Liran Goshen (Philip Healthcare)
Spectral CT is a novel, rapidly emerging imaging technique which offers
important new functional and specific information.
The possibility to acquire CT scans with different x-ray spectra improves
the capability to differentiate and characterize materials and tissues.
This adds a new dimension to CT imaging, delivering anatomical information
and the ability to characterize structures based on their material
makeup. The additional level of spectral information in the CT exam helps
clinicians to identify the chemical composition of materials in the body
for further diagnostic interrogation. Spectral CT has already shown its
usefulness in a variety of clinical applications. For example, angiography
is improved as bone can be identified through its spectral properties and can
be removed from the study.
In this talk, we will introduce the spectral CT Imaging and will discuss
some of the algorithmic challenges that arise in this field.
Dr. Liran Goshen is the Director of the Workflow, Cardiac & Image
Processing Lab in the CT Global Research and Advanced Development (GRAD)
group at Philips Healthcare.
He has received a B.Sc. (summa cum laude) in Information System
Engineering and in 2006 received a Ph.D. (direct track) in the field of Computer
Vision, both from the Technion - Israel Institute of Technology.
After his studies, he joined as a Research Scientist to the GRAD group and
in 2011 he took on his current role.
The talk is given as part of a collaboration between Philips and Geometric Computer Vision
course (No. 236861) will be held a special talk on “Spectral CT Imaging
Image Analysis” by Dr. Liran Goshen from Philip Healthcare