BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CERN//INDICO//EN
BEGIN:VEVENT
SUMMARY:The development of the QETIR image reconstruction software for the
  Total-Body J-PET application
DTSTART;VALUE=DATE-TIME:20220714T151000Z
DTEND;VALUE=DATE-TIME:20220714T152500Z
DTSTAMP;VALUE=DATE-TIME:20260812T024320Z
UID:indico-contribution-767@indico.koza.if.uj.edu.pl
DESCRIPTION:Speakers: Meysam  Dadgar\; Jagiellonian University\, Poland ()
 \nAuthors:\nMeysam Dadgar\, Faranak Tayefi Ardebili\n\nThe unique features
  that PET scanners have provided to the specialists in diagnosing diseases
  and investigating the physiology of the body have facilitated the develop
 ment of a more advanced generation of tomographs in order to improve their
  performance\, called Total-Body PET scans.\nDue to the larger AFOV\, TB P
 ET scanners provide more extensive detection coverage around the patient's
  body. They have significantly increased the probability of detecting phot
 ons emitted from the patient's body. This issue has increased the sensitiv
 ity of TB PETs and enhanced their accuracy in detecting and locating tumor
 s with smaller dimensions. This unique feature can increase the chances of
  saving the patient by detecting tumors in the early stages.\nAlong with t
 he numerous advantages of developing TB PETs\, the construction cost and m
 aintenance of these systems\, due to a large number of electronic componen
 ts and detectors\, have become one of the biggest obstacles to their wides
 pread use in diagnostic and research centers.\nJ-PET collaboration at Jagi
 ellonian University\, as one of the leading research groups in developing 
 cost-effective larger AFOV PET based on plastic scintillators\, has been a
 ble to introduce a new generation of the systems mentioned above by overco
 ming the existing limitations.\nBesides the hardware challenges in the con
 struction of TB PET systems\, the demand to develop image reconstruction s
 oftware that can support these complex systems was felt due to the signifi
 cant differences between these systems and current clinical tomographs.\nI
 n addition to the cases mentioned above\, in TB J-PET\, due to the utiliza
 tion of dual-layer configuration and large AFOV\, most of the image recons
 truction software are not able to support it.\nThe Medisip group developed
  QETIR (Quantitative Emission Tomography Iterative Reconstruction) at Gent
  University as a flexible software that has overcome the existing challeng
 es in TB PETs image reconstruction.\nThe main aim of this study is to inve
 stigate the performance of QETIR image reconstruction software in J-PET sc
 anners with different AFOVs\, and single and multi-layer configurations.\n
 \nhttps://indico.koza.if.uj.edu.pl/event/7/contributions/767/
LOCATION:Collegium Novodvorscianum
URL:https://indico.koza.if.uj.edu.pl/event/7/contributions/767/
END:VEVENT
END:VCALENDAR