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.
Abstract
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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