Title :
A novel hybrid algorithm for accelerating CT reconstructions and improving low-dose image quality
Author :
Do, Synho ; Karl, W. Clem ; Pien, Homer
Author_Institution :
Massachusetts Gen. Hosp., Boston, MA, USA
fDate :
March 30 2011-April 2 2011
Abstract :
In this paper we introduce a new algorithm for reconstruction of low-dose CT images. The approach, called multi-resolution feature fusion (MRFF), combines the textural qualities of conventional filtered-back projection images, with the noise suppression ability of non-quadratic regularized iterative reconstructions, to form a fast image reconstruction with good noise texture properties. Low-dose abdominal CT data is used to illustrate the properties of MRFF.
Keywords :
computerised tomography; data analysis; feature extraction; filtering theory; image denoising; image fusion; image reconstruction; image resolution; image texture; iterative methods; medical image processing; CT reconstruction hybrid algorithm; filtered-back projection images; low-dose abdominal CT data analysis; low-dose image quality; multiresolution feature fusion; noise suppression; nonquadratic regularized iterative reconstruction; textural qualities; Computed tomography; Image reconstruction; Iris; Noise; Protocols; Reconstruction algorithms; Iterative reconstruction technique; Low dose imaging; MRFF; cone beam spiral;
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium on
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4244-4127-3
Electronic_ISBN :
1945-7928
DOI :
10.1109/ISBI.2011.5872689
