A Novel Algorithm for Identification of Body Parts in Medical Images
In this paper, we introduce an algorithm based on energy information obtained from Wavelet Transform for classification of medical images according to imaging modalities and body parts. Various medical image retrieval systems are available today that classify images according to imaging modalities,...
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creator | Park, Jongan Kang, Gwangwon Pan, Sungbum Kim, Pankoo |
description | In this paper, we introduce an algorithm based on energy information obtained from Wavelet Transform for classification of medical images according to imaging modalities and body parts. Various medical image retrieval systems are available today that classify images according to imaging modalities, orientations, body parts or diseases. Generally these are limited to either some specific body part or some specific disease. Further, almost all of them deal with the DICOM imaging format. Our technique, on the other hand, can be applied to any of the imaging formats. The results are shown for JPEG images in addition to DICOM imaging format. We have used two types of wavelets and we have shown that energy obtained in either case is quite distinct for each of the body part. |
doi_str_mv | 10.1007/11881599_143 |
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Various medical image retrieval systems are available today that classify images according to imaging modalities, orientations, body parts or diseases. Generally these are limited to either some specific body part or some specific disease. Further, almost all of them deal with the DICOM imaging format. Our technique, on the other hand, can be applied to any of the imaging formats. The results are shown for JPEG images in addition to DICOM imaging format. We have used two types of wavelets and we have shown that energy obtained in either case is quite distinct for each of the body part.</description><identifier>ISSN: 0302-9743</identifier><identifier>ISBN: 3540459162</identifier><identifier>ISBN: 9783540459163</identifier><identifier>EISSN: 1611-3349</identifier><identifier>EISBN: 3540459170</identifier><identifier>EISBN: 9783540459170</identifier><identifier>DOI: 10.1007/11881599_143</identifier><language>eng</language><publisher>Berlin, Heidelberg: Springer Berlin Heidelberg</publisher><subject>Body Part ; DICOM Image ; High Resolution Compute Tomography ; Image Retrieval ; JPEG Image</subject><ispartof>Fuzzy Systems and Knowledge Discovery, 2006, p.1148-1158</ispartof><rights>Springer-Verlag Berlin Heidelberg 2006</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><relation>Lecture Notes in Computer Science</relation></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/11881599_143$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/11881599_143$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>780,781,785,794,27929,38259,41446,42515</link.rule.ids></links><search><contributor>Jiao, Licheng</contributor><contributor>Wang, Lipo</contributor><contributor>Li, Xue</contributor><contributor>Shi, Guanming</contributor><contributor>Liu, Jing</contributor><creatorcontrib>Park, Jongan</creatorcontrib><creatorcontrib>Kang, Gwangwon</creatorcontrib><creatorcontrib>Pan, Sungbum</creatorcontrib><creatorcontrib>Kim, Pankoo</creatorcontrib><title>A Novel Algorithm for Identification of Body Parts in Medical Images</title><title>Fuzzy Systems and Knowledge Discovery</title><description>In this paper, we introduce an algorithm based on energy information obtained from Wavelet Transform for classification of medical images according to imaging modalities and body parts. Various medical image retrieval systems are available today that classify images according to imaging modalities, orientations, body parts or diseases. Generally these are limited to either some specific body part or some specific disease. Further, almost all of them deal with the DICOM imaging format. Our technique, on the other hand, can be applied to any of the imaging formats. The results are shown for JPEG images in addition to DICOM imaging format. We have used two types of wavelets and we have shown that energy obtained in either case is quite distinct for each of the body part.</description><subject>Body Part</subject><subject>DICOM Image</subject><subject>High Resolution Compute Tomography</subject><subject>Image Retrieval</subject><subject>JPEG Image</subject><issn>0302-9743</issn><issn>1611-3349</issn><isbn>3540459162</isbn><isbn>9783540459163</isbn><isbn>3540459170</isbn><isbn>9783540459170</isbn><fulltext>true</fulltext><rsrctype>book_chapter</rsrctype><creationdate>2006</creationdate><recordtype>book_chapter</recordtype><sourceid/><recordid>eNqVj7tuwjAUQG8fSA20Gx9wZ6TAvbFD8MhTMIAYuluhcYJpiCs7qsTfF6RKdO10hnOWA9BnGjJRNmKeTDhVSrMUD9AVqSSZKs7oESIeM8dCSPV0F-PkGSISlMQqk-IFuiGciCjJVBLBYoo7921qnNaV87Y9nrF0HjeFaVpb2o-8ta5BV-LMFRfc574NaBvcmuLqatyc88qEV-iUeR3M2y97MFgt3-frOHx521TG64Nzn0Ez6duB_nsg_hX_AICZRVc</recordid><startdate>2006</startdate><enddate>2006</enddate><creator>Park, Jongan</creator><creator>Kang, Gwangwon</creator><creator>Pan, Sungbum</creator><creator>Kim, Pankoo</creator><general>Springer Berlin Heidelberg</general><scope/></search><sort><creationdate>2006</creationdate><title>A Novel Algorithm for Identification of Body Parts in Medical Images</title><author>Park, Jongan ; Kang, Gwangwon ; Pan, Sungbum ; Kim, Pankoo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-springer_books_10_1007_11881599_1433</frbrgroupid><rsrctype>book_chapters</rsrctype><prefilter>book_chapters</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Body Part</topic><topic>DICOM Image</topic><topic>High Resolution Compute Tomography</topic><topic>Image Retrieval</topic><topic>JPEG Image</topic><toplevel>online_resources</toplevel><creatorcontrib>Park, Jongan</creatorcontrib><creatorcontrib>Kang, Gwangwon</creatorcontrib><creatorcontrib>Pan, Sungbum</creatorcontrib><creatorcontrib>Kim, Pankoo</creatorcontrib></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Park, Jongan</au><au>Kang, Gwangwon</au><au>Pan, Sungbum</au><au>Kim, Pankoo</au><au>Jiao, Licheng</au><au>Wang, Lipo</au><au>Li, Xue</au><au>Shi, Guanming</au><au>Liu, Jing</au><format>book</format><genre>bookitem</genre><ristype>CHAP</ristype><atitle>A Novel Algorithm for Identification of Body Parts in Medical Images</atitle><btitle>Fuzzy Systems and Knowledge Discovery</btitle><seriestitle>Lecture Notes in Computer Science</seriestitle><date>2006</date><risdate>2006</risdate><spage>1148</spage><epage>1158</epage><pages>1148-1158</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>3540459162</isbn><isbn>9783540459163</isbn><eisbn>3540459170</eisbn><eisbn>9783540459170</eisbn><abstract>In this paper, we introduce an algorithm based on energy information obtained from Wavelet Transform for classification of medical images according to imaging modalities and body parts. Various medical image retrieval systems are available today that classify images according to imaging modalities, orientations, body parts or diseases. Generally these are limited to either some specific body part or some specific disease. Further, almost all of them deal with the DICOM imaging format. Our technique, on the other hand, can be applied to any of the imaging formats. The results are shown for JPEG images in addition to DICOM imaging format. We have used two types of wavelets and we have shown that energy obtained in either case is quite distinct for each of the body part.</abstract><cop>Berlin, Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/11881599_143</doi></addata></record> |
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subjects | Body Part DICOM Image High Resolution Compute Tomography Image Retrieval JPEG Image |
title | A Novel Algorithm for Identification of Body Parts in Medical Images |
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