The fundamental principles of spectral CT and PCD CT are introduced, their advantages in neuro-oncologic applications, and their potential to improve diagnostic imaging through enhanced image quality and quantitative accuracy are introduced.
Photon-counting computed tomography (PCCT) represents a detector-level transformation in CT imaging. Unlike conventional energy-integrating detectors, photon-counting detectors directly convert individual X-ray interactions into electrical pulses and classify them according to energy. This architecture enables electron...
A. S. Perera Molligoda Arachchige, Fatemeh Darvizeh· Italian National Conference...· 0 citations
Spectral computed tomography (CT) has become an important extension of contrast-enhanced CT (CECT) in oncologic imaging by providing material-specific information beyond conventional morphologic assessment. Dual-energy CT (DECT), implemented on energy-integrating detector CT (EID-CT) platforms, has demonstrated the val...
Yusuke Kawasaki, Kota Yokoyama, Hiroto Hada et al.· Insights into Imaging· 0 citations
Molecular imaging has been transformed by integrating positron emission tomography (PET) or single-photon emission computed tomography (SPECT) with x-ray computed tomography (CT). However, x-ray CT in hybrid imaging is used primarily for anatomical localization and for attenuation and scatter correction of emission dat...
Guo-Bao Wang, K. Thielemans, P. Noël et al.· arXiv.org· 0 citations
While sharper kernels and lower monoenergetic bins increased noise and reduced CNRD, they significantly improved spatial resolution, achieving sub-millimeter feature detectability in one patient, supporting feasible lesion detectability under these thresholds.