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DTSTAMP:20230416T224356Z
UID:FB4611B1-BCCD-4A91-9597-AC9EF95F28E2
DTSTART;TZID=America/New_York:20230412T130000
DTEND;TZID=America/New_York:20230412T141500
DESCRIPTION:Medical imaging has benefited tremendously from the recent surg
 e in data-driven approaches to image formation and analysis. Ultrasound an
 d photoacoustic imaging are two related medical imaging modalities that tr
 ansmit sound and light\, respectively\, into the body and measure signals 
 representing the acoustic response from tissue. Images are created from th
 ese acoustic signals through the beamforming process. In this talk\, I wil
 l highlight three applications leveraging data-driven methods to improve m
 edical decisions and expand the availability of advanced algorithms into t
 he clinic including: (1) coherence-based beamforming and its impact on bre
 ast imaging\, (2) the development of a deep neural network architecture\, 
 named CohereNet\, to improve the speed and availability of coherence-based
  beamforming\, and (3) a novel auditory photoacoustic-based surgical guida
 nce system for hysterectomy procedures. Together these applications demons
 trate an important future for data-driven methods in ultrasound and photoa
 coustic imaging.\n\nSpeaker(s): Dr. Alycen Wiacek\n\nBldg: College of Engi
 neering\, 5050 Anthony Wayne Dr.\, DETROIT\, Michigan\, United States\, 48
 202\, Virtual: https://events.vtools.ieee.org/m/356188
LOCATION:Bldg: College of Engineering\, 5050 Anthony Wayne Dr.\, DETROIT\, 
 Michigan\, United States\, 48202\, Virtual: https://events.vtools.ieee.org
 /m/356188
ORGANIZER:gozde@wayne.edu
SEQUENCE:3
SUMMARY:WIE Technical Seminar at Wayne State: Data-driven Ultrasound and Ph
 otoacoustic Imaging for Medical Decision Making
URL;VALUE=URI:https://events.vtools.ieee.org/m/356188
X-ALT-DESC:Description: <br /><p>Medical imaging has benefited tremendously
  from the recent surge in data-driven approaches to image formation and an
 alysis. Ultrasound and photoacoustic imaging are two related medical imagi
 ng modalities that transmit sound and light\, respectively\, into the body
  and measure signals representing the acoustic response from tissue. Image
 s are created from these acoustic signals through the beamforming process.
  In this talk\, I will highlight three applications leveraging data-driven
  methods to improve medical decisions and expand the availability of advan
 ced algorithms into the clinic including: (1) coherence-based beamforming 
 and its impact on breast imaging\, (2) the development of a deep neural ne
 twork architecture\, named CohereNet\, to improve the speed and availabili
 ty of coherence-based beamforming\, and (3) a novel auditory photoacoustic
 -based surgical guidance system for hysterectomy procedures. Together thes
 e applications demonstrate an important future for data-driven methods in 
 ultrasound and photoacoustic imaging.&nbsp\;</p>
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