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SUMMARY:Towards enabling diffuse optical tomography in medical imaging - P
 aola  Causin (University of Milan)
DTSTART:20230623T080000Z
DTEND:20230623T090000Z
UID:TALK200461@talks.cam.ac.uk
DESCRIPTION:In the past decades\, the use of Computerized Tomography (CT) 
 has increased dramatically owing to its excellent diagnostic performance\,
  easy accessibility\, short scanning time\, and cost-effectiveness. Enabli
 ng CT technologies with a reduced/null radiation dose while preserving/enh
 ancing the diagnostic quality is a key challenge in modern medical imaging
 . Increased noise levels are\, however\, an expected downfall of all these
  new technologies. In this talk we will refer about our research focused o
 n Diffuse Optical Tomography (DOT)\, a CT technology based on NIR light as
  investigating signal [1]. Strong light scattering in biological tissues m
 akes DOT reconstruction a severely ill-conditioned problem\, so that denoi
 sing is a crucial step. After a brief description of the DOT modality\, fi
 rst we will present our results in exploring variational approaches based 
 on partial differential equation models endowed with different regularizer
 s to compute a stable DOT-CT reconstruction [2\,3]. Then\, we will discuss
  our more recent research on the use of DL-based generative models to prod
 uce more effective soft priors which\, used in combination with standard f
 orward problem solvers or DL-based forward problem solvers allow to improv
 e spatial resolution in high contrast zones and reduce noise in low-contra
 st zones\, typical of medical imaging.\n&nbsp\;\n[1] Arridge\, S. R. (1999
 ). Optical tomography in medical imaging. Inverse problems\, 15(2)\, R41.\
 n[2] Causin\, P.\, Lupieri\, M. G.\, Naldi\, G.\, & Weishaeupl\, R. M. (20
 20). Mathematical and numerical challenges in optical screening of female 
 breast. International Journal for Numerical Methods in Biomedical Engineer
 ing\, 36(2)\, e3286.\n[3] Benfenati\, A.\, Causin\, P.\, Lupieri\, M. G.\,
  & Naldi\, G. (2020\, March). Regularization techniques for inverse proble
 m in DOT applications. In Journal of Physics: Conference Series (Vol. 1476
 \, No. 1\, p. 012007). IOP Publishing.
LOCATION:Seminar Room 1\, Newton Institute
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