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Study and development of efficient numerical
methods to improve emerging medical imaging techniques such as transmission or
emission tomographic imaging and magnetic resonance imaging.
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Study and development of regularization
algorithms for the solution of the inverse ill-posed problems arising in
medical imaging reconstruction. In particular, we consider iterative
regularization algorithms and we study stooping criteria for such algorithms.
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Study of general, robust and efficient methods
for dealing with numerical solution of partial differential equations (PDE’s)
models arising in image multiscale analysis.
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Radiology:
X-ray tomography and MRI.
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Neurology and neuroscience: functional brain studies.
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Nuclear medicine:
PECT and SPECT.
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Medical imaging:
ultrasound 2D/3D
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Dynamic MR images reconstruction
and regularization (E.Loli Piccolomini, F. Zama, G. Landi)
· Tomographic images
reconstruction (TAC,SPECT,PET) ( F. Zama, E. Loli
Piccolomini)
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Denoising,
segmentation,
registration
and interpolation
of images and image sequences (S. Morigi, F. Sgallari)