3D marker-controlled watershed for kidney segmentation in clinical CT exams

Biomedical Engineering Online
Wojciech Wieclawek

Abstract

Image segmentation is an essential and non trivial task in computer vision and medical image analysis. Computed tomography (CT) is one of the most accessible medical examination techniques to visualize the interior of a patient's body. Among different computer-aided diagnostic systems, the applications dedicated to kidney segmentation represent a relatively small group. In addition, literature solutions are verified on relatively small databases. The goal of this research is to develop a novel algorithm for fully automated kidney segmentation. This approach is designed for large database analysis including both physiological and pathological cases. This study presents a 3D marker-controlled watershed transform developed and employed for fully automated CT kidney segmentation. The original and the most complex step in the current proposition is an automatic generation of 3D marker images. The final kidney segmentation step is an analysis of the labelled image obtained from marker-controlled watershed transform. It consists of morphological operations and shape analysis. The implementation is conducted in a MATLAB environment, Version 2017a, using i.a. Image Processing Toolbox. 170 clinical CT abdominal studies have been subjecte...Continue Reading

References

Oct 3, 1980·Science·G N Hounsfield
Feb 1, 2006·IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society·Daw-Tung LinSiu-Wan Hung
Oct 19, 2011·Medical Image Computing and Computer-assisted Intervention : MICCAI·Fahmi KhalifaAyman El-Baz
Dec 29, 2011·IEEE Transactions on Medical Imaging·Ulas BagciJayaram K Udupa
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Jun 8, 2013·IEEE Transactions on Medical Imaging·Robin WolzDaniel Rueckert

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