Automated Calculation of Infarct Transmurality

Heiberg, Einar (author): Lund University,Lunds universitet,Klinisk fysiologi, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Clinical Physiology (Lund),Section V,Department of Clinical Sciences, Lund,Faculty of Medicine

Engblom, Henrik (author): Lund University,Lunds universitet,Klinisk fysiologi, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Clinical Physiology (Lund),Section V,Department of Clinical Sciences, Lund,Faculty of Medicine

Ugander, Martin (author): Lund University,Lunds universitet,Klinisk fysiologi, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Clinical Physiology (Lund),Section V,Department of Clinical Sciences, Lund,Faculty of Medicine

Arheden, Håkan (author): Lund University,Lunds universitet,Klinisk fysiologi, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Clinical Physiology (Lund),Section V,Department of Clinical Sciences, Lund,Faculty of Medicine

(creator_code:org_t)

2007
2007
English.
In: Computers in Cardiology 2007, vols 1 AND 2. - 0276-6574. ; , s. 165-168

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Abstract Subject headings

The aim of this study was to develop all algorithm to automatically calculate infarct transmurality based oil a non dichotomous infarct classification, and to compare with manual delineation. Global transmurality as calculated by the computer algorithm were significantly smaller than the consensus delineation of three observers (p < 0.05). On a regional basis in 6 sectors of each slice the variability of the three observers compared to consensus delineation was 17%, 15%, and 20%. The variability of the automated algorithm was 16%. In conclusion, weighted calculation of transmurality gave smaller global transmurality compared to consensus delineation, but did had the same variability oil a regional basis.

By the author/editor: Heiberg, Einar; Engblom, Henrik; Ugander, Martin; Arheden, Håkan

About the subject

MEDICAL AND HEALTH SCIENCES: MEDICAL AND HEAL ...; and Clinical Medicin ...; and Respiratory Medi ...

MEDICAL AND HEALTH SCIENCES: MEDICAL AND HEAL ...; and Clinical Medicin ...; and Cardiac and Card ...

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