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Model-based left ventricle segmentation in 3D ultrasound using phase image
Linköping University, Department of Medical and Health Sciences, Division of Radiological Sciences. Linköping University, Faculty of Health Sciences. Linköping University, Center for Medical Image Science and Visualization (CMIV).ORCID iD: 0000-0002-0442-3524
Linköping University, Department of Medical and Health Sciences, Division of Radiological Sciences. Linköping University, Faculty of Health Sciences. Linköping University, Center for Medical Image Science and Visualization (CMIV). Östergötlands Läns Landsting, Center for Diagnostics, Department of Radiology in Linköping.ORCID iD: 0000-0002-7750-1917
2014 (English)Conference paper, Poster (with or without abstract) (Other academic)
Abstract [en]

In this paper, we propose a semi-automatic method for left ventricle segmentation. The proposed method utilizes a multi-scale quadrature filter method to enhance the 3D volume, followed by a model-based level set method to segment the endocardial surface of the left ventricle. The phase map from the quadrature filters is also used to weight the influence of contour points when updating the statistical model.

Place, publisher, year, edition, pages
2014.
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:liu:diva-115744OAI: oai:DiVA.org:liu-115744DiVA: diva2:796219
Conference
MICCAI Workshop " Grand Challenge on Endocardial Three-dimensional Ultrasound Segmentation", Boston, US, 2014.
Available from: 2015-03-18 Created: 2015-03-18 Last updated: 2015-06-11

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Wang, ChunliangSmedby, Örjan

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Wang, ChunliangSmedby, Örjan
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Division of Radiological SciencesFaculty of Health SciencesCenter for Medical Image Science and Visualization (CMIV)Department of Radiology in Linköping
Signal Processing

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