@inbook{485e934531d84257928313d4a42b9e95,
title = "Surface area estimation in practice",
abstract = "Consider a complex, convoluted three dimensional object that has been digitized and is available as a set of voxels. We describe a fast, practical scheme for delineating a region of interest on the surface of the object and estimating its original area. The voxel representation is maintained and no triangulation is carried out. The methods presented rely on a theoretical result of Mullikin and Verbeek, and bridge the gap between their idealized setting and the harsh reality of 3D medical data. Performance evaluation results are provided, and operation on segmented white matter MR brain data is demonstrated.",
keywords = "Digital geometry, Morphometric measurements, Segmented white matter, Surface area estimation, Voxels objects",
author = "Guy Windreich and Nahum Kiryati and Gabriele Lohmann",
year = "2003",
doi = "10.1007/978-3-540-39966-7_34",
language = "אנגלית",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "358--367",
editor = "Ingela Nystrom and {di Baja}, {Gabriella Sanniti} and Stina Svensson",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
}