The deformation parameter is plotted against the systolic image numbers, which are directly proportional to the acquisition time in the systolic phase

The curves in the graph exhibits a nonlinear behavior.<p><b>Copyright information:</b></p><p>Taken from "A model-based time-reversal of left ventricular motion improves cardiac motion analysis using tagged MRI data"</p><p>http://www.biomedical-engineering-online.com/content/7/1/15</p><p>BioMedical Engineering OnLine 2008;7():15-15.</p><p>Published online 19 May 2008</p><p>PMCID:PMC2435113.</p><p></p

Applying time-reversal to yields a time reversed image (c) with LV wall tissues almost restored to its initial positions in

<p><b>Copyright information:</b></p><p>Taken from "A model-based time-reversal of left ventricular motion improves cardiac motion analysis using tagged MRI data"</p><p>http://www.biomedical-engineering-online.com/content/7/1/15</p><p>BioMedical Engineering OnLine 2008;7():15-15.</p><p>Published online 19 May 2008</p><p>PMCID:PMC2435113.</p><p></p

Displacement vectors (red lines) start from the selected points (blue dots) and project to the end points (green dots)

Please see the text for the detailed explanation of the figure.<p><b>Copyright information:</b></p><p>Taken from "A model-based time-reversal of left ventricular motion improves cardiac motion analysis using tagged MRI data"</p><p>http://www.biomedical-engineering-online.com/content/7/1/15</p><p>BioMedical Engineering OnLine 2008;7():15-15.</p><p>Published online 19 May 2008</p><p>PMCID:PMC2435113.</p><p></p

Thus magnitude of motion is considerably reduced between TR and Ithereby yielding a phase-wrap free HARP motion map

A mask is superimposed on the image frames to indicate the ROI.<p><b>Copyright information:</b></p><p>Taken from "A model-based time-reversal of left ventricular motion improves cardiac motion analysis using tagged MRI data"</p><p>http://www.biomedical-engineering-online.com/content/7/1/15</p><p>BioMedical Engineering OnLine 2008;7():15-15.</p><p>Published online 19 May 2008</p><p>PMCID:PMC2435113.</p><p></p

The operation () yields the deformed image in figure b, where the shape and size of the tag cells depict regional variations in motion

Similarly, a donut-shaped disk in figure c is used as a simple model of the left ventricle. Figure d shows the resulting deformed disk.<p><b>Copyright information:</b></p><p>Taken from "A model-based time-reversal of left ventricular motion improves cardiac motion analysis using tagged MRI data"</p><p>http://www.biomedical-engineering-online.com/content/7/1/15</p><p>BioMedical Engineering OnLine 2008;7():15-15.</p><p>Published online 19 May 2008</p><p>PMCID:PMC2435113.</p><p></p

Superimposed is a grid (red) that was deformed offline using the Gaussian transformation applied on the image 1 according to the algorithm in Fig

4. The grid (red) mimics the deformed tag lines in the underlying myocardial tissue. The estimated optimal values are respectively 12, 16, 19 and 20.<p><b>Copyright information:</b></p><p>Taken from "A model-based time-reversal of left ventricular motion improves cardiac motion analysis using tagged MRI data"</p><p>http://www.biomedical-engineering-online.com/content/7/1/15</p><p>BioMedical Engineering OnLine 2008;7():15-15.</p><p>Published online 19 May 2008</p><p>PMCID:PMC2435113.</p><p></p

The simulated images were obtained offline using the operation on the real tagged image 1 with the optimal values 12, 16, 19 and 20, as in Fig

6. The goodness of fit between the real and simulated images were quantified using correlation coefficient. The coefficients were computed after masking out the LV wall on the images. The results were respectively 0.90, 0.94, 0.97 and 0.98, indicating high level of match between the intensity patterns within the LV wall between the pairs.<p><b>Copyright information:</b></p><p>Taken from "A model-based time-reversal of left ventricular motion improves cardiac motion analysis using tagged MRI data"</p><p>http://www.biomedical-engineering-online.com/content/7/1/15</p><p>BioMedical Engineering OnLine 2008;7():15-15.</p><p>Published online 19 May 2008</p><p>PMCID:PMC2435113.</p><p></p

Levels of cardiac injury parameters as measured from the bloods collected from all experimental groups (each with n = 8).

<p>Panels show graphs for the markers TroponinI and S100A1. Multi group Kruskal Wallis test yielded <i>P</i> = 0.0280 and 0.0354, respectively. * indicates statistically significant difference against the control group C (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0145418#pone.0145418.t001" target="_blank">Table 1</a>).</p

Oxidative stress parameters as measured from the cardiac tissues extracted from the animals in all experimental groups (each with n = 8).

<p>Panels show graphs for the biochemical markers Malonyldialdehyde (MDA); Superoxide dismutase (SOD); Catalase (CAT); Glutathione (GSH). Multi group Kruskal Wallis test yielded <i>P</i> = 0.0003, 0.0003, 0.0002 and 0.0005, respectively. * indicates statistically significant difference against the control group C (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0145418#pone.0145418.t001" target="_blank">Table 1</a>).</p