Dr. Lyubomir Zagorchev Profile

Dr. Lyubomir Zagorchev

at Philips Research North America

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Publications (7)

Proceedings Article | 27 March 2009 Paper

Automatic quantification of neo-vasculature from micro-CT

Yogish Mallya, A. K. Narayanan, Lyubomir Zagorchev

Proceedings Volume 7259, 72594H (2009) https://doi.org/10.1117/12.811162

KEYWORDS: Blood vessels, Tumors, Tissues, 3D image processing, X-rays, Signal attenuation, Image segmentation, Bone, Fractal analysis, X-ray imaging

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Proceedings Article | 22 March 2007 Paper

Rapid fusion of 2D x-ray fluoroscopy with 3D multislice CT for image-guided electrophysiology procedures

Lyubomir Zagorchev, Robert Manzke, Ricardo Cury, Vivek Reddy, Raymond Chan

Proceedings Volume 6509, 65092B (2007) https://doi.org/10.1117/12.708180

KEYWORDS: X-rays, X-ray imaging, Fluoroscopy, Image registration, X-ray computed tomography, Visualization, Electrophysiology, Data modeling, 3D image processing, Radiography

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Proceedings Article | 22 March 2007 Paper

Augmenting CT cardiac roadmaps with segmented streaming ultrasound

Qi Duan, Guy Shechter, Luis Gutiérrez, Douglas Stanton, Lyubomir Zagorchev, Andrew Laine, Daniel Elgort

Proceedings Volume 6509, 65090V (2007) https://doi.org/10.1117/12.711431

KEYWORDS: Image segmentation, Ultrasonography, Image registration, X-ray computed tomography, 3D modeling, Finite element methods, 3D image processing, Computed tomography, Image resolution, Motion models

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Proceedings Article | 21 March 2007 Paper

Intraprocedural fusion of electroanatomical maps (EAM) with imaging data based on rapidly-sampled volumetric point clouds from continuous EAM catheter tracking

R. Chan, Z. Malchano, R. Vijaykumar, R. Manzke, L. Zagorchev, V. Reddy

Proceedings Volume 6509, 65090R (2007) https://doi.org/10.1117/12.709607

KEYWORDS: Image registration, Associative arrays, Image segmentation, Clouds, Imaging systems, Data fusion, Atrial fibrillation, Error analysis, Heart, Magnetic resonance imaging

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Image-guided therapy for electrophysiology applications requires integration of pre-procedural volumetric imaging data with intra-procedural electroanatomical mapping (EAM) information. Existing methods for fusion of EAM and imaging data are based on fiducial landmark identification or point-to-surface distance minimization algorithms, both of which require detailed EAM mapping. This mapping procedure requires specific selection of points on the endocardial surface and this point acquisition process is skill-dependent, time-consuming and labor-intensive. The mapping catheter tip must first be navigated to a landmark on the endocardium, tip contact must be verified, and finally the tip location must be explicitly annotated within the EAM data record. This process of individual landmark identification and annotation must be repeated carefully >50 times to define endocardial and other vascular surfaces with sufficient detail for iterated-closest-point (ICP)-based registration. To achieve this, 30-45 minutes of mapping just for the registration procedure can be necessary before the interventional component of the patient study begins. Any acquired EAM point location that is not in contact with the chamber surface can adversely impact the quality of registration. Significantly faster point acquisition can be achieved by recording catheter tip locations automatically and continuously without requiring explicit navigation to and annotation of fiducial landmarks. We present a novel registration framework in which EAM locations are rapidly acquired and recorded in a continuous, untriggered fashion while the electrophysiologist manipulates the catheter tip within the heart. Results from simulation indicate that mean registration errors are on the order of 3-4mm, comparable in magnitude to conventional registration procedures which take significantly longer to perform. Qualitative assessment in clinical data also reflects good agreement with physician expectations.

Proceedings Article | 21 March 2007 Paper

Multimodality image guidance system integrating x-ray fluoroscopy and ultrasound image streams with electromagnetic tracking

Luis Gutiérrez, Guy Shechter, Douglas Stanton, Sandeep Dalal, Daniel Elgort, Robert Manzke, Raymond Chan, Lyubomir Zagorchev

Proceedings Volume 6509, 65090K (2007) https://doi.org/10.1117/12.711527

KEYWORDS: X-rays, Ultrasonography, X-ray imaging, Imaging systems, Image registration, Electromagnetism, Computer programming, Sensors, 3D acquisition, 3D modeling

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Proceedings Article | 21 March 2007 Paper

Rotational x-ray angiography: a method for intra-operative volume imaging of the left-atrium and pulmonary veins for atrial fibrillation ablation guidance

R. Manzke, L. Zagorchev, A. d'Avila, A. Thiagalingam, V. Reddy, R. Chan

Proceedings Volume 6509, 65090T (2007) https://doi.org/10.1117/12.708485

KEYWORDS: Image segmentation, Heart, Atrial fibrillation, Data modeling, Magnetic resonance imaging, 3D modeling, X-ray imaging, Veins, Data acquisition, 3D acquisition

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Proceedings Article | 13 March 2006 Paper

Flow visualization for qualitative assessment of brain shift

Lyubomir Zagorchev, Ardeshir Goshtasby, Martin Satter

Proceedings Volume 6141, 614127 (2006) https://doi.org/10.1117/12.649900

KEYWORDS: Brain, Visualization, Neuroimaging, Image registration, Surgery, Spherical lenses, Detection and tracking algorithms, Rigid registration, Magnetic resonance imaging, Tumors

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