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<p class="Default"><o:p> </o:p></p>
<p class="Default"><b><span style="font-size:36.0pt">SEMINAR </span></b><b><span style="font-size:14.0pt">Hale P�nar Zenging�n�l, Ph.D.
</span></b><span style="font-size:14.0pt"><o:p></o:p></span></p>
<p class="Default"><b><span style="font-size:18.0pt">MRI DIFFUSION MODELING: WHAT IS NEXT?
</span></b><span style="font-size:18.0pt"><o:p></o:p></span></p>
<p class="Default"><b><span style="font-size:18.0pt">Thursday, September 8, 2016 3:30-4:30 pm Grosvenor West 111
<o:p></o:p></span></b></p>
<p class="Default"><span style="font-size:18.0pt"><o:p> </o:p></span></p>
<p class="Default"><b><span style="font-size:11.0pt">ABSTRACT <o:p></o:p></span></b></p>
<p class="Default"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="Default"><span style="font-size:11.0pt">The future of medical imaging will be about interpreting the imaging modalities correctly and connecting the dots between the physical biological world and the data we have.
<o:p></o:p></span></p>
<p class="Default"><span style="font-size:11.0pt">The talk will be about novel approaches to Magnetic Resonance Diffusion Imaging modeling. Magnetic Resonance (MR) diffusion is a technic based on measuring the random Brown movement of the water molecules within
the tissue. The relationship between the histology and diffusion is complex, but, usually thick and restrictive tissues or cells that swell absorbing water have low diffusion coefficients. Diffusion coefficient is the measure of this mobility on a molecular
level. In tissues, water molecules’ diffusion is limited by structures within and between the cells, and is called limited diffusion. This specific feature is used to characterize the tissue as molecules in tumor are bounded by the tumor structure.
<o:p></o:p></span></p>
<p class="Default"><span style="font-size:11.0pt">Mono-exponential model is actively used in diagnosis, treatment and follow-up in multiparametric MR packages. However in recent years this specific model is observed to be inadequate. In this presentation, three
other models are presented to describe the behavior of the diffusion curve. The three, bi-exponential, stretched-exponential and kurtosis models are used to study the liver cancer scans, specifically hepatocellular carcinoma, HCC images of patients. It is
clear that a more thorough analysis is needed to find a reliable model different than the conventional mono-exponential standard
<o:p></o:p></span></p>
<p class="Default"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="Default"><b><span style="font-size:11.0pt">Biography <o:p></o:p></span></b></p>
<p class="Default"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="Default"><span style="font-size:11.0pt">Dr. Zengingonul holds an M.S. in Electrical Engineering from the University of Notre Dame and a Ph.D. in Electrical Engineering from the University of Illinois at Urbana-Champaign. Following her graduation from
the University of Illinois, she moved to Boston where she joined Harvard Medical School as a NIH Research Fellow to study MRI and MRI Diffusion Techniques. Between 2000 and 2010 she worked in the private sector as an engineer, team lead and manager. In 2011,
she joined Nam�k Kemal University Biomedical Engineering Department as an Assistant Professor. In summer of 2014, she was a visiting researcher at Mount Sinai hospital of New York City, New York. She currently conducts a joint research program with Florence
Nightingale Hospital in Istanbul, Turkey. <o:p></o:p></span></p>
<p class="Default"><span style="color:windowtext"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:8.0pt">School of Electrical Engineering and Computer Science, Stocker 329,
<span style="color:blue">www.ohio.edu/engineering/eecs/</span></span><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
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<p class="Default"><o:p> </o:p></p>
<p class="Default"><b><span style="font-size:36.0pt">SEMINAR </span></b><b><span style="font-size:14.0pt">Hale P�nar Zenging�n�l, Ph.D.
</span></b><span style="font-size:14.0pt"><o:p></o:p></span></p>
<p class="Default"><b><span style="font-size:18.0pt">MRI DIFFUSION MODELING: WHAT IS NEXT?
</span></b><span style="font-size:18.0pt"><o:p></o:p></span></p>
<p class="Default"><b><span style="font-size:18.0pt">Thursday, September 8, 2016 3:30-4:30 pm Grosvenor West 111
<o:p></o:p></span></b></p>
<p class="Default"><span style="font-size:18.0pt"><o:p> </o:p></span></p>
<p class="Default"><b><span style="font-size:11.0pt">ABSTRACT <o:p></o:p></span></b></p>
<p class="Default"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="Default"><span style="font-size:11.0pt">The future of medical imaging will be about interpreting the imaging modalities correctly and connecting the dots between the physical biological world and the data we have.
<o:p></o:p></span></p>
<p class="Default"><span style="font-size:11.0pt">The talk will be about novel approaches to Magnetic Resonance Diffusion Imaging modeling. Magnetic Resonance (MR) diffusion is a technic based on measuring the random Brown movement of the water molecules within
the tissue. The relationship between the histology and diffusion is complex, but, usually thick and restrictive tissues or cells that swell absorbing water have low diffusion coefficients. Diffusion coefficient is the measure of this mobility on a molecular
level. In tissues, water molecules’ diffusion is limited by structures within and between the cells, and is called limited diffusion. This specific feature is used to characterize the tissue as molecules in tumor are bounded by the tumor structure.
<o:p></o:p></span></p>
<p class="Default"><span style="font-size:11.0pt">Mono-exponential model is actively used in diagnosis, treatment and follow-up in multiparametric MR packages. However in recent years this specific model is observed to be inadequate. In this presentation, three
other models are presented to describe the behavior of the diffusion curve. The three, bi-exponential, stretched-exponential and kurtosis models are used to study the liver cancer scans, specifically hepatocellular carcinoma, HCC images of patients. It is
clear that a more thorough analysis is needed to find a reliable model different than the conventional mono-exponential standard
<o:p></o:p></span></p>
<p class="Default"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="Default"><b><span style="font-size:11.0pt">Biography <o:p></o:p></span></b></p>
<p class="Default"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="Default"><span style="font-size:11.0pt">Dr. Zengingonul holds an M.S. in Electrical Engineering from the University of Notre Dame and a Ph.D. in Electrical Engineering from the University of Illinois at Urbana-Champaign. Following her graduation from
the University of Illinois, she moved to Boston where she joined Harvard Medical School as a NIH Research Fellow to study MRI and MRI Diffusion Techniques. Between 2000 and 2010 she worked in the private sector as an engineer, team lead and manager. In 2011,
she joined Nam�k Kemal University Biomedical Engineering Department as an Assistant Professor. In summer of 2014, she was a visiting researcher at Mount Sinai hospital of New York City, New York. She currently conducts a joint research program with Florence
Nightingale Hospital in Istanbul, Turkey. <o:p></o:p></span></p>
<p class="Default"><span style="color:windowtext"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:8.0pt">School of Electrical Engineering and Computer Science, Stocker 329,
<span style="color:blue">www.ohio.edu/engineering/eecs/</span></span><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
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