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Automated registration of dynamic contrast enhanced DCE-MRI cardiac perfusion achieves comparable diagnostic accuracy to manual motion correction: a CE-MARC sub-study

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The human interaction required for manual motion correction/contouring of cardiac perfusion series remains a significant obstacle to quantitative perfusion gaining a wider acceptance in clinical practice... The aim of this study is to evaluate perfusion series registration in terms of its affect on the diagnostic accuracy of myocardial ischaemia... Signal vs. time curves were generated for the manual and automatic motion-correction methods... The resulting time varying signal curves were used to generate quantitative myocardial blood flow (MBF) estimates using Fermi constrained deconvolution... Receiver Operator Characteristic (ROC) curves were generated using the MPR indices... A DeLong, DeLong, Clarke-Pearson comparison was used to test for statistically significant differences in the area under the curve (AUC) values between the registered and manually corrected ROC curves... There were no significant differences in diagnostic accuracy between the manual and automatic motion-corrected datasets (p = 0.88)... The AUCs for manual motion correction and automatic motion correction were 0.93 and 0.92 respectively (Figure 2)... We have shown that automated motion correction provides diagnostic accuracy equivalent to the common protocol of manual motion correction... Automated motion correction offers a significant time reduction in the human interaction required for delineation of contours for quantitative perfusion analysis, and therefore opens the way for a more widespread use of this technique in research and clinical practice.

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ROC curves generated for manual and automatic motion correction.
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Figure 2: ROC curves generated for manual and automatic motion correction.

Mentions: There were no significant differences in diagnostic accuracy between the manual and automatic motion-corrected datasets (p = 0.88). The AUCs for manual motion correction and automatic motion correction were 0.93 and 0.92 respectively (Figure 2).


Automated registration of dynamic contrast enhanced DCE-MRI cardiac perfusion achieves comparable diagnostic accuracy to manual motion correction: a CE-MARC sub-study
ROC curves generated for manual and automatic motion correction.
© Copyright Policy - open-access
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4042501&req=5

Figure 2: ROC curves generated for manual and automatic motion correction.
Mentions: There were no significant differences in diagnostic accuracy between the manual and automatic motion-corrected datasets (p = 0.88). The AUCs for manual motion correction and automatic motion correction were 0.93 and 0.92 respectively (Figure 2).

View Article: PubMed Central - HTML

AUTOMATICALLY GENERATED EXCERPT
Please rate it.

The human interaction required for manual motion correction/contouring of cardiac perfusion series remains a significant obstacle to quantitative perfusion gaining a wider acceptance in clinical practice... The aim of this study is to evaluate perfusion series registration in terms of its affect on the diagnostic accuracy of myocardial ischaemia... Signal vs. time curves were generated for the manual and automatic motion-correction methods... The resulting time varying signal curves were used to generate quantitative myocardial blood flow (MBF) estimates using Fermi constrained deconvolution... Receiver Operator Characteristic (ROC) curves were generated using the MPR indices... A DeLong, DeLong, Clarke-Pearson comparison was used to test for statistically significant differences in the area under the curve (AUC) values between the registered and manually corrected ROC curves... There were no significant differences in diagnostic accuracy between the manual and automatic motion-corrected datasets (p = 0.88)... The AUCs for manual motion correction and automatic motion correction were 0.93 and 0.92 respectively (Figure 2)... We have shown that automated motion correction provides diagnostic accuracy equivalent to the common protocol of manual motion correction... Automated motion correction offers a significant time reduction in the human interaction required for delineation of contours for quantitative perfusion analysis, and therefore opens the way for a more widespread use of this technique in research and clinical practice.

No MeSH data available.