Statistics of ultrasonic spectral parameters for prostate and liver examinations
A theoretical analysis was performed to describe statistical characteristics of calibrated spectral parameters used for ultrasonic tissue evaluation in the prostate and liver. The analysis assumes that radiofrequency (rf) echo signals exhibit Gaussian statistics. It derives the probability density f...
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| Veröffentlicht in: | IEEE transactions on ultrasonics, ferroelectrics, and frequency control ferroelectrics, and frequency control, 1997-07, Vol.44 (4), p.935-942 |
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| container_end_page | 942 |
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| container_issue | 4 |
| container_start_page | 935 |
| container_title | IEEE transactions on ultrasonics, ferroelectrics, and frequency control |
| container_volume | 44 |
| creator | Lizzi, F.L. Feleppa, E.J. Astor, M. Kalisz, A. |
| description | A theoretical analysis was performed to describe statistical characteristics of calibrated spectral parameters used for ultrasonic tissue evaluation in the prostate and liver. The analysis assumes that radiofrequency (rf) echo signals exhibit Gaussian statistics. It derives the probability density function (pdf) of spectral parameters that are computed using sliding-window analysis techniques. The analysis relates the standard deviations of linear-regression spectral-parameter estimates to system and analysis parameters including bandwidth, center frequency, and the length of the sliding analysis window. The analysis also derives the pdf for mid-band fit parameter images. Theoretical results are found to agree well with clinical data from homogeneous segments in liver and prostate. The results offer a basis for evaluating spectral-estimator precision and for conducting future studies of lesion detectability based on spectral features. |
| doi_str_mv | 10.1109/58.655209 |
| format | Article |
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The analysis assumes that radiofrequency (rf) echo signals exhibit Gaussian statistics. It derives the probability density function (pdf) of spectral parameters that are computed using sliding-window analysis techniques. The analysis relates the standard deviations of linear-regression spectral-parameter estimates to system and analysis parameters including bandwidth, center frequency, and the length of the sliding analysis window. The analysis also derives the pdf for mid-band fit parameter images. Theoretical results are found to agree well with clinical data from homogeneous segments in liver and prostate. 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The analysis assumes that radiofrequency (rf) echo signals exhibit Gaussian statistics. It derives the probability density function (pdf) of spectral parameters that are computed using sliding-window analysis techniques. The analysis relates the standard deviations of linear-regression spectral-parameter estimates to system and analysis parameters including bandwidth, center frequency, and the length of the sliding analysis window. The analysis also derives the pdf for mid-band fit parameter images. Theoretical results are found to agree well with clinical data from homogeneous segments in liver and prostate. The results offer a basis for evaluating spectral-estimator precision and for conducting future studies of lesion detectability based on spectral features.</description><subject>Acoustic signal processing</subject><subject>Acoustics</subject><subject>Biological and medical sciences</subject><subject>Digestive system. Abdomen</subject><subject>Exact sciences and technology</subject><subject>Frequency estimation</subject><subject>Fundamental areas of phenomenology (including applications)</subject><subject>Investigative techniques, diagnostic techniques (general aspects)</subject><subject>Liver</subject><subject>Medical sciences</subject><subject>Performance analysis</subject><subject>Performance evaluation</subject><subject>Physics</subject><subject>Probability density function</subject><subject>Radio frequency</subject><subject>RF signals</subject><subject>Signal analysis</subject><subject>Statistical analysis</subject><subject>Statistics</subject><subject>Ultrasonic investigative techniques</subject><issn>0885-3010</issn><issn>1525-8955</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1997</creationdate><recordtype>article</recordtype><recordid>eNo9kMtKBDEQRYMoOI4u3LrKQgQXPead7qWILxhQUNdNdTqBSL9M9Yj-vZEZZlUUde6huIScc7binFU3ulwZrQWrDsiCa6GLstL6kCxYWepCMs6OyQniJ2NcqUosyOvbDHPEOTqkY6Cbbk6A4xAdxcm7vHR0ggS9n31CGsZEpzRizngKQ0u7-O0T9T_QxyF7xgFPyVGADv3Zbi7Jx8P9-91TsX55fL67XRdOWjEXvGlBNGCstK0PyqmWS8PBuYYpq4WwVrXSKlBSKqOscEaJxlkDIXimdCWX5Grrzf98bTzOdR_R-a6DwY8brEVpeMm0yuD1FnT5cUw-1FOKPaTfmrP6v7Nal_W2s8xe7qSADrqQYHAR9wFhldTMZOxii0Xv_f66c_wBOPx0NQ</recordid><startdate>19970701</startdate><enddate>19970701</enddate><creator>Lizzi, F.L.</creator><creator>Feleppa, E.J.</creator><creator>Astor, M.</creator><creator>Kalisz, A.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope></search><sort><creationdate>19970701</creationdate><title>Statistics of ultrasonic spectral parameters for prostate and liver examinations</title><author>Lizzi, F.L. ; Feleppa, E.J. ; Astor, M. ; Kalisz, A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c372t-1bda2ba6737def4c4d1361accb047522774d374a43346472c642bc76affe04593</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1997</creationdate><topic>Acoustic signal processing</topic><topic>Acoustics</topic><topic>Biological and medical sciences</topic><topic>Digestive system. Abdomen</topic><topic>Exact sciences and technology</topic><topic>Frequency estimation</topic><topic>Fundamental areas of phenomenology (including applications)</topic><topic>Investigative techniques, diagnostic techniques (general aspects)</topic><topic>Liver</topic><topic>Medical sciences</topic><topic>Performance analysis</topic><topic>Performance evaluation</topic><topic>Physics</topic><topic>Probability density function</topic><topic>Radio frequency</topic><topic>RF signals</topic><topic>Signal analysis</topic><topic>Statistical analysis</topic><topic>Statistics</topic><topic>Ultrasonic investigative techniques</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lizzi, F.L.</creatorcontrib><creatorcontrib>Feleppa, E.J.</creatorcontrib><creatorcontrib>Astor, M.</creatorcontrib><creatorcontrib>Kalisz, A.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE transactions on ultrasonics, ferroelectrics, and frequency control</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Lizzi, F.L.</au><au>Feleppa, E.J.</au><au>Astor, M.</au><au>Kalisz, A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Statistics of ultrasonic spectral parameters for prostate and liver examinations</atitle><jtitle>IEEE transactions on ultrasonics, ferroelectrics, and frequency control</jtitle><stitle>T-UFFC</stitle><date>1997-07-01</date><risdate>1997</risdate><volume>44</volume><issue>4</issue><spage>935</spage><epage>942</epage><pages>935-942</pages><issn>0885-3010</issn><eissn>1525-8955</eissn><coden>ITUCER</coden><abstract>A theoretical analysis was performed to describe statistical characteristics of calibrated spectral parameters used for ultrasonic tissue evaluation in the prostate and liver. The analysis assumes that radiofrequency (rf) echo signals exhibit Gaussian statistics. It derives the probability density function (pdf) of spectral parameters that are computed using sliding-window analysis techniques. The analysis relates the standard deviations of linear-regression spectral-parameter estimates to system and analysis parameters including bandwidth, center frequency, and the length of the sliding analysis window. The analysis also derives the pdf for mid-band fit parameter images. Theoretical results are found to agree well with clinical data from homogeneous segments in liver and prostate. The results offer a basis for evaluating spectral-estimator precision and for conducting future studies of lesion detectability based on spectral features.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/58.655209</doi><tpages>8</tpages></addata></record> |
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| ispartof | IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 1997-07, Vol.44 (4), p.935-942 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Acoustic signal processing Acoustics Biological and medical sciences Digestive system. Abdomen Exact sciences and technology Frequency estimation Fundamental areas of phenomenology (including applications) Investigative techniques, diagnostic techniques (general aspects) Liver Medical sciences Performance analysis Performance evaluation Physics Probability density function Radio frequency RF signals Signal analysis Statistical analysis Statistics Ultrasonic investigative techniques |
| title | Statistics of ultrasonic spectral parameters for prostate and liver examinations |
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