Interactive Registration and Visualization of Cardiac Video and Angiography

Friedl, Sven; Wittenberg, Thomas; Kondruweit, M.

doi:10.1007/978-3-642-03882-2_124

Cited by 2 publications

(3 citation statements)

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“…Dies ist in vielen Fällen ausreichend und mangels besserer Methoden gängige Praxis. Durch Überlagerung des Videodatenstroms der Herzoberfläche mit den zugehörigen Angiografiedaten ist es beispielsweise möglich, präoperativ aufgenommene Bilder und Planungsdaten während des Eingriffs am Operationsgebiet verfügbar zu machen [22,23]. Basierend auf durch den Chirurgen interaktiv gesetzten Punktkorrespondenzen in beiden Bildmodalitäten (vgl.…”

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Computer-integrierte Endoskopie

Wittenberg

Münzenmayer

2011

Endo heute

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Endoscopic examinations of the inside of the human body have been known since Hippocrates. Nevertheless, the breakthrough of endoscopy came not until the development of Bozzinis "Lichtleiter". Further progress and advancements in diagnostic endoscopy were reached by the use of electric light for illumination as well as glass fibers for the transmission of light into and image information out of the human body. By the integration of video sensors at the proximal or distal end of rigid or flexible endoscopes, it became possible in the last quarter of the last century to observe the inside of the human body not only via the ocular, but also to capture and use still images and video sequences for documentation, research and education, independent from the presence of the patients. Furthermore, the meanwhile well advanced age of digital technologies facilitates the possibility, not only to transmit and store endoscopically acquired images and sequences from inside the human body in real time through the internet towards almost every arbitrary computer, but likewise opens the currently unused possibilities, to manipulate these images for a modified view for the operator, and furthermore condition, evaluate and analyze them using computers. Specifically, the new possibilities to automatically analyze the content of endoscopic imagery and the application of the extracted information for enhanced documentation, diagnosis and treatment shall be sketched out in this contribution. The field of application of such new methods of digital image processing and analysis include automatic image enhancement such as the intelligent removal of honey comb patterns in fiberscopic images, temporal image filtering, as well as the rectification of rotated images; new possibilities of view extension (augmentation) using panorama endoscopy and the overlay of endoscopic views with preoperative imagery and planning data; and computer aided detection of dysplasia and tumors (CADe) as well as computer-assisted diagnose (CADx). As these possibilities of endoscopy are inherently coupled with the use of computers, these methods and applications can be referred to as new endoscopic "computer-integrated" endoscopy

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“…Präoperatives Angiografiebild mit Landmarken, b intraoperatives Video des Herzens mit Landmarken, c Überlagerung beider Modalitäten (aus[23]). Beispiele für die Anwendungen solcher CADx-Systeme in der Endoskopie sind Differenzierung von Gewebe bei Barrett-Ösophagus[32], in der Koloskopie[33], der Kolposkopie[34], der Zystoskopie oder der Bronchoskopie[31,35].…”

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Computer-integrierte Endoskopie

Wittenberg

Münzenmayer

2011

Endo heute

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“…There, corresponding landmarks in both image modalities, angiography and live video, have to be matched in real time to provide a mapping of corresponding anatomical structures. Due to the movement of the situs in the live video, the given landmarks have to be tracked and the mapping has to be adopted steadily [1,2].…”

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Natural landmark tracking using triangle-based optical flow

Friedl

Herdt

Kondruweit

et al. 2012

Biomedical Engineering / Biomedizinische Technik

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Tracking of manually defined natural landmarks in image sequences is a crucial task. The chosen landmarks are usually not related to "good features" in the sense of tracking methods. Thus, established tracking methods do not achieve accurate trajectories. Hence, in this contribution, a triangle-based optical flow approach is presented to stabilize the tracking of landmarks, which avoids drifting of the tracked landmarks. Triangulation is performed based on a defined ROI resulting in a mesh of triangles with uniform size. For each image frame, the optical flow is computed within the ROI. Based on the mean optical flow vector under each triangle area, the three corner points are shifted and realigned by averaging connected corners. Resulting in a deformation of the triangle mesh, a translation vector for the manually defined landmarks can be determined by interpolating the deformation of the corresponding area point of the relevant triangle. The proposed approach has been evaluated on intra-operative video recordings of bypass interventions in cardiac surgery, visualizing pre-operative angiography images as deformed overlays. While with standard methods the feature points are often lost after some frames or tend to drift in another than the real direction, the triangle-based optical flow stabilizes the drift of the feature points and leads to more accurate trajectories over a longer amount of time.

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Interactive Registration and Visualization of Cardiac Video and Angiography

Cited by 2 publications

References 1 publication

Computer-integrierte Endoskopie

Computer-integrierte Endoskopie

Natural landmark tracking using triangle-based optical flow

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