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Techn. Fakultät Willkommen am Institut für Informatik FAU-Logo

Bharath Navalpakkam

Alumnus of the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-Nürnberg

provide creative solutions to enhance the diagnostic value of medical images
Attenuation Correction for Hybrid Imaging Systems
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Recent advances in Multimodality Imaging have shown that&nbsp; a PET/MR integration is feasible. This fusion capability now makes it now possible to image the functional metabolism (PET) in conjunction with soft tissue contrast (MRI). However, the attenation correction for PET images still remains a problem at large. Existing approaches to tackle this issue relies on using the CT anatomical information and registering it in a non rigid manner onto the MRI data sets inorder to generate linear attenuation maps. Another approach is to assign approximate attenuation coefficients to MR brain images using a segmentation procedure. The problem though is that MRI conventional sequences fail to image the cortical bone which in turn results in a misclassification of the bone as air, both possessing different attenuation coefficients (air: 0 cm<sup>-1</sup>, bone: 0.151 cm<sup>-1</sup>). This aim of this project is the following:&nbsp;
<div class="indent"><article><div><ul><li><p> Generation of MR based Attenuation Maps</p></li><li><p>Evaluation of their efficacy towards PET quantification with patient CT as the reference</p><p></p><p></p><p></p><div class="indent"><div class="indent"><div class="indent"><p></p></div></div></div></li></ul></div></article>
<div class="indent"><div class="indent"><div class="indent"><div class="indent"><div class="indent"><img src="fileadmin/Persons/NavalpakkamBharath/CT_skull.gif" style="cursor: move; " height="166" width="166" alt="" /><img src="fileadmin/Persons/NavalpakkamBharath/PseudoCT_skull.gif" style="cursor: move; " height="166" width="166" alt="" /><b>&nbsp;</b></div></div></div></div>
<div class="indent"><div class="indent"><div class="indent"><div class="indent"><b>&nbsp;&nbsp; &nbsp; Patient CT &nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp; &nbsp;&nbsp;&nbsp;MR-predicted CT</b>
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<div><blockquote><div><sub>[1] <link http://www5.cs.fau.de/?id=1505 - - "Opens internal link in current window">Navalpakkam K</link>, Braun H, Ziegler S, Quick H, <link http://www5.cs.fau.de/en/our-team/hornegger-joachim - external-link-new-window "Opens external link in new window"><img alt="Opens external link in new window" src="typo3/sysext/rtehtmlarea/res/accessibilityicons/img/external_link_new_window.gif" />Hornegger J</link>, Kuwert T,&quot;<b>Simultaneous PET/MR Hybrid Imaging: MR based continuous valued attenuation map generation and its effect on quantitative PET imaging</b>&quot;, ISMRM 2012, Melbourne, Australia.</sub></div></blockquote></div>