Emil Malucelli is a research assistant of the University
of Bologna. In the 2002 he gained a master's degree in Information
Science and in the 2007 a doctorate (PhD) in Biochemistry at the
University of Bologna. Since 2002 has contributed to the
development of post-processing methods of in vivo magnetic
resonance spectroscopy and imaging (MRS MRI) both in basic research
and in diagnostic applications.
In particular, he is engaged in developing new software designed
to speed up both the acquisition and the post-processing of 31P-MRS
data, particularly with regard to variations in free cytosolic
[Mg2+] in skeletal muscle under various metabolic conditions (rest,
exercise and recovery) and brain in various pathologies.
In addition a relevant body of the research activity by MRS has
been directed to the study of different strategy for the absolute
metabolite quantification by 1H-MRS that is crucial to obtain
precise information for clinical practice. Currently new algorithms
are being developed for the procedure of “segmentation” with the
aim of distinguishing, in pre-selected volumes, the resonance
signals arising from white matter, grey matter and cerebral spinal
fluid, characterized by notably different metabolite
concentrations.
Now he is engaged in developing new application for the
post-processing of MR images. An important part of the work has the
objective of designing and developing software to process the MR
signal to obtain maps of Mean Diffusivity (MD) and Fractional
Anisotropy (FA). Currently new algorithms are being developed to
optimise MR signal processing in a rapid operator-independent way,
in particular for the procedure of segmentation and registration.
These new algorithms are being developed to distinguish, in
pre-selected volumes, the resonance signals arising from white
matter, grey matter and cerebral spinal fluid, characterized by
notably different metabolite concentrations and functionality.