Automated cystic mass extraction from ultrasound phantom images

Citation

Khatib, Farzan and Mahmud, Rozi and Mashohor, Syamsiah and Saripan, M. Iqbal and Raja Abdullah, Raja Syamsul Azmir (2012) Automated cystic mass extraction from ultrasound phantom images. In: Asia Modelling Symposium 2012 (AMS 2012), the 6th Asia International Conference on Mathematical Modelling and Computer Simulation, 29-31 May 2012, Kuala Lumpur, Malaysia and Bali, Indonesia. (pp. 54-58).

Abstract

The aim of this work is to automatically extract Cystic Masses from Ultrasound Phantom images and improve the efficiency of interpretation using Computer-Aided Detection. To make it a general algorithm, 6 most popular ultrasound machines were selected and following parameters were swept: modes of operation, transducer, frequency and contrast, while making phantom images. Ultrasound images were acquired using a quality multi tissue Ultrasound Phantom in B-Mode. Gamma corrections, contrast stretching, filtering and morphological Image Processing were among the steps that were applied to find the output image. Two experienced radiologists marked final images. Statistical analysis of results showed a sensitivity of 99% and accuracy of 98% for proposed framework. As a side result based on the actual depth of each image, processing time were also decreased.

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Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Engineering
DOI Number:	https://doi.org/10.1109/AMS.2012.36
Publisher:	IEEE
Keywords:	Computer aided detection; Ultrasound; Medical image processing; Breast cancer; Ultrasound phantom; Digital image processing
Depositing User:	Azian Edawati Zakaria
Date Deposited:	17 Sep 2015 03:41
Last Modified:	30 Sep 2016 01:12
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/AMS.2012.36
URI:	http://psasir.upm.edu.my/id/eprint/40594
Statistic Details:	View Download Statistic

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