@InProceedings{ZafalonKovacsFerr:2017:De3DSa,
author = "Zafalon Kovacs, Nicole and Ferrari, Ricardo Jos{\'e}",
affiliation = "{Universidade Federal de S{\~a}o Carlos} and {Universidade
Federal de S{\~a}o Carlos}",
title = "Detection of 3D salient points in magnetic resonance images using
the dual-tree complex wavelet transform",
booktitle = "Proceedings...",
year = "2017",
editor = "Torchelsen, Rafael Piccin and Nascimento, Erickson Rangel do and
Panozzo, Daniele and Liu, Zicheng and Farias, Myl{\`e}ne and
Viera, Thales and Sacht, Leonardo and Ferreira, Nivan and Comba,
Jo{\~a}o Luiz Dihl and Hirata, Nina and Schiavon Porto, Marcelo
and Vital, Creto and Pagot, Christian Azambuja and Petronetto,
Fabiano and Clua, Esteban and Cardeal, Fl{\'a}vio",
organization = "Conference on Graphics, Patterns and Images, 30. (SIBGRAPI)",
publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
address = "Porto Alegre",
keywords = "3D salient points, DT-CWT, MRI, complex wavelets.",
abstract = "Detection of 3D salient points in medical images has many
important applications such as image registration and mesh
positioning for the purpose of segmentation of important
anatomical structures. In this study, we present preliminary
results of a proposed method for the detection of 3D salient
points in Magnetic Resonance (MR) images of human brain. Our
method, which is based on the Dual-Tree Complex Wavelet Transform,
combines the oriented wavelet sub-bands (by multiplying the ones
on the same scale and upsampling the result to an upper level
scale) to create an image map in which local maxima correspond to
the salient points. Qualitative assessment was conducted using 566
brain MRI images, whose results were combined together to create a
point cloud showing the concentration of the salient points on
important brain regions. The results indicate that our method has
a great potential to detect important 3D salient points in MR
images.",
conference-location = "Niter{\'o}i, RJ, Brazil",
conference-year = "17-20 Oct. 2017",
language = "en",
ibi = "8JMKD3MGPAW/3PJN3PE",
url = "http://urlib.net/ibi/8JMKD3MGPAW/3PJN3PE",
targetfile = "artigo.pdf",
urlaccessdate = "2024, May 02"
}