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AUTOMATIC SEGMENTAT...
AUTOMATIC SEGMENTATION OF PELVIS FOR BRACHYTHERAPYOF PROSTATE
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- Kardell, Martin (author)
- Linköpings universitet,Avdelningen för radiologiska vetenskaper,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Medicinska fakulteten
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- Magnusson, Maria (author)
- Linköpings universitet,Datorseende,Avdelningen för radiologiska vetenskaper,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Medicinska fakulteten,Tekniska fakulteten
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- Sandborg, Michael, 1961- (author)
- Linköpings universitet,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Avdelningen för radiologiska vetenskaper,Medicinska fakulteten,Region Östergötland, Radiofysikavdelningen US
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- Alm Carlsson, Gudrun (author)
- Linköpings universitet,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Avdelningen för radiologiska vetenskaper,Medicinska fakulteten,Region Östergötland, Radiofysikavdelningen US
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- Jeuthe, Julius (author)
- Linköpings universitet,Avdelningen för radiologiska vetenskaper,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Medicinska fakulteten
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- Malusek, Alexandr (author)
- Linköpings universitet,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Avdelningen för radiologiska vetenskaper,Medicinska fakulteten
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(creator_code:org_t)
- 2015-11-12
- 2016
- English.
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In: Radiation Protection Dosimetry. - : Oxford University Press (OUP). - 0144-8420 .- 1742-3406. ; 169:1-4, s. 398-404
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https://liu.diva-por... (primary) (Raw object)
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http://liu.diva-port...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- Advanced model-based iterative reconstruction algorithms in quantitative computed tomography (CT) perform automatic segmentation of tissues to estimate material properties of the imaged object. Compared with conventional methods, these algorithms may improve quality of reconstructed images and accuracy of radiation treatment planning. Automatic segmentation of tissues is, however, a difficult task. The aim of this work was to develop and evaluate an algorithm that automatically segments tissues in CT images of the male pelvis. The newly developed algorithm (MK2014) combines histogram matching, thresholding, region growing, deformable model and atlas-based registration techniques for the segmentation of bones, adipose tissue, prostate and muscles in CT images. Visual inspection of segmented images showed that the algorithm performed well for the five analysed images. The tissues were identified and outlined with accuracy sufficient for the dual-energy iterative reconstruction algorithm whose aim is to improve the accuracy of radiation treatment planning in brachytherapy of the prostate.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Medicinteknik -- Medicinsk bildbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Medical Engineering -- Medical Image Processing (hsv//eng)
Publication and Content Type
- ref (subject category)
- art (subject category)
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