Towards the clinical application of X-ray phase contrast imaging

Williams, Ian; Siu, Karen Kit Wan; Gan, R.; He, Xiao Juan Joyce; Hart, Stewart; Styles, Colin; Lewis, Robert A.

doi:10.1016/j.ejrad.2008.04.042

Cited by 20 publications

(13 citation statements)

References 10 publications

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“…Castelli et al units that produce an x-ray beam with features similar but not identical to synchrotron radiation (48)(49)(50) and other setups that allow some degree of phase contrast ( 51,52 ). Our study had four main limitations.…”

Section: Breast Imaging: Digital Mammography Versus Mammography With mentioning

confidence: 98%

Mammography with Synchrotron Radiation: First Clinical Experience with Phase-Detection Technique

Castelli

Tonutti²,

Arfelli³

et al. 2011

Radiology

187

180

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Section: Breast Imaging: Digital Mammography Versus Mammography With mentioning

confidence: 98%

Mammography with Synchrotron Radiation: First Clinical Experience with Phase-Detection Technique

Castelli

Tonutti²,

Arfelli³

et al. 2011

Radiology

187

180

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“…32,35,38,49,51,[56][57][58] For mammography, the advantages are the possibility to image clusters of fine microcalcifications 51 and the production of superior images with better breast feature visibility. 27,30,[59][60][61][62] Calcium oxalate crystals, unstained on H&E slides, can cause discrepant radiographic and microscopic biopsy findings. Gonzales et al found these deposits by polarized light microscopy being associated with benign breast lesions or lobular neoplasia in situ but with no invasive carcinoma.…”

Section: Introductionmentioning

confidence: 99%

Discrimination analysis of breast calcifications using x‐ray dark‐field radiography

et al. 2020

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Background: X-ray dark-field radiography could enhance mammography by providing more information on imaged tissue and microcalcifications. The dark field signal is a measure of small angle scattering and can thus provide additional information on the imaged materials. This information can be useful for material distinction of calcifications and the diagnosis of breast cancer by classifying benign and malign association of these calcifications. Methods: For this study, institutional review board approval was obtained. We present the evaluation of images acquired with interferometric grating-based x-ray imaging of 323 microcalcifications (166 malign and 157 benign associated) in freshly dissected breast tissue and compare the results to the information extracted in follow-up pathological evaluation. The number of imaged calcifications is sufficiently higher than in similar previous studies. Fourteen calcification properties were extracted from the digital images and used as predictors in three different models common in discrimination analysis namely a simple threshold model, a naive Bayes model and a linear regression model, which classify the calcifications as associated with a benign or suspicious finding. Three of these fourteen predictors have been newly defined in this work and are independent from the tissue background surrounding the microcalcifications. Using these predictors no background correction is needed, as in previous works in this field. The new predictors are the length of the first and second principle component of the absorption and dark-field data, as well as the angle between the first principle component and the dark-field axis. We called these predictors data length, data width, and data orientation. Results: In fourfold cross-validation malignancy of the imaged tissue was predicted. Models that take only classical absorption predictors into account reached a sensitivity of 53.3% at a specificity of 81.1%. For a combination of predictors that also include dark field information, a sensitivity of 63.2% and specificity of 80.8% were obtained. The included dark field information consisted of the newly introduced parameters, data orientation and data width. Conclusions: While remaining at a similar specificity, the sensitivity, with which a trained model was able to distinguish malign from benign associated calcifications, was increased by 10% on including dark-field information. This suggests grating-based x-ray imaging as a promising clinical

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“…compressed sensing [56], which have been developed to use increasingly less raw data. However, even with dose modeling capability within the imaged objects and simulation of the system response to the dose, there is still a shortage of full clinical implementation of such a technique to realize its advantages in clinical practice [57,58]. Furthermore, image quality improvements in terms of contrast enhancement with simultaneous noise reduction should be considered toward building a fully clinical prototype of a human scale phase-contrast imaging system and the framework presented in this study allows to predict the performance of reconstruction algorithms and such system.…”

Section: Discussionmentioning

confidence: 99%

Analytical reconstructions of intensity modulated x-ray phase-contrast imaging of human scale phantoms

Włodarczyk

Pietrzak

2015

Biomed. Opt. Express

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This paper presents analytical approach to modeling of a full planar and volumetric acquisition system with image reconstructions originated from partial illumination x-ray phase-contrast imaging at a human scale using graphics processor units. The model is based on x-ray tracing and wave optics methods to develop a numerical framework for predicting the performance of a preclinical phase-contrast imaging system of a human-scaled phantom. In this study, experimental images of simple numerical phantoms and high resolution anthropomorphic phantoms of head and thorax based on non-uniform rational b-spline shapes (NURBS) prove the correctness of the model. Presented results can be used to simulate the performance of partial illumination x-ray phase-contrast imaging system on various preclinical applications. (Wiley, New Jersey 2003). 2. T. Weitkamp, C. David, O. Bunk, J. Bruder, P. Cloetens, and F. Pfeiffer, "X-ray phase radiography and tomography of soft tissue using grating interferometry," Eur. J. Radiol. 68(3 Suppl), S13-S17 (2008). 3. S. A. Zhou and A. Brahme, "Development of phase-contrast x-ray imaging techniques and potential medical applications," Phys. Med. 24(3), 129-148 (2008). 4. C. Raven, A. Snigirev, I. Snigireva, P. Spanne, A. Souvorov, and V. Kohn, "Phase-contrast microtomography with coherent high-energy synchrotron X-rays," Appl. Phys. Lett. 69(13), 1826-1828 (1996). 5. F. Arfelli, M. Assante, V. Bonvicini, A. Bravin, G. Cantatore, E. Castelli, L. Dalla Palma, M. Di Michiel, R. ©2015 Optical Society of America References and links A. R. Webb, Introduction to Biomedical ImagingLongo, A. Olivo, S. Pani, D. Pontoni, P. Poropat, M. Prest, A. Rashevsky, G. Tromba, A. Vacchi, E. Vallazza, and F. Zanconati, "Low-dose phase contrast X-ray medical imaging," Phys. Med. Biol. 43(10), 2845-2852 (1998). 6. S. W. Wilkins, T. E. Gureyev, D. Gao, A. Pogany, and A. W. Stevenson, "Phase-contrast imaging using polychromatic hard X-rays," Nature 384(6607), 335-338 (1996). 7. D. Chapman, W. Thomlinson, R. E. Johnston, D. Washburn, E. Pisano, N. Gmür, Z. Zhong, R. Menk, F. Arfelli, and D. Sayers, "Diffraction enhanced x-ray imaging," Phys. Med. Biol. 42(11), 2015-2025 (1997). 8. A. Snigirev, I. Snigireva, V. Kohn, S. Kuznetsov, and I. Schelokov, "On the possibilities of x-ray phase contrast microimaging by coherent high-energy synchrotron radiation," Rev. Sci. Instrum. 66(12), 5486 (1995). 9. X. Wu and H. Liu, "Clarification of aspects in in-line phase-sensitive x-ray imaging," Med. Phys. 34(2), 737-743 (2007). 10. A. Momose, "Demonstration of phase-contrast X-ray computed tomography using an X-ray interferometer," Nucl. Instrum. Methods Phys.

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Towards the clinical application of X-ray phase contrast imaging

Cited by 20 publications

References 10 publications

Mammography with Synchrotron Radiation: First Clinical Experience with Phase-Detection Technique

Mammography with Synchrotron Radiation: First Clinical Experience with Phase-Detection Technique

Discrimination analysis of breast calcifications using x‐ray dark‐field radiography

Analytical reconstructions of intensity modulated x-ray phase-contrast imaging of human scale phantoms

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