Confidence estimation in IVUS radio-frequency data with random walks

The shadow regions in ultrasound (US) B-mode images are due to severe reflection of backscattered signals from dense tissue/medium interface. The loss of ultrasound energy as well as lack of textural or spectral features in these regions raise uncertainty, resulting confusion among experts decisions...

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Bibliographic Details
Main Authors: Karamalis, A., Katouzian, A., Carlier, S., Navab, N.
Format: Conference Proceeding
Language:English
Subjects:
Acoustics
Attenuation
Confidence
Estimation
Graph Laplacian
Image segmentation
IVUS
Radio frequency
Random Walks
RF signals
Ultrasonic imaging
Online Access:Request full text
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Summary:The shadow regions in ultrasound (US) B-mode images are due to severe reflection of backscattered signals from dense tissue/medium interface. The loss of ultrasound energy as well as lack of textural or spectral features in these regions raise uncertainty, resulting confusion among experts decisions and developed computer-aided diagnosis (CAD) algorithms outcomes. In this paper, we present a novel uncertainty (confidence) estimation method, modeling the problem through random walk under particular constrains motivated by underlying physics of ultrasound. We demonstrate that constructed confidence maps can then be employed in different ultrasound based CAD algorithms, which ultimately improve experts qualitative and quantitative assessments. We evaluate our method on intravascular ultrasound (IVUS) radiofrequency (RF) data and quantify the results through non-linearly registered histology image as ground-truth.
ISSN:1945-7928
1945-8452
DOI:10.1109/ISBI.2012.6235743