SDI: New metric for quantification of speckle noise in ultrasound imaging
In ultrasound images a special type of acoustic noise, technically known as speckle noise, is the major factor of image quality degradation. In order to improve the image quality by means of speckle suppression and thus to increase the diagnostic potential of medical ultrasound, it is important to q...
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| creator | Joshi, K.R. Kamathe, R.S. |
| description | In ultrasound images a special type of acoustic noise, technically known as speckle noise, is the major factor of image quality degradation. In order to improve the image quality by means of speckle suppression and thus to increase the diagnostic potential of medical ultrasound, it is important to quantify the speckle. This paper describes, quality metrics for speckle in coherent imaging and their limitations. It also describes a new metric-SDI, its uniqueness in quantifying the speckle and comparison of performance with existing metrics. Empirical verification of SDI with a set of Test Images proves its speckle quantification in ultrasound. A subjective criterion is also taken into account to support the results. |
| doi_str_mv | 10.1109/MMSP.2008.4665060 |
| format | Conference Proceeding |
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In order to improve the image quality by means of speckle suppression and thus to increase the diagnostic potential of medical ultrasound, it is important to quantify the speckle. This paper describes, quality metrics for speckle in coherent imaging and their limitations. It also describes a new metric-SDI, its uniqueness in quantifying the speckle and comparison of performance with existing metrics. Empirical verification of SDI with a set of Test Images proves its speckle quantification in ultrasound. 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In order to improve the image quality by means of speckle suppression and thus to increase the diagnostic potential of medical ultrasound, it is important to quantify the speckle. This paper describes, quality metrics for speckle in coherent imaging and their limitations. It also describes a new metric-SDI, its uniqueness in quantifying the speckle and comparison of performance with existing metrics. Empirical verification of SDI with a set of Test Images proves its speckle quantification in ultrasound. A subjective criterion is also taken into account to support the results.</description><subject>Degradation</subject><subject>Imaging</subject><subject>Noise</subject><subject>Noise level</subject><subject>Noise measurement</subject><subject>Speckle</subject><subject>Ultrasonic imaging</subject><isbn>9781424422944</isbn><isbn>1424422949</isbn><isbn>1424422957</isbn><isbn>9781424422951</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1kNtKw0AURUekoK35APFlfiDxzJlbxjept0CrQvW5pJMzZTRNai6If69ifdpsWOwFm7FzAZkQ4C6Xy9VzhgB5pozRYOCITYVCpRCdtscscTb_70pN2PSXdYBC4glL-v4NAIQ1SoI-ZcXqprjij_TJdzR00fPQdvxjLJshhujLIbYNbwPv9-Tfa-JNG3viseFjPXRl345NxeOu3MZme8Ymoax7Sg45Y693ty_zh3TxdF_MrxdpFFYPqVHOoTK5D2rjyVoBuCFEX2KugSoEIYMxkqRWQZA0wmttQeToCJwOlZyxi7_dSETrffej777WhyvkN8XhToQ</recordid><startdate>200810</startdate><enddate>200810</enddate><creator>Joshi, K.R.</creator><creator>Kamathe, R.S.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200810</creationdate><title>SDI: New metric for quantification of speckle noise in ultrasound imaging</title><author>Joshi, K.R. ; Kamathe, R.S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-64992468cf4bce77102be22ca2850ed2013f663e354f1e361c55701829e095fd3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Degradation</topic><topic>Imaging</topic><topic>Noise</topic><topic>Noise level</topic><topic>Noise measurement</topic><topic>Speckle</topic><topic>Ultrasonic imaging</topic><toplevel>online_resources</toplevel><creatorcontrib>Joshi, K.R.</creatorcontrib><creatorcontrib>Kamathe, R.S.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Joshi, K.R.</au><au>Kamathe, R.S.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>SDI: New metric for quantification of speckle noise in ultrasound imaging</atitle><btitle>2008 IEEE 10th Workshop on Multimedia Signal Processing</btitle><stitle>MMSP</stitle><date>2008-10</date><risdate>2008</risdate><spage>122</spage><epage>126</epage><pages>122-126</pages><isbn>9781424422944</isbn><isbn>1424422949</isbn><eisbn>1424422957</eisbn><eisbn>9781424422951</eisbn><abstract>In ultrasound images a special type of acoustic noise, technically known as speckle noise, is the major factor of image quality degradation. In order to improve the image quality by means of speckle suppression and thus to increase the diagnostic potential of medical ultrasound, it is important to quantify the speckle. This paper describes, quality metrics for speckle in coherent imaging and their limitations. It also describes a new metric-SDI, its uniqueness in quantifying the speckle and comparison of performance with existing metrics. Empirical verification of SDI with a set of Test Images proves its speckle quantification in ultrasound. A subjective criterion is also taken into account to support the results.</abstract><pub>IEEE</pub><doi>10.1109/MMSP.2008.4665060</doi><tpages>5</tpages></addata></record> |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Degradation Imaging Noise Noise level Noise measurement Speckle Ultrasonic imaging |
| title | SDI: New metric for quantification of speckle noise in ultrasound imaging |
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