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SUMMARY:Reconstruction of tomographic images from limited-angular-range da
 ta - Xiaochuan Pan (University of Chicago)
DTSTART:20230329T080000Z
DTEND:20230329T085000Z
UID:TALK198232@talks.cam.ac.uk
DESCRIPTION:It remains of theoretical and practical interests in image rec
 onstruction from data collected over limited-angular ranges (LARs) in tomo
 graphic imaging such as X-ray computed tomography (CT) imaging. The proble
 m of image reconstruction from LAR data is well-recognized to be challengi
 ng because it is generally highly ill-conditioned. In the talk\, I will di
 scuss some of our recent work on optimization-based image reconstruction f
 rom LAR data in standard single-energy CT (SECT)\, which involves the inve
 rsion of a linear data model relating data and image of interest. Another 
 topic of active research in the CT-imaging area is the algorithm developme
 nt for image reconstruction in multi-energy CT (MECT) (also referred to as
  multi-spectral CT) in which multiple sets of data are collected with mult
 iple effective scan-system spectra. Dual-energy CT (DECT)\, a special case
  of MECT\, acquires two data sets with two distinct spectra. In MECT/DECT\
 , a data model nonlinearly relates data and image of interest\, thus leadi
 ng to a reconstruction problem distinctively different from that in SECT. 
 While image reconstruction from full-angular-range data has been studied e
 xtensively in DECT\, there remains limited effort in developing image reco
 nstruction from LAR data in MECT/DECT. As such\, I will also discuss some 
 of our recent work on image reconstruction from LAR data in MECT/DECT.
LOCATION:Seminar Room 1\, Newton Institute
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