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

Abstract

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.

X-ray phase contrast imaging model: application on tomography with a single 2D phase grating

“…We can then apply a propagator to each plane and thus describe the evolution of the wavefront from slice to slice. This multi-slice approach, first described by Hare and Morrison [10], has been applied to phase imaging on a digital human phantom by Wlodarczyk and Pietrak [11]. Sung et al [12] propose a different approach to multi-slicing, by spatially and angularly decomposing a finite X-ray source in multiple plane waves.…”

In Silico Phase-Contrast X-Ray Imaging of Anthropomorphic Voxel-Based Phantoms

“…When it comes to storing and representation, options are more limited. Most virtual models consist either of mathematically represented surfaces (e.g., non-uniform rational basis spline, NURBS) [23], [24] or more often as discretized volumes (e.g., based on polygon mesh or voxels). Voxel-based discretized models are the most common, partly due to their shared format with experimental data allowing similar processing.…”