This work considers electrical impedance tomography imaging of the human head, with the
ultimate goal of locating and classifying a stroke in emergency care. One of the main …

In this work, we investigate a class of elliptic inverse problems and aim to simultaneously
recover multiple inhomogeneous inclusions arising from two different physical parameters …

A multitude of imaging and vision tasks have seen recently a major transformation by deep
learning methods and in particular by the application of convolutional neural networks …

Tikhonov regularization is a widely used technique in solving inverse problems that can
enforce prior properties on the desired solution. In this paper, we propose a Krylov subspace …

Quantitative photoacoustic tomography is an emerging imaging technique aimed at
estimating the distribution of optical parameters inside tissues from photoacoustic images …

An edge-guided TV p regularization is introduced to recover scattering and absorption
coefficients simultaneously in optical tomography, which combines the TV p minimizing …

Objective. Diffuse optical tomography (DOT) provides a relatively convenient method for
imaging haemodynamic changes related to neuronal activity on the cerebral cortex. Due to …

The position of the source-detector (SD) relative to an anomaly has an important influence
on the detection effect in non-invasive near-infrared spectroscopy-based methods. In this …

摘要基于近红外光谱法对组织内的异质体进行无创检测时光源+ 探测器.+ G
相对于异质体的位置对检测效果有着重要影响为实现对组织内异质体的快速定位该研究基于一 …

An inverse problem is defined as a problem that violates one of the classical criteria of a well
posed problem: a solution exists, is unique, and is continuous with respect to the data in …