FPGA based Preliminary CAD for Kidney on IoT Enabled Portable Ultrasound Imaging System

K, Divya Krishna and Akkala, V and R, Bharath and P, Rajalakshmi and Mohammed, A M (2014) FPGA based Preliminary CAD for Kidney on IoT Enabled Portable Ultrasound Imaging System. In: 16th International Conference on e-Health Networking, Applications and Services (Healthcom), 15-18 Oct. 2014, Natal.

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Ultrasound imaging has been widely used for preliminary diagnosis as it is non-invasive and has good scope for the doctors to analyze many diseases. Lack of trained sonographers make ultrasound imaging diagnosis time consuming to detect any abnormality. Sometimes the problem cannot exactly be identified which may lead to error in diagnosis. Hence in this paper we present computer aided automatic detection of abnormality in kidney on the ultrasound system itself, to decrease the time for reports and not to depend on the sonographer. We classified the kidney as normal and abnormal case. Segment the kidney region and extract Intensity histogram features and Haralick features from Gray Level Cooccurnace Matrix (GLCM). These features are calculated for a set of large data containing both normal and abnormal cases. Abnormal case includes kidney stone, cyst and bacterial infection. Standard deviation for each parameter is observed, considered only those features with less deviation and implemented on FPGA Kintex board. If the range of mean value is 1.08 to 1.336, skewness is 2.882 to 7.708, Kurtosis is 1.06 to 71.152, Cluster Shade is 72 to 243, Homogeneity is 0.993 to 0.998, the observed kidney image is normal otherwise abnormal.

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IITH Creators:
IITH CreatorsORCiD
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: FPGA,Haralick features,Intensity histogram features,cloud,speckle
Subjects: Others > Electricity
Divisions: Department of Electrical Engineering
Depositing User: Library Staff
Date Deposited: 01 Jul 2015 06:21
Last Modified: 01 Feb 2016 10:46
URI: http://raiith.iith.ac.in/id/eprint/1610
Publisher URL: http://dx.doi.org/10.1109/HealthCom.2014.7001851
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