Texture analysis of medical images
The analysis of texture parameters is a useful way of increasing the information obtainable from medical images. It is an ongoing field of research, with applications ranging from the segmentation of specific anatomical structures and the detection of lesions, to differentiation between pathological...
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Veröffentlicht in: | Clinical radiology 2004-12, Vol.59 (12), p.1061-1069 |
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creator | Castellano, G. Bonilha, L. Li, L.M. Cendes, F. |
description | The analysis of texture parameters is a useful way of increasing the information obtainable from medical images. It is an ongoing field of research, with applications ranging from the segmentation of specific anatomical structures and the detection of lesions, to differentiation between pathological and healthy tissue in different organs. Texture analysis uses radiological images obtained in routine diagnostic practice, but involves an ensemble of mathematical computations performed with the data contained within the images. In this article we clarify the principles of texture analysis and give examples of its applications, reviewing studies of the technique. |
doi_str_mv | 10.1016/j.crad.2004.07.008 |
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It is an ongoing field of research, with applications ranging from the segmentation of specific anatomical structures and the detection of lesions, to differentiation between pathological and healthy tissue in different organs. Texture analysis uses radiological images obtained in routine diagnostic practice, but involves an ensemble of mathematical computations performed with the data contained within the images. In this article we clarify the principles of texture analysis and give examples of its applications, reviewing studies of the technique.</description><identifier>ISSN: 0009-9260</identifier><identifier>EISSN: 1365-229X</identifier><identifier>DOI: 10.1016/j.crad.2004.07.008</identifier><identifier>PMID: 15556588</identifier><identifier>CODEN: CLRAAG</identifier><language>eng</language><publisher>Amsterdam: Elsevier Ltd</publisher><subject>Algorithms ; Biological and medical sciences ; Brain - diagnostic imaging ; Computed tomography (CT), tissue characterization ; Diagnosis, Computer-Assisted - methods ; Diagnostic Imaging ; Diagnostic radiology ; Humans ; Image Processing, Computer-Assisted - methods ; Images, analysis ; Images, processing ; Imaging, Three-Dimensional - methods ; Investigative techniques, diagnostic techniques (general aspects) ; Magnetic resonance (MR), tissue characterization ; Magnetic Resonance Imaging - methods ; Medical sciences ; Miscellaneous. Technology ; Pattern Recognition, Automated - methods ; Radiodiagnosis. Nmr imagery. Nmr spectrometry ; Tomography, X-Ray Computed - methods ; Ultrasonography - methods ; Ultrasound (US), tissue characterization</subject><ispartof>Clinical radiology, 2004-12, Vol.59 (12), p.1061-1069</ispartof><rights>2004 The Royal College of Radiologists</rights><rights>2005 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c415t-d69bed1427521a96ec1430696327ac7f539913ee610c2598bb46916cd74832293</citedby><cites>FETCH-LOGICAL-c415t-d69bed1427521a96ec1430696327ac7f539913ee610c2598bb46916cd74832293</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S000992600400265X$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27903,27904,65309</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=16291587$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/15556588$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Castellano, G.</creatorcontrib><creatorcontrib>Bonilha, L.</creatorcontrib><creatorcontrib>Li, L.M.</creatorcontrib><creatorcontrib>Cendes, F.</creatorcontrib><title>Texture analysis of medical images</title><title>Clinical radiology</title><addtitle>Clin Radiol</addtitle><description>The analysis of texture parameters is a useful way of increasing the information obtainable from medical images. It is an ongoing field of research, with applications ranging from the segmentation of specific anatomical structures and the detection of lesions, to differentiation between pathological and healthy tissue in different organs. Texture analysis uses radiological images obtained in routine diagnostic practice, but involves an ensemble of mathematical computations performed with the data contained within the images. In this article we clarify the principles of texture analysis and give examples of its applications, reviewing studies of the technique.</description><subject>Algorithms</subject><subject>Biological and medical sciences</subject><subject>Brain - diagnostic imaging</subject><subject>Computed tomography (CT), tissue characterization</subject><subject>Diagnosis, Computer-Assisted - methods</subject><subject>Diagnostic Imaging</subject><subject>Diagnostic radiology</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>Images, analysis</subject><subject>Images, processing</subject><subject>Imaging, Three-Dimensional - methods</subject><subject>Investigative techniques, diagnostic techniques (general aspects)</subject><subject>Magnetic resonance (MR), tissue characterization</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Medical sciences</subject><subject>Miscellaneous. Technology</subject><subject>Pattern Recognition, Automated - methods</subject><subject>Radiodiagnosis. Nmr imagery. Nmr spectrometry</subject><subject>Tomography, X-Ray Computed - methods</subject><subject>Ultrasonography - methods</subject><subject>Ultrasound (US), tissue characterization</subject><issn>0009-9260</issn><issn>1365-229X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkE1Lw0AQhhdRbK3-AQ8SBL0l7vdmwYsUv6DgpYK3ZbOZSEqa1N1U7L93QwO96WkYeN6XmQehS4Izgom8W2XO2zKjGPMMqwzj_AhNCZMipVR_HKMpxlinmko8QWchrIaVU36KJkQIIUWeT9H1En76rYfEtrbZhTokXZWsoaydbZJ6bT8hnKOTyjYBLsY5Q-9Pj8v5S7p4e36dPyxSx4no01LqAkrCqRKUWC3BEc6w1JJRZZ2qBNOaMABJsKNC50XBpSbSlYrnLB7MZuh237vx3dcWQm_WdXDQNLaFbhuMVFgLxeW_IFFMSJaTCNI96HwXgofKbHz8ye8MwWZQaFZmUGgGhQYrExXG0NXYvi2iiENkdBaBmxGwIVqqvG1dHQ6cpJqIXEXufs9BlPZdgzfB1dC6KNeD603Z1X_d8Qvi0Yvq</recordid><startdate>20041201</startdate><enddate>20041201</enddate><creator>Castellano, G.</creator><creator>Bonilha, L.</creator><creator>Li, L.M.</creator><creator>Cendes, F.</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>20041201</creationdate><title>Texture analysis of medical images</title><author>Castellano, G. ; Bonilha, L. ; Li, L.M. ; Cendes, F.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c415t-d69bed1427521a96ec1430696327ac7f539913ee610c2598bb46916cd74832293</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Algorithms</topic><topic>Biological and medical sciences</topic><topic>Brain - diagnostic imaging</topic><topic>Computed tomography (CT), tissue characterization</topic><topic>Diagnosis, Computer-Assisted - methods</topic><topic>Diagnostic Imaging</topic><topic>Diagnostic radiology</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted - methods</topic><topic>Images, analysis</topic><topic>Images, processing</topic><topic>Imaging, Three-Dimensional - methods</topic><topic>Investigative techniques, diagnostic techniques (general aspects)</topic><topic>Magnetic resonance (MR), tissue characterization</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Medical sciences</topic><topic>Miscellaneous. Technology</topic><topic>Pattern Recognition, Automated - methods</topic><topic>Radiodiagnosis. Nmr imagery. 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subjects | Algorithms Biological and medical sciences Brain - diagnostic imaging Computed tomography (CT), tissue characterization Diagnosis, Computer-Assisted - methods Diagnostic Imaging Diagnostic radiology Humans Image Processing, Computer-Assisted - methods Images, analysis Images, processing Imaging, Three-Dimensional - methods Investigative techniques, diagnostic techniques (general aspects) Magnetic resonance (MR), tissue characterization Magnetic Resonance Imaging - methods Medical sciences Miscellaneous. Technology Pattern Recognition, Automated - methods Radiodiagnosis. Nmr imagery. Nmr spectrometry Tomography, X-Ray Computed - methods Ultrasonography - methods Ultrasound (US), tissue characterization |
title | Texture analysis of medical images |
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