Noll, Matthias ; Puhl, Julian ; Wesarg, Stefan (2014)
Enhanced Shadow Detection for 3D Ultrasound.
Bildverarbeitung für die Medizin 2014.
doi: 10.1007/978-3-642-54111-7_45
Conference or Workshop Item, Bibliographie
Abstract
Ultrasound imaging offers a fast, convenient and save instrument to conduct patient examinations for various medical scenarios. However, depending on the target region, occluding bone segments and other materials cause large and undesirable shadowing artifacts. Thus, the experience of the ultrasound operator is crucial for obtaining an ultrasound without artifacts for patient diagnosis. Even more so, when applying automated image processing algorithms. We therefore like to introduce our automatic 3D ultrasound shadow detection method that employs scan line energy and local image entropy information. Applying the method can help to prevent low quality image acquisitions with large shadowing artifacts by indicating shadow occurrences.
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2014 |
| Creators: | Noll, Matthias ; Puhl, Julian ; Wesarg, Stefan |
| Type of entry: | Bibliographie |
| Title: | Enhanced Shadow Detection for 3D Ultrasound |
| Language: | English |
| Date: | 2014 |
| Publisher: | Springer, Berlin, Heidelberg, New York |
| Series: | Informatik aktuell |
| Event Title: | Bildverarbeitung für die Medizin 2014 |
| DOI: | 10.1007/978-3-642-54111-7_45 |
| Abstract: | Ultrasound imaging offers a fast, convenient and save instrument to conduct patient examinations for various medical scenarios. However, depending on the target region, occluding bone segments and other materials cause large and undesirable shadowing artifacts. Thus, the experience of the ultrasound operator is crucial for obtaining an ultrasound without artifacts for patient diagnosis. Even more so, when applying automated image processing algorithms. We therefore like to introduce our automatic 3D ultrasound shadow detection method that employs scan line energy and local image entropy information. Applying the method can help to prevent low quality image acquisitions with large shadowing artifacts by indicating shadow occurrences. |
| Uncontrolled Keywords: | Business Field: Visual decision support, Research Area: Human computer interaction (HCI), 3D Ultrasound, Artifacts, Shadows, Detection |
| Divisions: | 20 Department of Computer Science 20 Department of Computer Science > Interactive Graphics Systems |
| Date Deposited: | 12 Nov 2018 11:16 |
| Last Modified: | 12 Nov 2018 11:16 |
| PPN: | |
| Export: | |
| Suche nach Titel in: | TUfind oder in Google |
 |
Send an inquiry |
Options (only for editors)
 |
Show editorial Details |
Drucken
Impressum