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Segmentation of Renal Calculi in Ultrasound Kidney Images Using Modified Watershed Method

Segmentation of Renal Calculi in Ultrasound Kidney Images Using Modified Watershed Method

P. R. Tamilselvi
Copyright: © 2017 |Pages: 20
ISBN13: 9781522505716|ISBN10: 1522505717|EISBN13: 9781522505723
DOI: 10.4018/978-1-5225-0571-6.ch050
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MLA

Tamilselvi, P. R. "Segmentation of Renal Calculi in Ultrasound Kidney Images Using Modified Watershed Method." Medical Imaging: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2017, pp. 1238-1257. https://doi.org/10.4018/978-1-5225-0571-6.ch050

APA

Tamilselvi, P. R. (2017). Segmentation of Renal Calculi in Ultrasound Kidney Images Using Modified Watershed Method. In I. Management Association (Ed.), Medical Imaging: Concepts, Methodologies, Tools, and Applications (pp. 1238-1257). IGI Global. https://doi.org/10.4018/978-1-5225-0571-6.ch050

Chicago

Tamilselvi, P. R. "Segmentation of Renal Calculi in Ultrasound Kidney Images Using Modified Watershed Method." In Medical Imaging: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 1238-1257. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-0571-6.ch050

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Abstract

US images are a commonly used tool for renal calculi diagnosis, although they are time consuming and tedious for radiologists to manually detect and calculate the size of the renal calculi. It is very difficult to properly segment the US image to detect interested area of objects with the correct position and shape due to speckle formation and other artifacts. In addition, boundary edges may be missing or weak and usually incomplete at some places. With that point of view, the proposed method is developed for renal calculi segmentation. A new segmentation method is proposed in this chapter. Here, new region indicators and new modified watershed transformation are utilized. The proposed method is comprised of four major processes, namely preprocessing, determination of outer and inner region indictors, and modified watershed segmentation with ANFIS performance. The results show the effectiveness of proposed segmentation methods in segmenting the kidney stones and the achieved improvement in sensitivity and specificity measures.

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