments. Further, in many instances, this fusion process makes emerge new information that would not been easily deduced.from each image or signal modality by itself.In particular, our aim was to create a new application to fuse the information coming from the angiographic and the intravascular ultrasound equipments. But this first goal has lead us to the creation of Activevessel workstation which incorporates multimedia capabilities as video and audio acquisition, reproduction and storage for angiograms and NUS images with their corresponding ECG signal.It also handles relevant information about the patient and the study. A DICOM v3.0 decompressor and browser has also been implemented to manage angiographic data. An automatic segmentation method for the catheter present in the angiographic images, three-dimensional visualization of the vessel layers (extracted from the N U S information) in the space (incorporating tortuosity coming from the angiographies) in OpenGL and some relevant measurements as real 3D distance between two certain points in the vessel or refereing to a bifurcation, area between vessel layers and exact correspondence between IVUS (in long-and short-axis view) and angiographies are some other relevant capabilities of OUT application. ActiveVesselAs we mention in the introduction, the application has a wide range of capabilities so we will explain them in more detail chronologically from the moment the physician turns it on.As soon as the application starts up the physician decides if hdshe wants to start working online or offline.In the online process, the first thing needed is the information about the study and the patient which is asked by means of a form. As we will see, in the case...

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“…Conventional registration approaches [18–20] would require the reconstruction of the IVUS/OCT imaging wire or sheath from two angiographic views acquired, and assume it to be the pullback trajectory so that the IVUS/OCT cross-sectional images can be aligned along the trajectory. This is not a trivial task due to the difficulty in segmenting both IVUS/OCT imaging wire and vessel lumen and the requirement of a second angiographic view for the IVUS/OCT catheter, which is not always included in the current workflow.…”

Section: Xa-ivus/oct Registrationmentioning

confidence: 99%

Fusion of 3D QCA and IVUS/OCT

Holm

Koning

et al. 2011

Int J Cardiovasc Imaging

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The combination/fusion of quantitative coronary angiography (QCA) and intravascular ultrasound (IVUS)/optical coherence tomography (OCT) depends to a great extend on the co-registration of X-ray angiography (XA) and IVUS/OCT. In this work a new and robust three-dimensional (3D) segmentation and registration approach is presented and validated. The approach starts with standard QCA of the vessel of interest in the two angiographic views (either biplane or two monoplane views). Next, the vessel of interest is reconstructed in 3D and registered with the corresponding IVUS/OCT pullback series by a distance mapping algorithm. The accuracy of the registration was retrospectively evaluated on 12 silicone phantoms with coronary stents implanted, and on 24 patients who underwent both coronary angiography and IVUS examinations of the left anterior descending artery. Stent borders or sidebranches were used as markers for the validation. While the most proximal marker was set as the baseline position for the distance mapping algorithm, the subsequent markers were used to evaluate the registration error. The correlation between the registration error and the distance from the evaluated marker to the baseline position was analyzed. The XA-IVUS registration error for the 12 phantoms was 0.03 ± 0.32 mm (P = 0.75). One OCT pullback series was excluded from the phantom study, since it did not cover the distal stent border. The XA-OCT registration error for the remaining 11 phantoms was 0.05 ± 0.25 mm (P = 0.49). For the in vivo validation, two patients were excluded due to insufficient image quality for the analysis. In total 78 sidebranches were identified from the remaining 22 patients and the registration error was evaluated on 56 markers. The registration error was 0.03 ± 0.45 mm (P = 0.67). The error was not correlated to the distance between the evaluated marker and the baseline position (P = 0.73). In conclusion, the new XA-IVUS/OCT co-registration approach is a straightforward and reliable solution to combine X-ray angiography and IVUS/OCT imaging for the assessment of the extent of coronary artery disease. It provides the interventional cardiologist with detailed information about vessel size and plaque size at every position along the vessel of interest, making this a suitable tool during the actual intervention.

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Corresponding IVUS and angiogram image data

Cited by 9 publications

References 2 publications

A novel three‐dimensional quantitative coronary angiography system: In‐vivo comparison with intravascular ultrasound for assessing arterial segment length

A novel three‐dimensional quantitative coronary angiography system: In‐vivo comparison with intravascular ultrasound for assessing arterial segment length

ActiveVessel: a new multimedia workstation for intravascular ultrasound and angiography fusion

Fusion of 3D QCA and IVUS/OCT

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