Imaging has become an essential tool in modern radiotherapy (RT), being used to plan dose
delivery prior to treatment and verify target position before and during treatment. Ultrasound …

This paper presents a review of Tactile Sensing Systems, with an emphasis on their
application to the non-invasive characterization of tumors. Emulating the perceptual …

This paper introduces two real-time elastography techniques based on analytic minimization
(AM) of regularized cost functions. The first method (1D AM) produces axial strain and …

The recovery of morphologically accurate anatomical images from deformed ones is
challenging in ultrasound (US) image acquisition, but crucial to accurate and consistent …

A critical step in quasi-static ultrasound elastography is the estimation of time delay between
two frames of radio-frequency (RF) data that are obtained while the tissue is undergoing …

Mutual information (MI) has been widely used as a similarity measure for rigid registration of
multi-modal and uni-modal medical images. However, robust application of MI to deformable …

Deep learning is heavily being borrowed to solve problems in medical imaging applications,
and Siamese neural networks are the front runners of motion tracking. In this article, we …

Abstract Background and Objectives The application of intelligent imaging techniques and
deep learning in the field of computer-aided diagnosis and medical imaging have improved …

High-quality motion estimation is essential for ultrasound elastography (USE). Traditional
motion estimation algorithms based on speckle tracking such as normalized cross …

Objective. To assess skin elasticity in systemic sclerosis (SSc) by using a new imaging
modality, ultrasound elastography (UE). Methods. Our study included 18 consecutive …