Dr. Elliot McVeigh Profile

Dr. Elliot McVeigh

Sr. Investigator at National Institutes of Health

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Author

Publications (15)

Proceedings Article | 20 March 2015 Paper

Image-based reconstruction of 3D myocardial infarct geometry for patient specific applications

Eranga Ukwatta, Martin Rajchl, James White, Farhad Pashakhanloo, Daniel Herzka, Elliot McVeigh, Albert Lardo, Natalia Trayanova, Fijoy Vadakkumpadan

Proceedings Volume 9413, 94132W (2015) https://doi.org/10.1117/12.2082113

KEYWORDS: Image segmentation, 3D image reconstruction, 3D image processing, Heart, Image resolution, Binary data, 3D modeling, Resonance enhancement, 3D acquisition, Magnetism

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Proceedings Article | 27 February 2010 Paper

A 3D-elastography-guided system for laparoscopic partial nephrectomies

Philipp Stolka, Matthias Keil, Georgios Sakas, Elliot McVeigh, Mohamad Allaf, Russell Taylor, Emad Boctor

Proceedings Volume 7625, 76251I (2010) https://doi.org/10.1117/12.844589

KEYWORDS: Tumors, Kidney, Ultrasonography, Image registration, Laparoscopy, Computed tomography, Imaging systems, Sensors, 3D modeling, Video

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We present an image-guided intervention system based on tracked 3D elasticity imaging (EI) to provide a novel interventional modality for registration with pre-operative CT. The system can be integrated in both laparoscopic and robotic partial nephrectomies scenarios, where this new use of EI makes exact intra-operative execution of pre-operative planning possible. Quick acquisition and registration of 3D-B-Mode and 3D-EI volume data allows intra-operative registration with CT and thus with pre-defined target and critical regions (e.g. tumors and vasculature). Their real-time location information is then overlaid onto a tracked endoscopic video stream to help the surgeon avoid vessel damage and still completely resect tumors including safety boundaries. The presented system promises to increase the success rate for partial nephrectomies and potentially for a wide range of other laparoscopic and robotic soft tissue interventions. This is enabled by the three components of robust real-time elastography, fast 3D-EI/CT registration, and intra-operative tracking. With high quality, robust strain imaging (through a combination of parallelized 2D-EI, optimal frame pair selection, and optimized palpation motions), kidney tumors that were previously unregistrable or sometimes even considered isoechoic with conventional B-mode ultrasound can now be imaged reliably in interventional settings. Furthermore, this allows the transformation of planning CT data of kidney ROIs to the intra-operative setting with a markerless mutual-information-based registration, using EM sensors for intraoperative motion tracking. Overall, we present a complete procedure and its development, including new phantom models - both ex vivo and synthetic - to validate image-guided technology and training, tracked elasticity imaging, real-time EI frame selection, registration of CT with EI, and finally a real-time, distributed software architecture. Together, the system allows the surgeon to concentrate on intervention completion with less time pressure.

Proceedings Article | 29 March 2007 Paper

Estimation of 3D myocardial motion from tagged MRI using LDDMM

Vinay Kotamraju, Elliot McVeigh, Mirza Faisal Beg

Proceedings Volume 6511, 65112H (2007) https://doi.org/10.1117/12.710115

KEYWORDS: Image segmentation, Motion estimation, Magnetic resonance imaging, Image registration, Tissues, Reconstruction algorithms, Visualization, 3D image processing, Medical imaging, Modulation

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Proceedings Article | 21 March 2007 Open Access

New methods for image guidance and visualization for cardiac procedures

Michael Guttman, Elliot McVeigh

Proceedings Volume 6509, 65090S (2007) https://doi.org/10.1117/12.718223

KEYWORDS: Magnetic resonance imaging, Visualization, Scanners, Image visualization, Surgery, 3D acquisition, Heart, 3D displays, Tissues, LCDs

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Proceedings Article | 13 March 2006 Paper

Targeted endomyocardial injections of therapeutic cells using x-ray fused with MRI guidance

Luis Gutiérrez, Ranil de Silva, Elliot McVeigh, Cengizhan Ozturk, Robert Lederman

Proceedings Volume 6141, 614113 (2006) https://doi.org/10.1117/12.654279

KEYWORDS: Magnetic resonance imaging, Heart, Image segmentation, Image registration, Image fusion, 3D image processing, X-rays, Tissues, In vivo imaging, 3D acquisition

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Proceedings Article | 12 April 2005 Paper

Distortion correction, calibration, and registration: toward an integrated MR and x-ray interventional suite

Luis Gutierrez, Guy Shechter, Robert Lederman, Elliot McVeigh, Cengizhan Ozturk

Proceedings Volume 5744, (2005) https://doi.org/10.1117/12.597823

KEYWORDS: Image registration, Magnetic resonance imaging, 3D image reconstruction, Calibration, Distortion, Image segmentation, X-rays, X-ray imaging, 3D image processing, Electrons

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Proceedings Article | 30 April 2004 Paper

Free-breathing respiratory motion of the heart measured from x-ray coronary angiograms (Second Place Student Paper Award)

Guy Shechter, Cengizhan Ozturk, Jon Resar, Elliot McVeigh

Proceedings Volume 5369, (2004) https://doi.org/10.1117/12.537101

KEYWORDS: Heart, 3D modeling, Motion models, Angiography, Motion measurement, Arteries, Magnetic resonance imaging, 3D image processing, Solids, 3D acquisition

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Proceedings Article | 9 May 2002 Paper

Temporal tracking of 3D coronary arteries in projection angiograms

Guy Shechter, Frederic Devernay, Eve Coste-Maniere, Elliot McVeigh

Proceedings Volume 4684, (2002) https://doi.org/10.1117/12.467204

KEYWORDS: 3D modeling, Arteries, 3D image processing, Motion models, Solids, Angiography, Image segmentation, Distortion, Image registration, 3D image reconstruction

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Proceedings Article | 28 May 2001 Paper

3D MR imaging in real time

Michael Guttman, Elliot McVeigh

Proceedings Volume 4319, (2001) https://doi.org/10.1117/12.428080

KEYWORDS: Real time imaging, 3D image processing, Magnetic resonance imaging, Volume rendering, Stereoscopy, Visualization, Medium wave, Laser scanners, 3D scanning, Data acquisition

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Proceedings Article | 20 April 2000 Paper

Motion analysis of both ventricles using tagged MRI

Cengizhan Ozturk, Elliot McVeigh

Proceedings Volume 3978, (2000) https://doi.org/10.1117/12.383402

KEYWORDS: Magnetic resonance imaging, Heart, Motion analysis, Neodymium, Image segmentation, Pathology, Silicon, Physiology, Information operations, Computer programming

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Proceedings Article | 20 April 2000 Paper

Torsion of the left ventricle during pacing with MRI tagging

Jonathan Sorger, Bradley Wyman, Owen Faris, William Hunter, Elliot McVeigh

Proceedings Volume 3978, (2000) https://doi.org/10.1117/12.383401

KEYWORDS: Heart, Magnetic resonance imaging, Mechanics, Scanners, Chest, Magnetism, Veins, Optical filters, Electronic filtering, Motion measurement

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Proceedings Article | 18 April 2000 Paper

Interactive four-dimensional segmentation of multiple image sets

Guy Shechter, Cengizhan Ozturk, Elliot McVeigh

Proceedings Volume 3976, (2000) https://doi.org/10.1117/12.383038

KEYWORDS: Image segmentation, Heart, Visualization, Software development, Data modeling, Image visualization, Polonium, 3D modeling, Image processing, Natural surfaces

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Proceedings Article | 20 May 1999 Paper

Use of a 4D planispheric transformation for the tracking and analysis of LV motion with tagged MR images

Jerome Declerck, Nicholas Ayache, Elliot McVeigh

Proceedings Volume 3660, (1999) https://doi.org/10.1117/12.349625

KEYWORDS: Motion models, Heart, Magnetic resonance imaging, Motion analysis, Spherical lenses, Tissues, Cardiac imaging, Strain analysis, Tin, Computer simulations

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Proceedings Article | 20 May 1999 Paper

Four-dimensional B-spline-based motion analysis of tagged cardiac MR images

Cengizhan Ozturk, Elliot McVeigh

Proceedings Volume 3660, (1999) https://doi.org/10.1117/12.349623

KEYWORDS: Magnetic resonance imaging, Heart, Image segmentation, Motion analysis, Tissues, Data modeling, Motion measurement, Computer programming, 3D image processing, Imaging systems

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Proceedings Article | 1 May 1994 Paper

Visualization and analysis of functional cardiac MRI data

Elliot McVeigh, Michael Guttman, Eric Poon, Chandrasekhar Pisupati, Christopher Moore, Elias Zerhouni, Meiyappan Solaiyappan, PhengAnn Heng

Proceedings Volume 2168, (1994) https://doi.org/10.1117/12.174420

KEYWORDS: Heart, Visualization, Magnetic resonance imaging, Volume rendering, Visual analytics, Cardiovascular magnetic resonance imaging, Image visualization, Control systems, Volume visualization, Software development

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Showing 5 of 15 publications

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