Antialiasing weighting function for helical CT

Patrick J. La Riviere; Xiaochuan Pan

doi:10.1117/12.430863

28 June 2001 Antialiasing weighting function for helical CT

Proceedings Volume 4320, Medical Imaging 2001: Physics of Medical Imaging; (2001) https://doi.org/10.1117/12.430863
Event: Medical Imaging 2001, 2001, San Diego, CA, United States

Abstract

Longitudinal aliasing effects plague most volumes reconstructed from single-slice helical computed tomography data, and its presence can degrade resolution and distort image structures. We have recently developed a Fourier-based approach to longitudinal interpolation in helical CT that can, under certain conditions, essentially eliminate this longitudinal aliasing by exploiting a generalization of the sampling theorem whose conditions are satisfied by the interlaced pairs of direct and complementary longitudinal samples. However, the algorithm is computationally intensive and cannot be pipelined. In the present work, we address this shortcoming by deriving a spatial-domain, projection- data weighting function that approximates the application of the Fourier-based approach, and preserves its aliasing suppression properties to some degree, while allowing for a pipelined implementation. We call the approach 180AA, for anti-aliasing.

Citation Download Citation

Patrick J. La Riviere and Xiaochuan Pan "Antialiasing weighting function for helical CT", Proc. SPIE 4320, Medical Imaging 2001: Physics of Medical Imaging, (28 June 2001); https://doi.org/10.1117/12.430863

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available