Analysis using first order statistical parameters of ultrasound renal stone image for identification of various features and classification of renal calculi | Proceedings of the International Conference and Workshop on Emerging Trends in Technology (original) (raw)

Abstract

The incidence of renal calculus in the urinary tract has been known as a problem since long. Urinary stone disease is an extremely painful condition and it can be formed with calculus can formed at number of locations, types and shapes in the urinary system, principal sites being the lower calyx pelvis of the kidney, urethra and the bladder. Detection of renal calculus presence in the early stages of growth is beneficial in the appropriate management of the condition that can take place, with options that include removal of calculus and diet modification. The objective of this work is to provide set of most significant content descriptive factors to identify and classify renal calculi. Most of the times physician decides the method to remove the stone by observing grey scale renal stone image and judging its' type, location and shape, but there is absence of the system in supporting their decision about the calculus. At least nine different types of renal calculi have been identified based on their chemical composition namely Calcium Oxalate Monohydrate (with mineral composition Whewellite), Calcium Oxalate Dihydrate (Weddelite), Magnesium Ammonium Phosphate Hexahydrate (struvite), Hydroxyapatite, Calcium Hydr. Phosphate Dihydrate (Brushite), Tricalcium Phosphate (Whitlockite), Uric acid, Cystine and Xanthine. HONDA make ultrasound scanner (model HS 2000) is used to acquire renal stone image of phantom design using balloon filled with water and renal stones of different chemical compositions, suspended in it. These acquired images are then analyzed using MATLAB for identifying various features including gray scale intensity variation in range, average, mean, median, standard deviation, area, volume and profile of renal calculi. There is a significant difference observed in features among different types of calculi.