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DTSTART:20230312T030000
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DTSTAMP:20230221T014649Z
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DTSTART;TZID=America/Chicago:20230220T181500
DTEND;TZID=America/Chicago:20230220T194500
DESCRIPTION:This talk will examine a specific application of AI in medical 
 image processing. Magnetic resonance elastography is the process of captur
 ing wave propagation through soft tissue using an MRI scan\, and then calc
 ulating the stiffness of tissue from the captured wave images. This calcul
 ation has no fully inclusive mathematical solution. AI have presented a no
 vel method for estimating tissue stiffness from captured wave images. This
  talk will be broken into 2 parts\, background followed by a google colab 
 demo\, so please bring a laptop if you wish to run the code yourself.\n\nS
 peaker(s): Jonathan Trevathan\, \n\nRoom: Mann Hall\, Bldg: Medical Scienc
 es Building\, 300 3rd Ave SW\, Rochester\, Minnesota\, United States\, 559
 02
LOCATION:Room: Mann Hall\, Bldg: Medical Sciences Building\, 300 3rd Ave SW
 \, Rochester\, Minnesota\, United States\, 55902
ORGANIZER:pramanik.leena@ieee.org
SEQUENCE:1
SUMMARY:FEBRUARY TALK: AIs (Neural Networks) for processing medical imaging
  data\, specifically magnetic resonance elastography data
URL;VALUE=URI:https://events.vtools.ieee.org/m/348952
X-ALT-DESC:Description: <br /><p>This talk will examine a specific applicat
 ion of AI in medical image processing. Magnetic resonance elastography is 
 the process of capturing wave propagation through soft tissue using an MRI
  scan\, and then calculating the stiffness of tissue from the captured wav
 e images. This calculation has no fully inclusive mathematical solution. A
 I have presented a novel method for estimating tissue stiffness from captu
 red wave images. <strong><em>This talk will be broken into 2 parts\, backg
 round followed by a google colab demo\, so please bring a laptop if you wi
 sh to run the code yourself.</em></strong></p>
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