Matches in SemOpenAlex for { <https://semopenalex.org/work/W2024794061> ?p ?o ?g. }
Showing items 1 to 70 of
70
with 100 items per page.
- W2024794061 abstract "The method of surrogates is applied to three-dimensional MR images to assess and select texture measures for the quantitative characterization of trabecular bone structures for patients with and without osteoporotic bone fractures. Using methods borrowed from the analysis of nonlinear time series, it is possible to generate for a given 3D image surrogate images which have the same linear correlations and the same intensity distribution as the original one whereas all higher-order correlations are wiped out. For bone data (distal radius) from osteoporotic and healthy patients, surrogates are generated by using iterative techniques. In order to test for the presence of nonlinear correlations we calculate the spectrum of weighted scaling indices as a nonlinear texture measure sensitive to morphological image features. It is shown that a significant discrimination between original and surrogate data is possible by comparing the respective spectra. This proves that nonlinear correlations are relevant for bone images and must be taken into account in the texture analysis. The use of nonlinear measures becomes mandatory for an effective description of the image content. Generally, it turns out that the method of surrogate data is a vital tool for assessing the quality of texture measures for any kind of medical images." @default.
- W2024794061 created "2016-06-24" @default.
- W2024794061 creator A5010774655 @default.
- W2024794061 creator A5037572506 @default.
- W2024794061 creator A5073554566 @default.
- W2024794061 creator A5083768671 @default.
- W2024794061 creator A5084790756 @default.
- W2024794061 creator A5090133386 @default.
- W2024794061 date "2003-05-16" @default.
- W2024794061 modified "2023-10-16" @default.
- W2024794061 title "Analyzing and selecting texture measures for quantifying trabecular bone structures using surrogates" @default.
- W2024794061 doi "https://doi.org/10.1117/12.480448" @default.
- W2024794061 hasPublicationYear "2003" @default.
- W2024794061 type Work @default.
- W2024794061 sameAs 2024794061 @default.
- W2024794061 citedByCount "1" @default.
- W2024794061 crossrefType "proceedings-article" @default.
- W2024794061 hasAuthorship W2024794061A5010774655 @default.
- W2024794061 hasAuthorship W2024794061A5037572506 @default.
- W2024794061 hasAuthorship W2024794061A5073554566 @default.
- W2024794061 hasAuthorship W2024794061A5083768671 @default.
- W2024794061 hasAuthorship W2024794061A5084790756 @default.
- W2024794061 hasAuthorship W2024794061A5090133386 @default.
- W2024794061 hasConcept C11413529 @default.
- W2024794061 hasConcept C115961682 @default.
- W2024794061 hasConcept C121332964 @default.
- W2024794061 hasConcept C142806159 @default.
- W2024794061 hasConcept C153180895 @default.
- W2024794061 hasConcept C154945302 @default.
- W2024794061 hasConcept C158622935 @default.
- W2024794061 hasConcept C159694833 @default.
- W2024794061 hasConcept C2781195486 @default.
- W2024794061 hasConcept C31972630 @default.
- W2024794061 hasConcept C33923547 @default.
- W2024794061 hasConcept C41008148 @default.
- W2024794061 hasConcept C62520636 @default.
- W2024794061 hasConcept C63099799 @default.
- W2024794061 hasConcept C9417928 @default.
- W2024794061 hasConceptScore W2024794061C11413529 @default.
- W2024794061 hasConceptScore W2024794061C115961682 @default.
- W2024794061 hasConceptScore W2024794061C121332964 @default.
- W2024794061 hasConceptScore W2024794061C142806159 @default.
- W2024794061 hasConceptScore W2024794061C153180895 @default.
- W2024794061 hasConceptScore W2024794061C154945302 @default.
- W2024794061 hasConceptScore W2024794061C158622935 @default.
- W2024794061 hasConceptScore W2024794061C159694833 @default.
- W2024794061 hasConceptScore W2024794061C2781195486 @default.
- W2024794061 hasConceptScore W2024794061C31972630 @default.
- W2024794061 hasConceptScore W2024794061C33923547 @default.
- W2024794061 hasConceptScore W2024794061C41008148 @default.
- W2024794061 hasConceptScore W2024794061C62520636 @default.
- W2024794061 hasConceptScore W2024794061C63099799 @default.
- W2024794061 hasConceptScore W2024794061C9417928 @default.
- W2024794061 hasLocation W20247940611 @default.
- W2024794061 hasOpenAccess W2024794061 @default.
- W2024794061 hasPrimaryLocation W20247940611 @default.
- W2024794061 hasRelatedWork W1498629908 @default.
- W2024794061 hasRelatedWork W1840273037 @default.
- W2024794061 hasRelatedWork W1967418220 @default.
- W2024794061 hasRelatedWork W2156181680 @default.
- W2024794061 hasRelatedWork W2161229648 @default.
- W2024794061 hasRelatedWork W2170701234 @default.
- W2024794061 hasRelatedWork W2508908072 @default.
- W2024794061 hasRelatedWork W2509146328 @default.
- W2024794061 hasRelatedWork W3003164983 @default.
- W2024794061 hasRelatedWork W3204757516 @default.
- W2024794061 isParatext "false" @default.
- W2024794061 isRetracted "false" @default.
- W2024794061 magId "2024794061" @default.
- W2024794061 workType "article" @default.