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The first step that is required to extract the correct information from a two-dimensional (2D) diffraction signature is to remove the background accurately. However, direct background subtraction inevitably overcorrects the signal as it does not take into account the attenuation by the sample. Other traditional background removal methods, such as the rolling ball technique, can separate sharp diffraction peaks of crystalline materials from their background. These methods are unsuitable for biological tissue, which is amorphous and does not have sharp diffraction peaks. This technical note proposes a novel method that combines peak fitting and experimental results to estimate the background for 2D XRD signals.

A method for sample characterization using energy-dispersive X-ray diffraction computed tomography (EDXRDCT) is presented. The procedures for extracting diffraction patterns from the data and the corrections applied are discussed. The procedures were applied to the characterization of breast tissue samples, 6mm in diameter. Comparison with histological sections of the samples confirmed the possibility of grouping the patterns into five families, corresponding to adipose tissue, fibrosis, poorly differentiated cancer, well differentiated cancer and benign tumour., (Copyright 2010 Elsevier Ltd. All rights reserved.)

Identification of specific tissue types in conventional mammographic examinations is extremely limited. However, the use of x-ray diffraction effects during imaging has the potential to characterize the tissue types present due to the fact that each tissue type produces its own unique diffraction signature. Nevertheless, the analysis and categorization of these diffraction signatures by tissue type can be hampered by the inhomogeneous nature of breast tissue, leading to categorization errors where several types are present. This work aims to reduce sample categorization errors by combining spectral diffraction signature collection with sample imaging, giving more detailed data on the composition of each sample. Diffraction microCT was carried out on 19 unfixed breast tissue samples using an energy resolving translate-rotate CT system. High-resolution transmission microCT images were also recorded for comparison and sample composition analysis. Following imaging, the samples were subjected to histopathological analysis. Reconstructing on various momentum transfer regions allows different tissue types to be identified in the diffraction images. Results show a correlation between measured x-ray diffraction images and stained histopathological tissue sections. X-ray diffraction signatures generated from the measured data were categorized and analysed, with a t-test indicating that they have the potential for use in tissue type identification.

Energy dispersive X-ray diffraction is proposed as a suitable non-destructive method to rapidly identify illicit drugs in parcels. A preliminary data set of 7 illicit drug samples and a possible cutting agent has been collected with a range of count times using a tungsten target X-ray source, a high resolution HpGe detector and a variable geometry diffraction cell. These results have been used to calibrate and train multivariate analysis software to predict the drug content in previously unseen spectra.

Phase contrast (PC) imaging is one of the most exciting emerging x-ray imaging techniques, with the potential of removing some of the main limitations of conventional radiology. After extensive experimentation carried out particularly at synchrotron radiation (SR) facilities, the scientific community agrees that it is now time to translate these ideas towards the first clinical implementations. In this framework, a complete model, based on Fresnel/Kirchoff diffraction integrals, was devised. This model accounts for source dimensions, beam spectrum and divergence and detector point spread function (PSF), and can thus be applied to any x-ray imaging system. In particular, by accepting in input the above parameters along with the ones describing the sample, the model can be used to optimize the geometry of the set-up, i.e. to assess the source-to-sample and sample-to-detector distances which maximize feature detection. The model was evaluated by acquiring a range of images of different samples with a laboratory source, and a good agreement was found between simulated and experimental data in all cases. In order to maximize the generality of the results, all acquisitions were carried out using a polychromatic source and an energy-resolving detector; in this way, a range of monochromatic images could be obtained as well as polychromatic images, which can be created by integrating different parts of the acquired spectra. One of the most notable results obtained is that in many practical cases polychromatic PC imaging can provide the same image quality as its monochromatic counterpart. This is an important step in the wider application of PC using conventional sources.

Phantoms have been constructed to simulate trabecular bone mineral loss and cortical bone thinning which consist of a mixture of hydroxylapatite powder and animal fat in various quantities, surrounded by a varying thickness of dural sleeve. Energy dispersive X-ray diffraction (EDXRD) spectra have been recorded, and multivariate calibration has been performed on the spectra from the bone phantoms. The multivariate technique of partial least squares (PLS) was used to predict the hydroxylapatite content of the phantoms and the dural thickness for measurement times of 250, 50 and 5 s. The calibration phantoms consisted of 10 hydroxylapatite densities ranging from 0.5852 g cm-3 to 0.3703 g cm-3 representing a loss of hydroxylapatite of approx. 40% in 4% intervals. Each phantom had four dural sleeves of thickness 0.5, 1.0, 1.5 and 2.0 mm. Nine test phantoms were constructed with a range of densities that were inside the calibration range. For a measurement time of 250 s the average accuracy of prediction for hydroxylapatite content was approx. +/- 3% while for a measurement time of 5 s this fell to approx. +/- 8%. The dural thickness was predicted to within approx. +/- 0.25 mm for a measurement time of 250 s. The results show that multivariate calibration is a useful technique for obtaining quantitative data of a desired variable from EDXRD measurements which may otherwise be masked or corrupted by other variables.

This is the first reported use of low-angle X-ray scattering for the investigation of urinary calculi. Low-angle X-ray scattering (LAXS) measures the diffraction of a broad spectrum of X-rays at a single angle and uses a conventional diagnostic X-ray beam, and could thus be developed for use in vivo. A total of 45 calculi were investigated using this technique. Calcium oxalate stones showed a bimodal signature with peaks of almost even photon energies. Signatures for the other stone types were less well-defined. The results are discussed in more detail below. Our preliminary results show that the technique is capable of distinguishing between calcium oxalate stones and other stone types in vitro. Further work is in progress to correlate the results of this technique with objective parameters of stone hardness.

The aim of this paper is to apply the technique of quantitative x-ray diffraction analysis (QXDA) to trabecular bone tissue to demonstrate that quantitative data of the ratio of bone and marrow volumes within the trabecular region can be obtained. Apparatus has been constructed for measuring energy dispersive x-ray diffraction spectra of human femoral head samples in the diagnostic x-ray energy range. Individual diffraction peaks due to bone and marrow tissue were identified in the measured spectra. The relative intensities of the two peaks within the spectra quantify the relative proportions of the two components, and so the bone to marrow peak ratio is proposed as a parameter which is capable of providing information on the osteoporotic state of trabecular tissue. Preliminary results indicate a significant correlation between this method and the bone density measurement techniques of quantitative computed tomography and Compton scatter densitometry. Results have shown that the use of a synthetically prepared calibration curve can enable absolute measurement of bone or marrow volumes.

This work analyzes the performance of the coded-aperture based x-ray phase contrast imaging approach, showing that it can be used at high x-ray energies with acceptable exposure times. Due to limitations in the used source, we show images acquired at tube voltages of up to 100 kVp, however, no intrinsic reason indicates that the method could not be extended to even higher energies. In particular, we show quantitative agreement between the contrast extracted from the experimental x-ray images and the theoretical one, determined by the behavior of the material's refractive index as a function of energy. This proves that all energies in the used spectrum contribute to the image formation, and also that there are no additional factors affecting image contrast as the x-ray energy is increased. We also discuss the method flexibility by displaying and analyzing the first set of images obtained while varying the relative displacement between coded-aperture sets, which leads to image variations to some extent similar to those observed when changing the crystal angle in analyzer-based imaging. Finally, we discuss the method's possible advantages in terms of simplification of the set-up, scalability, reduced exposure times, and complete achromaticity. We believe this would helpful in applications requiring the imaging of highly absorbing samples, e.g., material science and security inspection, and, in the way of example, we demonstrate a possible application in the latter. [ABSTRACT FROM AUTHOR]

The Large Area Sensor (LAS) is a 1350 × 1350 array of active pixels on a 40ìm pitch fabricated in a 0.35ìm CMOS process. Stitching technology is employed to achieve an area of 5.4 cm × 5.4 cm. The sensor includes 'regions of reset', whereby three different integration times can be set on the array to achieve a large imaging range for static scenes. Characterization of the noise performance included temporal and fixed pattern sources. LAS was found to have a read noise of 62 e-, a full well capacity of 61 × 103 e- and a conversion gain of 5 e- per digital number (DN). The fixed pattern noise (FPN) was evaluated at half saturation; within a single stitched section of the array, column-to-column FPN was found to be 0.6%, while the pixel-to-pixel FPN was 3%. Both FPN sources were found to be gain related and could be corrected via flat fielding. Based on the results of characterization, LAS was coupled to a structured CsI:Tl scintillator and included in an X-ray diffraction system developed for the analysis of breast biopsy samples. Data acquired with plastic test objects agrees with that acquired by a previous prototype sensor. It is demonstrated that an imaging output range of 140 dB can be achieved using integration times of 0.1 ms to record the transmitted X-ray beam and 2.3 s to record the lower intensity scattered radiation. [ABSTRACT FROM AUTHOR]