Visual and quantitative evaluation of selected image combination schemes in ultrasound spatial compound scanning
Multi-angle spatial compound images are normally generated by averaging the recorded single-angle images (SAIs). To exploit possible advantages associated with alternative combination schemes, this paper investigates both the effect of number of angles (N/sub /spl theta//) as well as operator (mean,...
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description | Multi-angle spatial compound images are normally generated by averaging the recorded single-angle images (SAIs). To exploit possible advantages associated with alternative combination schemes, this paper investigates both the effect of number of angles (N/sub /spl theta//) as well as operator (mean, median, mean-excluding-maximum (mem), root-mean-square (rms), geometric mean and maximum) on image quality (tissue delineation and artifacts), speckle signal-to-noise ratio (SNR/sub s/) and contrast. The evaluation is based on in vitro SAI (/spl plusmn/21/spl deg/ in steps of /spl Delta//spl theta/=7/spl deg/) of formalin fixed porcine tissue containing adipose, connective and muscular tissue. Image quality increased with number of angles up to /spl plusmn/14/spl deg/ after which the improvements became debatable. The mem and median operators, which try to render the images more quantitatively correct by suppressing strong echoes from specular reflectors, provide some improvement in this regard. When combining the SAI with the mean operator, the SNR/sub s/ increases-in general-with N/sub /spl theta//. For N/sub /spl theta//=2, the SNR/sub s/ increases with /spl Delta//spl theta/ as expected. When N/sub /spl theta//=7, the highest SNR/sub s/ is obtained for the mem, rms, and geometric mean operators, while the lowest SNR/sub s/ is obtained for the maximum operator. When comparing SNR/sub s/ for adipose and fibrous tissue, the level is close to 1.91 for adipose tissue but only 1.7 for fibrous tissue which contain relatively few organized scattering structures. |
doi_str_mv | 10.1109/TMI.2003.822824 |
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To exploit possible advantages associated with alternative combination schemes, this paper investigates both the effect of number of angles (N/sub /spl theta//) as well as operator (mean, median, mean-excluding-maximum (mem), root-mean-square (rms), geometric mean and maximum) on image quality (tissue delineation and artifacts), speckle signal-to-noise ratio (SNR/sub s/) and contrast. The evaluation is based on in vitro SAI (/spl plusmn/21/spl deg/ in steps of /spl Delta//spl theta/=7/spl deg/) of formalin fixed porcine tissue containing adipose, connective and muscular tissue. Image quality increased with number of angles up to /spl plusmn/14/spl deg/ after which the improvements became debatable. The mem and median operators, which try to render the images more quantitatively correct by suppressing strong echoes from specular reflectors, provide some improvement in this regard. When combining the SAI with the mean operator, the SNR/sub s/ increases-in general-with N/sub /spl theta//. For N/sub /spl theta//=2, the SNR/sub s/ increases with /spl Delta//spl theta/ as expected. When N/sub /spl theta//=7, the highest SNR/sub s/ is obtained for the mem, rms, and geometric mean operators, while the lowest SNR/sub s/ is obtained for the maximum operator. When comparing SNR/sub s/ for adipose and fibrous tissue, the level is close to 1.91 for adipose tissue but only 1.7 for fibrous tissue which contain relatively few organized scattering structures.</description><identifier>ISSN: 0278-0062</identifier><identifier>EISSN: 1558-254X</identifier><identifier>DOI: 10.1109/TMI.2003.822824</identifier><identifier>PMID: 14964563</identifier><identifier>CODEN: ITMID4</identifier><language>eng</language><publisher>United States: IEEE</publisher><subject>Adipose Tissue - cytology ; Adipose Tissue - diagnostic imaging ; Algorithms ; Animals ; Arteriosclerosis ; Biological materials ; Connective Tissue - diagnostic imaging ; Connective Tissue - ultrastructure ; Image Enhancement - methods ; Image generation ; Image Interpretation, Computer-Assisted - methods ; Image quality ; Imaging, Three-Dimensional - methods ; In vitro ; In Vitro Techniques ; Muscle, Skeletal - cytology ; Muscle, Skeletal - diagnostic imaging ; Rendering (computer graphics) ; Reproducibility of Results ; Sensitivity and Specificity ; Signal to noise ratio ; Speckle ; Subtraction Technique ; Swine ; Ultrasonic imaging ; Ultrasonic transducers ; Ultrasonography - methods</subject><ispartof>IEEE transactions on medical imaging, 2004-02, Vol.23 (2), p.181-190</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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To exploit possible advantages associated with alternative combination schemes, this paper investigates both the effect of number of angles (N/sub /spl theta//) as well as operator (mean, median, mean-excluding-maximum (mem), root-mean-square (rms), geometric mean and maximum) on image quality (tissue delineation and artifacts), speckle signal-to-noise ratio (SNR/sub s/) and contrast. The evaluation is based on in vitro SAI (/spl plusmn/21/spl deg/ in steps of /spl Delta//spl theta/=7/spl deg/) of formalin fixed porcine tissue containing adipose, connective and muscular tissue. Image quality increased with number of angles up to /spl plusmn/14/spl deg/ after which the improvements became debatable. The mem and median operators, which try to render the images more quantitatively correct by suppressing strong echoes from specular reflectors, provide some improvement in this regard. When combining the SAI with the mean operator, the SNR/sub s/ increases-in general-with N/sub /spl theta//. For N/sub /spl theta//=2, the SNR/sub s/ increases with /spl Delta//spl theta/ as expected. When N/sub /spl theta//=7, the highest SNR/sub s/ is obtained for the mem, rms, and geometric mean operators, while the lowest SNR/sub s/ is obtained for the maximum operator. When comparing SNR/sub s/ for adipose and fibrous tissue, the level is close to 1.91 for adipose tissue but only 1.7 for fibrous tissue which contain relatively few organized scattering structures.</description><subject>Adipose Tissue - cytology</subject><subject>Adipose Tissue - diagnostic imaging</subject><subject>Algorithms</subject><subject>Animals</subject><subject>Arteriosclerosis</subject><subject>Biological materials</subject><subject>Connective Tissue - diagnostic imaging</subject><subject>Connective Tissue - ultrastructure</subject><subject>Image Enhancement - methods</subject><subject>Image generation</subject><subject>Image Interpretation, Computer-Assisted - methods</subject><subject>Image quality</subject><subject>Imaging, Three-Dimensional - methods</subject><subject>In vitro</subject><subject>In Vitro Techniques</subject><subject>Muscle, Skeletal - cytology</subject><subject>Muscle, Skeletal - diagnostic imaging</subject><subject>Rendering (computer graphics)</subject><subject>Reproducibility of Results</subject><subject>Sensitivity and Specificity</subject><subject>Signal to noise ratio</subject><subject>Speckle</subject><subject>Subtraction Technique</subject><subject>Swine</subject><subject>Ultrasonic imaging</subject><subject>Ultrasonic transducers</subject><subject>Ultrasonography - methods</subject><issn>0278-0062</issn><issn>1558-254X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><sourceid>EIF</sourceid><recordid>eNqF0k1rFTEUBuAgir2trl0IElzU1dyeZPI1Syl-FCpuqrgbMpmTmjKTmU4mBf-9ucyFggu7Ssh58hJyDiFvGOwZg-bi5tvVngPUe8O54eIZ2TEpTcWl-PWc7IBrUwEofkJOU7oDYEJC85KcMNEoIVW9I_PPkLIdqI09vc82rmG1a3hAig92yGU7RTp5mnBAt2JPw2hvkbpp7ELcqsn9xhETDZHmYV1smnLJSnOpltwi5-3A2RhDvH1FXng7JHx9XM_Ij8-fbi6_Vtffv1xdfryunBRsrdBp4XTHJHohOHbeM6h1L41kUnVSWc68ks5b1Te1BO-7zjRWoNCyd9b19Rn5sOXOy3SfMa3tGJLDYbARp5xaY2rgjTK6yPP_S2CKcwlPQm40F2Dkk5BpbhppVIHv_4F3U15i-ZfD-xrQrD6giw25ZUppQd_OS2nD8qdl0B6moC1T0B6moN2moNx4d4zN3Yj9oz-2vYC3GwiI-FjmqlZg6r9PoLev</recordid><startdate>20040201</startdate><enddate>20040201</enddate><creator>Wilhjelm, J.E.</creator><creator>Jensen, M.S.</creator><creator>Jespersen, S.K.</creator><creator>Sahl, B.</creator><creator>Falk, E.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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cytology</topic><topic>Adipose Tissue - diagnostic imaging</topic><topic>Algorithms</topic><topic>Animals</topic><topic>Arteriosclerosis</topic><topic>Biological materials</topic><topic>Connective Tissue - diagnostic imaging</topic><topic>Connective Tissue - ultrastructure</topic><topic>Image Enhancement - methods</topic><topic>Image generation</topic><topic>Image Interpretation, Computer-Assisted - methods</topic><topic>Image quality</topic><topic>Imaging, Three-Dimensional - methods</topic><topic>In vitro</topic><topic>In Vitro Techniques</topic><topic>Muscle, Skeletal - cytology</topic><topic>Muscle, Skeletal - diagnostic imaging</topic><topic>Rendering (computer graphics)</topic><topic>Reproducibility of Results</topic><topic>Sensitivity and Specificity</topic><topic>Signal to noise ratio</topic><topic>Speckle</topic><topic>Subtraction Technique</topic><topic>Swine</topic><topic>Ultrasonic imaging</topic><topic>Ultrasonic transducers</topic><topic>Ultrasonography - methods</topic><toplevel>online_resources</toplevel><creatorcontrib>Wilhjelm, J.E.</creatorcontrib><creatorcontrib>Jensen, M.S.</creatorcontrib><creatorcontrib>Jespersen, S.K.</creatorcontrib><creatorcontrib>Sahl, B.</creatorcontrib><creatorcontrib>Falk, E.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</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>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>IEEE transactions on medical imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Wilhjelm, J.E.</au><au>Jensen, M.S.</au><au>Jespersen, S.K.</au><au>Sahl, B.</au><au>Falk, E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Visual and quantitative evaluation of selected image combination schemes in ultrasound spatial compound scanning</atitle><jtitle>IEEE transactions on medical imaging</jtitle><stitle>TMI</stitle><addtitle>IEEE Trans Med Imaging</addtitle><date>2004-02-01</date><risdate>2004</risdate><volume>23</volume><issue>2</issue><spage>181</spage><epage>190</epage><pages>181-190</pages><issn>0278-0062</issn><eissn>1558-254X</eissn><coden>ITMID4</coden><abstract>Multi-angle spatial compound images are normally generated by averaging the recorded single-angle images (SAIs). To exploit possible advantages associated with alternative combination schemes, this paper investigates both the effect of number of angles (N/sub /spl theta//) as well as operator (mean, median, mean-excluding-maximum (mem), root-mean-square (rms), geometric mean and maximum) on image quality (tissue delineation and artifacts), speckle signal-to-noise ratio (SNR/sub s/) and contrast. The evaluation is based on in vitro SAI (/spl plusmn/21/spl deg/ in steps of /spl Delta//spl theta/=7/spl deg/) of formalin fixed porcine tissue containing adipose, connective and muscular tissue. Image quality increased with number of angles up to /spl plusmn/14/spl deg/ after which the improvements became debatable. The mem and median operators, which try to render the images more quantitatively correct by suppressing strong echoes from specular reflectors, provide some improvement in this regard. When combining the SAI with the mean operator, the SNR/sub s/ increases-in general-with N/sub /spl theta//. For N/sub /spl theta//=2, the SNR/sub s/ increases with /spl Delta//spl theta/ as expected. When N/sub /spl theta//=7, the highest SNR/sub s/ is obtained for the mem, rms, and geometric mean operators, while the lowest SNR/sub s/ is obtained for the maximum operator. When comparing SNR/sub s/ for adipose and fibrous tissue, the level is close to 1.91 for adipose tissue but only 1.7 for fibrous tissue which contain relatively few organized scattering structures.</abstract><cop>United States</cop><pub>IEEE</pub><pmid>14964563</pmid><doi>10.1109/TMI.2003.822824</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adipose Tissue - cytology Adipose Tissue - diagnostic imaging Algorithms Animals Arteriosclerosis Biological materials Connective Tissue - diagnostic imaging Connective Tissue - ultrastructure Image Enhancement - methods Image generation Image Interpretation, Computer-Assisted - methods Image quality Imaging, Three-Dimensional - methods In vitro In Vitro Techniques Muscle, Skeletal - cytology Muscle, Skeletal - diagnostic imaging Rendering (computer graphics) Reproducibility of Results Sensitivity and Specificity Signal to noise ratio Speckle Subtraction Technique Swine Ultrasonic imaging Ultrasonic transducers Ultrasonography - methods |
title | Visual and quantitative evaluation of selected image combination schemes in ultrasound spatial compound scanning |
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