Semantics-driven annotation of patient-specific 3D data: a step to assist diagnosis and treatment of rheumatoid arthritis

In the digital era, patient-specific 3D models (3D-PSMs) are becoming increasingly relevant in computer-assisted diagnosis, surgery training on digital models, or implant design. While advanced imaging and reconstruction techniques can create accurate and detailed 3D models of patients’ anatomy, software tools that are able to fully exploit the potential of 3D-PSMs are still far from being satisfactory. In particular, there is still a lack of integrated approaches for extracting, coding, sharing and retrieving medically relevant information from 3D-PSMs and use it concretely as a support to diagnosis and treatment. In this article, we propose the SemAnatomy3D framework, which demonstrates how the ontology-driven annotation of 3D-PSMs and of their anatomically relevant features (parts of relevance) can assist clinicians to document more effectively pathologies and their evolution. We exemplify the idea in the context of the diagnosis of rheumatoid arthritis of the hand district, and show how feature extraction tools and semantic 3D annotation can provide a rich characterization of anatomical landmarks (e.g., articular facets, prominent features, ligament attachments) and pathological markers (erosions, bone loss). The core contributions are an ontology-driven part-based annotation method for the 3D-PSMs and a novel automatic localization of erosion and quantification of the OMERACT RAMRIS erosion score. Finally, our results have been compared against a medical ground truth.     

High capacity reversible and secured data hiding in images using interpolation and difference expansion technique

Multimedia Tools and Applications - Data hiding is a noteworthy research topic in digital technology for years. Reversible data hiding (RDH) technique plays a vital role for confirming security of...     

Image feature based high capacity steganographic algorithm

Multimedia Tools and Applications - Steganography is the growing field of research, where hiding techniques are used to secure the communicative elements (e.g., images). In this paper, the message...     

Multiple video clips preservation using folded back audio-visual cryptography scheme

Science and technology devices pose new and vibrant solutions to the day to day problems faced by the Information Technology user society, data security issues are on the rise as well. Now-a-days security concerns are directly proportional with the steep hike in amount of data handled. The greatest threat comes from individuals who try to access information stored in servers or the cloud or any other location without authorised permission. Visual Cryptography is one of such schemes that involves securing ones information and so is Audio Cryptography. We hardly find any approach that takes into consideration both audio and image files. In our paper we present an algorithm that preserves multiple audio and image files of equal length which in turn can be extended to audio-video clips, naming it Audio-Visual Cryptography. These audio-video clips are broken into equal number of dependant share clips using Folded Back Audio-Visual Cryptography Scheme (FBAVCS) such that the decryption process includes basic logical operations between the corresponding pixels and samples, in case of image and audio respectively, of the successive shares.     

High capacity data hiding based on multi-directional pixel value differencing and decreased difference expansion

Multimedia Tools and Applications - Data hiding is an important research topic over the years. The PVD based techniques embed secret data into the cover image on the difference between the two...