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Title: Signal Amplification Technique (SAT): an approach for improving resolution and reducing image noise in computed tomography

Technical Report ·
DOI:https://doi.org/10.2172/6461192· OSTI ID:6461192

Spatial resolution improvements in computed tomography (CT) have been limited by the large and unique error propagation properties of this technique. The desire to provide maximum image resolution has resulted in the use of reconstruction filter functions designed to produce tomographic images with resolution as close as possible to the intrinsic detector resolution. Thus, many CT systems produce images with excessive noise with the system resolution determined by the detector resolution rather than the reconstruction algorithm. CT is a rigorous mathematical technique which applies an increasing amplification to increasing spatial frequencies in the measured data. This mathematical approach to spatial frequency amplification cannot distinguish between signal and noise and therefore both are amplified equally. We report here a method in which tomographic resolution is improved by using very small detectors to selectively amplify the signal and not noise. Thus, this approach is referred to as the signal amplification technique (SAT). SAT can provide dramatic improvements in image resolution without increases in statistical noise or dose because increases in the cutoff frequency of the reconstruction algorithm are not required to improve image resolution. Alternatively, in cases where image counts are low, such as in rapid dynamic or receptor studies, statistical noise can be reduced by lowering the cutoff frequency while still maintaining the best possible image resolution. A possible system design for a positron CT system with SAT is described.

Research Organization:
Univ. of California, Berkeley, CA (United States); Univ. of California, Los Angeles, CA (United States)
DOE Contract Number:
AC03-76SF00012
OSTI ID:
6461192
Report Number(s):
UCLA-12/1296; ON: DE81025818; TRN: 81-014209
Country of Publication:
United States
Language:
English

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