Dr. Torsten Rohlfing Profile

Dr. Torsten Rohlfing

Research Scientist at SRI International

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Author

Publications (14)

Proceedings Article | 27 March 2009 Paper

Bead-based mosaicing of single plane illumination microscopy images using geometric local descriptor matching

Stephan Preibisch, Stephan Saalfeld, Torsten Rohlfing, Pavel Tomancak

Proceedings Volume 7259, 72592S (2009) https://doi.org/10.1117/12.812612

KEYWORDS: Image registration, Image segmentation, Image fusion, Data acquisition, Image resolution, Image processing, Microscopy, Affine motion model, 3D image processing, 3D visualizations

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Proceedings Article | 26 March 2008 Paper

Mosaicing of single plane illumination microscopy images using groupwise registration and fast content-based image fusion

Stephan Preibisch, Torsten Rohlfing, Michael Hasak, Pavel Tomancak

Proceedings Volume 6914, 69140E (2008) https://doi.org/10.1117/12.770893

KEYWORDS: Image fusion, Image registration, Image resolution, Microscopy, Gaussian filters, Data acquisition, Data fusion, 3D image processing, CCD cameras, Image processing

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Proceedings Article | 26 March 2008 Paper

The SRI24 multichannel brain atlas: construction and applications

Torsten Rohlfing, Natalie Zahr, Edith Sullivan, Adolf Pfefferbaum

Proceedings Volume 6914, 691409 (2008) https://doi.org/10.1117/12.770441

KEYWORDS: Brain, Neuroimaging, Image registration, Image segmentation, Diffusion, Brain mapping, Magnetic resonance imaging, Tissues, Diffusion tensor imaging, Image processing

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Proceedings Article | 29 April 2005 Paper

Statistical shape model generation using nonrigid deformation of a template mesh

Geremy Heitz, Torsten Rohlfing, Calvin Maurer

Proceedings Volume 5747, (2005) https://doi.org/10.1117/12.594802

KEYWORDS: Image segmentation, Image registration, Image processing, Statistical modeling, Statistical analysis, Shape analysis, 3D modeling, Process modeling, Principal component analysis, Error analysis

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SPIE Journal Paper | 1 March 2005 Open Access

Unwarping confocal microscopy images of bee brains by nonrigid registration to a magnetic resonance microscopy image

Torsten Rohlfing, Frank Schaupp, Daniel Haddad, Robert Brandt, Axel Haase, Randolf Menzel, Calvin Maurer

JBO, Vol. 10, Issue 02, 024018, (March 2005) https://doi.org/10.1117/12.10.1117/1.1896025

KEYWORDS: Brain, Curium, Neuroimaging, Image segmentation, Image registration, Magnetism, Confocal microscopy, Microscopy, Image processing, Head

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Proceedings Article | 15 May 2003 Paper

Segmentation of three-dimensional images using non-rigid registration: methods and validation with application to confocal microscopy images of bee brains

Torsten Rohlfing, Robert Brandt, Randolf Menzel, Calvin Maurer

Proceedings Volume 5032, (2003) https://doi.org/10.1117/12.483558

KEYWORDS: Image segmentation, Image registration, Brain, Confocal microscopy, Neuroimaging, Image processing algorithms and systems, Microscopy, Databases, 3D image processing, Image processing

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Proceedings Article | 15 May 2003 Paper

Fast calculation of digitally reconstructed radiographs using light fields

Daniel Russakoff, Torsten Rohlfing, Daniel Rueckert, Ramin Shahidi, Daniel Kim, Calvin Maurer

Proceedings Volume 5032, (2003) https://doi.org/10.1117/12.481888

KEYWORDS: Image registration, X-ray imaging, X-ray computed tomography, Image processing, Radiography, X-rays, 3D image processing, Volume rendering, Computer graphics, Visualization

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Proceedings Article | 15 May 2003 Paper

Incremental method for computing the intersection of discretely sampled m-dimensional images with n-dimensional boundaries

Torsten Rohlfing

Proceedings Volume 5032, (2003) https://doi.org/10.1117/12.483556

KEYWORDS: 3D image processing, Bismuth, Image processing, Image registration, Medical imaging, Surgery, Image analysis, Optimization (mathematics), Computer graphics, 3D displays

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Proceedings Article | 17 May 2002 Paper

Effect of changing patient position from supine to prone on the accuracy of a Cosman-Roberts-Wells (CRW) stereotactic head frame system

Torsten Rohlfing, Calvin Maurer, David Dean, Robert Maciunas

Proceedings Volume 4681, (2002) https://doi.org/10.1117/12.466955

KEYWORDS: Image registration, Head, Image segmentation, Computed tomography, Brain, Biopsy, Image analysis, Image-guided intervention, Image acquisition, Imaging systems

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Proceedings Article | 9 May 2002 Paper

Intensity-based registration algorithm for probabilistic images and its application for 2D to 3D image registration

Torsten Rohlfing, Daniel Russakoff, Martin Murphy, Calvin Maurer

Proceedings Volume 4684, (2002) https://doi.org/10.1117/12.467201

KEYWORDS: 3D image processing, Image registration, Image segmentation, Tissues, X-ray computed tomography, X-rays, Computed tomography, X-ray imaging, Signal attenuation, Image processing

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Proceedings Article | 9 May 2002 Paper

Fuzzy segmentation of x-ray fluoroscopy images

Daniel Russakoff, Torsten Rohlfing, Calvin Maurer

Proceedings Volume 4684, (2002) https://doi.org/10.1117/12.467102

KEYWORDS: Image segmentation, Fluoroscopy, X-rays, Image registration, Tissues, X-ray imaging, Data modeling, Bone, X-ray computed tomography, Signal attenuation

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Proceedings Article | 3 July 2001 Paper

Efficient voxel lookup in nonuniformly spaced images using virtual uniform axes

Torsten Rohlfing

Proceedings Volume 4322, (2001) https://doi.org/10.1117/12.430972

KEYWORDS: Scanners, Image processing, Medical imaging, Image resolution, Optical tracking, Binary data, Computed tomography, X-ray computed tomography, X-rays, Data storage

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Proceedings Article | 28 May 2001 Paper

Modeling liver motion and deformation during the respiratory cycle using intensity-based free-form registration of gated MR images

Torsten Rohlfing, Calvin Maurer, Walter O'Dell, Jianhui Zhong

Proceedings Volume 4319, (2001) https://doi.org/10.1117/12.428073

KEYWORDS: Image registration, Liver, Motion models, Magnetic resonance imaging, Image fusion, Rigid registration, Visualization, Tissues, 3D modeling, Abdomen

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Proceedings Article | 28 May 2001 Paper

Augmented-reality visualization of brain structures with stereo and kinetic depth cues: system description and initial evaluation with head phantom

Calvin Maurer, Frank Sauer, Bo Hu, Benedicte Bascle, Bernhard Geiger, Fabian Wenzel, Filippo Recchi, Torsten Rohlfing, Christopher Brown, Robert Bakos, Robert Maciunas, Ali Bani-Hashemi

Proceedings Volume 4319, (2001) https://doi.org/10.1117/12.428086

KEYWORDS: Cameras, Head, Video, Visualization, Computed tomography, Head-mounted displays, Brain, Image segmentation, Surgery, Navigation systems

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We are developing a video see-through head-mounted display (HMD) augmented reality (AR) system for image-guided neurosurgical planning and navigation. The surgeon wears a HMD that presents him with the augmented stereo view. The HMD is custom fitted with two miniature color video cameras that capture a stereo view of the real-world scene. We are concentrating specifically at this point on cranial neurosurgery, so the images will be of the patient's head. A third video camera, operating in the near infrared, is also attached to the HMD and is used for head tracking. The pose (i.e., position and orientation) of the HMD is used to determine where to overlay anatomic structures segmented from preoperative tomographic images (e.g., CT, MR) on the intraoperative video images. Two SGI 540 Visual Workstation computers process the three video streams and render the augmented stereo views for display on the HMD. The AR system operates in real time at 30 frames/sec with a temporal latency of about three frames (100 ms) and zero relative lag between the virtual objects and the real-world scene. For an initial evaluation of the system, we created AR images using a head phantom with actual internal anatomic structures (segmented from CT and MR scans of a patient) realistically positioned inside the phantom. When using shaded renderings, many users had difficulty appreciating overlaid brain structures as being inside the head. When using wire frames, and texture-mapped dot patterns, most users correctly visualized brain anatomy as being internal and could generally appreciate spatial relationships among various objects. The 3D perception of these structures is based on both stereoscopic depth cues and kinetic depth cues, with the user looking at the head phantom from varying positions. The perception of the augmented visualization is natural and convincing. The brain structures appear rigidly anchored in the head, manifesting little or no apparent swimming or jitter. The initial evaluation of the system is encouraging, and we believe that AR visualization might become an important tool for image-guided neurosurgical planning and navigation.

Showing 5 of 14 publications

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