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Thermal Parametric Imaging in the Evaluation of Skin Burn Depth
The aim of this paper is to determine the extent to which infrared (IR) thermal imaging may be used for skin burn depth evaluation. The analysis can be made on the basis of the development of a thermal model of the burned skin. Different methods such as the traditional clinical visual approach and t...
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Published in: | IEEE transactions on biomedical engineering 2007-02, Vol.54 (2), p.303-312 |
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description | The aim of this paper is to determine the extent to which infrared (IR) thermal imaging may be used for skin burn depth evaluation. The analysis can be made on the basis of the development of a thermal model of the burned skin. Different methods such as the traditional clinical visual approach and the IR imaging modalities of static IR thermal imaging, active IR thermal imaging and active-dynamic IR thermal imaging (ADT) are analyzed from the point of view of skin burn depth diagnostics. In ADT, a new approach is proposed on the basis of parametric image synthesis. Calculation software is implemented for single-node and distributed systems. The properties of all the methods are verified in experiments using phantoms and subsequently in vivo with animals with a reference histopathological examination. The results indicate that it is possible to distinguish objectively and quantitatively burns which will heal spontaneously within three weeks of infliction and which should be treated conservatively from those which need surgery because they will not heal within this period |
doi_str_mv | 10.1109/TBME.2006.886607 |
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The analysis can be made on the basis of the development of a thermal model of the burned skin. Different methods such as the traditional clinical visual approach and the IR imaging modalities of static IR thermal imaging, active IR thermal imaging and active-dynamic IR thermal imaging (ADT) are analyzed from the point of view of skin burn depth diagnostics. In ADT, a new approach is proposed on the basis of parametric image synthesis. Calculation software is implemented for single-node and distributed systems. The properties of all the methods are verified in experiments using phantoms and subsequently in vivo with animals with a reference histopathological examination. The results indicate that it is possible to distinguish objectively and quantitatively burns which will heal spontaneously within three weeks of infliction and which should be treated conservatively from those which need surgery because they will not heal within this period</description><identifier>ISSN: 0018-9294</identifier><identifier>EISSN: 1558-2531</identifier><identifier>DOI: 10.1109/TBME.2006.886607</identifier><identifier>PMID: 17278587</identifier><identifier>CODEN: IEBEAX</identifier><language>eng</language><publisher>United States: IEEE</publisher><subject>Active-dynamic IR thermal imaging ; Animals ; Biomedical measurements ; burn depth ; Burns - diagnosis ; Burns - physiopathology ; Diagnosis, Computer-Assisted - methods ; Heat detection ; Humans ; Image analysis ; In Vitro Techniques ; Infrared detectors ; Infrared imaging ; Infrared Rays ; Magnetic resonance imaging ; Optical imaging ; parametric imaging ; Reproducibility of Results ; Sensitivity and Specificity ; Severity of Illness Index ; Skin ; Skin - injuries ; Skin - physiopathology ; Skin Temperature ; Surgery ; Swine ; Thermography - methods ; Ultrasonic imaging ; Wounds</subject><ispartof>IEEE transactions on biomedical engineering, 2007-02, Vol.54 (2), p.303-312</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2007</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c407t-ac7b78587f0a9573353f7ee651259c51813df984eb28cde6e13adfc3fdfd7eef3</citedby><cites>FETCH-LOGICAL-c407t-ac7b78587f0a9573353f7ee651259c51813df984eb28cde6e13adfc3fdfd7eef3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4067165$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,54796</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17278587$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ruminski, Jacek</creatorcontrib><creatorcontrib>Kaczmarek, Mariusz</creatorcontrib><creatorcontrib>Renkielska, Alicja</creatorcontrib><creatorcontrib>Nowakowski, Antoni</creatorcontrib><title>Thermal Parametric Imaging in the Evaluation of Skin Burn Depth</title><title>IEEE transactions on biomedical engineering</title><addtitle>TBME</addtitle><addtitle>IEEE Trans Biomed Eng</addtitle><description>The aim of this paper is to determine the extent to which infrared (IR) thermal imaging may be used for skin burn depth evaluation. The analysis can be made on the basis of the development of a thermal model of the burned skin. Different methods such as the traditional clinical visual approach and the IR imaging modalities of static IR thermal imaging, active IR thermal imaging and active-dynamic IR thermal imaging (ADT) are analyzed from the point of view of skin burn depth diagnostics. In ADT, a new approach is proposed on the basis of parametric image synthesis. Calculation software is implemented for single-node and distributed systems. The properties of all the methods are verified in experiments using phantoms and subsequently in vivo with animals with a reference histopathological examination. The results indicate that it is possible to distinguish objectively and quantitatively burns which will heal spontaneously within three weeks of infliction and which should be treated conservatively from those which need surgery because they will not heal within this period</description><subject>Active-dynamic IR thermal imaging</subject><subject>Animals</subject><subject>Biomedical measurements</subject><subject>burn depth</subject><subject>Burns - diagnosis</subject><subject>Burns - physiopathology</subject><subject>Diagnosis, Computer-Assisted - methods</subject><subject>Heat detection</subject><subject>Humans</subject><subject>Image analysis</subject><subject>In Vitro Techniques</subject><subject>Infrared detectors</subject><subject>Infrared imaging</subject><subject>Infrared Rays</subject><subject>Magnetic resonance imaging</subject><subject>Optical imaging</subject><subject>parametric imaging</subject><subject>Reproducibility of Results</subject><subject>Sensitivity and Specificity</subject><subject>Severity of Illness Index</subject><subject>Skin</subject><subject>Skin - injuries</subject><subject>Skin - physiopathology</subject><subject>Skin Temperature</subject><subject>Surgery</subject><subject>Swine</subject><subject>Thermography - methods</subject><subject>Ultrasonic imaging</subject><subject>Wounds</subject><issn>0018-9294</issn><issn>1558-2531</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><recordid>eNqFkctLw0AQhxdRbK3eBUGCBz2l7iP7yElsrQ-oKFjPYZvMtql51E0i-N-7aYqCBz0ts_vNb9j5EDomeEgIDi9no8fJkGIshkoJgeUO6hPOlU85I7uojzFRfkjDoIcOqmrlykAFYh_1iKRScSX76Gq2BJvrzHvWVudQ2zT2HnK9SIuFlxZevQRv8qGzRtdpWXil8V7e3PWosYV3A-t6eYj2jM4qONqeA_R6O5mN7_3p093D-HrqxwGWta9jOd9MNFiHXDLGmZEAghPKw5gTRVhiQhXAnKo4AQGE6cTEzCQmcZxhA3TR5a5t-d5AVUd5WsWQZbqAsqkiJVwsxZQ58vxPUqhQccbEvyDFKpRkk3j2C1yVbgHuu24sU4GSooVwB8W2rCoLJlrbNNf2MyI4amVFrayolRV1slzL6Ta3meeQ_DRs7TjgpANSAPh-DrCQRHD2Bdk3ln4</recordid><startdate>20070201</startdate><enddate>20070201</enddate><creator>Ruminski, Jacek</creator><creator>Kaczmarek, Mariusz</creator><creator>Renkielska, Alicja</creator><creator>Nowakowski, Antoni</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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diagnosis</topic><topic>Burns - physiopathology</topic><topic>Diagnosis, Computer-Assisted - methods</topic><topic>Heat detection</topic><topic>Humans</topic><topic>Image analysis</topic><topic>In Vitro Techniques</topic><topic>Infrared detectors</topic><topic>Infrared imaging</topic><topic>Infrared Rays</topic><topic>Magnetic resonance imaging</topic><topic>Optical imaging</topic><topic>parametric imaging</topic><topic>Reproducibility of Results</topic><topic>Sensitivity and Specificity</topic><topic>Severity of Illness Index</topic><topic>Skin</topic><topic>Skin - injuries</topic><topic>Skin - physiopathology</topic><topic>Skin Temperature</topic><topic>Surgery</topic><topic>Swine</topic><topic>Thermography - methods</topic><topic>Ultrasonic imaging</topic><topic>Wounds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ruminski, Jacek</creatorcontrib><creatorcontrib>Kaczmarek, Mariusz</creatorcontrib><creatorcontrib>Renkielska, Alicja</creatorcontrib><creatorcontrib>Nowakowski, Antoni</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005–Present</collection><collection>IEEE All-Society Periodicals Package (ASPP) Online</collection><collection>IEEE Xplore Digital Library</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>IEEE transactions on biomedical engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ruminski, Jacek</au><au>Kaczmarek, Mariusz</au><au>Renkielska, Alicja</au><au>Nowakowski, Antoni</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Thermal Parametric Imaging in the Evaluation of Skin Burn Depth</atitle><jtitle>IEEE transactions on biomedical engineering</jtitle><stitle>TBME</stitle><addtitle>IEEE Trans Biomed Eng</addtitle><date>2007-02-01</date><risdate>2007</risdate><volume>54</volume><issue>2</issue><spage>303</spage><epage>312</epage><pages>303-312</pages><issn>0018-9294</issn><eissn>1558-2531</eissn><coden>IEBEAX</coden><abstract>The aim of this paper is to determine the extent to which infrared (IR) thermal imaging may be used for skin burn depth evaluation. The analysis can be made on the basis of the development of a thermal model of the burned skin. Different methods such as the traditional clinical visual approach and the IR imaging modalities of static IR thermal imaging, active IR thermal imaging and active-dynamic IR thermal imaging (ADT) are analyzed from the point of view of skin burn depth diagnostics. In ADT, a new approach is proposed on the basis of parametric image synthesis. Calculation software is implemented for single-node and distributed systems. The properties of all the methods are verified in experiments using phantoms and subsequently in vivo with animals with a reference histopathological examination. The results indicate that it is possible to distinguish objectively and quantitatively burns which will heal spontaneously within three weeks of infliction and which should be treated conservatively from those which need surgery because they will not heal within this period</abstract><cop>United States</cop><pub>IEEE</pub><pmid>17278587</pmid><doi>10.1109/TBME.2006.886607</doi><tpages>10</tpages></addata></record> |
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subjects | Active-dynamic IR thermal imaging Animals Biomedical measurements burn depth Burns - diagnosis Burns - physiopathology Diagnosis, Computer-Assisted - methods Heat detection Humans Image analysis In Vitro Techniques Infrared detectors Infrared imaging Infrared Rays Magnetic resonance imaging Optical imaging parametric imaging Reproducibility of Results Sensitivity and Specificity Severity of Illness Index Skin Skin - injuries Skin - physiopathology Skin Temperature Surgery Swine Thermography - methods Ultrasonic imaging Wounds |
title | Thermal Parametric Imaging in the Evaluation of Skin Burn Depth |
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