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Deformable models in medical image analysis: A survey

by Tim Mcinerney, Demetri Terzopoulos - Medical Image Analysis , 1996
"... This article surveys deformable models, a promising and vigorously researched computer-assisted medical image analysis technique. Among model-based techniques, deformable models offer a unique and powerful approach to image analysis that combines geometry, physics, and approximation theory. They hav ..."
Abstract - Cited by 591 (7 self) - Add to MetaCart
This article surveys deformable models, a promising and vigorously researched computer-assisted medical image analysis technique. Among model-based techniques, deformable models offer a unique and powerful approach to image analysis that combines geometry, physics, and approximation theory

Medical Image Analysis Prototyping

by Bart M. Ter Haar Romeny, Markus A. Van Almsick
"... This paper describes a new international collaborative initiative for the assembly of a high level medical image analysis toolkit, based on Mathematica, to do efficient design and development of advanced computer vision algorithms for computer-aided diagnosis. Mathematica has come to a point that t ..."
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This paper describes a new international collaborative initiative for the assembly of a high level medical image analysis toolkit, based on Mathematica, to do efficient design and development of advanced computer vision algorithms for computer-aided diagnosis. Mathematica has come to a point

Committing Medical Image Analysis

by Erik B. Dam , 2003
"... of Copenhagen with the exception of a six month visit followed by a one month visit at the University of North Carolina, Chapel Hill, hosted by professor Stephen M. Pizer. Front page, top image: A segmentation of a brain tumor. The brain scan is used in chapter 4 courtesy of the University Medical C ..."
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of this dissertation is medical image analysis with focus on multi-scale methods and the task of segmentation. The main theme is how to move from explicitly non-committed

Medical Image Analysis on Grids

by C. Germain, V. Breton, P. Clarysse, Y. Gaudeau, T. Glatard, E. Jeannot, Y. Legré, C. Loomis, I. Magin, J. Montagnat, J-m Moureaux, A. Osorio, X. Pennec, R. Texier
"... Grids have emerged as a promising technology to handle the data and compute intensive requirements of many application areas. Digital medical image processing is a promising application area for grids. Given the volume of data, the sensitivity of medical information, and the joint complexity of medi ..."
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Grids have emerged as a promising technology to handle the data and compute intensive requirements of many application areas. Digital medical image processing is a promising application area for grids. Given the volume of data, the sensitivity of medical information, and the joint complexity

Computational Medical Image Analysis

by Anders Eklund, C Anders Eklund
"... Functional magnetic resonance imaging (fMRI) is a prime example of multidisciplinary research. Without the beautiful physics of MRI, there would not be any images to look at in the first place. To obtain images of good quality, it is necessary to fully understand the concepts of the frequency domain ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
Functional magnetic resonance imaging (fMRI) is a prime example of multidisciplinary research. Without the beautiful physics of MRI, there would not be any images to look at in the first place. To obtain images of good quality, it is necessary to fully understand the concepts of the frequency

Medical Image Analysis

by Benjamin Smith, Ahmed Saad, Ghassan Hamarneh, Torsten Möller, Visualization Lab
"... Abstract. We derive a new model for simultaneous segmentation and deconvolution of dynamic PET images. By incorporating the PSF of the imaging system into our segmentation model, we simultaneously estimate region boundaries, and correct tissue activities for the partial volume effect. We show improv ..."
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Abstract. We derive a new model for simultaneous segmentation and deconvolution of dynamic PET images. By incorporating the PSF of the imaging system into our segmentation model, we simultaneously estimate region boundaries, and correct tissue activities for the partial volume effect. We show

Medical Image Analysis Centre,

by R. Smieskova, P. Fusar-poli, P. Allen, K. Bendfeldt, R. D. Stieglitz, J. Drewe, E. W. Radue, P. K. Mcguire, A. Riecher-rössler, S. J. Borgwardt
"... Abstract: Despite a large number of neuroimaging studies in schizophrenia reporting subtle brain abnormalities, we do not know to what extent such abnormalities reflect the effects of antipsychotic treatment on brain structure. We therefore systematically reviewed cross-sectional and follow-up struc ..."
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-up structural brain imaging studies of patients with schizophrenia treated with antipsychotics. 30 magnetic resonance imaging (MRI) studies were identified, 24 of them being longitudinal and six cross-sectional structural imaging studies. In patients with schizophrenia treated with antipsychotics, reduced gray

Medical Image Analysis Lab

by Ahmed Saad, Ghassan Hamarneh, Torsten Möller, Ben Smith, Visualization Lab
"... Abstract. We propose a semi-supervised, kinetic modeling based segmentation technique for molecular imaging applications. It is an iterative, self-learning algorithm based on uncertainty principles, designed to alleviate low signal-to-noise ratio (SNR) and partial volume effect (PVE) problems. Synth ..."
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Abstract. We propose a semi-supervised, kinetic modeling based segmentation technique for molecular imaging applications. It is an iterative, self-learning algorithm based on uncertainty principles, designed to alleviate low signal-to-noise ratio (SNR) and partial volume effect (PVE) problems

Medical Image Analysis

by Jérôme Boulanger A, Charles Kervrann A, Patrick Bouthemy A
"... This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues. Other uses, including reproduction and distribution, or sel ..."
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This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues. Other uses, including reproduction and distribution, or selling or licensing copies, or posting to personal, institutional or third party websites are prohibited. In most cases authors are permitted to post their version of the article (e.g. in Word or Tex form) to their personal website or institutional repository. Authors requiring further information regarding Elsevier’s archiving and manuscript policies are encouraged to visit:

Medical Image Analysis

by Benjamin Gilles, Nadia Magnenat-thalmann
"... This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues. Other uses, including reproduction and distribution, or sel ..."
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This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues. Other uses, including reproduction and distribution, or selling or licensing copies, or posting to personal, institutional or third party websites are prohibited. In most cases authors are permitted to post their version of the article (e.g. in Word or Tex form) to their personal website or institutional repository. Authors requiring further information regarding Elsevier’s archiving and manuscript policies are encouraged to visit:
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