Theoretically exact photoacoustic reconstruction from spatially and temporally reduced data

High-resolution helical cone-beam micro-CT with theoretically-exact reconstruction from experimental data.

PURPOSE In this paper we show that optimization-based autofocus may be used to overcome the instabilities that have, until now, made high-resolution theoretically-exact tomographic reconstruction impractical. To our knowledge, this represents the first successful use of theoretically-exact reconstruction in helical micro computed tomography (micro-CT) imaging. We show that autofocus-corrected, ...

Photoacoustic image reconstruction from few-detector and limited-angle data

Photoacoustic tomography (PAT) is an emerging non-invasive imaging technique with great potential for a wide range of biomedical imaging applications. However, the conventional PAT reconstruction algorithms often provide distorted images with strong artifacts in cases when the signals are collected from few measurements or over an aperture that does not enclose the object. In this work, we pres...

Image Reconstruction from Incomplete Data

Image Reconstruction from Incomplete Data

STCD: Models and Algorithms for Spatially and Temporally Correlated Data

Correlated data is a hot topic in many research fields. In fact, compression, detection, estimation, and transmission of correlated data arise in many practical applications, e.g., environmental monitoring, communication systems, image processing, etc. Identifying and properly managing such correlations may be important, especially when a very large amount of data, yet compressible, must be tra...