Acquisition, Analysis and Use of Clinical Transplant Data - Proceedings

Computer applications in medical care have been greatly increasing during the last ten years. Combined with other electronic devices, computers can produce images which represent human organ sections. Such a way to get informations on patient organs widely improves di agnosis and surgery efficiency. But we can go through a new step by generating three dimensional models of these organs and by displaying them. Most of research in this area focuses on the visualization process. But, in order to efficiently exploit the data collected and processed by the computer, we need to create a high-level three-dimensional model of the organ to be displayed. An interactive approach to get such a model is described in this paper as the way to use it for the study of kidney anatomy. I. 20 and 30 data visualization in medical care Classical X-ray radiographs give us a projection of human body inner parts, with an enhancement of high-density elements. But they cannot give us a complete view of organs, such as in cross-sections. Recent imaging techniques solve this problem, usually by computing those sections from a set of projections along different directions. Physicians can then get a full examination of organs by using such equipments as X-ray scanners or those producing Mag netic Resonance, ultrasonic or radionuclide images. The information collected on the organ (density, acoustic property, etc.

Dettagli sul prodotto

• Con la collaborazione di: Raine Janssen (Editore), Rainer Janssen (Editore), Opelz (Editore), Opelz (Editore), Gerhard Opelz (Editore)
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 26.05.2014
• EAN: 9783540185116
• ISBN: 978-3-540-18511-6
• Pagine: 225
• Dimensioni: 165 mm x 242 mm x 14 mm
• Peso: 407 g
• Illustrazioni: IV, 225 p. 19 illus.
• Serie: Lecture Notes in Medical Informatics; Lecture Notes in Medical Informatics
• Categoria: Scienze naturali, medicina, informatica, tecnica > Medicina > Branche non cliniche