Title :
A comparative study of motion estimations and super resolutions on digital breast tomosynthesis projection images
Author :
Kantharak, S. ; Chalidabhongse, T.H. ; Prueksadee, J.
Author_Institution :
Biomed. Eng., Chulalongkorn Univ., Bangkok, Thailand
fDate :
July 30 2014-Aug. 1 2014
Abstract :
Super Resolution (SR) is the image processing technique that reconstructs a high resolution (HR) image from multiple low resolution images. Image registration is a necessary part of SR reconstruction. The accuracy of motion estimation in registration step affects the quality of the result HR image directly. In this paper, we study the feasibility of SR in Digital Breast Tomosynthesis (DBT) projection images. We compare the frequency and spatial domain methods of motion estimation in DBT projection image registration. Moreover, we compare different SR reconstruction methods that include bi-cubic interpolation, iterative back projection, and robust SR. The results show that motion estimation in the spatial domain is more precise than that of frequency domain. For SR reconstruction, robust SR algorithm outperforms the others.
Keywords :
computerised tomography; frequency-domain analysis; image reconstruction; image registration; image resolution; interpolation; iterative methods; medical image processing; motion estimation; DBT projection image processing technique; SR high resolution image reconstruction method; bicubic interpolation; digital breast tomosynthesis projection image registration; frequency domain method; iterative back projection; motion estimation; spatial domain method; super resolution; Breast; Frequency-domain analysis; Image reconstruction; Image resolution; Motion estimation; Reconstruction algorithms; Robustness; Digital Breast Tomosynthesis; Super Resolution; motion estimation;
Conference_Titel :
Computer Science and Engineering Conference (ICSEC), 2014 International
Conference_Location :
Khon Kaen
Print_ISBN :
978-1-4799-4965-6
DOI :
10.1109/ICSEC.2014.6978181
