A Novel Method for Direct Correlation of Angiography and Endovascular Diagnostic Tools in Human Coronary Arteries in Vivo.

Rieber, Johannes; Prummer, Simone; Schmidt, Martin; Rittger, Harald

doi:10.1016/s0735-1097(10)62066-9

Cited by 3 publications

(1 citation statement)

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“…However, the lack of the vessel orientation information makes it difficult to fully understand the spatial structure of vessels. The co-registration of the two image modalities will combine the high spatial resolution from the IVUS data with the good overview and 2D/3D orientation obtained from angiography, facilitating the usage of IVUS in cathlab and improving clinical outcome of cardiac interventions [1,2].…”

Section: Introductionmentioning

confidence: 99%

Image-Based Device Tracking for the Co-registration of Angiography and Intravascular Ultrasound Images

Wang

Chen

Ecabert

et al. 2011

Lecture Notes in Computer Science

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The accurate and robust tracking of catheters and transducers employed during image-guided coronary intervention is critical to improve the clinical workflow and procedure outcome. Image-based device detection and tracking methods are preferred due to the straightforward integration into existing medical equipments. In this paper, we present a novel computational framework for image-based device detection and tracking applied to the co-registration of angiography and intravascular ultrasound (IVUS), two modalities commonly used in interventional cardiology. The proposed system includes learning-based detections, modelbased tracking, and registration using the geodesic distance. The system receives as input the selection of the coronary branch under investigation in a reference angiography image. During the subsequent pullback of the IVUS transducers, the system automatically tracks the position of the medical devices, including the IVUS transducers and guiding catheter tips, under fluoroscopy imaging. The localization of IVUS transducers and guiding catheter tips is used to continuously associate an IVUS imaging plane to the vessel branch under investigation. We validated the system on a set of 65 clinical cases, with high accuracy (mean errors less than 1.5mm) and robustness (98.46% success rate). To our knowledge, this is the first reported system able to automatically establish a robust correspondence between the angiography and IVUS images, thus providing clinicians with a comprehensive view of the coronaries.

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Section: Introductionmentioning

confidence: 99%

Image-Based Device Tracking for the Co-registration of Angiography and Intravascular Ultrasound Images

Wang

Chen

Ecabert

et al. 2011

Lecture Notes in Computer Science

Self Cite

View full text Add to dashboard Cite

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Image-based Co-Registration of Angiography and Intravascular Ultrasound Images

Wang

Ecabert

Chen

et al. 2013

IEEE Trans. Med. Imaging

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In image-guided cardiac interventions, X-ray imaging and intravascular ultrasound (IVUS) imaging are two often used modalities. Interventional X-ray images, including angiography and fluoroscopy, are used to assess the lumen of the coronary arteries and to monitor devices in real time. IVUS provides rich intravascular information, such as vessel wall composition, plaque, and stent expansions, but lacks spatial orientations. Since the two imaging modalities are complementary to each other, it is highly desirable to co-register the two modalities to provide a comprehensive picture of the coronaries for interventional cardiologists. In this paper, we present a solution for co-registering 2-D angiography and IVUS through image-based device tracking. The presented framework includes learning-based vessel detection and device detections, model-based tracking, and geodesic distance-based registration. The system first interactively detects the coronary branch under investigation in a reference angiography image. During the pullback of the IVUS transducers, the system acquires both ECG-triggered fluoroscopy and IVUS images, and automatically tracks the position of the medical devices in fluoroscopy. The localization of tracked IVUS transducers and guiding catheter tips is used to associate an IVUS imaging plane to a corresponding location on the vessel branch under investigation. The presented image-based solution can be conveniently integrated into existing cardiology workflow. The system is validated with a set of clinical cases, and achieves good accuracy and robustness.

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Cascade Attention Machine for Occluded Landmark Detection in 2D X-Ray Angiography

Zhang

Singh

et al. 2019

2019 IEEE Winter Conference on Applications of Computer Vision (WACV)

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A Novel Method for Direct Correlation of Angiography and Endovascular Diagnostic Tools in Human Coronary Arteries in Vivo.

Cited by 3 publications

References 0 publications

Image-Based Device Tracking for the Co-registration of Angiography and Intravascular Ultrasound Images

Image-Based Device Tracking for the Co-registration of Angiography and Intravascular Ultrasound Images

Image-based Co-Registration of Angiography and Intravascular Ultrasound Images

Cascade Attention Machine for Occluded Landmark Detection in 2D X-Ray Angiography

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