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PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Asia/Kolkata
BEGIN:STANDARD
DTSTART:19451014T230000
TZOFFSETFROM:+0630
TZOFFSETTO:+0530
TZNAME:IST
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BEGIN:VEVENT
DTSTAMP:20230721T105420Z
UID:8B44EF5A-5938-4A01-AA88-4061697FEE50
DTSTART;TZID=Asia/Kolkata:20230715T190000
DTEND;TZID=Asia/Kolkata:20230715T200000
DESCRIPTION:Ultrasound is rapidly evolving and can now provide information 
 about tissue structure and stiffness for enabling objective diagnosis. Her
 mite-scan (H-scan) imaging is a new approach for characterizing tissue str
 uctures based on color-mapping of scatterer sizes. In H-scan imaging\, rad
 iofrequency (RF) echoes are matched to Gaussian-weighted Hermite polynomia
 ls of order n\, which are related to the size of scatterers. Furthermore\,
  shear wave viscoelastography exploits the shear wave generated by an ultr
 asound beam and extracts the viscoelastic properties of tissues from the f
 requency dependence of the measured wave velocity. In this talk\, I will d
 emonstrate the feasibility of differentiating glioblastoma tumors from nor
 mal brain tissue ex vivo using H-scan imaging\, with potential application
 s in intraoperative brain tumor imaging. I will also discuss our work on v
 alidating shear wave viscoelastography on viscoelastic tissue-mimicking ph
 antoms.\n\nSpeaker(s): \, Dr. Karla Mercado-Shekhar\n\nVirtual: https://ev
 ents.vtools.ieee.org/m/366813
LOCATION:Virtual: https://events.vtools.ieee.org/m/366813
ORGANIZER:ieee.cs.sbc.iit.kgp@gmail.com
SEQUENCE:12
SUMMARY:Enabling techniques for tissue characterization using ultrasound He
 rmite-scan imaging and shear wave viscoelastography
URL;VALUE=URI:https://events.vtools.ieee.org/m/366813
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;span style=&quot;font-weight: 400\;&quot;&gt;Ultrasoun
 d is rapidly evolving and can now provide information about tissue structu
 re and stiffness for enabling objective diagnosis. Hermite-scan (H-scan) i
 maging is a new approach for characterizing tissue structures based on col
 or-mapping of scatterer sizes. In H-scan imaging\, radiofrequency (RF) ech
 oes are matched to Gaussian-weighted Hermite polynomials of order n\, whic
 h are related to the size of scatterers. Furthermore\, shear wave viscoela
 stography exploits the shear wave generated by an ultrasound beam and extr
 acts the viscoelastic properties of tissues from the frequency dependence 
 of the measured wave velocity. In this talk\, I will demonstrate the feasi
 bility of differentiating glioblastoma tumors from normal brain tissue ex 
 vivo using H-scan imaging\, with potential applications in intraoperative 
 brain tumor imaging. I will also discuss our work on validating shear wave
  viscoelastography on viscoelastic tissue-mimicking phantoms. &lt;/span&gt;&lt;/p&gt;\
 n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;
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