An improved ring removal procedure for in-line x-ray phase contrast tomography

The suppression of ring artifacts in x-ray computed tomography (CT) is a required step in practical applications; it can be addressed by introducing refined digital low pass filters within the reconstruction process. However, these filters may introduce additional ringing artifacts when simultaneously imaging pure phase objects and elements having a non-negligible absorption coefficient. Ringing originates at sharp interfaces, due to the truncation of spatial high frequencies, and severely affects qualitative and quantitative analysis of the reconstructed slices. In this work, we discuss the causes of ringing artifacts, and present a general compensation procedure to account for it. The proposed procedure has been tested with CT datasets of the mouse central nervous system acquired at different synchrotron radiation facilities. The results demonstrate that the proposed method compensates for ringing artifacts induced by low pass ring removal filters. The effectiveness of the ring suppression filters is not altered; the proposed method can thus be considered as a framework to improve the ring removal step, regardless of the specific filter adopted or the imaged sample.

[1]  W. Kalender,et al.  X-ray computed tomography , 2019, Machine Learning for Tomographic Imaging.

[2]  I. Manakov,et al.  Characterization of a sCMOS-based high-resolution imaging system. , 2017, Journal of synchrotron radiation.

[3]  P. Cloetens,et al.  X-Ray Phase Contrast Tomography Reveals Early Vascular Alterations and Neuronal Loss in a Multiple Sclerosis Model , 2017, Scientific Reports.

[4]  I. Bukreeva,et al.  Quantitative 3D investigation of Neuronal network in mouse spinal cord model , 2017, Scientific Reports.

[5]  Roberto Pugliese,et al.  SYRMEP Tomo Project: a graphical user interface for customizing CT reconstruction workflows , 2017, Advanced Structural and Chemical Imaging.

[6]  Alberto Bravin,et al.  Characterization of mouse spinal cord vascular network by means of synchrotron radiation X-ray phase contrast tomography. , 2016, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

[7]  Jan Sijbers,et al.  The ASTRA Toolbox: A platform for advanced algorithm development in electron tomography. , 2015, Ultramicroscopy.

[8]  M. Mastrogiacomo,et al.  Simultaneous submicrometric 3D imaging of the micro-vascular network and the neuronal system in a mouse spinal cord , 2014, Scientific Reports.

[9]  Roberto Pugliese,et al.  Effective implementation of ring artifacts removal filters for synchrotron radiation microtomographic images , 2013, 2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA).

[10]  Dean Chapman,et al.  Ring artifacts removal from synchrotron CT image slices , 2013 .

[11]  Emmanuel Brun,et al.  PyHST2: an hybrid distributed code for high speed tomographic reconstruction with iterative reconstruction and a priori knowledge capabilities , 2013, ArXiv.

[12]  Paola Coan,et al.  X-ray phase-contrast imaging: from pre-clinical applications towards clinics , 2013, Physics in medicine and biology.

[13]  Tina Wunderlich,et al.  Application of 2D Fourier filtering for elimination of stripe noise in side-scan sonar mosaics , 2012, Geo-Marine Letters.

[14]  Lucia Mancini,et al.  A comparative evaluation of ring artifacts reduction filters for X-ray computed microtomography images , 2011, 2011 18th IEEE International Conference on Image Processing.

[15]  R Schulze,et al.  Artefacts in CBCT: a review. , 2011, Dento maxillo facial radiology.

[16]  T. Weitkamp,et al.  ANKAphase: software for single-distance phase retrieval from inline X-ray phase-contrast radiographs. , 2011, Journal of synchrotron radiation.

[17]  Shu‐wen W. Chen,et al.  DeStripe: frequency-based algorithm for removing stripe noises from AFM images , 2011, BMC Structural Biology.

[18]  Rainer Raupach,et al.  Normalized metal artifact reduction (NMAR) in computed tomography. , 2010, Medical physics.

[19]  B. Münch,et al.  Stripe and ring artifact removal with combined wavelet--Fourier filtering. , 2009, Optics express.

[20]  Simon Henein,et al.  TOMCAT: A beamline for TOmographic Microscopy and Coherent rAdiology experimenTs , 2007 .

[21]  Lothar Spies,et al.  Metal artifact reduction in CT using tissue-class modeling and adaptive prefiltering. , 2006, Medical physics.

[22]  Julia F. Barrett,et al.  Artifacts in CT: recognition and avoidance. , 2004, Radiographics : a review publication of the Radiological Society of North America, Inc.

[23]  Jan Sijbers,et al.  Reduction of ring artefacts in high resolution micro-CT reconstructions. , 2004, Physics in medicine and biology.

[24]  T. Gureyev,et al.  Phase retrieval using coherent imaging systems with linear transfer functions , 2004 .

[25]  S. Wilkins,et al.  X-ray phase-contrast microscopy and microtomography. , 2003, Optics express.

[26]  Conall J Garvey,et al.  Computed tomography in clinical practice , 2002, BMJ : British Medical Journal.

[27]  S. Wilkins,et al.  Hard x-ray quantitative non-interferometric phase-contrast microscopy , 1999 .

[28]  Carsten Raven,et al.  Numerical removal of ring artifacts in microtomography , 1998 .

[29]  P. Cloetens,et al.  Phase objects in synchrotron radiation hard x-ray imaging , 1996 .

[30]  A. Snigirev,et al.  On the possibilities of x-ray phase contrast microimaging by coherent high-energy synchrotron radiation , 1995 .

[31]  D. Buren Fourier removal of stripe artifacts in IRAS images , 1987 .

[32]  Y. X. Wang,et al.  Nuclear Instruments and Methods in Physics Research Section B : Beam Interactions with Materials and Atoms , 2018 .

[33]  David J. S. Birch,et al.  Measurement Science and Technology at 2015 , 2013 .

[34]  Lucia Mancini,et al.  An improved method for ring artifacts removing in reconstructed tomographic images , 2009 .

[35]  P. Suetens,et al.  Metal streak artifacts in X-ray computed tomography: a simulation study , 1998, 1998 IEEE Nuclear Science Symposium Conference Record. 1998 IEEE Nuclear Science Symposium and Medical Imaging Conference (Cat. No.98CH36255).