pubmed-article:1732358 | rdf:type | pubmed:Citation | lld:pubmed |
pubmed-article:1732358 | lifeskim:mentions | umls-concept:C0031809 | lld:lifeskim |
pubmed-article:1732358 | lifeskim:mentions | umls-concept:C0011923 | lld:lifeskim |
pubmed-article:1732358 | lifeskim:mentions | umls-concept:C0080309 | lld:lifeskim |
pubmed-article:1732358 | lifeskim:mentions | umls-concept:C1511790 | lld:lifeskim |
pubmed-article:1732358 | lifeskim:mentions | umls-concept:C0220934 | lld:lifeskim |
pubmed-article:1732358 | lifeskim:mentions | umls-concept:C0205554 | lld:lifeskim |
pubmed-article:1732358 | pubmed:issue | 2 | lld:pubmed |
pubmed-article:1732358 | pubmed:dateCreated | 1992-2-21 | lld:pubmed |
pubmed-article:1732358 | pubmed:abstractText | To provide an approach suitable for on-line analysis of ventricular function, a conventional two-dimensional ultrasound imaging system was modified to detect and track blood-tissue interfaces in real time based on their quantitative acoustic properties. This modification permitted on-line display of the left ventricular cavity area, fractional area change, volumes and ejection fraction on a beat by beat basis. Images were obtained from 54 patients and 12 normal subjects with broad ranges of ventricular dimensions and systolic function. On-line measurements of cavity areas were compared with off-line measurements of cavity areas (analysis of videotaped conventional images). Left ventricular cavity areas measured on-line from short-axis views correlated closely with off-line views as did areas from apical views. On-line fractional area change correlated well with ejection fraction calculated off-line. More than 70% of patients could be studied adequately with the approach developed. Thus, automatic boundary detection based on quantitative assessment of tissue acoustic properties permits on-line quantitation of ventricular cavity areas and indexes of function. | lld:pubmed |
pubmed-article:1732358 | pubmed:grant | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:1732358 | pubmed:grant | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:1732358 | pubmed:commentsCorrections | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:1732358 | pubmed:language | eng | lld:pubmed |
pubmed-article:1732358 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:1732358 | pubmed:citationSubset | AIM | lld:pubmed |
pubmed-article:1732358 | pubmed:status | MEDLINE | lld:pubmed |
pubmed-article:1732358 | pubmed:month | Feb | lld:pubmed |
pubmed-article:1732358 | pubmed:issn | 0735-1097 | lld:pubmed |
pubmed-article:1732358 | pubmed:author | pubmed-author:MillerJ GJG | lld:pubmed |
pubmed-article:1732358 | pubmed:author | pubmed-author:SobelB EBE | lld:pubmed |
pubmed-article:1732358 | pubmed:author | pubmed-author:WaggonerA DAD | lld:pubmed |
pubmed-article:1732358 | pubmed:author | pubmed-author:BarzilaiBB | lld:pubmed |
pubmed-article:1732358 | pubmed:author | pubmed-author:MeltonH EHEJr | lld:pubmed |
pubmed-article:1732358 | pubmed:author | pubmed-author:PérezJ EJE | lld:pubmed |
pubmed-article:1732358 | pubmed:issnType | Print | lld:pubmed |
pubmed-article:1732358 | pubmed:volume | 19 | lld:pubmed |
pubmed-article:1732358 | pubmed:owner | NLM | lld:pubmed |
pubmed-article:1732358 | pubmed:authorsComplete | Y | lld:pubmed |
pubmed-article:1732358 | pubmed:pagination | 313-20 | lld:pubmed |
pubmed-article:1732358 | pubmed:dateRevised | 2007-11-14 | lld:pubmed |
pubmed-article:1732358 | pubmed:meshHeading | pubmed-meshheading:1732358-... | lld:pubmed |
pubmed-article:1732358 | pubmed:meshHeading | pubmed-meshheading:1732358-... | lld:pubmed |
pubmed-article:1732358 | pubmed:meshHeading | pubmed-meshheading:1732358-... | lld:pubmed |
pubmed-article:1732358 | pubmed:meshHeading | pubmed-meshheading:1732358-... | lld:pubmed |
pubmed-article:1732358 | pubmed:meshHeading | pubmed-meshheading:1732358-... | lld:pubmed |
pubmed-article:1732358 | pubmed:meshHeading | pubmed-meshheading:1732358-... | lld:pubmed |
pubmed-article:1732358 | pubmed:meshHeading | pubmed-meshheading:1732358-... | lld:pubmed |
pubmed-article:1732358 | pubmed:meshHeading | pubmed-meshheading:1732358-... | lld:pubmed |
pubmed-article:1732358 | pubmed:year | 1992 | lld:pubmed |
pubmed-article:1732358 | pubmed:articleTitle | On-line assessment of ventricular function by automatic boundary detection and ultrasonic backscatter imaging. | lld:pubmed |
pubmed-article:1732358 | pubmed:affiliation | Cardiovascular Division, Washington University, St. Louis, Missouri. | lld:pubmed |
pubmed-article:1732358 | pubmed:publicationType | Journal Article | lld:pubmed |
pubmed-article:1732358 | pubmed:publicationType | Comparative Study | lld:pubmed |
pubmed-article:1732358 | pubmed:publicationType | Research Support, U.S. Gov't, P.H.S. | lld:pubmed |
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