Diffraction-enhanced imaging (DEI) is a new x-ray imaging modality that has been shown to enhance contrast between normal and cancerous breast tissues. In this study, diffraction-enhanced imaging in computed tomography (DEI-CT) mode was used to quantitatively characterize the refraction contrasts of the organized structures associated with invasive human breast cancer. Using a high-sensitivity Si (3 3 3) reflection, the individual features of breast cancer, including masses, calcifications and spiculations, were observed. DEI-CT yields 14, 5 and 7 times higher CT numbers and 10, 9 and 6 times higher signal-to-noise ratios (SNR) for masses, calcifications and spiculations, respectively, as compared to conventional CT of the same specimen performed using the same detector, x-ray energy and dose. Furthermore, DEI-CT at ten times lower dose yields better SNR than conventional CT. In light of the recent development of a compact DEI prototype using an x-ray tube as its source, these results, acquired at a clinically relevant x-ray energy for which a pre-clinical DEI prototype currently exists, suggest the potential of clinical implementation of mammography with DEI-CT to provide high-contrast, high-resolution images of breast cancer (Parham 2006 PhD Dissertation University of North Carolina at Chapel Hill).
Diffraction enhanced imaging (DEI) uses monochromatic x-rays coupled to an analyzer crystal to extract information about the refraction of x-rays within the object. Studies of excised biological tissues show that DEI has significant contrast-to-noise ratio (CNR) advantages for soft tissue when compared to standard radiography. DEI differs from conventional CT in that its refraction contrast depends on x-ray energy as 1/E, thus the energy and dose considerations for conventional CT will be inappropriate. The goal of this study was to assess the optimal energy for in vivo CT imaging of a mouse head to obtain the largest soft tissue refraction CNR. Through a theoretical model, optimum refraction CNR for mouse brain imaging was found to be about 20 keV. The findings were tested experimentally using the DEI system at the X15A beamline of the National Synchrotron Light Source. Using the parameters for optimized refraction CNR (20 keV, silicon [333] reflection), large image artifacts were caused by DEI's scatter-rejection properties. By increasing the x-ray energy and using a lower order diffraction, silicon [111], soft tissue features within the brain, including the hippocampus, could be resolved.
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