Title :
Physically meaningful virtual unenhanced image reconstruction from dual-energy CT
Author :
Maddah, Mahnaz ; Mendonca, Paula R S ; Bhotika, Rahul
Author_Institution :
GE Global Res., Niskayuna, NY, USA
Abstract :
Virtual unenhanced (VUE) image reconstruction techniques have the potential to eliminate the need for the acquisition of a non-contrast exam in imaging protocols that currently require both contrast and non-contrast computed tomographic (CT) scans. Here, we propose a new physically meaningful approach for the generation of VUE images as an application of a recently introduced technique for multi-material decomposition (MMD) from dual-energy CT. Rather than subtracting an estimate of the contribution to the image intensity in Hounsfield units due to contrast agent from the original image, the new algorithm replaces the estimated volume of contrast in each voxel by the same volume of the material that the contrast has displaced, namely, blood. Our results on both phantom and patient data demonstrate that VUE images can replace true unenhanced images effectively, thereby reducing radiation exposure and scan time of CT exams.
Keywords :
computerised tomography; image enhancement; image reconstruction; medical image processing; phantoms; computed tomography; dual-energy CT; multimaterial decomposition; phantom; radiation exposure; virtual unenhanced image reconstruction; volume of contrast; Attenuation; Blood; Computed tomography; Image generation; Image reconstruction; Imaging phantoms; Liver; Physics computing; Protocols; X-ray imaging; Virtual unenhanced; computed tomography; dual energy; fast kV switching; multi-material decomposition;
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on
Conference_Location :
Rotterdam
Print_ISBN :
978-1-4244-4125-9
Electronic_ISBN :
1945-7928
DOI :
10.1109/ISBI.2010.5490051