Learn · CERN

Talk57 min

Image-reconstruction methods in positron tomography

David W Townsend and Michel Defrise · CERN

Watch At CERN

About

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..

0:00:00 Slide 1

0:05:40 Slide 2

0:11:20 Slide 3

0:16:59 Slide 4

0:22:39 Slide 5

0:28:19 Slide 6

0:33:58 Slide 7

0:39:38 Slide 8

0:45:17 Slide 9

0:50:57 Slide 10

The talk

  1. Image-reconstruction methods in positron tomography 1993-03-08 · 57 min · CERN's player

Credits and licence

Institution
CERN
Department
CERN Academic Training Lecture,278
Taught by
David W Townsend, Michel Defrise
Year
1993
Level
Graduate
Language
English
Subjects
Physics, Medicine and health
Source
CERN
Licence
CERN, as CERN states it. CERN's terms
Attribution
© CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
Who can watch
CERN gives no rating. Invisible Network shows it to Teens profiles and older, judged from what the source says about it. How courses are placed