DECODE cloud platform: A new cloud platform to combat the burden of peripheral artery disease

• Published in: 2022 Panhellenic Conference on Electronics & Telecommunications (PACET) pp. 1 - 6
• Main Authors: AboArab, Mohammed A., Potsika, Vassiliki T., Petrovic, Nikola, Fotiadis, Dimitrios I.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 02-12-2022
• Subjects: Arteries; Cloud platform; Django framework; Geometry; Machine learning; Peripheral artery disease; Program processors; Rendering (computer graphics); Telecommunications; Volume measurement
• DOI: 10.1109/PACET56979.2022.9976356

Peripheral artery disease (PAD) is one of the most common diseases worldwide, especially in Europe. According to the literature, about 202 million people suffer from PAD. Powerful computational tools have been developed to address the widespread research interest in the study of PAD from a technical point of view. However, the lack of resources, expertise, or time necessary to install and use command-line tools or to deal with large datasets is a major hurdle to overcome. Thus, fast, dependable, and powerful applications are required to help in the treatment of PAD. The aim of the DECODE project is to establish a drug-coated balloon (DCB) simulation and optimization system for the improved treatment of PAD. The DECODE platform will integrate the data module to upload/download data from the repository. The data processors can log into the platform to access the image data processing and reconstruction module to perform the following: filtering, volume rendering, segmentation, measurement, and comparison. Moreover, tools of computational modeling, and machine learning will be provided. Additionally, users working in drug materials can directly access the DCB's geometries and properties storage module to upload and update the platform with any new material for optimization purposes aiming to establish new knowledge in the treatment of PAD and enhance clinical decision-making.