Clinical and experimental investigation of a smoothed CT reconstruction algorithm.

Joseph, Peter M.; Hilal, S. K.; Schulz, Raymond; Kelcz, Frederick

doi:10.1148/radiology.134.2.7352241

Cited by 26 publications

(14 citation statements)

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“…Thinner slices reduce partial volume effects and can improve lesion detection, yet unless a compensatory increase in exposure is made, the resultant images have higher noise levels, which may offset any advantage in lesion conspicuity provided by the reduction in slice thickness. Traditional low pass or smoothing algorithms can be used in combination with thinner slices to offset noise increases; however, these algorithms also reduce spatial resolution [14]. Alternatively, recently developed hybrid reconstruction algorithms using iterative techniques have the potential to facilitate thin slices without noise increase [15]; however, studies investigating the interaction between algorithm, slice thickness and exposure when optimising hepatic CT protocols are required.…”

Section: Advances In Knowledgementioning

confidence: 99%

Noise-reducing algorithms do not necessarily provide superior dose optimisation for hepatic lesion detection with multidetector CT

Dobeli¹,

Lewis²,

Meikle³

et al. 2013

The British Journal of Radiology

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Cite this article as: Dobeli KL, Lewis SJ, Meikle SR, Thiele DL, Brennan PC. Noise-reducing algorithms do not necessarily provide superior dose optimisation for hepatic lesion detection with multidetector CT. Br J Radiol 2013;86:20120500. Noise-reducing algorithms do not necessarily provide superior dose optimisation for hepatic lesion detection with multidetector CT Objective:To compare the doseoptimisation potential of a smoothing filtered backprojection (FBP) and a hybrid FBP/iterative algorithm to that of a standard FBP algorithm at three slice thicknesses for hepatic lesion detection with multidetector CT.Methods: A liver phantom containing a 9.5-mm opacity with a density of 10 HU below background was scanned at 125, 100, 75, 50 and 25 mAs. Data were reconstructed with standard FBP (B), smoothing FBP (A) and hybrid FBP/iterative (iDose 4 ) algorithms at 5-, 3-and 1-mm collimation. 10 observers marked opacities using a four-point confidence scale. Jackknife alternative freeresponse receiver operating characteristic figure of merit (FOM), sensitivity and noise were calculated.Results: Compared with the 125-mAs/5-mm setting for each algorithm, significant reductions in FOM (p,0.05) and sensitivity (p,0.05) were found for all three algorithms for all exposures at 1-mm thickness and for all slice thicknesses at 25 mAs, with the exception of the 25-mAs/5-mm setting for the B algorithm. Sensitivity was also significantly reduced for all exposures at 3-mm thickness for the A algorithm (p,0.05). Noise for the A and iDose 4 algorithms was approximately 13% and 21% lower, respectively, than for the B algorithm.Conclusion: Superior performance for hepatic lesion detection was not shown with either a smoothing FBP algorithm or a hybrid FBP/iterative algorithm compared with a standard FBP technique, even though noise reduction with thinner slices was demonstrated with the alternative approaches.

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Section: Advances In Knowledgementioning

confidence: 99%

Noise-reducing algorithms do not necessarily provide superior dose optimisation for hepatic lesion detection with multidetector CT

Dobeli¹,

Lewis²,

Meikle³

et al. 2013

The British Journal of Radiology

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“…A poor (but practical) man's version of a prewhitening filter, with respect to the CT negative noise correlations, can be achieved by means of gross image smoothing. Joseph and collaborators (Joseph 1977(Joseph , 1978Joseph et al 1980) have found that in CT this requires first expanding the data scale to maintain numerical precision and then using a low pass filter function with a very low frequency cut off.…”

Section: Performance Of Real Observersmentioning

confidence: 99%

Unified SNR analysis of medical imaging systems

1985

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The ideal observer signal to noise ratio (SNR) has been derived from statistical decision theory for all of the major medical imaging modalities. This SNR provides an absolute scale for image system performance assessment and leads to instrumentation design goals and constraints for imaging system optimisation since no observer can surpass the performance of the ideal observer. The dependence of detectable detail size on exposure or imaging time follows immediately from the analysis. A framework emerges for comparing data acquisition techniques, e.g. reconstruction from projections versus Fourier methods in NMR imaging, and time of flight positron emission tomography (TOFPET) versus conventional PET. The approach of studying the ideal observer is motivated by measurements on human observers which show that they can come close to the performance of the idea) observer, except when the image noise has negative correlations-as in images reconstructed from projections-where they suffer a small but significant penalty.

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“…A poor (but practical) man's version of a pre-whitening filter--with respect to the CT negative noise correlations--can be achieved by means of gross image smoothing. Joseph has found that in CT this requires first expanding the data scale to maintain numerical precision and then using a filter function with a very poor high frequency response (14).…”

Section: Performance Of Real Observersmentioning

confidence: 99%

<title>More Unified Analysis Of Medical Imaging System SNR Characteristics</title>

Wagner

Brown

1984

SPIE Proceedings

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The ideal observer signal-to-noise ratio has been derived from statistical decision theory for all of the major medical imaging modalities. This yields an absolute scale for image performance assessment and instrumentation design and optimization. Applications include: the functional dependence of detectable detail size on exposure or imaging time; a framework for comparing data acquisition techniques, e.g., Fourier methods vs reconstruction from projections in NMR imaging; calculations of realizable limits, e.g., the limiting gain of time-of-flight PET scanning. Measurements on human observers show that they can come close to ideal performance, except when the noise has negative correlations as in images reconstructed from projections. In this latter case they suffer a small but significant penalty.

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Clinical and experimental investigation of a smoothed CT reconstruction algorithm.

Cited by 26 publications

References 0 publications

Noise-reducing algorithms do not necessarily provide superior dose optimisation for hepatic lesion detection with multidetector CT

Noise-reducing algorithms do not necessarily provide superior dose optimisation for hepatic lesion detection with multidetector CT

Unified SNR analysis of medical imaging systems

<title>More Unified Analysis Of Medical Imaging System SNR Characteristics</title>

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