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http://hdl.handle.net/2445/125608
Title: | Clinical feasibility of quantitative ultrasound texture analysis: A robustness study using fetal lung ultrasound images |
Author: | Pérez Moreno, Álvaro Dominguez, Mara Migliorelli, Federico Gratacós Solsona, Eduard Palacio, Montse Bonet Carné, Elisenda |
Keywords: | Ecografia fetal Fetal ultrasonic imaging |
Issue Date: | 30-Sep-2018 |
Publisher: | American Institute of Ultrasound in Medicine |
Abstract: | OBJECTIVES: To compare the robustness of several methods based on quantitative ultrasound (US) texture analysis to evaluate its feasibility for extracting features from US images to use as a clinical diagnostic tool. METHODS: We compared, ranked, and validated the robustness of 5 texture-based methods for extracting textural features from US images acquired under different conditions. For comparison and ranking purposes, we used 13,171 non-US images from widely known available databases (OUTEX [University of Oulu, Oulu, Finland] and PHOTEX [Texture Lab, Heriot-Watt University, Edinburgh, Scotland]), which were specifically acquired under different controlled parameters (illumination, resolution, and rotation) from 103 textures. The robustness of those methods with better results from the non-US images was validated by using 666 fetal lung US images acquired from singleton pregnancies. In this study, 2 similarity measurements (correlation and Chebyshev distances) were used to evaluate the repeatability of the features extracted from the same tissue images. RESULTS: Three of the 5 methods (gray-level co-occurrence matrix, local binary patterns, and rotation-invariant local phase quantization) had favorably robust performance when using the non-US database. In fact, these methods showed similarity values close to 0 for the acquisition variations and delineations. Results from the US database confirmed robustness for all of the evaluated methods (gray-level co-occurrence matrix, local binary patterns, and rotation-invariant local phase quantization) when comparing the same texture obtained from different regions of the image (proximal/distal lungs and US machine brand stratification). CONCLUSIONS: Our results confirmed that texture analysis can be robust (high similarity for different condition acquisitions) with potential to be included as a clinical tool. |
Note: | Versió postprint del document publicat a: https://doi.org/10.1002/jum.14824 |
It is part of: | Journal of Ultrasound in Medicine, 2018 |
URI: | http://hdl.handle.net/2445/125608 |
Related resource: | https://doi.org/10.1002/jum.14824 |
ISSN: | 0278-4297 |
Appears in Collections: | Articles publicats en revistes (IDIBAPS: Institut d'investigacions Biomèdiques August Pi i Sunyer) Articles publicats en revistes (Cirurgia i Especialitats Medicoquirúrgiques) Articles publicats en revistes (BCNatal Fetal Medicine Research Center) |
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