Dr. Paul F. Hemler Profile

Dr. Paul F. Hemler

Professor at Hampden-Sydney College

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Author

Publications (23)

Proceedings Article | 17 March 2008 Paper

Java based volume rendering frameworks

Ruida Cheng, Alexandra Bokinsky, Paul Hemler, Evan McCreedy, Matthew McAuliffe

Proceedings Volume 6918, 691804 (2008) https://doi.org/10.1117/12.770529

KEYWORDS: Volume rendering, Visualization, Java, Opacity, Composites, OpenGL, Computer programming, Ray tracing, Image quality, 3D image processing

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Proceedings Article | 7 March 2007 Paper

Segmentation of magnetic resonance images of the thighs for a new National Institutes of Health initiative

A. Monzon, P. Hemler, M. Nalls, T. Manini, B. Clark, T. Harris, M. McAuliffe

Proceedings Volume 6512, 65123L (2007) https://doi.org/10.1117/12.708269

KEYWORDS: Image segmentation, Bone, Tissues, Magnetic resonance imaging, Image processing, Magnetism, Image processing algorithms and systems, Imaging systems, Computing systems, Medical imaging

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Proceedings Article | 15 March 2006 Paper

Vasculature segmentation for radio frequency ablation of non-resectable hepatic tumors

Paul Hemler, Evan McCreedy, Ruida Cheng, Brad Wood, Matthew McAuliffe

Proceedings Volume 6144, 61443K (2006) https://doi.org/10.1117/12.649990

KEYWORDS: Image segmentation, Liver, Blood vessels, Tumors, Radiofrequency ablation, Digital filtering, Tissues, Image filtering, Diffusion, 3D image processing

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Proceedings Article | 10 March 2006 Paper

Assessment of radio frequency of hepatic tumors

Paul Hemler, Evan McCreedy, Ruida Cheng, Brad Wood, Matthew McAuliffe

Proceedings Volume 6141, 61412F (2006) https://doi.org/10.1117/12.649988

KEYWORDS: Tumors, Image registration, Radiofrequency ablation, Tissues, Liver, Computed tomography, Visualization, Image segmentation, Manufacturing, 3D image processing

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Proceedings Article | 12 May 2004 Paper

Performance evaluation of multiscale vessel enhancement filtering

Paul Hemler, Evan McCreedy, Matthew McAuliffe

Proceedings Volume 5370, (2004) https://doi.org/10.1117/12.535675

KEYWORDS: Blood vessels, Liver, Image segmentation, 3D image processing, Computer simulations, Image filtering, Image enhancement, Computed tomography, Radiofrequency ablation, Gaussian filters

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Proceedings Article | 5 June 2003 Paper

Volumetric restoration of tuned-aperture computed tomography

Paul Hemler, Timothy Persons, Robert Plemmons

Proceedings Volume 5030, (2003) https://doi.org/10.1117/12.479984

KEYWORDS: Point spread functions, Image restoration, Computed tomography, Reconstruction algorithms, 3D image restoration, 3D image processing, Filtering (signal processing), 3D image reconstruction, CT reconstruction, Medical imaging

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Proceedings Article | 5 June 2003 Paper

Improved 3D reconstructions for generalized tomosynthesis

Paul Hemler, Stephen Robinson

Proceedings Volume 5030, (2003) https://doi.org/10.1117/12.479978

KEYWORDS: X-ray sources, Reconstruction algorithms, Detector arrays, Head, Tumors, 3D image processing, Computed tomography, X-rays, Distortion, Sensors

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Proceedings Article | 3 July 2001 Paper

Reconstruction of 3D angiography data using the algebraic reconstruction technique (ART)

Carnell Hampton, Paul Hemler

Proceedings Volume 4322, (2001) https://doi.org/10.1117/12.430990

KEYWORDS: Reconstruction algorithms, Angiography, 3D acquisition, 3D image processing, X-rays, 3D image reconstruction, Stereoscopy, Software development, X-ray imaging, Visualization

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Proceedings Article | 4 October 2000 Paper

Geometric problem in medical imaging

Stephen Robinson, Paul Hemler, Richard Webber

Proceedings Volume 4121, (2000) https://doi.org/10.1117/12.402442

KEYWORDS: X-ray sources, X-ray detectors, Sensors, Detection and tracking algorithms, X-rays, X-ray imaging, Image processing, Medical imaging, Algorithms, Matrices

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Proceedings Article | 6 June 2000 Paper

Modeling and error identification on three-dimensional tomosynthetic reconstructions

Paul Hemler, Richard Webber, Fredrick Fahey

Proceedings Volume 3979, (2000) https://doi.org/10.1117/12.387636

KEYWORDS: Detector arrays, X-ray sources, 3D modeling, 3D image processing, Sensors, 3D image reconstruction, X-rays, Binary data, X-ray imaging, Volume rendering

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Proceedings Article | 18 April 2000 Paper

Brachytherapy volume visualization

Timothy Persons, Richard Webber, Paul Hemler, Wolfram Bettermann, J. Daniel Bourland

Proceedings Volume 3976, (2000) https://doi.org/10.1117/12.383064

KEYWORDS: Visualization, 3D image processing, Imaging systems, Sensors, Radiography, Computed tomography, Image visualization, Optical spheres, Source localization, Volume visualization

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Proceedings Article | 14 April 2000 Paper

Objective evaluation of linear and nonlinear tomosynthetic reconstruction algorithms

Richard Webber, Paul Hemler, John Lavery

Proceedings Volume 3981, (2000) https://doi.org/10.1117/12.383114

KEYWORDS: Reconstruction algorithms, Tissues, Chest, Breast, Signal attenuation, Sensors, Visualization, Radiography, Statistical analysis, Mammography

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Proceedings Article | 28 May 1999 Paper

Elimination of tomosynthetic artifacts through integration of orthogonal volume sets

Timothy Persons, Paul Hemler, Richard Webber, Hunter Underhill

Proceedings Volume 3659, (1999) https://doi.org/10.1117/12.349575

KEYWORDS: Sensors, 3D image processing, Visualization, Optical spheres, 3D visualizations, Composites, Diagnostics, Image registration, Computed tomography, 3D image reconstruction

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Proceedings Article | 28 May 1999 Paper

Nonlinear algorithm for task-specific tomosynthetic image reconstruction

Richard Webber, Hunter Underhill, Paul Hemler, John Lavery

Proceedings Volume 3659, (1999) https://doi.org/10.1117/12.349500

KEYWORDS: Diagnostics, Image processing, Reconstruction algorithms, Tissues, X-rays, Breast, Deconvolution, Cancer, Data processing, Tomography

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Proceedings Article | 9 May 1997 Paper

Virtual endoscopy: quicker and easier disease evaluation

David Vining, Paul Hemler, David Stelts, David Ahn, Yaorong Ge, Gordon Hunt, Christopher Siege, Danny McCorquodale, David Honea

Proceedings Volume 3033, (1997) https://doi.org/10.1117/12.274067

KEYWORDS: Colon, Computed tomography, Endoscopy, Visualization, Image segmentation, Volume rendering, 3D modeling, CT reconstruction, Computing systems, Image storage

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Proceedings Article | 7 May 1997 Paper

Surface smoothing for enhanced 3D medical visualization

Christopher Siege, Paul Hemler, David Vining

Proceedings Volume 3031, (1997) https://doi.org/10.1117/12.273938

KEYWORDS: Visualization, Colon, Light sources and illumination, Medical imaging, Computed tomography, 3D visualizations, Visual process modeling, Algorithm development, Silicon, Surgery

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Proceedings Article | 7 May 1997 Paper

Automated virtual colonoscopy

Gordon Hunt, Paul Hemler, David Vining

Proceedings Volume 3031, (1997) https://doi.org/10.1117/12.273933

KEYWORDS: Colon, Virtual colonoscopy, 3D image processing, Computed tomography, 3D modeling, Visualization, Interfaces, Visual analytics, Tissues, Signal attenuation

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Proceedings Article | 25 April 1997 Paper

Lymph node segmentation using active contours

David Honea, Yaorong Ge, Wesley Snyder, Paul Hemler, David Vining

Proceedings Volume 3034, (1997) https://doi.org/10.1117/12.274116

KEYWORDS: Image segmentation, Lymphatic system, X-ray computed tomography, X-ray imaging, Computer programming, X-rays, Tissues, Edge detection, 3D image processing, Image quality

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Proceedings Article | 16 April 1996 Paper

Quantified registration error versus the accuracy of registered surfaces for a multimodality surface-based registration system

Paul Hemler, Thilaka Sumanaweera, Petra van den Elsen, Sandy Napel, John Adler

Proceedings Volume 2710, (1996) https://doi.org/10.1117/12.237937

KEYWORDS: Image registration, Computed tomography, Skin, Magnetic resonance imaging, Distortion, Brain, Computing systems, Image segmentation, Neuroimaging, Error analysis

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Proceedings Article | 16 April 1996 Paper

Comparison and evaluation of retrospective intermodality image registration techniques

Jay West, J. Michael Fitzpatrick, Matthew Wang, Benoit Dawant, Calvin Maurer, Robert Kessler, Robert Maciunas, Christian Barillot, Didier Lemoine, Andre Collignon, Frederik Maes, Paul Suetens, Dirk Vandermeulen, Petra van den Elsen, Paul Hemler, Sandy Napel, Thilaka Sumanaweera, Beth Harkness, Derek Hill, Colin Studholme, Gregoire Malandain, Xavier Pennec, Marilyn Noz, Gerald Maguire, Michael Pollack, Charles Pelizzari, Richard Robb, Dennis Hanson, Roger Woods

Proceedings Volume 2710, (1996) https://doi.org/10.1117/12.237936

KEYWORDS: Image registration, Magnetic resonance imaging, Positron emission tomography, Computed tomography, Gold, Distortion, Image segmentation, Error analysis, Brain, Image processing

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All retrospective image registration methods have attached to them some intrinsic estimate of registration error. However, this estimate of accuracy may not always be a good indicator of the distance between actual and estimated positions of targets within the cranial cavity. This paper describes a project whose principal goal is to use a prospective method based on fiducial markers as a 'gold standard' to perform an objective, blinded evaluation of the accuracy of several retrospective image-to-image registration techniques. Image volumes of three modalities -- CT, MR, and PET -- were taken of patients undergoing neurosurgery at Vanderbilt University Medical Center. These volumes had all traces of the fiducial markers removed, and were provided to project collaborators outside Vanderbilt, who then performed retrospective registrations on the volumes, calculating transformations from CT to MR and/or from PET to MR, and communicated their transformations to Vanderbilt where the accuracy of each registration was evaluated. In this evaluation the accuracy is measured at multiple 'regions of interest,' i.e. areas in the brain which would commonly be areas of neurological interest. A region is defined in the MR image and its centroid C is determined. Then the prospective registration is used to obtain the corresponding point C' in CT or PET. To this point the retrospective registration is then applied, producing C' in MR. Statistics are gathered on the target registration error (TRE), which is the disparity between the original point C and its corresponding point C'. A second goal of the project is to evaluate the importance of correcting geometrical distortion in MR images, by comparing the retrospective TRE in the rectified images, i.e., those which have had the distortion correction applied, with that of the same images before rectification. This paper presents preliminary results of this study along with a brief description of each registration technique and an estimate of both preparation and execution time needed to perform the registration .

Proceedings Article | 11 April 1996 Paper

Fast spin echo image distortion correction for MR-guided stereotactic pallidotomy

Thilaka Sumanaweera, Kelvin Lim, Gary Glover, Paul Hemler, Gary Heit, Petra van den Elsen, Gerald Silverberg, Sandy Napel

Proceedings Volume 2708, (1996) https://doi.org/10.1117/12.237835

KEYWORDS: Distortion, Magnetic resonance imaging, Magnetism, Head, Computed tomography, Surgery, X-rays, Brain, Medical imaging, Parkinson's disease

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Proceedings Article | 9 September 1994 Paper

Grey value correlation techniques used for automatic matching of CT and MR brain and spine images

Petra van den Elsen, Evert-Jan Pol, Thilaka Sumanaweera, Paul Hemler, Sandy Napel, John Adler

Proceedings Volume 2359, (1994) https://doi.org/10.1117/12.185182

KEYWORDS: Magnetic resonance imaging, Computed tomography, Brain, Neuroimaging, Spine, Bone, Brain mapping, Image segmentation, Matrices, Skin

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Proceedings Article | 1 February 1991 Paper

Radar image understanding for complex space objects

Paul Hemler

Proceedings Volume 1381, (1991) https://doi.org/10.1117/12.25134

KEYWORDS: Radar, Image processing, 3D modeling, Robots, Machine vision, Computer vision technology, Robot vision, Visual process modeling, 3D image processing, Doppler effect

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Showing 5 of 23 publications

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