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An improved segmentation algorithm for quantification of myocardial infarction in contrast enhanced CMR images - validated in ex-vivo studies

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T1-weighted contrast enhanced CMR images of explanted hearts in experimental studies provide a high resolution reference standard for quantification of myocardial infarction... Manual delineation is considered the reference standard, however it is time consuming and observer dependent... Therefore, the aim of this study was to provide a fully automated segmentation algorithm for quantification of myocardial infarction in T1-weighted contrast enhanced high resolution ex-vivo images... The study included 18 explanted hearts from pigs with experimentally induced infarction by occlusion of the left anterior descending artery... Segmentations by the SD-algorithm with manual corrections were used as reference standard... The difference in scar volume was also calculated between the SD algorithm without manual correction and the reference standard for comparison... Differences are presented as mean ± SD in percent of left ventricular mass (LVM)... The difference between the proposed automatic algorithm and the reference standard was -1.3 ± 4.7% of LVM (R= 0.93)... The difference between the SD-algorithm and the reference standard was -6.9 ± 5.2% of LVM (R= 0.89) (Figure 1)... The difference between the proposed algorithm and the reference standard was not statistically significant... However, the difference between the SD-algorithm and the reference standard was significant, p = < 0.01... The proposed automatic segmentation algorithm for quantification of myocardial infarction shows good agreement and low bias with the reference standard... The algorithm show potential for fully automatic quantification of myocardial infarction in high resolution contrast enhanced ex-vivo images.

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Top row show correlations between automatic algorithms and the reference standard. Bottom row show the difference between the algorithms and reference infarct size. Left column shows the proposed algorithm and right column shows the SD-algorithm.
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Figure 1: Top row show correlations between automatic algorithms and the reference standard. Bottom row show the difference between the algorithms and reference infarct size. Left column shows the proposed algorithm and right column shows the SD-algorithm.

Mentions: The difference between the proposed automatic algorithm and the reference standard was -1.3 ± 4.7% of LVM (R2 = 0.93). The difference between the SD-algorithm and the reference standard was -6.9 ± 5.2% of LVM (R2 = 0.89) (Figure 1). Figure 2 shows an example of an infarct segmentation of the two segmentation algorithms and the reference standard. The difference between the proposed algorithm and the reference standard was not statistically significant. However, the difference between the SD-algorithm and the reference standard was significant, p = < 0.01.


An improved segmentation algorithm for quantification of myocardial infarction in contrast enhanced CMR images - validated in ex-vivo studies
Top row show correlations between automatic algorithms and the reference standard. Bottom row show the difference between the algorithms and reference infarct size. Left column shows the proposed algorithm and right column shows the SD-algorithm.
© Copyright Policy - open-access
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4043892&req=5

Figure 1: Top row show correlations between automatic algorithms and the reference standard. Bottom row show the difference between the algorithms and reference infarct size. Left column shows the proposed algorithm and right column shows the SD-algorithm.
Mentions: The difference between the proposed automatic algorithm and the reference standard was -1.3 ± 4.7% of LVM (R2 = 0.93). The difference between the SD-algorithm and the reference standard was -6.9 ± 5.2% of LVM (R2 = 0.89) (Figure 1). Figure 2 shows an example of an infarct segmentation of the two segmentation algorithms and the reference standard. The difference between the proposed algorithm and the reference standard was not statistically significant. However, the difference between the SD-algorithm and the reference standard was significant, p = < 0.01.

View Article: PubMed Central - HTML

AUTOMATICALLY GENERATED EXCERPT
Please rate it.

T1-weighted contrast enhanced CMR images of explanted hearts in experimental studies provide a high resolution reference standard for quantification of myocardial infarction... Manual delineation is considered the reference standard, however it is time consuming and observer dependent... Therefore, the aim of this study was to provide a fully automated segmentation algorithm for quantification of myocardial infarction in T1-weighted contrast enhanced high resolution ex-vivo images... The study included 18 explanted hearts from pigs with experimentally induced infarction by occlusion of the left anterior descending artery... Segmentations by the SD-algorithm with manual corrections were used as reference standard... The difference in scar volume was also calculated between the SD algorithm without manual correction and the reference standard for comparison... Differences are presented as mean ± SD in percent of left ventricular mass (LVM)... The difference between the proposed automatic algorithm and the reference standard was -1.3 ± 4.7% of LVM (R= 0.93)... The difference between the SD-algorithm and the reference standard was -6.9 ± 5.2% of LVM (R= 0.89) (Figure 1)... The difference between the proposed algorithm and the reference standard was not statistically significant... However, the difference between the SD-algorithm and the reference standard was significant, p = < 0.01... The proposed automatic segmentation algorithm for quantification of myocardial infarction shows good agreement and low bias with the reference standard... The algorithm show potential for fully automatic quantification of myocardial infarction in high resolution contrast enhanced ex-vivo images.

No MeSH data available.


Related in: MedlinePlus