Design and Development of a Medical Image Databank for Assisting Studies in Radiomics

CompreHensive Digital ArchiVe of Cancer Imaging - Radiation Oncology (CHAVI-RO) is a multi-tier WEB-based medical image databank. It supports archiving de-identified radiological and clinical datasets in a relational database. A semantic relational database model is designed to accommodate imaging and treatment data of cancer patients. It aims to provide key datasets to investigate and model the use of radiological imaging data in response to radiation. This domain of research area addresses the modeling and analysis of complete treatment data of oncology patient. A DICOM viewer is integrated for reviewing the uploaded de-identified DICOM dataset. In a prototype system we carried out a pilot study with cancer data of four diseased sites, namely breast, head and neck, brain, and lung cancers. The representative dataset is used to estimate the data size of the patient. A role-based access control module is integrated with the image databank to restrict the user access limit. We also perform different types of load tests to analyze and quantify the performance of the CHAVI databank.

Automated summary

CHAVI-RO is a multi-tier WEB-based medical image databank designed to archive radiological and clinical datasets for research purposes. The database model accommodates imaging and treatment data of cancer patients, with integrated DICOM viewer and role-based access control module to enhance performance. Load tests are also performed to analyze and quantify the database's efficiency.