✦ LIBER ✦

Three dimensional tomography of heliospheric features using global Thomson scattering data

✍ Scribed by B.V. Jackson; P. Hick

Book ID: 108427444
Publisher: Elsevier Science
Year: 2000
Tongue: English
Weight: 459 KB
Volume: 25
Category: Article
ISSN: 0273-1177
DOI: 10.1016/s0273-1177(99)00599-2

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Corotational Tomography of Heliospheric

Corotational Tomography of Heliospheric Features Using Global Thomson Scattering Data

✍ Bernard V. Jackson; P. Paul Hick 📂 Article 📅 2002 🏛 Springer 🌐 English ⚖ 147 KB

Three-dimensional reconstruction of coro

Three-dimensional reconstruction of coronal mass ejections using heliospheric imager data

✍ Timothy A. Howard 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 868 KB

Advances in X-ray Tomography for Geomate

Advances in X-ray Tomography for Geomaterials || Accurate Three-dimensional Measurements of Features in Geological Materials from X-ray Computed Tomography Data

✍ Desrues, Jacques; Viggiani, Gioacchino; Bsuelle, Pierre 📂 Article 📅 2006 🏛 ISTE ⚖ 608 KB

Novel scatter correction for three-dimen

Novel scatter correction for three-dimensional positron emission tomography by use of a beam stopper device

✍ Keh-Shih Chuang; Jay Wu; Meei-Ling Jan; Sharon Chen; Ching-Han Hsu 📂 Article 📅 2005 🏛 Elsevier Science 🌐 English ⚖ 415 KB

Automated three dimensional quantificati

Automated three dimensional quantification of setup deviations in radiation therapy using a single radiograph and cone beam computed tomography data

✍ R. Munbodh; D.A. Jaffray; D.J. Moseley; Z. Chen; J.P. Knisely; J.S. Duncan 📂 Article 📅 2004 🏛 Elsevier Science 🌐 English ⚖ 29 KB

Analytical surface recognition in three-

Analytical surface recognition in three-dimensional (3D) medical images using genetic matching: Application to the extraction of spheroidal articular surfaces in 3D computed tomography data sets

✍ Jean-José Jacq; Christian Roux; Éric Stindel; Christian Lefèvre 📂 Article 📅 2000 🏛 John Wiley and Sons 🌐 English ⚖ 766 KB

This paper tackles the problem of the in situ extraction of specific geometrical primitives from a three-dimensional (3D) biomedical data set. This task involves two main problems: segmentation of major structures and extraction of the features of interest. The segmentation algorithm studied focuses