normal 0 false false false en-us x-none ar-sa digital breast tomosynthesis (dbt) is a technology that creates three dimensional (3d) images of breast tissue. tomosynthesis mammography detects lesions that are not detectable with other imaging systems. if image reconstruction time is in the order of seconds, we can use tomosynthesis systems to perform tomosynthesis-guided interventional procedur...

We present an image reconstruction method for diffuse optical tomography (DOT) by using the sparsity regularization and expectation-maximization (EM) algorithm. Typical image reconstruction approaches in DOT employ Tikhonov-type regularization, which imposes restrictions on the L(2) norm of the optical properties (absorption/scattering coefficients). It tends to cause a blurring effect in the r...

Optic flow describes the apparent motion that is present in an image sequence. We show the feasibility of obtaining optic flow from dynamic properties of a sparse set of so called anchor points. Singular points of a Gaussian scale space image are identified as feasible anchor point candidates and analytical expressions describing their dynamic properties are presented. The advantage of approach...

The Project of 3D reconstruction of rectal wall structure aims at developing an analysis system to help surgeons cope with a large quantities of rectal ultrasound images, involving muscular layer detection, rectal tumor detection, and 3D reconstruction, etc. In the procedure of tumor detection, a traditional active contour model suffers some difficulties for finding the boundary of tumor when i...

The present paper, proposes an efficient denoising algorithm which works well for images corrupted with Gaussian and speckle noise. The denoising algorithm utilizes the alexander fractional integral filter which works by the construction of fractional masks window computed using alexander polynomial. Prior to the application of the designed filter, the corrupted image is decomposed using symlet...

This paper presents a method of reconstructing twodimensional images at varying spatial resolutions while preserving edge information and allowing for blurring. It is often the case that a user would like to zoom in on certain areas of an image. Such a zoom operation requires a reconstruction of the data to provide values at the resampled pixel locations. Standard reconstruction methods use a s...

The local structure of a suitably differentiable function can be described through it’s truncated Taylor series. Gaussian scale space theory is a sensible framework for calculating image derivatives or the coefficients of the Taylor series up to any order using the corresponding derivatives of the Gaussian kernel. Zero-crossings of invariant combinations of such regularised derivatives have suc...

-The perceived quality of images reconstructed from low bit rate compression is severely degraded by the appearance of transform coding artifacts. This paper proposes a method for producing higher quality reconstructed images based on a stochastic model for the image data. Quantization (scalar or vector) partitions the transform coefficient space and maps all points in a partition cell to a rep...