Paper
2 March 2006 Comparison of full-scan and half-scan for cone beam breast CT imaging
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Abstract
The half-scan cone beam technique, requiring a scan for 180° plus detector width only, can help achieve both shorter scan time as well as higher exposure in each individual projection image. This purpose of this paper is to investigate whether half-scan cone beam CT technique can provide acceptable images for clinical application. The half-scan cone beam reconstruction algorithm uses modified Parker's weighting function and reconstructs from slightly more than half of the projection views for full-scan, giving out promising results. A rotation phantom, stationary gantry bench top system was built to conduct experiments to evaluate half-scan cone beam breast CT technique. A post-mastectomy breast specimen, a stack of lunch meat slices embedded with various sizes of calcifications and a polycarbonate phantom inserted with glandular and adipose tissue equivalents are imaged and reconstructed for comparison study. A subset of full-scan projection images of a mastectomy specimen were extracted and used as the half-scan projection data for reconstruction. The results show half-scan reconstruction algorithm for cone beam breast CT images does not significantly degrade image quality when compared with the images of same or even half the radiation dose level. Our results are encouraging, emphasizing the potential advantages in the use of half-scan technique for cone beam breast imaging.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lingyun Chen, Chris C. Shaw, Chao-jen Lai, Mustafa C. Altunbas, Tianpeng Wang, Shu-ju Tu, and Xinming Liu "Comparison of full-scan and half-scan for cone beam breast CT imaging", Proc. SPIE 6142, Medical Imaging 2006: Physics of Medical Imaging, 61424M (2 March 2006); https://doi.org/10.1117/12.648670
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Cited by 4 scholarly publications.
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KEYWORDS
Reconstruction algorithms

Breast

X-ray computed tomography

Image quality

Fluctuations and noise

Computed tomography

Sensors

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