@InProceedings{MatsumotoLemoYoneFuru:2007:CaPhDe,
author = "Matsumoto, Monica Mitiko Soares and Lemos, Pedro Alves and
Yoneyama, Takashi and Furuie, S{\'e}rgio Shiguemi",
affiliation = "Aeronautics Institute of Technology (ITA), S{\~a}o Jos{\'e} dos
Campos, Brazil and Heart Institute (InCor), Medical School,
University of S{\~a}o Paulo, Brazil and Heart Institute (InCor),
Medical School, University of S{\~a}o Paulo, Brazil and
Aeronautics Institute of Technology (ITA), S{\~a}o Jos{\'e} dos
Campos, Brazil and Heart Institute (InCor), Medical School,
University of S{\~a}o Paulo, Brazil",
title = "Cardiac Phase Detection in Intravascular Ultrasound Images",
booktitle = "Proceedings...",
year = "2007",
editor = "Gon{\c{c}}alves, Luiz and Wu, Shin Ting",
organization = "Brazilian Symposium on Computer Graphics and Image Processing, 20.
(SIBGRAPI)",
publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
address = "Porto Alegre",
keywords = "Medical Image Processing, Intravascular Ultrasound, Signal
Processing, Cardiac Phase.",
abstract = "Image gating is a problem related to image modalities which
involve quasi-periodic moving organs, such as the heart.
Therefore, during intravascular ultrasound (IVUS) examination,
with automatic pullback, there is cardiac movement interference.
This work aims to obtain gated images based on the images
themselves, so it would be possible to reconstruct 3D coronaries
with temporal accuracy. From the images, we extracted signals
based on average intensity (AI), and, from consecutive frames,
average intensity difference (AID), crosscorrelation coefficient
(CC) and a new approach using mutual information (MI). Firstly,
our method was tested in simulated images, with different speckle
noise level, contrast and patients characteristics. The results
have shown our method was able to achieve more than 95.0% of true
positives and 2.3% of false positives, for all signals.
Afterwards, we tested in a real IVUS examination, with ECG as
gold-standard, where there were achieved 97.4% of true positives
(CC and MI), and 2.5% of false positives.",
conference-location = "Belo Horizonte, MG, Brazil",
conference-year = "7-10 Oct. 2007",
language = "en",
ibi = "6qtX3pFwXQZG2LgkFdY/Rvxyq",
url = "http://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/Rvxyq",
targetfile = "SIBGRAPI2007_Poster_Monica_SubmissaoAgo.pdf",
urlaccessdate = "2025, Feb. 16"
}