Analysis of ideal observer signal detectability in phase-contrast imaging employing linear shift-invariant optical systems

Anastasio, Mark A.; Chou, Cheng‐Ying; Zysk, Adam M.; Brankov, Jovan G.

doi:10.1364/josaa.27.002648

Cited by 18 publications

(12 citation statements)

References 52 publications

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“…(1) coincides with the signal-to-noise ratio (SNR) of the naïve observer introduced in [35] for the simplest detection task when signal is known exactly and background is known exactly (SKE/BKE) [36], which treats noise in reconstructed slices as uncorrelated (so that the noise power spectrum W is the same for all spatial frequencies, ) 0 ( ) ( W W  u ) and can be written as follows: ) and the hat symbol denotes the Fourier transform. Note also that if noise in the reconstructed slices was uncorrelated, then CNR would coincide with SNR of the ideal observer [36][37]. For correlated noise, CNR is expected to be less than the SNR of the ideal observer.…”

Section: Imaging Performance Characteristicsmentioning

confidence: 99%

Investigation of the imaging quality of synchrotron-based phase-contrast mammographic tomography

Gureyev

Mayo

Nesterets

et al. 2014

J. Phys. D: Appl. Phys.

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We report the results of a systematic study of phase-contrast X-ray computed tomography in the propagation-based and the analyser-based modes using specially designed phantoms and excised breast tissue samples. The study is aimed at quantitative evaluation and subsequent optimisation, with respect to detection of small tumours in breast tissue, of the effects of phase contrast and phase retrieval on key imaging parameters, such as spatial resolution, contrast-to-noise ratio, X-ray dose and a recently proposed "intrinsic quality" characteristic which combines the image noise with the spatial resolution. We demonstrate that some of the methods evaluated in this work lead to substantial (more than 20-fold) improvement in the contrast-to-noise and intrinsic quality of the reconstructed tomographic images compared to conventional techniques, with the measured characteristics being in good agreement with the corresponding theoretical estimations. This improvement also corresponds to an approximately 400-fold reduction in the X-ray dose, compared to conventional absorption-based tomography, without a loss in the imaging quality. The results of this study confirm and quantify the significant potential benefits achievable in 3D mammography using X-ray phase-contrast imaging and phase-retrieval techniques.

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Section: Imaging Performance Characteristicsmentioning

confidence: 99%

Investigation of the imaging quality of synchrotron-based phase-contrast mammographic tomography

Gureyev

Mayo

Nesterets

et al. 2014

J. Phys. D: Appl. Phys.

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“…These methods are intended to evaluate imaging systems based on the performance of some clinically relevant task. Breast mass detection has been a common diagnostic assessment task, with observer studies related to phase-contrast imaging, 1,2 computed tomography (CT) 3 and digital breast tomosynthesis (DBT) 4,5 having appeared over the past few years. Many of these x-ray imaging studies have employed statistical ideal observers, which provide a well-studied, tractable means of carrying out large-scale assessments in simulation.…”

Section: Introductionmentioning

confidence: 99%

Visual‐search observers for assessing tomographic x‐ray image quality

2016

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Purpose: Mathematical model observers commonly used for diagnostic image-quality assessments in x-ray imaging research are generally constrained to relatively simple detection tasks due to their need for statistical prior information. Visual-search (VS) model observers that employ morphological features in sequential search and analysis stages have less need for such information and fewer task constraints. The authors compared four VS observers against human observers and an existing scanning model observer in a pilot study that quantified how mass detection and localization in simulated digital breast tomosynthesis (DBT) can be affected by the number P of acquired projections. Methods: Digital breast phantoms with embedded spherical masses provided single-target cases for a localization receiver operating characteristic (LROC) study. DBT projection sets based on an acquisition arc of 60• were generated for values of P between 3 and 51. DBT volumes were reconstructed using filtered backprojection with a constant 3D Butterworth postfilter; extracted 2D slices were used as test images. Three imaging physicists participated as observers. A scanning channelized nonprewhitening (CNPW) observer had knowledge of the mean lesion-absent images. The VS observers computed an initial single-feature search statistic that identified candidate locations as local maxima of either a template matched-filter (MF) image or a gradient-template MF (GMF) image. Search inefficiencies that modified the statistic were also considered. Subsequent VS candidate analyses were carried out with (i) the CNPW statistical discriminant and (ii) the discriminant computed from GMF training images. These location-invariant discriminants did not utilize covariance information. All observers read 36 training images and 108 study images per P value. Performance was scored in terms of area under the LROC curve. Results: Average human-observer performance was stable for P between 7 and 35. In the absence of search inefficiencies, the VS models based on the GMF analysis provided the best correlation (Pearson ρ ≥ 0.62) with the human results. The CNPW-based VS observers deviated from the humans primarily at lower values of P. In this limited study, search inefficiencies allowed for good quantitative agreement with the humans for most of the VS observers. Conclusions: The computationally efficient training requirements for the VS observer are suitable for high-resolution imaging, indicating that the observer framework has the potential to overcome important task limitations of current model observers for x-ray applications. C 2016 American Association of Physicists in Medicine. [http://dx

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“…r The NEQ and ideal-observer analysis could be performed directly on the detected raw data with equal results if conversion to phase contrast and log normalization are assumed linear. 39 Nevertheless, we prefer to work on reconstructed phase and absorption image data to better understand the relative influence of signal and noise, and to be able to measure NPS and MTF in meaningful images.…”

Section: Iic4 Initial Comparison Of Phase and Absorption Contrastmentioning

confidence: 99%

Ideal‐observer detectability in photon‐counting differential phase‐contrast imaging using a linear‐systems approach

et al. 2012

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Cascaded-systems analysis enables comprehensive and intuitive evaluation of phase-contrast efficiency in relation to absorption contrast under requirements of equal dose, equal geometry, and equal photon economy. The benefit of Talbot interferometry was highly dependent on task, in particular detection versus discrimination tasks, and target size, shape, and material. Requiring equal photon economy weakened the benefit of Talbot interferometry in mammography.

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Analysis of ideal observer signal detectability in phase-contrast imaging employing linear shift-invariant optical systems

Cited by 18 publications

References 52 publications

Investigation of the imaging quality of synchrotron-based phase-contrast mammographic tomography

Investigation of the imaging quality of synchrotron-based phase-contrast mammographic tomography

Visual‐search observers for assessing tomographic x‐ray image quality

Ideal‐observer detectability in photon‐counting differential phase‐contrast imaging using a linear‐systems approach

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