Improvement of lesion detection by echographic image processing: Signal-to-noise-ratio imaging
Signal-to-noise-ratio (SNR) images were constructed by a sliding window technique. Theoretical derivations of the first order statistical properties of SNR images are given for the case of intensity coding of the original images for low number densities and for the limit case of fully developed spec...
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Veröffentlicht in: | Ultrasonic imaging 1991-07, Vol.13 (3), p.238-251 |
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creator | Verhoeven, J.T.M. Thijssen, J.M. Theeuwes, A.G.M. |
description | Signal-to-noise-ratio (SNR) images were constructed by a sliding window technique. Theoretical derivations of the first order statistical properties of SNR images are given for the case of intensity coding of the original images for low number densities and for the limit case of fully developed speckle. The original images were obtained by realistic simulations of backscattering by homogeneous media, while using a range of number densities of the scatterers (isotropic scattering). The SNR imaging method is illustrated by results obtained from simulated scattering media containing a lesion that is contrasting in reflectivity level or in number density of the scatterers. A considerable improvement in lesion detection is obtained if the primary difference from the background speckle is due to a different number density of the scatterers within the lesion. |
doi_str_mv | 10.1016/0161-7346(91)90074-R |
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Theoretical derivations of the first order statistical properties of SNR images are given for the case of intensity coding of the original images for low number densities and for the limit case of fully developed speckle. The original images were obtained by realistic simulations of backscattering by homogeneous media, while using a range of number densities of the scatterers (isotropic scattering). The SNR imaging method is illustrated by results obtained from simulated scattering media containing a lesion that is contrasting in reflectivity level or in number density of the scatterers. A considerable improvement in lesion detection is obtained if the primary difference from the background speckle is due to a different number density of the scatterers within the lesion.</description><identifier>ISSN: 0161-7346</identifier><identifier>EISSN: 1096-0910</identifier><identifier>DOI: 10.1016/0161-7346(91)90074-R</identifier><identifier>PMID: 1957422</identifier><identifier>CODEN: ULIMD4</identifier><language>eng</language><publisher>Silver Spring, MD: Elsevier Inc</publisher><subject>Acoustic speckle ; B-mode echography ; Biological and medical sciences ; echographic image processing ; Image Processing, Computer-Assisted ; Investigative techniques, diagnostic techniques (general aspects) ; lesion detection ; lesion signal-to-noise ratio ; Mathematics ; Medical sciences ; Miscellaneous. Technology ; Physical Phenomena ; Physics ; scattering ; signal-to-noise-ratio imaging ; speckle ; Statistics as Topic ; Ultrasonic investigative techniques ; Ultrasonography - methods</subject><ispartof>Ultrasonic imaging, 1991-07, Vol.13 (3), p.238-251</ispartof><rights>1991</rights><rights>1992 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c384t-653d9fff3e0c63dca57d8b838b2e73e946f4ad548c9c47e16c857a23b47c4b063</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=5446077$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/1957422$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Verhoeven, J.T.M.</creatorcontrib><creatorcontrib>Thijssen, J.M.</creatorcontrib><creatorcontrib>Theeuwes, A.G.M.</creatorcontrib><title>Improvement of lesion detection by echographic image processing: Signal-to-noise-ratio imaging</title><title>Ultrasonic imaging</title><addtitle>Ultrason Imaging</addtitle><description>Signal-to-noise-ratio (SNR) images were constructed by a sliding window technique. Theoretical derivations of the first order statistical properties of SNR images are given for the case of intensity coding of the original images for low number densities and for the limit case of fully developed speckle. The original images were obtained by realistic simulations of backscattering by homogeneous media, while using a range of number densities of the scatterers (isotropic scattering). The SNR imaging method is illustrated by results obtained from simulated scattering media containing a lesion that is contrasting in reflectivity level or in number density of the scatterers. A considerable improvement in lesion detection is obtained if the primary difference from the background speckle is due to a different number density of the scatterers within the lesion.</description><subject>Acoustic speckle</subject><subject>B-mode echography</subject><subject>Biological and medical sciences</subject><subject>echographic image processing</subject><subject>Image Processing, Computer-Assisted</subject><subject>Investigative techniques, diagnostic techniques (general aspects)</subject><subject>lesion detection</subject><subject>lesion signal-to-noise ratio</subject><subject>Mathematics</subject><subject>Medical sciences</subject><subject>Miscellaneous. Technology</subject><subject>Physical Phenomena</subject><subject>Physics</subject><subject>scattering</subject><subject>signal-to-noise-ratio imaging</subject><subject>speckle</subject><subject>Statistics as Topic</subject><subject>Ultrasonic investigative techniques</subject><subject>Ultrasonography - methods</subject><issn>0161-7346</issn><issn>1096-0910</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1991</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kNFKHDEUhkNRdLV9gxbmQopexCaTTDLxoiDS6sKCYNvbhsyZM2tkZrIms8K-vVl3sXe9CCfwf__h8BHymbNLzrj6lh-nWkh1bviFYUxL-vCBzDgzijLD2QGZvSPH5CSlJ8Y4V1IfkSNuKi3Lckb-zodVDC844DgVoSt6TD6MRYsTwrT9NZsC4TEso1s9eij84JZY5ApgSn5cXhW__HJ0PZ0CHYNPSKPLvTcuxx_JYef6hJ_285T8-fnj980dXdzfzm-uFxRELSeqKtGarusEMlCiBVfptm5qUTclaoFGqk66tpI1GJAauYK60q4UjdQgG6bEKfm625sve15jmuzgE2DfuxHDOlldSqONrDIodyDEkFLEzq5ivjVuLGd2q9VundmtM2u4fdNqH3Lty37_uhmw_Vfaecz52T53CVzfRTeCT-9YJaViWmfs-w7D7OLFY7QJPI6ArY_Zt22D__8dr7V9lNM</recordid><startdate>19910701</startdate><enddate>19910701</enddate><creator>Verhoeven, J.T.M.</creator><creator>Thijssen, J.M.</creator><creator>Theeuwes, A.G.M.</creator><general>Elsevier Inc</general><general>Dynamedia</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>7X8</scope></search><sort><creationdate>19910701</creationdate><title>Improvement of lesion detection by echographic image processing: Signal-to-noise-ratio imaging</title><author>Verhoeven, J.T.M. ; Thijssen, J.M. ; Theeuwes, A.G.M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c384t-653d9fff3e0c63dca57d8b838b2e73e946f4ad548c9c47e16c857a23b47c4b063</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1991</creationdate><topic>Acoustic speckle</topic><topic>B-mode echography</topic><topic>Biological and medical sciences</topic><topic>echographic image processing</topic><topic>Image Processing, Computer-Assisted</topic><topic>Investigative techniques, diagnostic techniques (general aspects)</topic><topic>lesion detection</topic><topic>lesion signal-to-noise ratio</topic><topic>Mathematics</topic><topic>Medical sciences</topic><topic>Miscellaneous. Technology</topic><topic>Physical Phenomena</topic><topic>Physics</topic><topic>scattering</topic><topic>signal-to-noise-ratio imaging</topic><topic>speckle</topic><topic>Statistics as Topic</topic><topic>Ultrasonic investigative techniques</topic><topic>Ultrasonography - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Verhoeven, J.T.M.</creatorcontrib><creatorcontrib>Thijssen, J.M.</creatorcontrib><creatorcontrib>Theeuwes, A.G.M.</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Ultrasonic imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Verhoeven, J.T.M.</au><au>Thijssen, J.M.</au><au>Theeuwes, A.G.M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Improvement of lesion detection by echographic image processing: Signal-to-noise-ratio imaging</atitle><jtitle>Ultrasonic imaging</jtitle><addtitle>Ultrason Imaging</addtitle><date>1991-07-01</date><risdate>1991</risdate><volume>13</volume><issue>3</issue><spage>238</spage><epage>251</epage><pages>238-251</pages><issn>0161-7346</issn><eissn>1096-0910</eissn><coden>ULIMD4</coden><abstract>Signal-to-noise-ratio (SNR) images were constructed by a sliding window technique. Theoretical derivations of the first order statistical properties of SNR images are given for the case of intensity coding of the original images for low number densities and for the limit case of fully developed speckle. The original images were obtained by realistic simulations of backscattering by homogeneous media, while using a range of number densities of the scatterers (isotropic scattering). The SNR imaging method is illustrated by results obtained from simulated scattering media containing a lesion that is contrasting in reflectivity level or in number density of the scatterers. A considerable improvement in lesion detection is obtained if the primary difference from the background speckle is due to a different number density of the scatterers within the lesion.</abstract><cop>Silver Spring, MD</cop><pub>Elsevier Inc</pub><pmid>1957422</pmid><doi>10.1016/0161-7346(91)90074-R</doi><tpages>14</tpages></addata></record> |
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subjects | Acoustic speckle B-mode echography Biological and medical sciences echographic image processing Image Processing, Computer-Assisted Investigative techniques, diagnostic techniques (general aspects) lesion detection lesion signal-to-noise ratio Mathematics Medical sciences Miscellaneous. Technology Physical Phenomena Physics scattering signal-to-noise-ratio imaging speckle Statistics as Topic Ultrasonic investigative techniques Ultrasonography - methods |
title | Improvement of lesion detection by echographic image processing: Signal-to-noise-ratio imaging |
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