Publicação
Medical imaging compression for high-performance storage systems
| Resumo: | Information systems and the medical subject are two widespread topics that have interwoven so that medical help could become more efficient. This relation has bred the PACS and the international standard DICOM directed to the organization of digital medical information. The concept of image compression is applied to most images throughout the web. The compression formats used for medical imaging have become outdated. The new formats that have been developed in the past few years are candidates for replacing the old ones in such contexts, possibly enhancing the process. Before they are adopted, an evaluation should be carried out that validates their admissibility. This dissertation reviews the state of the art of medical imaging information systems, namely PACS systems and the DICOM standard. Furthermore, some topics of image compression are covered, such as the metrics for evaluating the algorithms’ performance, finalizing with a survey of four modern formats: JPEG XL, AVIF, and WebP. Two software projects were developed, where the first one carries out an analysis of the formats based on the metrics, using DICOM datasets and producing results that can be used for creating recommendations on the format’s use. The second consists of an application that encodes and decodes medical images with the formats covered in this dissertation. This proof-of-concept works as a medical imaging archive for the storage, distribution, and visualization of compressed data. |
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| Autores principais: | Almeida, André Ribeiro |
| Assunto: | Digital imaging Medical imaging Image compression Image file format Metrics DICOM PACS JPEG XL AVIF WebP Image quality |
| Ano: | 2022 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade de Aveiro |
| Idioma: | inglês |
| Origem: | RIA - Repositório Institucional da Universidade de Aveiro |
| Resumo: | Information systems and the medical subject are two widespread topics that have interwoven so that medical help could become more efficient. This relation has bred the PACS and the international standard DICOM directed to the organization of digital medical information. The concept of image compression is applied to most images throughout the web. The compression formats used for medical imaging have become outdated. The new formats that have been developed in the past few years are candidates for replacing the old ones in such contexts, possibly enhancing the process. Before they are adopted, an evaluation should be carried out that validates their admissibility. This dissertation reviews the state of the art of medical imaging information systems, namely PACS systems and the DICOM standard. Furthermore, some topics of image compression are covered, such as the metrics for evaluating the algorithms’ performance, finalizing with a survey of four modern formats: JPEG XL, AVIF, and WebP. Two software projects were developed, where the first one carries out an analysis of the formats based on the metrics, using DICOM datasets and producing results that can be used for creating recommendations on the format’s use. The second consists of an application that encodes and decodes medical images with the formats covered in this dissertation. This proof-of-concept works as a medical imaging archive for the storage, distribution, and visualization of compressed data. |
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