@InProceedings{LotufoFalc:1993:ShInMe,
author = "Lotufo, Roberto de Alencar and Falc{\~a}o, Alexandre Xavier",
affiliation = "{Departamento de Engenharia de Computa{\c{c}}{\~a}o e
Automa{\c{c}}{\~a}o Industrial da Faculdade de Engenharia
El{\'e}trica da Universidade Estadual de Campinas (UNICAMP)} and
{Departamento de Engenharia de Computa{\c{c}}{\~a}o e
Automa{\c{c}}{\~a}o Industrial da Faculdade de Engenharia
El{\'e}trica da Universidade Estadual de Campinas (UNICAMP)}",
title = "Shape-based interpolation methods applied to medical imaging",
booktitle = "Anais...",
year = "1993",
editor = "Figueiredo, Luiz Henrique de and Gomes, Jonas de Miranda",
pages = "323--331",
organization = "Simp{\'o}sio Brasileiro de Computa{\c{c}}{\~a}o Gr{\'a}fica e
Processamento de Imagens, 6. (SIBGRAPI)",
publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
address = "Porto Alegre",
keywords = "interpolation methods, shape-based, medical images.",
abstract = "Sectional images generated by medical scanners usually have lower
interslice resolution than resolution within the slices.
Shape-based interpolation is a method of interpolation that can be
applied to the segmented 3D volume to create an isotropic data
set. It uses a distance transform applied to every slice prior to
estimation of intermediate binary slices. Gray-level interpolation
has been the classical way of estimating intermediate slices.
There is also a combination of these two forms of interpolation,
using the average magnitude of the gradients as a normalizing
factor of the gradients as a normalizing factor of the
combination. This paper presents new comparison results of these
interpolation methods.",
conference-location = "Recife, PE, Brazil",
conference-year = "19-22 Oct. 1993",
isbn = "978-85-7669-271-3",
language = "en",
ibi = "8JMKD3MGPBW34M/3D85RNE",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3D85RNE",
targetfile = "38 Shape based interpolation.pdf",
type = "Imagens M{\'e}dicas",
volume = "1",
urlaccessdate = "2024, Apr. 29"
}