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  4. Automated kidney detection and segmentation in 3D ultrasound
 
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2014
Conference Paper
Title

Automated kidney detection and segmentation in 3D ultrasound

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.
Author(s)
Noll, Matthias  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Li, Xin
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Wesarg, Stefan  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Mainwork
Clinical image-based procedures  
Conference
International Workshop on Clinical Image-Based Procedures (CLIP) 2013  
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2013  
DOI
10.1007/978-3-319-05666-1_11
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • ultrasound

  • image analysis

  • shape priors

  • detection

  • segmentation

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