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VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Australia/Brisbane
BEGIN:STANDARD
DTSTART:19920301T020000
TZOFFSETFROM:+1100
TZOFFSETTO:+1000
TZNAME:AEST
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BEGIN:VEVENT
DTSTAMP:20250926T221749Z
UID:BAB354B7-A59C-4F7E-B85A-9514DC0D3F52
DTSTART;TZID=Australia/Brisbane:20250808T110000
DTEND;TZID=Australia/Brisbane:20250808T114500
DESCRIPTION:Microwave tomography faces several challenges in its transition
  toward clinical application. This seminar introduces the approaches to ad
 dress these challenges. Our investigation concluded that reasonable clinic
 al images can be generated when using a calibrated multi-frequency microwa
 ve tomography algorithm\, supported by a proper frequency selection.\n\nTh
 e calibration aims at matching the forward and inverse solvers\, whereas f
 requency selection aligns measurement with simulation.\n\nIn this seminar\
 , we compare the imaging results with the ground truths (MRI and CT)\, cla
 rifying the potential and challenges of clinical microwave tomography.\n\n
 Speaker(s): Dr. Lei Guo\, \n\nRoom: 653\, Bldg: 49 (Advanced Engineering b
 uilding)\, IN-PERSON: The University of Queensland\, Brisbane\, Queensland
 \, Australia\, 4072\, Virtual: https://events.vtools.ieee.org/m/495466
LOCATION:Room: 653\, Bldg: 49 (Advanced Engineering building)\, IN-PERSON: 
 The University of Queensland\, Brisbane\, Queensland\, Australia\, 4072\, 
 Virtual: https://events.vtools.ieee.org/m/495466
ORGANIZER:h.espinosa@griffith.edu.au
SEQUENCE:18
SUMMARY:Microwave tomography for clinical head imaging
URL;VALUE=URI:https://events.vtools.ieee.org/m/495466
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;span style=&quot;font-size: 14pt\;&quot;&gt;&lt;img style
 =&quot;float: right\;&quot; src=&quot;https://events.vtools.ieee.org/vtools_ui/media/disp
 lay/84eeaef2-74c1-495d-905f-bc9261f66324&quot; width=&quot;208&quot; height=&quot;278&quot;&gt;&lt;/span&gt;
 &lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;font-size: 14pt\;&quot;&gt;Microwave tomography faces severa
 l challenges in its transition toward clinical application. This seminar i
 ntroduces the approaches to address these challenges. Our investigation co
 ncluded that reasonable clinical images can be generated when using a cali
 brated multi-frequency microwave tomography algorithm\, supported by a pro
 per frequency selection.&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;font-size: 14pt\;&quot;&gt;Th
 e calibration aims at matching the forward and inverse solvers\, whereas f
 requency selection aligns measurement with simulation.&amp;nbsp\;&lt;/span&gt;&lt;/p&gt;\n
 &lt;p&gt;&lt;span style=&quot;font-size: 14pt\;&quot;&gt;In this seminar\, we compare the imagin
 g results with the ground truths (MRI and CT)\, clarifying the potential a
 nd challenges of clinical microwave tomography.&lt;/span&gt;&lt;/p&gt;
END:VEVENT
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