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Our second approach to 3-D snapshot imaging uses phase masks, rather than a microlens array, to encode volumetric information.
Learning these local features from a boundary representation (B-Rep) CAD model is challenging due to lack of volumetric information.
Moreover, the number of cells in the scaffold was quantitatively measured from the as-obtained volumetric information.
Encoding the volumetric information already in the design mesh drastically simplifies and speeds up the mesh generation process for simulation.
Unlike scanning microscopes, which collect volumetric information over time, 3-D snapshot microscopes can capture volumes at speeds limited only by the frame rate of the image sensor.
The aim of this work is to cope with the lack of volumetric information encountered in visually controlled mobile manipulation systems equipped with stereo or RGB-D cameras.
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The volumetric data obtained can provide potential information for computer-aided detection and diagnosis of breast lesions.
However, this approach has limitations in spatial resolution and image quality due to longer echo trains needed to fully encode the volumetric spatial information in the relatively short acquisition period dictated by T2*; the consequence is distortions and blurring on two of the 3D image axes, as well as a loss in signal-to-noise ratio (SNR).
The mass method uses volumetric, density information and a calibration phantom of hydroxyapatite to calculate the actual mass of the calcified plaques [ 14].
The following steps are important: workflow, volumetric visualisation, information extraction from multimodal imaging, quantitative surrogates, intelligent interpretation assistance and image-guided procedures.
Until three-dimensional X-ray breast imaging techniques become widely used, it is most practical to obtain volumetric density information from images produced by two-dimensional mammography systems.
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