A microcomputer based automated, quantitative coronary angiographic analysis system
Abstract Rapid and accurate assessment of coronary artery stenotic severity is important in therapy and understanding of coronary artery disease. Since automated systems minimize prejudiceand variations in analysis, we developed an automated, quantitative coronary analysis system utilizing an IBM PC...
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
1988 |
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| Umfang: |
11 |
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| Reproduktion: |
Springer Online Journal Archives 1860-2002 |
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| Übergeordnetes Werk: |
in: Annals of biomedical engineering - 1972, 16(1988) vom: Apr., Seite 367-377 |
| Übergeordnetes Werk: |
volume:16 ; year:1988 ; month:04 ; pages:367-377 ; extent:11 |
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NLEJ198313160 |
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| 520 | |a Abstract Rapid and accurate assessment of coronary artery stenotic severity is important in therapy and understanding of coronary artery disease. Since automated systems minimize prejudiceand variations in analysis, we developed an automated, quantitative coronary analysis system utilizing an IBM PC-XT computer. Film images (35 mm) were cine-to-video converted and subsequently digitized by an IBM PC-XT computer. Given an approximate center line, the computer automatically detected edges, corrected for X-ray magnification, and calculated arterial dimensions. On objects of known dimensional sizes, the correlation coefficient between actual and calculated dimensions was 0.996 (p<0.01) with a standard error of estimate of 0.07 mm and ±3.0% reproducibility. For objects less than 1 mm in diameter, the standard error of estimate was 0.05 mm with ±4.1% reproducibility. However, with minimal contrast material (25%), the standard error of estimate increased to 0.20 mm with ±7.2% reproducibility. The results indicate that automated, quantitative coronary angiography can be achieved using an inexpensive IBM PC-XT based system, provided that the vessels are adequately opacified. | ||
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| 700 | 1 | |a Santamore, William P. |4 oth | |
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| 700 | 1 | |a Kutcher, Michael A. |4 oth | |
| 700 | 1 | |a Negin, Michael |4 oth | |
| 700 | 1 | |a Whiteman, James L. |4 oth | |
| 700 | 1 | |a Kase, Jeffrey P. |4 oth | |
| 700 | 1 | |a Little, William C. |4 oth | |
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(DE-627)NLEJ198313160 DE-627 ger DE-627 rakwb eng A microcomputer based automated, quantitative coronary angiographic analysis system 1988 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Abstract Rapid and accurate assessment of coronary artery stenotic severity is important in therapy and understanding of coronary artery disease. Since automated systems minimize prejudiceand variations in analysis, we developed an automated, quantitative coronary analysis system utilizing an IBM PC-XT computer. Film images (35 mm) were cine-to-video converted and subsequently digitized by an IBM PC-XT computer. Given an approximate center line, the computer automatically detected edges, corrected for X-ray magnification, and calculated arterial dimensions. On objects of known dimensional sizes, the correlation coefficient between actual and calculated dimensions was 0.996 (p<0.01) with a standard error of estimate of 0.07 mm and ±3.0% reproducibility. For objects less than 1 mm in diameter, the standard error of estimate was 0.05 mm with ±4.1% reproducibility. However, with minimal contrast material (25%), the standard error of estimate increased to 0.20 mm with ±7.2% reproducibility. The results indicate that automated, quantitative coronary angiography can be achieved using an inexpensive IBM PC-XT based system, provided that the vessels are adequately opacified. Springer Online Journal Archives 1860-2002 Santamore, William P. oth Kahl, Frederic R. oth Kutcher, Michael A. oth Negin, Michael oth Whiteman, James L. oth Kase, Jeffrey P. oth Little, William C. oth in Annals of biomedical engineering 1972 16(1988) vom: Apr., Seite 367-377 (DE-627)NLEJ188992537 (DE-600)1477155-x 1573-9686 nnns volume:16 year:1988 month:04 pages:367-377 extent:11 http://dx.doi.org/10.1007/BF02364624 GBV_USEFLAG_U ZDB-1-SOJ GBV_NL_ARTICLE AR 16 1988 4 367-377 11 |
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(DE-627)NLEJ198313160 DE-627 ger DE-627 rakwb eng A microcomputer based automated, quantitative coronary angiographic analysis system 1988 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Abstract Rapid and accurate assessment of coronary artery stenotic severity is important in therapy and understanding of coronary artery disease. Since automated systems minimize prejudiceand variations in analysis, we developed an automated, quantitative coronary analysis system utilizing an IBM PC-XT computer. Film images (35 mm) were cine-to-video converted and subsequently digitized by an IBM PC-XT computer. Given an approximate center line, the computer automatically detected edges, corrected for X-ray magnification, and calculated arterial dimensions. On objects of known dimensional sizes, the correlation coefficient between actual and calculated dimensions was 0.996 (p<0.01) with a standard error of estimate of 0.07 mm and ±3.0% reproducibility. For objects less than 1 mm in diameter, the standard error of estimate was 0.05 mm with ±4.1% reproducibility. However, with minimal contrast material (25%), the standard error of estimate increased to 0.20 mm with ±7.2% reproducibility. The results indicate that automated, quantitative coronary angiography can be achieved using an inexpensive IBM PC-XT based system, provided that the vessels are adequately opacified. Springer Online Journal Archives 1860-2002 Santamore, William P. oth Kahl, Frederic R. oth Kutcher, Michael A. oth Negin, Michael oth Whiteman, James L. oth Kase, Jeffrey P. oth Little, William C. oth in Annals of biomedical engineering 1972 16(1988) vom: Apr., Seite 367-377 (DE-627)NLEJ188992537 (DE-600)1477155-x 1573-9686 nnns volume:16 year:1988 month:04 pages:367-377 extent:11 http://dx.doi.org/10.1007/BF02364624 GBV_USEFLAG_U ZDB-1-SOJ GBV_NL_ARTICLE AR 16 1988 4 367-377 11 |
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(DE-627)NLEJ198313160 DE-627 ger DE-627 rakwb eng A microcomputer based automated, quantitative coronary angiographic analysis system 1988 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Abstract Rapid and accurate assessment of coronary artery stenotic severity is important in therapy and understanding of coronary artery disease. Since automated systems minimize prejudiceand variations in analysis, we developed an automated, quantitative coronary analysis system utilizing an IBM PC-XT computer. Film images (35 mm) were cine-to-video converted and subsequently digitized by an IBM PC-XT computer. Given an approximate center line, the computer automatically detected edges, corrected for X-ray magnification, and calculated arterial dimensions. On objects of known dimensional sizes, the correlation coefficient between actual and calculated dimensions was 0.996 (p<0.01) with a standard error of estimate of 0.07 mm and ±3.0% reproducibility. For objects less than 1 mm in diameter, the standard error of estimate was 0.05 mm with ±4.1% reproducibility. However, with minimal contrast material (25%), the standard error of estimate increased to 0.20 mm with ±7.2% reproducibility. The results indicate that automated, quantitative coronary angiography can be achieved using an inexpensive IBM PC-XT based system, provided that the vessels are adequately opacified. Springer Online Journal Archives 1860-2002 Santamore, William P. oth Kahl, Frederic R. oth Kutcher, Michael A. oth Negin, Michael oth Whiteman, James L. oth Kase, Jeffrey P. oth Little, William C. oth in Annals of biomedical engineering 1972 16(1988) vom: Apr., Seite 367-377 (DE-627)NLEJ188992537 (DE-600)1477155-x 1573-9686 nnns volume:16 year:1988 month:04 pages:367-377 extent:11 http://dx.doi.org/10.1007/BF02364624 GBV_USEFLAG_U ZDB-1-SOJ GBV_NL_ARTICLE AR 16 1988 4 367-377 11 |
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(DE-627)NLEJ198313160 DE-627 ger DE-627 rakwb eng A microcomputer based automated, quantitative coronary angiographic analysis system 1988 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Abstract Rapid and accurate assessment of coronary artery stenotic severity is important in therapy and understanding of coronary artery disease. Since automated systems minimize prejudiceand variations in analysis, we developed an automated, quantitative coronary analysis system utilizing an IBM PC-XT computer. Film images (35 mm) were cine-to-video converted and subsequently digitized by an IBM PC-XT computer. Given an approximate center line, the computer automatically detected edges, corrected for X-ray magnification, and calculated arterial dimensions. On objects of known dimensional sizes, the correlation coefficient between actual and calculated dimensions was 0.996 (p<0.01) with a standard error of estimate of 0.07 mm and ±3.0% reproducibility. For objects less than 1 mm in diameter, the standard error of estimate was 0.05 mm with ±4.1% reproducibility. However, with minimal contrast material (25%), the standard error of estimate increased to 0.20 mm with ±7.2% reproducibility. The results indicate that automated, quantitative coronary angiography can be achieved using an inexpensive IBM PC-XT based system, provided that the vessels are adequately opacified. Springer Online Journal Archives 1860-2002 Santamore, William P. oth Kahl, Frederic R. oth Kutcher, Michael A. oth Negin, Michael oth Whiteman, James L. oth Kase, Jeffrey P. oth Little, William C. oth in Annals of biomedical engineering 1972 16(1988) vom: Apr., Seite 367-377 (DE-627)NLEJ188992537 (DE-600)1477155-x 1573-9686 nnns volume:16 year:1988 month:04 pages:367-377 extent:11 http://dx.doi.org/10.1007/BF02364624 GBV_USEFLAG_U ZDB-1-SOJ GBV_NL_ARTICLE AR 16 1988 4 367-377 11 |
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(DE-627)NLEJ198313160 DE-627 ger DE-627 rakwb eng A microcomputer based automated, quantitative coronary angiographic analysis system 1988 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Abstract Rapid and accurate assessment of coronary artery stenotic severity is important in therapy and understanding of coronary artery disease. Since automated systems minimize prejudiceand variations in analysis, we developed an automated, quantitative coronary analysis system utilizing an IBM PC-XT computer. Film images (35 mm) were cine-to-video converted and subsequently digitized by an IBM PC-XT computer. Given an approximate center line, the computer automatically detected edges, corrected for X-ray magnification, and calculated arterial dimensions. On objects of known dimensional sizes, the correlation coefficient between actual and calculated dimensions was 0.996 (p<0.01) with a standard error of estimate of 0.07 mm and ±3.0% reproducibility. For objects less than 1 mm in diameter, the standard error of estimate was 0.05 mm with ±4.1% reproducibility. However, with minimal contrast material (25%), the standard error of estimate increased to 0.20 mm with ±7.2% reproducibility. The results indicate that automated, quantitative coronary angiography can be achieved using an inexpensive IBM PC-XT based system, provided that the vessels are adequately opacified. Springer Online Journal Archives 1860-2002 Santamore, William P. oth Kahl, Frederic R. oth Kutcher, Michael A. oth Negin, Michael oth Whiteman, James L. oth Kase, Jeffrey P. oth Little, William C. oth in Annals of biomedical engineering 1972 16(1988) vom: Apr., Seite 367-377 (DE-627)NLEJ188992537 (DE-600)1477155-x 1573-9686 nnns volume:16 year:1988 month:04 pages:367-377 extent:11 http://dx.doi.org/10.1007/BF02364624 GBV_USEFLAG_U ZDB-1-SOJ GBV_NL_ARTICLE AR 16 1988 4 367-377 11 |
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Abstract Rapid and accurate assessment of coronary artery stenotic severity is important in therapy and understanding of coronary artery disease. Since automated systems minimize prejudiceand variations in analysis, we developed an automated, quantitative coronary analysis system utilizing an IBM PC-XT computer. Film images (35 mm) were cine-to-video converted and subsequently digitized by an IBM PC-XT computer. Given an approximate center line, the computer automatically detected edges, corrected for X-ray magnification, and calculated arterial dimensions. On objects of known dimensional sizes, the correlation coefficient between actual and calculated dimensions was 0.996 (p<0.01) with a standard error of estimate of 0.07 mm and ±3.0% reproducibility. For objects less than 1 mm in diameter, the standard error of estimate was 0.05 mm with ±4.1% reproducibility. However, with minimal contrast material (25%), the standard error of estimate increased to 0.20 mm with ±7.2% reproducibility. The results indicate that automated, quantitative coronary angiography can be achieved using an inexpensive IBM PC-XT based system, provided that the vessels are adequately opacified. |
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Abstract Rapid and accurate assessment of coronary artery stenotic severity is important in therapy and understanding of coronary artery disease. Since automated systems minimize prejudiceand variations in analysis, we developed an automated, quantitative coronary analysis system utilizing an IBM PC-XT computer. Film images (35 mm) were cine-to-video converted and subsequently digitized by an IBM PC-XT computer. Given an approximate center line, the computer automatically detected edges, corrected for X-ray magnification, and calculated arterial dimensions. On objects of known dimensional sizes, the correlation coefficient between actual and calculated dimensions was 0.996 (p<0.01) with a standard error of estimate of 0.07 mm and ±3.0% reproducibility. For objects less than 1 mm in diameter, the standard error of estimate was 0.05 mm with ±4.1% reproducibility. However, with minimal contrast material (25%), the standard error of estimate increased to 0.20 mm with ±7.2% reproducibility. The results indicate that automated, quantitative coronary angiography can be achieved using an inexpensive IBM PC-XT based system, provided that the vessels are adequately opacified. |
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Abstract Rapid and accurate assessment of coronary artery stenotic severity is important in therapy and understanding of coronary artery disease. Since automated systems minimize prejudiceand variations in analysis, we developed an automated, quantitative coronary analysis system utilizing an IBM PC-XT computer. Film images (35 mm) were cine-to-video converted and subsequently digitized by an IBM PC-XT computer. Given an approximate center line, the computer automatically detected edges, corrected for X-ray magnification, and calculated arterial dimensions. On objects of known dimensional sizes, the correlation coefficient between actual and calculated dimensions was 0.996 (p<0.01) with a standard error of estimate of 0.07 mm and ±3.0% reproducibility. For objects less than 1 mm in diameter, the standard error of estimate was 0.05 mm with ±4.1% reproducibility. However, with minimal contrast material (25%), the standard error of estimate increased to 0.20 mm with ±7.2% reproducibility. The results indicate that automated, quantitative coronary angiography can be achieved using an inexpensive IBM PC-XT based system, provided that the vessels are adequately opacified. |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">NLEJ198313160</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230505195925.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">070527s1988 xx |||||o 00| ||eng c</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)NLEJ198313160</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">A microcomputer based automated, quantitative coronary angiographic analysis system</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">1988</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">11</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Rapid and accurate assessment of coronary artery stenotic severity is important in therapy and understanding of coronary artery disease. Since automated systems minimize prejudiceand variations in analysis, we developed an automated, quantitative coronary analysis system utilizing an IBM PC-XT computer. Film images (35 mm) were cine-to-video converted and subsequently digitized by an IBM PC-XT computer. Given an approximate center line, the computer automatically detected edges, corrected for X-ray magnification, and calculated arterial dimensions. On objects of known dimensional sizes, the correlation coefficient between actual and calculated dimensions was 0.996 (p<0.01) with a standard error of estimate of 0.07 mm and ±3.0% reproducibility. For objects less than 1 mm in diameter, the standard error of estimate was 0.05 mm with ±4.1% reproducibility. However, with minimal contrast material (25%), the standard error of estimate increased to 0.20 mm with ±7.2% reproducibility. The results indicate that automated, quantitative coronary angiography can be achieved using an inexpensive IBM PC-XT based system, provided that the vessels are adequately opacified.</subfield></datafield><datafield tag="533" ind1=" " ind2=" "><subfield code="f">Springer Online Journal Archives 1860-2002</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Santamore, William P.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kahl, Frederic R.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kutcher, Michael A.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Negin, Michael</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Whiteman, James L.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kase, Jeffrey P.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Little, William C.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">in</subfield><subfield code="t">Annals of biomedical engineering</subfield><subfield code="d">1972</subfield><subfield code="g">16(1988) vom: Apr., Seite 367-377</subfield><subfield code="w">(DE-627)NLEJ188992537</subfield><subfield code="w">(DE-600)1477155-x</subfield><subfield code="x">1573-9686</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:16</subfield><subfield code="g">year:1988</subfield><subfield code="g">month:04</subfield><subfield code="g">pages:367-377</subfield><subfield code="g">extent:11</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://dx.doi.org/10.1007/BF02364624</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-1-SOJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_NL_ARTICLE</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">16</subfield><subfield code="j">1988</subfield><subfield code="c">4</subfield><subfield code="h">367-377</subfield><subfield code="g">11</subfield></datafield></record></collection>
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