Improved depiction of small anatomic structures in MR images using Gaussian-weighted spirals and zero-filled interpolation.
Partial-volume artifacts reduce the contrast and continuity of small structures in magnetic resonance images. Zero-filled interpolation (ZFI) has been known for some time as a useful technique to reduce partial-volume artifacts and improve the appearance of small structures and edges. However, its use is limited by the fact that ZFI can exacerbate image artifacts. For example, it can exacerbate Gibbs ringing, also known as the truncation artifact, which manifests itself as spurious ringing around sharp edges. Currently, the most common technique to address this problem is post-acquisition filtering, which causes blurring in the image. Using ZFI in conjunction with a variable-density sampling method designed to reduce ringing is proposed as a possible solution to this problem. This approach is demonstrated with a Gaussian-weighted spiral and is compared to conventional spiral sampling both with and without the application of a filter used to reduce ringing. The two spiral sampling techniques are compared using simulations, phantom images, and in vivo brain images. The Gaussian-weighted spiral demonstrates reduced ringing without the loss of spatial resolution commonly associated with post-acquisition filtering. Additionally, this sampling technique is shown to work well in conjunction with ZFI to reduce partial-volume artifacts without the apparent increase in Gibbs ringing usually associated with zero-filled reconstruction. This approach will be most useful for imaging techniques such as MR angiography which are known to be sensitive to partial-volume effects, as well as when imaging anatomic regions associated with more severe Gibbs ringing.
Elgavish
Rotem A
RA
Department of Biomedical Engineering The University of Alabama at Birmingham, Birmingham, Alabama 35294-4440, USA.
Twieg
Donald B
DB
D001921:Brain / Q000033:anatomy & histology*; D003198:Computer Simulation; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000295:instrumentation; D008433:Mathematics; D019047:Phantoms, Imaging; D012815:Signal Processing, Computer-Assisted