2012
DOI: 10.1118/1.3700172
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Completeness map evaluation demonstrated with candidate next‐generation cardiac CT architectures

Abstract: The completeness map evaluation provides useful information for selecting the next-generation cardiac CT system design. The proposed completeness map method provides a practical tool for analyzing complex scanning trajectories, where the theoretical image quality for some complex system designs is impossible to predict, without yet-undeveloped reconstruction algorithms.

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Cited by 23 publications
(21 citation statements)
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“…The level of cone‐beam artifacts associated with an architecture is evaluated by computing the amount of data missing in Radon space . Our completeness score is defined as the percentage of the Radon space that is actually measured, for the worst‐case voxel location in the imaged volume.…”
Section: Methods — Evaluation Metricsmentioning
confidence: 99%
“…The level of cone‐beam artifacts associated with an architecture is evaluated by computing the amount of data missing in Radon space . Our completeness score is defined as the percentage of the Radon space that is actually measured, for the worst‐case voxel location in the imaged volume.…”
Section: Methods — Evaluation Metricsmentioning
confidence: 99%
“…Some methods to determine the sampling completeness in projections were introduced for pinhole SPECT [5], [6]. Another paper proposed a completeness map for a number of candidate cardiac CT system designs [7]. We have developed a similar method to quantify this incompleteness for motion corrected helical CT, as a predictor of the reconstruction accuracy.…”
Section: Introductionmentioning
confidence: 99%
“…In the same time, we propose a reconstruction method for the specific configuration which adopts an iterative algorithm to resolve the reconstruction based on the alterative part projections. Besides, there are missing projection data that is at the region of placing X-ray source devices in the source-detector plate, which will result in artifacts in the reconstructed image [14], [15]. Due to the width of the X-ray source device is in millimeter level, which is much higher than the pixel size of the detector, the conventional artifact deduction methods, such as interpolation [16], [17], regularization in iterative reconstruction [18] cannot handle it well.…”
Section: Introductionmentioning
confidence: 99%