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SUMMARY:Tomographic Imaging with Gamma Rays in the Operating Room
DTSTART:20140918T131500
DTSTAMP:20260408T103700Z
UID:3ad682b4b4207c617850ff186d945a6f2b6ad96a25bd10057b3a6f64
CATEGORIES:Conferences - Seminars
DESCRIPTION:Tobias Lasser\, Ph.D.\, Technical University Munich (D)\nBIOEN
 GINEERING SEMINARAbstract:\nThe introduction of medical imaging methods li
 ke computer tomography (CT) several decades ago has revolutionized the fie
 ld of medical diagnostics. Tomographic imaging methods like CT\, Single Ph
 oton Emission Computed Tomography (SPECT) and Magnetic Resonance Imaging (
 MRI) are now standard of care in most clinics.\nTranslating these diagnost
 ic imaging modalities into therapy\, for example during surgery\, poses se
 veral challenges. Due to the strict requirements of the operating room (ac
 cess to the patient\, time and sterility constraints)\, the data acquired 
 is extremely sparse and irregular. In the context of intra-operative gamma
  ray imaging\, we demonstrate an approach using robot-mounted mini gamma c
 ameras. In particular\, we generate intelligent detector trajectories thro
 ugh an optimization procedure based on the singular value spectrum of the 
 acquisition geometry\, and process the resulting sparse data using iterati
 ve statistical tomographic reconstruction and appropriate detector models.
 Bio:\nTobias Lasser is currently scientific staff at the Chair for Compute
 r Aided Medical Procedures at the Faculty of Informatics at Technische Uni
 versität München in Munich\, Germany. He studied Mathematics and Informa
 tics at the Technische Universität München in Munich\, Germany. After sp
 ending a year in 2005/2006 working on optical tomography at Harvard Univer
 sity in Boston\, USA\, he finished his Ph.D. in 2011 at Technische Univers
 ität München on the topics of optical and intra-operative nuclear tomogr
 aphic imaging. Since then he has been working on advanced reconstruction m
 ethods in the context of X-ray and Gamma ray tomographic imaging modalitie
 s.
LOCATION:SV1717a http://map.epfl.ch/?room=sv1717a
STATUS:CONFIRMED
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