Dr. Antoine Rosset Profile

Dr. Antoine Rosset

Radiologist at Univ Hospital of Geneva

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Author

Publications (10)

Proceedings Article | 16 March 2006 Paper

Paper

Hierarchical storage of large volume of multidector CT data using distributed servers

Osman Ratib, Antoine Rosset, Joris Heuberger, David Bandon

Proceedings Volume 6145, 61450W (2006) https://doi.org/10.1117/12.654616

KEYWORDS: Image processing, Picture Archiving and Communication System, 3D image processing, Image resolution, Computed tomography, Data storage servers, Data storage, Scanners, Databases, Magnetic resonance imaging

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Proceedings Article | 16 March 2006 Paper

Paper

Peer-to-peer architecture for multi-departmental distributed PACS

Antoine Rosset, Joris Heuberger, Lance Pysher, Osman Ratib

Proceedings Volume 6145, 61450E (2006) https://doi.org/10.1117/12.653520

KEYWORDS: Databases, Picture Archiving and Communication System, Data archive systems, Radiology, Image processing, Data storage servers, Pollution control, Image display, Operating systems, Computer networks

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Proceedings Article | 15 April 2005 Paper

Paper

New GRID-computing platforms for high performance multi-dimensional and multimodality image rendering

Antoine Rosset, Osman Ratib

Proceedings Volume 5748, (2005) https://doi.org/10.1117/12.594221

KEYWORDS: Computing systems, Volume rendering, 3D image processing, Image processing, Visualization, Medical imaging, Computer networks, Image quality, Computer architecture, Parallel processing

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Proceedings Article | 15 April 2005 Paper

Paper

Color fusion MRI: an effective technique for image visualization in a variety of clinical applications

L. Spadola, A. Rosset, L. Seeger, K. Motamedi, O. Ratib

Proceedings Volume 5748, (2005) https://doi.org/10.1117/12.594643

KEYWORDS: Image fusion, Magnetic resonance imaging, Image visualization, Transparency, RGB color model, Medical imaging, Image resolution, Data fusion, Diagnostics, Positron emission tomography

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Proceedings Article | 15 April 2005 Paper

Paper

Navigating the fifth dimension: new concepts in interactive multimodality and multidimensional image navigation

Osman Ratib, Antoine Rosset, Magnus Dahlbom, Johannes Czernin

Proceedings Volume 5748, (2005) https://doi.org/10.1117/12.594648

KEYWORDS: 3D image processing, Data acquisition, 3D displays, Image fusion, Image visualization, Visualization, Human-machine interfaces, Software development, Picture Archiving and Communication System, Navigation systems

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Proceedings Article | 15 April 2005 Paper

Paper

General consumer communication tools for improved image management and communication in medicine

Osman Ratib, Antoine Rosset, J. Michael McCoy

Proceedings Volume 5748, (2005) https://doi.org/10.1117/12.594218

KEYWORDS: Data storage, Data communications, Medical imaging, Medicine, Image storage, Digital video discs, Video, Picture Archiving and Communication System, Telecommunications, Compact discs

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Proceedings Article | 15 April 2005 Paper

Paper

OSIRIX: open source multimodality image navigation software

Antoine Rosset, Lance Pysher, Luca Spadola, Osman Ratib

Proceedings Volume 5748, (2005) https://doi.org/10.1117/12.594216

KEYWORDS: Visualization, Software development, 3D image processing, Image visualization, Human-machine interfaces, Computed tomography, Standards development, 3D imaging standards, Medical imaging, Picture Archiving and Communication System

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Proceedings Article | 19 April 2004 Paper

Paper

Comparing features sets for content-based image retrieval in a medical-case database

Henning Muller, Antoine Rosset, Jean-Paul Vallee, Antoine Geissbuhler

Proceedings Volume 5371, (2004) https://doi.org/10.1117/12.535039

KEYWORDS: Image retrieval, Medical imaging, Databases, Feature extraction, Quantization, Content based image retrieval, Diagnostics, Image quality, Picture Archiving and Communication System, Computing systems

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Content-based image retrieval systems (CBIRSs) have frequently been proposed for the use in medical image databases and PACS. Still, only few systems were developed and used in a real clinical environment. It rather seems that medical professionals define their needs and computer scientists develop systems based on data sets they receive with little or no interaction between the two groups. A first study on the diagnostic use of medical image retrieval also shows an improvement in diagnostics when using CBIRSs which underlines the potential importance of this technique. This article explains the use of an open source image retrieval system (GIFT - GNU Image Finding Tool) for the retrieval of medical images in the medical case database system CasImage that is used in daily, clinical routine in the university hospitals of Geneva. Although the base system of GIFT shows an unsatisfactory performance, already little changes in the feature space show to significantly improve the retrieval results. The performance of variations in feature space with respect to color (gray level) quantizations and changes in texture analysis (Gabor filters) is compared. Whereas stock photography relies mainly on colors for retrieval, medical images need a large number of gray levels for successful retrieval, especially when executing feedback queries. The results also show that a too fine granularity in the gray levels lowers the retrieval quality, especially with single-image queries. For the evaluation of the retrieval peformance, a subset of the entire case database of more than 40,000 images is taken with a total of 3752 images. Ground truth was generated by a user who defined the expected query result of a perfect system by selecting images relevant to a given query image. The results show that a smaller number of gray levels (32 - 64) leads to a better retrieval performance, especially when using relevance feedback. The use of more scales and directions for the Gabor filters in the texture analysis also leads to improved results but response time is going up equally due to the larger feature space. CBIRSs can be of great use in managing large medical image databases. They allow to find images that might otherwise be lost for research and publications. They also give students students the possibility to navigate within large image repositories. In the future, CBIR might also become more important in case-based reasoning and evidence-based medicine to support the diagnostics because first studies show good results.

Proceedings Article | 18 May 2000 Paper

Paper

Self-contained off-line media for exchanging medical images using DICOM-compliant standard

Osman Ratib, Yves Ligier, Antoine Rosset, Jean-Christophe Staub, Marianne Logean, Christian Girard

Proceedings Volume 3980, (2000) https://doi.org/10.1117/12.386424

KEYWORDS: Compact discs, Medical imaging, Standards development, Software development, Image resolution, Digital video discs, Picture Archiving and Communication System, Cardiology, Angiography

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Proceedings Article | 16 April 1996 Paper

Paper

Temporal analysis of regional wall motion from cine cardiac MRI

Osman Ratib, Dominique Didier, Anne Chretien, Antoine Rosset, Isabelle Magnin, Yves Ligier

Proceedings Volume 2710, (1996) https://doi.org/10.1117/12.237992

KEYWORDS: Motion analysis, Edge detection, Image segmentation, Blood, Magnetic resonance imaging, Heart, Motion measurement, Image analysis, Image processing, Cardiovascular magnetic resonance imaging

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The purpose of this work is to develop and to evaluate an automatic analysis technique for quantitative assessment of cardiac function from cine MRI and to identify regional alterations in synchronicity based on Fourier analysis of ventricular wall motion (WM). A temporal analysis technique of left ventricular wall displacement was developed for quantitative analysis of temporal delays in wall motion and applied to gated cine 'dark blood' cardiac MRI. This imaging technique allows the user to saturate the blood both above and below the imaging slice simultaneously by using a specially designed rf presaturation pulse. The acquisition parameters are: TR equals 25 - 60 msec, TE equals 5 - 7 msec, 0 equals 25 degrees, slice thickness equals 10 mm, 16 to 32 frames/cycle. Automatic edge detection was used to outline the ventricular cavities on all frames of a cardiac cycle. Two different segmentation techniques were applied to all studies and lead to similar results. Further improvement in edge detection accuracy was achieved by temporal interpolation of individual contours on each image of the cardiac cycle. Radial analysis of the ventricular wall motion was then performed along 64 radii drawn from the center of the ventricular cavity. The first harmonic of the Fourier transform of each radial motion curve is calculated. The phase of the fundamental Fourier component is used as an index of synchrony (delay) of regional wall motion. Results are displayed in color-coded maps of regional alterations in the amplitude and synchrony of wall motion. The temporal delays measured from individual segments are evaluated through a histogram of phase distribution, where the width of the main peak is used as an index of overall synchrony of wall motion. The variability of this technique was validated in 10 normal volunteers and was used to identify regions with asynchronous WM in 15 patients with documented CAD. The standard deviation (SD) of phase distribution measured in short axis views was calculated and used to identify regions with asynchronous wall motion in patients with coronary artery disease. Results suggest that this technique is more sensitive than global functional parameters such as ejection fraction for the detection of ventricular dysfunction. Color coded parametric display offers a more convenient way for the identification and localization of regional wall motion asynchrony. Data obtained from endocardial wall motion analysis were not significantly different from wall thickening measurements. The innovative approach of evaluating the temporal behavior of regional wall motion anomalies is expected to provide clinically relevant data about subtle alteration that cannot be detected through simple analysis of the extent (amplitude) of wall motion or myocardial thickening. Temporal analysis of regional WM abnormality from cine MRI offers an innovative and promising means for objective quantitative evaluation of subtle regional abnormalities. Color coded parametric maps allowed a better identification and localization of regional WM asynchrony.

Showing 5 of 10 publications

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