image reconstruction

Monitoring microwave thermal ablation using electrical impedance tomography: An experimental feasibility study

Low-cost and reliable methods for monitoring the size of the ablation zone during microwave thermal ablation (MTA) are crucial in the oncological clinical practice. The aim of this work is to test the performance of electrical impedance tomography (EIT) for the real-time monitoring of the ablation area where relevant temperature increases occur. In this work, two experimental studies were performed with a 16-electrode EIT system using a liver-mimicking agar phantom. First, an EIT system was tested to monitor the cooling of the phantom from an initial temperature of about 72°C.

Reconstruction of compressively sampled images using a nonlinear Bayesian prior

This paper presents a procedure for reconstruction of spatially localized images from compressively sampled measurements making use of Bayesian priors. The contribution of this paper is twofold: firstly, we analytically derive the expected value of wavelet domain signal structures conditional to a suitably defined noisy estimate; secondly, we exploit such conditional expectation within a nonlinear estimation stage that is added to an iterative reconstruction algorithm at a very low computational cost.

Variable tilt-angle, parallel-hole collimation system for high-resolution molecular imaging gamma tomosynthesis

Purpose: This study investigates a novel gamma tomosynthesis (GT) method based on a variable tilt-angle, parallel-hole collimator (VAPHC) which, mounting to a conventional gamma, is able to perform high-resolution three-dimensional imaging. Methods: The VAPHC has the remarkable feature to be modular, consisting of independent collimation elements able to tilt according to variable angles [?45° to +45°].

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