BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4//
BEGIN:VEVENT
UID:20250907T152048EDT-4829E9vAza@132.216.98.100
DTSTAMP:20250907T192048Z
DESCRIPTION:\nPh.D. ORAL DEFENSE - Department of Biomedical Engineering\n 
 \nMr. Paul Gravel:\n	Direct Reconstruction of binding potential for positro
 n emission tomography\n \nFriday\, November 21\, 2014 at 9:15 a.m.\nDuff M
 edical Bldg.\nConference Room 333\n3775 University Street\n\n	(Enter via Un
 iversity Street.  Continue straight through the Lobby and down the corrido
 r\, turn right just before the double doors.  Take the elevator or stairs 
 up to the third floor.   Room 333 is at the end of the hallway)\n \n \nABS
 TRACT\nCurrently\, positron emission tomography (PET) produces reconstruct
 ed images that require considerable post-processing efforts\, in order to 
 deliver meaningful results to researchers. This work proposes to alleviate
  these post-processing efforts by incorporating each step within the recon
 struction framework of the raw PET data to provide the researchers directl
 y with better images of interest\, in a stereotaxic space for easy interpr
 etation.\nIn neuroscience and psychiatry\, the goal of many studies using 
 PET is to assess whether or not specific biological parameters significant
 ly differ between groups or conditions. However\, to get the biological pa
 rameters of interest\, tracer kinetic modeling techniques are required . T
 hese techniques are conventionally appl ied after reconstruction of the PE
 T data. In addition\, to test for significance at the voxellevel statistic
 al parametric mapping is often used which requires all the images to be re
 gistered in a common spatial atlas\, or stereotaxic space. Typically\, thi
 s step is performed after PET image reconstruction as well.\nIt is becomin
 g increasingly clear that it is often better\, in terms of achieving bette
 r quantification \, to estimate the parameters of interest directly from t
 he raw Poisson distributed PET data\, rather than to first reconstruct and
  then separately post process the data.\nTherefore\, the first aim of this
  project was to incorporate the registration to anatomical MR (or stereota
 xic) space into the image reconstruction algorithm and assess its performa
 nce by comparing the results with those of conventional post-reconstructio
 n registration. The second aim was to combine the simplified reference tis
 sue model with the basis function method (SRTM-BFM) tracer kinetic model w
 ith the recently developed direct 40 PET one-step late maximum likelihood 
 expectation maximization (OSL-MLEM) reconstruction algorithm and evaluate 
 its performance with the conventional post-reconstruction method. Finally\
 , the methods developed and assessed for aims 1 and 2 were combined and ap
 plied on a [11C]raclopride-like simulated study consisting of two conditio
 ns\, to test whether or not statistical significance is increased in compa
 rison to the conventional post-reconstruction method.\nThe proposed resear
 ch has the potential to improve current PET method(s) and constitutes an i
 mportant step towards the goal of providing researchers with \, not only b
 etter results\, but directly interpretable results.\n
DTSTART:20141121T141500Z
DTEND:20141121T141500Z
LOCATION:Conference Room 333\, Duff Medical Building\, CA\, QC\, Montreal\,
  H3A 2B4\, 3775 rue University
SUMMARY:Ph.D. Oral Defense: 'Direct Reconstruction of binding potential for
  positron emission tomography' [Mr. Paul Gravel]
URL:/bic/channels/event/phd-oral-defense-direct-recons
 truction-binding-potential-positron-emission-tomography-mr-paul-gravel-240
 222
END:VEVENT
END:VCALENDAR