Vectorial tomography--I. Theory

Segmentation of Multimodality Osteosarcoma MRI with Vectorial Fuzzy-Connectedness Theory

This paper illustrates an algorithm for osteosarcoma segmentation, using vectorial fuzzy-connectedness segmentation, and coming up with a methodology which can be used to segment some distinct tissues of osteosarcoma such as tumor, necrosis and parosteal sarcoma from 3D vectorial images. However, fuzzy-connectedness segmentation can be successfully used only in connected regions. In this paper,...

Robot Motion Vision Pait I: Theory

A direct method called fixation is introduced for solving the general motion vision problem, arbitrary motion relative to an arbitrary environment. This method results in a linear constraint equation which explicitly expresses the rotational velocity in terms of the translational velocity. The combination of this constraint equation with the Brightness-Change Constraint Equation solves the gene...

Reconstruction of scalar and vectorial components in X-ray dark-field tomography.

Grating-based X-ray dark-field imaging is a novel technique for obtaining image contrast for object structures at size scales below setup resolution. Such an approach appears particularly beneficial for medical imaging and nondestructive testing. It has already been shown that the dark-field signal depends on the direction of observation. However, up to now, algorithms for fully recovering the ...

I : Theory

Inverse Transport Theory and Tomography

S (in alphabetic order by speaker surname) Speaker: Alexandre Boukhgueim (Wichita State University) Title: Some Tomography Problems on the Plane Abstract: The purpose of this talk is to provide an overview of basic analytic and numerical tools for solving inverse two-dimensional problems for the transport equation and elliptic equations that were developed in last several years. In particular w...