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Image-reconstruction methods in positron tomography

Physics and mathematics for medical imaging In the two decades since the introduction of the X-ray scanner into radiology, medical imaging techniques have become widely established as essential tools in the diagnosis of disease. As a consequence of recent technological and mathematical advances, the...

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Detalles Bibliográficos
Autores principales: Townsend, David W, Defrise, Michel
Lenguaje:eng
Publicado: CERN 1993
Materias:
Acceso en línea:http://cds.cern.ch/record/282616
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author Townsend, David W
Defrise, Michel
author_facet Townsend, David W
Defrise, Michel
author_sort Townsend, David W
collection CERN
description Physics and mathematics for medical imaging In the two decades since the introduction of the X-ray scanner into radiology, medical imaging techniques have become widely established as essential tools in the diagnosis of disease. As a consequence of recent technological and mathematical advances, the non-invasive, three-dimensional imaging of internal organs such as the brain and the heart is now possible, not only for anatomical investigations using X-rays but also for studies which explore the functional status of the body using positron-emitting radioisotopes and nuclear magnetic resonance. Mathematical methods which enable three-dimentional distributions to be reconstructed from projection data acquired by radiation detectors suitably positioned around the patient will be described in detail. The lectures will trace the development of medical imaging from simpleradiographs to the present-day non-invasive measurement of in vivo boichemistry. Powerful techniques to correlate anatomy and function that are currently under development will also be presented. The lectures are aimed at non-specialist with a scientific background and the different methods will be extensively illustrated with appropriate examples of medical images.
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institution Organización Europea para la Investigación Nuclear
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spelling cern-2826162022-11-03T08:19:16Zhttp://cds.cern.ch/record/282616engTownsend, David WDefrise, MichelImage-reconstruction methods in positron tomographyHealth Physics and Radiation EffectsPhysics and mathematics for medical imaging In the two decades since the introduction of the X-ray scanner into radiology, medical imaging techniques have become widely established as essential tools in the diagnosis of disease. As a consequence of recent technological and mathematical advances, the non-invasive, three-dimensional imaging of internal organs such as the brain and the heart is now possible, not only for anatomical investigations using X-rays but also for studies which explore the functional status of the body using positron-emitting radioisotopes and nuclear magnetic resonance. Mathematical methods which enable three-dimentional distributions to be reconstructed from projection data acquired by radiation detectors suitably positioned around the patient will be described in detail. The lectures will trace the development of medical imaging from simpleradiographs to the present-day non-invasive measurement of in vivo boichemistry. Powerful techniques to correlate anatomy and function that are currently under development will also be presented. The lectures are aimed at non-specialist with a scientific background and the different methods will be extensively illustrated with appropriate examples of medical images.CERNoai:cds.cern.ch:2826161993
spellingShingle Health Physics and Radiation Effects
Townsend, David W
Defrise, Michel
Image-reconstruction methods in positron tomography
title Image-reconstruction methods in positron tomography
title_full Image-reconstruction methods in positron tomography
title_fullStr Image-reconstruction methods in positron tomography
title_full_unstemmed Image-reconstruction methods in positron tomography
title_short Image-reconstruction methods in positron tomography
title_sort image-reconstruction methods in positron tomography
topic Health Physics and Radiation Effects
url http://cds.cern.ch/record/282616
work_keys_str_mv AT townsenddavidw imagereconstructionmethodsinpositrontomography
AT defrisemichel imagereconstructionmethodsinpositrontomography