Signal Processing and Feature Extraction in Markerless Telerehabilitation.

Telerehabilitation solutions are a concrete answer to many needs in the healthcare framework since they enable remote support for patients and foster continuity of care. This paper explores telerehabilitation using the ReMoVES system, a markerless approach that facilitates remote exercise guidance. Focusing on the sit-to-stand (STS) task, which is crucial for daily activities, this study employs the Microsoft Kinect sensor for human movement monitoring.

Quantification of ultrasound imaging in the staging of hepatic fibrosis.

Background: The need for a staging of hepatic fibrosis has become particularly urgent in the last few years in order to start new therapeutic treatments. The objective of this study is to identify ultrasound descriptors and achieve a staging of hepatic fibrosis with non-invasive, rapid and inexpensive methods, both as an alternative and a support to the ultrasound elastography examination.

Methods: This study evaluated 196 patients under treatment at the Alcohological Regional Center.

Multitemporal Volume Registration for the Analysis of Rheumatoid Arthritis Evolution in the Wrist.

This paper describes a method based on an automatic segmentation process to coregister carpal bones of the same patient imaged at different time points. A rigid registration was chosen to avoid artificial bone deformations and to allow finding eventual differences in the bone shape due to erosion, disease regression, or other eventual pathological signs. The actual registration step is performed on the basis of principal inertial axes of each carpal bone volume, as estimated from the inertia matrix.

Automatic MPST-cut for segmentation of carpal bones from MR volumes.

In the context of rheumatic diseases, several studies suggest that Magnetic Resonance Imaging (MRI) allows the detection of the three main signs of Rheumatoid Arthritis (RA) at higher sensitivities than available through conventional radiology. The rapid, accurate segmentation of bones is an essential preliminary step for quantitative diagnosis, erosion evaluation, and multi-temporal data fusion. In the present paper, a new, semi-automatic, 3D graph-based segmentation method to extract carpal bone data is proposed.