Paper
24 July 1998 Improving the temporal response of computed tomography fluoroscopy
Author Affiliations +
Abstract
Interventional procedures with the guidance of computed tomography have attracted significant interest among clinicians in recent years. The application of computed tomography fluoroscopy (CTF) to interventional procedures has not only significantly improved the patient safety and reduced the probability of procedure complication, but also significantly shortened the procedure time. Recent studies, however, have indicated that a significant time delay exists in the CTF due to the nature of tomographic reconstruction process. This inherent limitation could lead to either confusions to the operator or prolonged interventional procedure time. A detailed comparison of various tomographic reconstruction algorithms indicates that the halfscan algorithm provides one of the best performance in terms of time delay. To further improve the temporal response of the CTF system, we propose an optimized halfscan (OHS) algorithm. The OHS algorithm suppresses information at the start of the scan by applying non-positive weights to the projections. At the same time, the projections near the end of the scan are given weights larger than unity. The weighting function is designed such that the overall contribution from the redundant samples remains constant. The parameters of the weighting function are selected to achieve a proper balance between the temporal response of the system and the acceptable level of image artifacts. Theoretical analysis and phantom experiments have shown that a significant improvement in CTF temporal response can be achieved with the proposed scheme.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jiang Hsieh "Improving the temporal response of computed tomography fluoroscopy", Proc. SPIE 3336, Medical Imaging 1998: Physics of Medical Imaging, (24 July 1998); https://doi.org/10.1117/12.317029
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KEYWORDS
Contrast transfer function

Reconstruction algorithms

Fluoroscopy

Computed tomography

Biopsy

Sensors

Tomography

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