Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Louis K. Arata"'
Publikováno v:
IEEE Transactions on Biomedical Engineering. 42:1079-1087
Computerized automatic registration of MR-PET images of the brain is of significant interest for multimodality brain image analysis. In this paper, we discuss the Principal Axes Transformation for registration of three-dimensional MR and PET images.
Autor:
Louis K. Arata, M.F. Gaskil-Shipley, Nora D. Volkow, A.V. Levy, Atam P. Dhawan, Joseph P. Broderick
Publikováno v:
IEEE Transactions on Biomedical Engineering. 42:1069-1078
Model-based segmentation and analysis of brain images depends on anatomical knowledge which may be derived from conventional atlases. Classical anatomical atlases are based on the rigid spatial distribution provided by a single cadaver. Their use to
Autor:
Louis K. Arata, Atam P. Dhawan
Publikováno v:
ICNN
In image analysis applications, segmentation of gray-level images into meaningful regions is an important low-level processing step. Various approaches to segmentation investigated in the literature, in general, use either local information of gray-l
Publikováno v:
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society Volume 13: 1991.
Autor:
Louis K. Arata
Publisher Summary This chapter analyzes the method of tricubic interpolation. In many cases, linear interpolation provides a very good compromise between speed and accuracy. However, when the data volume is non-isotropic, linear interpolation may int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b274582257622f51ab6d60f706f29b05
https://doi.org/10.1016/b978-0-12-543457-7.50024-3
https://doi.org/10.1016/b978-0-12-543457-7.50024-3
Autor:
Atam P. Dhawan, Louis K. Arata
Publikováno v:
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
Registration of Magnetic Resonance (MR) and Positron Emission Tomographic (PET) images is a crucial step in multi-modality brain image analysis. We have developed a technique which we call iterative principal axes registration (IPAR). Using this meth
Publikováno v:
Medical Imaging VI: Image Processing.
Automated or semi-automated analysis and labeling of structural brain images, such as magnetic resonance (MR) and computed tomography, is desirable for a number of reasons. Quantification of brain volumes can aid in the study of various diseases and
Publikováno v:
SPIE Proceedings.
The computerized analysis and interpretation of three-dimensional medical images is of significant interest for diagnosis as well as for studying pathological processes. Knowledge-based image analysis and interpretation of radiological images can pro
Autor:
Louis K. Arata, Atam P. Dhawan
Publikováno v:
IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in MedicineBiology Society. 10(4)
An anatomical knowledge-based system for image analysis that interprets CT/MR (computed tomography/magnetic resonance) images of the human chest cavity is reported. The approach utilizes a low-level image analysis system with the ability to analyze t
Conference
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