نتایج جستجو برای: ccd based optical ct image reconstruction
تعداد نتایج: 3529095 فیلتر نتایج به سال:
This paper proposes an optical surface reconstruction method from multiview projectional data acquired by a multimodality imaging instrumentation. The technique is adapted for in vivo small animal imaging, specifically imaging of nude mouse in the case where the influence of CT radiation doses should be eliminated. Any potential point within the field-of-view (FOV) of a nude mouse is evaluated ...
In the past twenty years, CCD sensor technology has made significant progress in increasing resolution and improving low-light performance by hardware. However due to physical limits of the sensor design and fabrication, fill factor has become the bottle neck problem for improving quantum efficiency of CCD sensor in order to widen dynamic range of output image. In this paper we propose a novel ...
We present an efficient method for the reduction of model equations in the linearized diffuse optical tomography (DOT) problem. We first implement the maximum a posteriori (MAP) estimator and Tikhonov regularization, which are based on applying preconditioners to linear perturbation equations. For model reduction, the precondition is split into two parts: the principal components are consid...
Recent technology developments provide new solutions for high-resolution image acquisition for photogrammetric applications. These cameras are based on large CCD-matrices as well as CCD-line sensors and fulfill both: large field of view and high spatial resolution. Singleor multi-line cameras have been designed for spaceborne, airborne and terrestrial scanners to provide high-resolution wide an...
A simpliied color image formation model is used to construct an algorithm for image reconstruction from CCD sensors samples. The proposed method involves two successive steps. The rst is motivated by Cok's 1] template matching technique, while the second step uses steerable inverse diiusion in color. Classical linear signal processing techniques tend to over smooth the image and result in notic...
Computed tomography (CT) is widely used in medicine for diagnostics or for image-guided therapies, and is also popular in industrial applications for nondestructive testing. CT conventionally requires a large number of projections to produce volumetric images of a scanned object, because the conventional image reconstruction algorithm is based on filtered-backprojection. This requirement may re...
BACKGROUND The sparse CT (Computed Tomography), inspired by compressed sensing, means to introduce a prior information of image sparsity into CT reconstruction to reduce the input projections so as to reduce the potential threat of incremental X-ray dose to patients' health. Recently, many remarkable works were concentrated on the sparse CT reconstruction from sparse (limited-angle or few-view ...
Abstract In practical applications of tomographic imaging, there are often challenges for image reconstruction due to under-sampling and insufficient data. In computed tomography (CT), for example, image reconstruction from few views would enable rapid scanning with a reduced x-ray dose delivered to the patient. Limited-angle problems are also of practical significance in CT. In this work, we d...
In X-ray computed tomography (CT) iterative methods are more suitable for the reconstruction of images with high contrast and precision in noisy conditions and from a small number of projections. However, in practice, these methods are not widely used due to the high computational cost of their implementation. Nowadays technology provides the possibility to reduce effectively this drawback. It ...
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