BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
X-WR-CALNAME:Imaging Science & Engineering Seminar | Abhinav K. Jha
X-WR-TIMEZONE:Central Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20260721T173057Z
UID:tag:localist.com\,2008:EventInstance_50789381295059
DTSTART:20251010T133000Z
DTEND:20251010T143000Z
DESCRIPTION:Integrating Physics and Deep Learning for CTLESS SPECT: From Th
 eory to Clinical Validation\n\nAbstract: Single-photon emission computed t
 omography (SPECT) is a widely used clinical imaging modality but typically
  requires an additional X-ray CT scan for attenuation compensation. This d
 ependence introduces several drawbacks\, including increased radiation dos
 e\, higher costs\, potential sources of inaccuracy\, and\, importantly\, l
 imited access to the necessary hybrid SPECT/CT imaging systems. In this ta
 lk\, I will describe how merging concepts from information theory\, physic
 s\, and deep learning enabled us to develop a solution for performing atte
 nuation compensation directly from SPECT measurements and without the need
  for an additional CT scan. The presentation will trace the evolution of t
 his approach: beginning with its theoretical foundations\, moving through 
 the development and implementation of the method\, and culminating in its 
 validation on clinically relevant tasks using anthropomorphic and\, most r
 ecently\, human observer studies in collaboration with multiple physicians
 . This journey illustrates how advances in computational imaging science c
 an make medical imaging safer\, more accessible\, affordable\, and accurat
 e.
GEO:38.648794;-90.30145
LOCATION:Preston M. Green Hall\, Rodin Auditorium room 0120
SUMMARY:Imaging Science & Engineering Seminar | Abhinav K. Jha
URL;VALUE=URI:https://happenings.washu.edu/event/imaging-science-engineerin
 g-seminar-abhinav-k-jha
CATEGORIES:Lectures & Presentations
CATEGORIES:Seminar/Colloquia
END:VEVENT
END:VCALENDAR