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

Propagation-based phase-contrast X-ray imaging is an emerging technique that can improve dose efficiency in clinical imaging. In silico tools are key to understanding the fundamental imaging mechanisms and develop new applications. Here, due to the coherent nature of the phase-contrast effects, tools based on wave propagation (WP) are preferred over Monte Carlo (MC) based methods. WP simulations require very high wave-front sampling which typically limits simulations to small idealized objects. Virtual anthropomorphic voxel-based phantoms are typically provided with a resolution lower than imposed sampling requirements and, thus, cannot be directly translated for use in WP simulations. In the present paper we propose a general strategy to enable the use of these phantoms for WP simulations. The strategy is based on upsampling in the 3D domain followed by projection resulting in highresolution maps of the projected thickness for each phantom material. These maps can then be efficiently used for simulations of Fresnel diffraction to generate in silico phase-contrast X-ray images. We demonstrate the strategy on an anthropomorphic breast phantom to simulate propagation-based phase-contrast mammography using a laboratory micro-focus X-ray source.

[1]  Lynn Kissel,et al.  RTAB: the Rayleigh scattering database , 2000 .

[2]  W. Paul Segars,et al.  Realistic wave-optics simulation of X-ray phase-contrast imaging at a human scale , 2015, Scientific Reports.

[3]  S. Wilkins,et al.  Contrast and resolution in imaging with a microfocus x-ray source , 1997 .

[4]  Yakov I Nesterets,et al.  Some simple rules for contrast, signal-to-noise and resolution in in-line x-ray phase-contrast imaging. , 2008, Optics express.

[5]  J. Goodman Introduction to Fourier optics , 1969 .

[6]  Niels Kuster,et al.  MIDA: A Multimodal Imaging-Based Detailed Anatomical Model of the Human Head and Neck , 2015, PloS one.

[7]  Aldo Badano,et al.  Monte Carlo simulation of X-ray imaging using a graphics processing unit , 2009, 2009 IEEE Nuclear Science Symposium Conference Record (NSS/MIC).

[8]  E Castelli,et al.  Mammography with synchrotron radiation: phase-detection techniques. , 2000, Radiology.

[9]  W. Segars,et al.  4D XCAT phantom for multimodality imaging research. , 2010, Medical physics.

[10]  R D Speller,et al.  Low-dose phase contrast mammography with conventional x-ray sources. , 2013, Medical physics.

[11]  M. Stampanoni,et al.  Combining Monte Carlo methods with coherent wave optics for the simulation of phase-sensitive X-ray imaging , 2014, Journal of synchrotron radiation.

[12]  Kristina Bliznakova,et al.  A software platform for phase contrast x-ray breast imaging research , 2015, Comput. Biol. Medicine.

[13]  Anton Barty,et al.  The holographic twin image problem: a deterministic phase solution , 2000 .

[14]  Giovanni Mettivier,et al.  Quantitative characterization of breast tissues with dedicated CT imaging , 2019, Physics in medicine and biology.

[15]  Konstantins Jefimovs,et al.  Towards clinical grating-interferometry mammography , 2019, European Radiology.

[16]  Bartłomiej Włodarczyk,et al.  Analytical reconstructions of intensity modulated x-ray phase-contrast imaging of human scale phantoms. , 2015, Biomedical optics express.

[17]  C. David,et al.  The First Analysis and Clinical Evaluation of Native Breast Tissue Using Differential Phase-Contrast Mammography , 2011, Investigative radiology.

[18]  J. Sempau,et al.  PENELOPE-2006: A Code System for Monte Carlo Simulation of Electron and Photon Transport , 2009 .

[19]  S. Wilkins,et al.  Phase-contrast imaging using polychromatic hard X-rays , 1996, Nature.

[20]  A. Peele,et al.  Propagation-Based Phase-Contrast CT of the Breast Demonstrates Higher Quality Than Conventional Absorption-Based CT Even at Lower Radiation Dose. , 2020, Academic radiology.

[21]  Niels Kuster,et al.  Development of a new generation of high-resolution anatomical models for medical device evaluation: the Virtual Population 3.0 , 2014, Physics in medicine and biology.

[22]  V. Vlachoudis,et al.  The FLUKA Code: Developments and Challenges for High Energy and Medical Applications , 2014 .

[23]  Li Zhang,et al.  Implement X-ray refraction effect in Geant4 for phase contrast imaging , 2009, 2009 IEEE Nuclear Science Symposium Conference Record (NSS/MIC).

[24]  E Castelli,et al.  Low-dose phase contrast x-ray medical imaging. , 1998, Physics in medicine and biology.

[25]  Alessandro Olivo,et al.  Inclusion of coherence in Monte Carlo models for simulation of x-ray phase contrast imaging. , 2014, Optics express.

[26]  T. R. Fewell,et al.  Molybdenum, rhodium, and tungsten anode spectral models using interpolating polynomials with application to mammography. , 1997, Medical physics.

[27]  Ehsan Samei,et al.  Virtual clinical trials in medical imaging: a review , 2020, Journal of medical imaging.

[28]  Consumer Protection,et al.  European guidelines for quality assurance in breast cancer screening and diagnosis. Fourth edition--summary document. , 2008, Annals of oncology : official journal of the European Society for Medical Oncology.

[29]  P. C. Johns,et al.  X-ray characterisation of normal and neoplastic breast tissues. , 1987, Physics in medicine and biology.

[30]  Franz Pfeiffer,et al.  Fast one-dimensional wave-front propagation for x-ray differential phase-contrast imaging. , 2014, Biomedical optics express.

[31]  K K W Siu,et al.  The projection approximation and edge contrast for x-ray propagation-based phase contrast imaging of a cylindrical edge. , 2010, Optics express.

[32]  C. Schroer,et al.  Compact x-ray microradiograph for in situ imaging of solidification processes: bringing in situ x-ray micro-imaging from the synchrotron to the laboratory. , 2011, The Review of scientific instruments.

[33]  T E Gureyev,et al.  Quantitative X-ray projection microscopy: phase-contrast and multi-spectral imaging. , 2002, Journal of microscopy.

[34]  Akira Furukawa,et al.  The First Trial of Phase Contrast Imaging for Digital Full-Field Mammography Using a Practical Molybdenum X-Ray Tube , 2005, Investigative radiology.

[35]  Christian G. Graff,et al.  A new, open-source, multi-modality digital breast phantom , 2016, SPIE Medical Imaging.

[36]  A. Dell'Acqua,et al.  Geant4 - A simulation toolkit , 2003 .

[37]  Emilio Quaia,et al.  Mammography with synchrotron radiation: first clinical experience with phase-detection technique. , 2011, Radiology.

[38]  H M Hertz,et al.  X-ray phase contrast for CO2 microangiography , 2012, Physics in medicine and biology.

[39]  M Gambaccini,et al.  Mammography with synchrotron radiation. , 1995, Radiology.

[40]  Frank W. Samuelson,et al.  Evaluation of Digital Breast Tomosynthesis as Replacement of Full-Field Digital Mammography Using an In Silico Imaging Trial , 2018, JAMA network open.

[41]  Tokiko Endo,et al.  A Comparison between Film-Screen Mammography and Full-Field Digital Mammography Utilizing Phase Contrast Technology in Breast Cancer Screening Programs , 2008, Digital Mammography / IWDM.

[42]  David M. Paganin,et al.  The projection approximation versus an exact solution for X-ray phase contrast imaging, with a plane wave scattered by a dielectric cylinder , 2010 .