Automated Kidney Detection and Segmentation in 3D Ultrasound

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8361)

Abstract

Ultrasound provides the physical capabilities for a fast and save disease diagnosis in various medical scenarios including renal exams and patient trauma assessment. However, the experience of the ultrasound operator is the key element in performing ultrasound diagnosis. Thus, we like to introduce our automatic kidney detection and segmentation algorithm for 3D ultrasound. The approach utilizes basic kidney shape information to detect the kidney position. Following, the Level Set algorithm is applied to segment the detection result. In combination this method may help physicians and inexperienced trainees to achieve kidney detection and segmentation for diagnostic purposes.

Keywords

Ultrasound Image analysis Kidney Shape prior  Detection Segmentation 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Cognitive Computing and Medical ImagingFraunhofer IGDDarmstadtGermany

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