Dr. Robert M. Manzke Profile

Dr. Robert M. Manzke

Senior Member Research at Philips Research

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Author

Publications (14)

Proceedings Article | 24 February 2010 Paper

Catheter tracking in asynchronous biplane fluoroscopy images by 3D B-snakes

Marcel Schenderlein, Susanne Stierlin, Robert Manzke, Volker Rasche, Klaus Dietmayer

Proceedings Volume 7625, 76251U (2010) https://doi.org/10.1117/12.844158

KEYWORDS: 3D image processing, Detection and tracking algorithms, 3D acquisition, Fluoroscopy, Reconstruction algorithms, X-rays, X-ray imaging, 3D modeling, Visualization, 3D image reconstruction

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Proceedings Article | 24 February 2010 Paper

Respiratory motion compensated overlay of surface models from cardiac MR on interventional x-ray fluoroscopy for guidance of cardiac resynchronization therapy procedures

R. Manzke, A. Bornstedt, A. Lutz, M. Schenderlein, V. Hombach, L. Binner, V. Rasche

Proceedings Volume 7625, 762508 (2010) https://doi.org/10.1117/12.843123

KEYWORDS: Cardiovascular magnetic resonance imaging, CRTs, Lead, X-rays, X-ray imaging, Veins, Heart, Angiography, Magnetic resonance imaging, Image segmentation

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Proceedings Article | 27 March 2009 Paper

A multi-modality segmentation framework: application to fully automatic heart segmentation

Carsten Meyer, Olivier Ecabert, Jochen Peters, Reinhard Kneser, Robert Manzke, Raymond Chan, Jürgen Weese

Proceedings Volume 7259, 72594L (2009) https://doi.org/10.1117/12.810919

KEYWORDS: Image segmentation, 3D image processing, Magnetic resonance imaging, X-ray computed tomography, 3D modeling, Heart, X-rays, Target detection, Data modeling, Calibration

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Proceedings Article | 6 March 2009 Paper

Novel echocardiographic prediction of non-response to cardiac resynchronization therapy

R. Chan, F. Tournoux, A. Tournoux, V. Nandigam, R. Manzke, S. Dalal, J. Solis-Martin, D. McCarty, J. Ruskin, M. Picard, A. Weyman, J. Singh

Proceedings Volume 7262, 726229 (2009) https://doi.org/10.1117/12.811875

KEYWORDS: CRTs, Heart, Tissues, Doppler effect, MATLAB, Medicine, Hemodynamics, Echocardiography, Atrial fibrillation, Imaging systems

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Proceedings Article | 17 March 2008 Paper

Epicardial ablation guidance using coronary arterial models and live fluoroscopic overlay registrations

R. Manzke, A. Thiagalingam, B. Movassaghi, A. d'Avila, V. Reddy, R. Chan

Proceedings Volume 6918, 69181S (2008) https://doi.org/10.1117/12.770271

KEYWORDS: 3D modeling, Arteries, Animal model studies, X-rays, Angiography, Motion models, Fluoroscopy, Visualization, 3D acquisition, Sensors

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Proceedings Article | 13 March 2008 Paper

Image-based speckle tracking for tissue motion characterization in a deformable cardiovascular phantom

R. Chan, R. Manzke, S. Dalal, D. Stanton, P. Chang, S. Settlemier, I. Salgo, F. Tournoux

Proceedings Volume 6920, 69200U (2008) https://doi.org/10.1117/12.770631

KEYWORDS: Tissues, Speckle, Computed tomography, Ultrasonography, Prototyping, Crystals, Medical research, Detection and tracking algorithms, Acoustics, Imaging systems

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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 | 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 | 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 | 13 March 2006 Paper

Integration of real-time x-ray fluoroscopy, rotational x-ray imaging, and real-time catheter tracking for improved navigation in interventional cardiac electrophysiology procedures

R. Manzke, R. Chan, G. Shechter, S. Sokka, D. Stanton, Z. Malchano, V. Rasche, V. Reddy

Proceedings Volume 6141, 614112 (2006) https://doi.org/10.1117/12.651715

KEYWORDS: X-rays, X-ray imaging, 3D image processing, Visualization, Fluoroscopy, 3D acquisition, Data acquisition, Electrophysiology, Sensors, Image registration

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Proceedings Article | 10 March 2006 Paper

Non-rigid registration for fusion of carotid vascular ultrasound and MRI volumetric datasets

R. Chan, S. Sokka, D. Hinton, R. Manzke, A. Hanekamp, V. Reddy, M. Kaazempur-Mofrad, V. Rasche

Proceedings Volume 6144, 61442E (2006) https://doi.org/10.1117/12.651786

KEYWORDS: Magnetic resonance imaging, Ultrasonography, Image registration, Arteries, 3D image processing, Imaging systems, Tissues, Spatial resolution, Transducers, Image segmentation

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Proceedings Article | 12 May 2004 Paper

Automatic phase point determination for cardiac CT imaging

Robert Manzke, Michael Grass, Tim Nielsen, Thomas Koehler, David Hawkes

Proceedings Volume 5370, (2004) https://doi.org/10.1117/12.534108

KEYWORDS: Heart, Computed tomography, Image quality, Electrocardiography, Arteries, Spatial resolution, Data acquisition, Imaging systems, Scanners, Temporal resolution

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Proceedings Article | 12 May 2004 Paper

Iterative cardiac cone-beam CT reconstruction

Tim Nielsen, Robert Manzke, Thomas Koehler, Michael Grass, Roland Proksa

Proceedings Volume 5370, (2004) https://doi.org/10.1117/12.534847

KEYWORDS: Heart, CT reconstruction, Reconstruction algorithms, Computed tomography, Detection and tracking algorithms, Scanners, Image quality, Medical imaging, Image processing, Image resolution

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Showing 5 of 14 publications

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