1. Design and Development of a Medical Image Databank for Assisting Studies in Radiomics.
- Author
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Kundu, Surajit, Chakraborty, Santam, Mukhopadhyay, Jayanta, Das, Syamantak, Chatterjee, Sanjoy, Achari, Rimpa Basu, Mallick, Indranil, Das, Partha Pratim, Arunsingh, Moses, Bhattacharyyaa, Tapesh, and Ray, Soumendranath
- Subjects
DATABASE design ,HEAD & neck cancer ,LUNG tumors ,DICOM (Computer network protocol) ,BRAIN tumors ,DIAGNOSTIC imaging ,CANCER patients ,ACCESS to information ,PICTURE archiving & communication systems ,RADIOTHERAPY ,BREAST tumors ,ONCOLOGY ,SYSTEM integration ,CANCER patient medical care - Abstract
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. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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