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rdf:type |
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lifeskim:mentions |
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pubmed:issue |
1
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pubmed:dateCreated |
2007-1-5
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pubmed:abstractText |
The segmentation of metastatic volumes in PET is usually performed by thresholding methods. In a clinical application, the optimum threshold obtained from the adaptive thresholding method requires a priori estimation of the lesion volume from anatomic images such as CT. We describe an iterative thresholding method (ITM) used to estimate the PET volumes without anatomic a priori knowledge and its application to clinical images.
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
IM
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pubmed:chemical |
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pubmed:status |
MEDLINE
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pubmed:month |
Jan
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pubmed:issn |
0161-5505
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pubmed:author |
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pubmed:issnType |
Print
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pubmed:volume |
48
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
108-14
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pubmed:meshHeading |
pubmed-meshheading:17204706-Calibration,
pubmed-meshheading:17204706-Humans,
pubmed-meshheading:17204706-Image Interpretation, Computer-Assisted,
pubmed-meshheading:17204706-Image Processing, Computer-Assisted,
pubmed-meshheading:17204706-Iodine Radioisotopes,
pubmed-meshheading:17204706-Pattern Recognition, Automated,
pubmed-meshheading:17204706-Phantoms, Imaging,
pubmed-meshheading:17204706-Positron-Emission Tomography,
pubmed-meshheading:17204706-Radiation Dosage,
pubmed-meshheading:17204706-Radiometry,
pubmed-meshheading:17204706-Radiopharmaceuticals,
pubmed-meshheading:17204706-Radiotherapy,
pubmed-meshheading:17204706-Subtraction Technique,
pubmed-meshheading:17204706-Tomography, X-Ray Computed
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pubmed:year |
2007
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pubmed:articleTitle |
Segmentation of PET volumes by iterative image thresholding.
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pubmed:affiliation |
Clinic for Nuclear Medicine, University of Duisburg-Essen, Essen, Germany. walter.jentzen@uni-duisburg-essen.de
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pubmed:publicationType |
Journal Article
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