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NIRS can be extended to three-dimensional (3D) imaging with an image reconstruction algorithm if the tissue is probed with overlapping measurements of multiple source-to-detector separations [ 8].
The modules are connected to the COMPET data-acquisition chain and the reconstructed images are produced with the novel geometry-independent COMPET image reconstruction algorithm.
In addition, thin slices and sharper image reconstruction algorithm may help identify the fistula not obvious on thicker slices reconstructed with smoother algorithm.
A transmission-mode ultrasonic system for tomographic imaging of gas/liquid flow was designed based upon a fast binary back-projection image reconstruction algorithm.
Backprojection is an image reconstruction algorithm that is used in a number of applications, including medical imaging (computed axial tomography, or (CAT)) and synthetic aperture radar (SAR).
The second is the image reconstruction algorithm.
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As in conventional CT, a three dimensional representation of the object can be calculated also for dark-field and phase-contrast imaging, using tomographic image reconstruction algorithms.
Recent advances in CT imaging methodology and CT image reconstruction algorithms address many of these concerns.
Data were corrected for radiation-attenuation and scatter using transmission scans from Ge-68 rotating rod sources and reconstructed using measured-attenuation correction and image reconstruction algorithms specified for each scanner.
Likewise, much worthwhile research focused on the development of quantitative imaging protocols incorporating accurate data correction techniques and sophisticated image reconstruction algorithms.
Significant progress has been made in the design of high-resolution three-dimensional (3-D) PET units dedicated to brain research and the development of quantitative imaging protocols incorporating accurate image correction techniques and sophisticated image reconstruction algorithms.
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