Noll, Matthias ; Li, Xin ; Wesarg, Stefan (2014)
Automated Kidney Detection and Segmentation in 3D Ultrasound.
Clinical Image-Based Procedures. Translational Research in Medical Imaging.
doi: 10.1007/978-3-319-05666-1_11
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (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.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2014 |
| Autor(en): | Noll, Matthias ; Li, Xin ; Wesarg, Stefan |
| Art des Eintrags: | Bibliographie |
| Titel: | Automated Kidney Detection and Segmentation in 3D Ultrasound |
| Sprache: | Englisch |
| Publikationsjahr: | 2014 |
| Verlag: | Springer, Berlin, Heidelberg, New York |
| Reihe: | Lecture Notes in Computer Science (LNCS); 8361 |
| Veranstaltungstitel: | Clinical Image-Based Procedures. Translational Research in Medical Imaging |
| DOI: | 10.1007/978-3-319-05666-1_11 |
| Kurzbeschreibung (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. |
| Freie Schlagworte: | Business Field: Visual decision support, Research Area: Computer vision (CV), Ultrasound, Image analysis, Shape priors, Detection, Segmentation |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme |
| Hinterlegungsdatum: | 12 Nov 2018 11:16 |
| Letzte Änderung: | 12 Nov 2018 11:16 |
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