An iterative algorithm for X-ray CT fluoroscopy

Author

Wang, Ge ; Schweiger, Gary ; Vannier, Michael W.

Author_Institution

Dept. of Radiol., Iowa Univ., Iowa City, IA, USA

Volume

17

Issue

5

fYear

1998

Firstpage

853

Lastpage

856

Abstract

X-ray computed tomography fluoroscopy (CTF) enables image guidance of interventions, synchronization of scanning with contrast bolus arrival, and motion analysis. However, filtered backprojection (FB), the current method for CTF image reconstruction, is subject to motion and metal artifacts from implants, needles, or other surgical instruments. Reduced target lesion conspicuity may result from increased image noise associated with reduced tube current. In this report, the authors adapt the row-action expectation-maximization (EM) algorithm for CTF. Because time-dependent variation in images is localized during CTF, the row-action EM-like algorithm allows rapid convergence. More importantly, this iterative CTF algorithm has fewer metal artifacts and better low-contrast performance than FB.

Keywords

computerised tomography; image reconstruction; iterative methods; medical image processing; noise; X-ray CT fluoroscopy; contrast bolus arrival; filtered backprojection; image guidance; image noise; implants; iterative algorithm; medical diagnostic imaging; metal artifacts; motion analysis; needles; reduced target lesion conspicuity; surgical instruments; tube current; Computed tomography; Image reconstruction; Implants; Iterative algorithms; Lesions; Motion analysis; Needles; Noise reduction; Surgical instruments; X-ray imaging; Algorithms; Fluoroscopy; Humans; Image Processing, Computer-Assisted; Phantoms, Imaging; Radiography, Interventional; Tomography, X-Ray Computed;

fLanguage

English

Journal_Title

Medical Imaging, IEEE Transactions on

Publisher

ieee

ISSN

0278-0062

Type

jour

DOI

10.1109/42.736058

Filename

736058