Low-cost portable system for medical image visualization
Nowadays, medical images are a fundamental tool for the diagnosis and treatment of many diseases and ailments, thus requiring a considerable computational infrastructure, consisting of hardware and software; in hardwarese requires a processor of the latest generation accompanied by a graphic processing unit, which helps the visualization of the images. In relation to the necessary software, computer programs are required that can read, process and visualize the images in DICOM format, which is the standard format. In this work describe the use and exploitation of the Nvidia Tegra K1 development unit, being an embedded device with high computational capacity because it has a CPU and a GPU, which allows to work with different applications for the visualization of DICOM images, the present the configuration of the device as an integrated unit, The device can be used as a portable workstation, which would allow to perform field work in areas where there is no access to a health center, where health personnel can visit patients, which helps to diagnose and provide health services in remote populations. The device can perform multiple functionalities, depending on the program to be worked.
Authors
- Kitty Urbano (ORCID: https://orcid.org/0000-0003-2009-000X)
- Wilver Auccahuasi (ORCID: https://orcid.org/0000-0001-8820-4013)
- Ana Gonzales-Flores
- Daniel Yucra-Sotomayor
- Ismael Junco-Quijandria
- Mariana Campos-Sobrino
Institutions
- Federico Villarreal National University (PE)
- Universidad Científica del Sur (PE)
- Private University of the North (PE)
- Universidad Autónoma de Ica
- National University of Engineering (PE)
Publication Details
- Published
- 2024-10-23
- DOI
- https://doi.org/10.1109/icssas64001.2024.10760679
- Citations
- 1
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.35