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We reconstructed tomography images using a planar E-phantom consisting of an RSC circuit model with different set of values, which represents the resistance of extra-cellular (R), intra-cellular (S) and membrane capacitance (C) of the breast tissues to validate the performance of the system.
Reconstructed tomography images with density resolutions r.m.s. down to ~1% and spatial resolutions <1 mm, achieved within processing times of ~15′ for a 512×512 pixels image prove that this technique will be beneficial if used instead of X-CT in hadron-therapy.
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As a general-purpose language, Python is used in synchrotrons to control device servers [8, 15, 51], to access raw data of X-ray detectors [27], to reconstruct tomography volumes from radiographs [23, 32], and in data processing packages for macromolecular crystallography [3], azimuthal integration of diffraction data [4], or fluorescence analysis [50, 52].
The modalities tested were tuned-aperture computed tomography (TACT), iteratively reconstructed TACT, multidirectional tomography, linear tomography, and transverse panoramic tomography.
Fig. 2 a, b Computed tomography image showing the arc of Buhler Fig. 3 a c A three-dimensional reconstructed computed tomography image showing the arc of Buhler.
They are designed using reconstructed computed tomography (CT) data and produced out of pure titanium in a milling process.
The 3D microstructures of Ni/10ScSZ anodes are reconstructed using tomography through the focused ion beam and scanning electron microscopy (FIB-SEM) technique.
Three-dimensional (3D) reconstructed computed tomography (CT) is crucial for the reliable and accurate evaluation of tunnel enlargement after anterior cruciate ligament (ACL) reconstruction.
Novel techniques projecting reconstructed computed tomography (CT) data have shown benefit in the localisation of lymph nodes and planning of flaps [3, 4].
In order to characterize the mandibular 3D architecture of hemifacial microsomia, we analyzed the mandibular functional units of four hemifacial microsomia patients using the 3D reconstructed computed tomography (CT) images.
Orbicularis oculi muscle thickness and orbital fat prolapse length were measured using reconstructed computed tomography (CT) images.
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