Integration of a web-based Magnetic Resonance Imaging visualization tool

This thesis explores the integration of a web-based MRI visualization tool, MRIViewer, into the AI-Epilepsy platform to enhance the diagnosis of refractory epilepsy. The project focuses on creating a seamless and user-friendly experience for medical professionals. Key success criteria include displa...

Full description

Autores:
Granada Martínez, Diego
Tipo de recurso:
Trabajo de grado de pregrado
Fecha de publicación:
2024
Institución:
Universidad de los Andes
Repositorio:
Séneca: repositorio Uniandes
Idioma:
eng
OAI Identifier:
oai:repositorio.uniandes.edu.co:1992/73958
Acceso en línea:
https://hdl.handle.net/1992/73958
Palabra clave:
Mri
react
dicom
visualization
Ingeniería
Rights
openAccess
License
Attribution 4.0 International
id UNIANDES2_a4c3abf30fc0c82f1aa2575d135afc1a
oai_identifier_str oai:repositorio.uniandes.edu.co:1992/73958
network_acronym_str UNIANDES2
network_name_str Séneca: repositorio Uniandes
repository_id_str
dc.title.none.fl_str_mv Integration of a web-based Magnetic Resonance Imaging visualization tool
title Integration of a web-based Magnetic Resonance Imaging visualization tool
spellingShingle Integration of a web-based Magnetic Resonance Imaging visualization tool
Mri
react
dicom
visualization
Ingeniería
title_short Integration of a web-based Magnetic Resonance Imaging visualization tool
title_full Integration of a web-based Magnetic Resonance Imaging visualization tool
title_fullStr Integration of a web-based Magnetic Resonance Imaging visualization tool
title_full_unstemmed Integration of a web-based Magnetic Resonance Imaging visualization tool
title_sort Integration of a web-based Magnetic Resonance Imaging visualization tool
dc.creator.fl_str_mv Granada Martínez, Diego
dc.contributor.advisor.none.fl_str_mv Garcés Pernett, Kelly Johany
Duitama Castellanos, Jorge Alexander
dc.contributor.author.none.fl_str_mv Granada Martínez, Diego
dc.subject.keyword.none.fl_str_mv Mri
react
dicom
topic Mri
react
dicom
visualization
Ingeniería
dc.subject.keyword.eng.fl_str_mv visualization
dc.subject.themes.spa.fl_str_mv Ingeniería
description This thesis explores the integration of a web-based MRI visualization tool, MRIViewer, into the AI-Epilepsy platform to enhance the diagnosis of refractory epilepsy. The project focuses on creating a seamless and user-friendly experience for medical professionals. Key success criteria include displaying continuous series of DICOM files, remote image loading and support for switching between multiple axes. The chosen solution, MRIViewer, is a modern React-based tool with Apache 2.0 licensing and features necessary for the project. The development methodology involves non-destructive changes to the existing codebase, ensuring compatibility with AI-Epilepsy’s technology stack. The prototype phase included transforming MRIViewer into a portable React component, creating a backend prototype for image downloading, and successful integration into the AI-Epilepsy platform. While primary requirements have been met, future improvements such as displaying multiple series simultaneously, annotating images with persistence, addressing flickering issues, and enhancing the user interface are changes identified for further development.
publishDate 2024
dc.date.accessioned.none.fl_str_mv 2024-02-08T16:39:56Z
dc.date.available.none.fl_str_mv 2024-02-08T16:39:56Z
dc.date.issued.none.fl_str_mv 2024-02-07
dc.type.none.fl_str_mv Trabajo de grado - Pregrado
dc.type.driver.none.fl_str_mv info:eu-repo/semantics/bachelorThesis
dc.type.version.none.fl_str_mv info:eu-repo/semantics/acceptedVersion
dc.type.coar.none.fl_str_mv http://purl.org/coar/resource_type/c_7a1f
dc.type.content.none.fl_str_mv Text
dc.type.redcol.none.fl_str_mv http://purl.org/redcol/resource_type/TP
format http://purl.org/coar/resource_type/c_7a1f
status_str acceptedVersion
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/1992/73958
dc.identifier.instname.none.fl_str_mv instname:Universidad de los Andes
dc.identifier.reponame.none.fl_str_mv reponame:Repositorio Institucional Séneca
dc.identifier.repourl.none.fl_str_mv repourl:https://repositorio.uniandes.edu.co/
url https://hdl.handle.net/1992/73958
identifier_str_mv instname:Universidad de los Andes
reponame:Repositorio Institucional Séneca
repourl:https://repositorio.uniandes.edu.co/
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.references.none.fl_str_mv Andersen, L. S. (n.d.). Magnetic Resonance explained. Retrieved September 4, 2023, from https://www.drcmr.dk/MR
Engel, J. (2014). Approaches to refractory epilepsy. Annals of Indian Academy of Neurology, 17(Suppl 1), S12–S17. https://doi.org/10.4103/0972-2327.128644
EPAM. (2023). MRI Viewer: Medical image 2D/3D web viewer. [original-date: 2017-12-11T09:06:58Z]. Retrieved September 6, 2023, from https://github.com/epam/mriviewer
Innolitics. (2023). Study ID Attribute – DICOM Standard Browser. Retrieved November 7,2023, from https://dicom.innolitics.com/ciods/mr-image/general-study/00200010
John Hopkins. (2023). Magnetic Resonance Imaging (MRI). Retrieved September 4, 2023, from https://www.hopkinsmedicine.org/health/treatment-tests-and-therapies/magnetic-resonance-imaging-mri
Larobina, M., & Murino, L. (2014). Medical Image File Formats. Journal of Digital Imaging, 27(2), 200–206. https://doi.org/10.1007/s10278-013-9657-9
Mount Sinai. (n.d.). Epilepsy - overview Information | Mount Sinai - New York. Retrieved September 4, 2023, from https://www.mountsinai.org/health-library/diseases-conditions/epilepsy-overview
Nishimura, D. G. (2010). Principles of Magnetic Resonance Imaging. Stanford Univ. https://www.amazon.com/Principles-Magnetic-Resonance-Imaging-Nishimura/dp/B0006S4BE2
Padmanaban, S., Thiruvenkadam, K., T., P., Thirumalaiselvi, M., & Sivasakthivel, R. (2020). A Role of Medical Imaging Techniques in Human Brain Tumor Treatment. 8, 565–568. https://doi.org/10.35940/ijrte.D1105.1284S219
Real Engineering. (2023). The Insane Engineering of MRI Machines. Retrieved September 4, 2023, from https://www.youtube.com/watch?v=NlYXqRG7lus
RII-Mango. (2023). Daikon [original-date: 2015-03-10T18:44:03Z]. Retrieved August 16, 2023, from https://github.com/rii-mango/Daikon
Sinai, M. (n.d.). Seizures Information | Mount Sinai - New York. Retrieved September 2, 2023, from https://www.mountsinai.org/health-library/symptoms/seizures
Slice:Drop. (2023). Slice:Drop. Retrieved August 12, 2023, from https://slicedrop.com/
The X Toolkit Developers. (2023). GitHub - xtk/X: The X Toolkit. Retrieved August 12, 2023, from https://github.com/xtk/X#readme
WHO. (2023). Epilepsy. Retrieved September 4, 2023, from https://www.who.int/news-room/fact-sheets/detail/epilepsy
dc.rights.en.fl_str_mv Attribution 4.0 International
dc.rights.uri.none.fl_str_mv http://creativecommons.org/licenses/by/4.0/
dc.rights.accessrights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.coar.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
rights_invalid_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.extent.none.fl_str_mv 37 páginas
dc.format.mimetype.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidad de los Andes
dc.publisher.program.none.fl_str_mv Ingeniería de Sistemas y Computación
dc.publisher.faculty.none.fl_str_mv Facultad de Ingeniería
dc.publisher.department.none.fl_str_mv Departamento de Ingeniería Sistemas y Computación
publisher.none.fl_str_mv Universidad de los Andes
institution Universidad de los Andes
bitstream.url.fl_str_mv https://repositorio.uniandes.edu.co/bitstreams/8fe6f1b8-db18-4349-8717-439e58383c7b/download
https://repositorio.uniandes.edu.co/bitstreams/fba0c029-9d02-4270-a0c1-62c6e2c9bb1c/download
https://repositorio.uniandes.edu.co/bitstreams/e24481b2-2c59-424e-b0fc-7096333e5b7b/download
https://repositorio.uniandes.edu.co/bitstreams/e1d6beb4-2bc0-419d-b42a-b04519dbbcf3/download
https://repositorio.uniandes.edu.co/bitstreams/34086a27-7284-4b14-bedf-4fde3edf24c9/download
https://repositorio.uniandes.edu.co/bitstreams/1590aa11-cc36-4f9f-877e-ad3bb38fc8d9/download
https://repositorio.uniandes.edu.co/bitstreams/9446e245-4ae4-4416-8799-f5f2f71f95ce/download
https://repositorio.uniandes.edu.co/bitstreams/577ad065-7981-43cb-93ea-c97b8f389e8f/download
bitstream.checksum.fl_str_mv 9e98cd923f06097b3433ecd4cc40a747
98c17f1a5101eaf6ecfd4a509a44b240
0175ea4a2d4caec4bbcc37e300941108
ae9e573a68e7f92501b6913cc846c39f
6b0b00ebeac50cc7f9886e662e0fcc1e
1fdd7370dd4556e8a4a2487045855e2d
2401ca849ac974b6352dfb5974444179
21c4e1ee9b24f9c2e92e0a517a08354d
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
MD5
MD5
MD5
MD5
MD5
repository.name.fl_str_mv Repositorio institucional Séneca
repository.mail.fl_str_mv adminrepositorio@uniandes.edu.co
_version_ 1808390389170700288
spelling Garcés Pernett, Kelly Johanyvirtual::410-1Duitama Castellanos, Jorge Alexandervirtual::415-1Granada Martínez, Diego2024-02-08T16:39:56Z2024-02-08T16:39:56Z2024-02-07https://hdl.handle.net/1992/73958instname:Universidad de los Andesreponame:Repositorio Institucional Sénecarepourl:https://repositorio.uniandes.edu.co/This thesis explores the integration of a web-based MRI visualization tool, MRIViewer, into the AI-Epilepsy platform to enhance the diagnosis of refractory epilepsy. The project focuses on creating a seamless and user-friendly experience for medical professionals. Key success criteria include displaying continuous series of DICOM files, remote image loading and support for switching between multiple axes. The chosen solution, MRIViewer, is a modern React-based tool with Apache 2.0 licensing and features necessary for the project. The development methodology involves non-destructive changes to the existing codebase, ensuring compatibility with AI-Epilepsy’s technology stack. The prototype phase included transforming MRIViewer into a portable React component, creating a backend prototype for image downloading, and successful integration into the AI-Epilepsy platform. While primary requirements have been met, future improvements such as displaying multiple series simultaneously, annotating images with persistence, addressing flickering issues, and enhancing the user interface are changes identified for further development.Ingeniero de Sistemas y ComputaciónPregrado37 páginasapplication/pdfengUniversidad de los AndesIngeniería de Sistemas y ComputaciónFacultad de IngenieríaDepartamento de Ingeniería Sistemas y ComputaciónAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Integration of a web-based Magnetic Resonance Imaging visualization toolTrabajo de grado - Pregradoinfo:eu-repo/semantics/bachelorThesisinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_7a1fTexthttp://purl.org/redcol/resource_type/TPMrireactdicomvisualizationIngenieríaAndersen, L. S. (n.d.). Magnetic Resonance explained. Retrieved September 4, 2023, from https://www.drcmr.dk/MREngel, J. (2014). Approaches to refractory epilepsy. Annals of Indian Academy of Neurology, 17(Suppl 1), S12–S17. https://doi.org/10.4103/0972-2327.128644EPAM. (2023). MRI Viewer: Medical image 2D/3D web viewer. [original-date: 2017-12-11T09:06:58Z]. Retrieved September 6, 2023, from https://github.com/epam/mriviewerInnolitics. (2023). Study ID Attribute – DICOM Standard Browser. Retrieved November 7,2023, from https://dicom.innolitics.com/ciods/mr-image/general-study/00200010John Hopkins. (2023). Magnetic Resonance Imaging (MRI). Retrieved September 4, 2023, from https://www.hopkinsmedicine.org/health/treatment-tests-and-therapies/magnetic-resonance-imaging-mriLarobina, M., & Murino, L. (2014). Medical Image File Formats. Journal of Digital Imaging, 27(2), 200–206. https://doi.org/10.1007/s10278-013-9657-9Mount Sinai. (n.d.). Epilepsy - overview Information | Mount Sinai - New York. Retrieved September 4, 2023, from https://www.mountsinai.org/health-library/diseases-conditions/epilepsy-overviewNishimura, D. G. (2010). Principles of Magnetic Resonance Imaging. Stanford Univ. https://www.amazon.com/Principles-Magnetic-Resonance-Imaging-Nishimura/dp/B0006S4BE2Padmanaban, S., Thiruvenkadam, K., T., P., Thirumalaiselvi, M., & Sivasakthivel, R. (2020). A Role of Medical Imaging Techniques in Human Brain Tumor Treatment. 8, 565–568. https://doi.org/10.35940/ijrte.D1105.1284S219Real Engineering. (2023). The Insane Engineering of MRI Machines. Retrieved September 4, 2023, from https://www.youtube.com/watch?v=NlYXqRG7lusRII-Mango. (2023). Daikon [original-date: 2015-03-10T18:44:03Z]. Retrieved August 16, 2023, from https://github.com/rii-mango/DaikonSinai, M. (n.d.). Seizures Information | Mount Sinai - New York. Retrieved September 2, 2023, from https://www.mountsinai.org/health-library/symptoms/seizuresSlice:Drop. (2023). Slice:Drop. Retrieved August 12, 2023, from https://slicedrop.com/The X Toolkit Developers. (2023). GitHub - xtk/X: The X Toolkit. Retrieved August 12, 2023, from https://github.com/xtk/X#readmeWHO. (2023). Epilepsy. Retrieved September 4, 2023, from https://www.who.int/news-room/fact-sheets/detail/epilepsy201922383Publicationab8c0b16-6781-46f2-8520-03295a94d16dvirtual::410-107e4ae59-26ee-4988-9701-129fa965d270virtual::415-1ab8c0b16-6781-46f2-8520-03295a94d16dvirtual::410-107e4ae59-26ee-4988-9701-129fa965d270virtual::415-1https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001402558virtual::410-1ORIGINALIntegration of a web-based Magnetic Resonance Imaging visualization tool.pdfIntegration of a web-based Magnetic Resonance Imaging visualization tool.pdfapplication/pdf3257805https://repositorio.uniandes.edu.co/bitstreams/8fe6f1b8-db18-4349-8717-439e58383c7b/download9e98cd923f06097b3433ecd4cc40a747MD51AutorizacionTesisDiegoGranadaKG_JD.pdfAutorizacionTesisDiegoGranadaKG_JD.pdfHIDEapplication/pdf176101https://repositorio.uniandes.edu.co/bitstreams/fba0c029-9d02-4270-a0c1-62c6e2c9bb1c/download98c17f1a5101eaf6ecfd4a509a44b240MD55CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8908https://repositorio.uniandes.edu.co/bitstreams/e24481b2-2c59-424e-b0fc-7096333e5b7b/download0175ea4a2d4caec4bbcc37e300941108MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-82535https://repositorio.uniandes.edu.co/bitstreams/e1d6beb4-2bc0-419d-b42a-b04519dbbcf3/downloadae9e573a68e7f92501b6913cc846c39fMD53TEXTIntegration of a web-based Magnetic Resonance Imaging visualization tool.pdf.txtIntegration of a web-based Magnetic Resonance Imaging visualization tool.pdf.txtExtracted texttext/plain58770https://repositorio.uniandes.edu.co/bitstreams/34086a27-7284-4b14-bedf-4fde3edf24c9/download6b0b00ebeac50cc7f9886e662e0fcc1eMD56AutorizacionTesisDiegoGranadaKG_JD.pdf.txtAutorizacionTesisDiegoGranadaKG_JD.pdf.txtExtracted texttext/plain1676https://repositorio.uniandes.edu.co/bitstreams/1590aa11-cc36-4f9f-877e-ad3bb38fc8d9/download1fdd7370dd4556e8a4a2487045855e2dMD58THUMBNAILIntegration of a web-based Magnetic Resonance Imaging visualization tool.pdf.jpgIntegration of a web-based Magnetic Resonance Imaging visualization tool.pdf.jpgGenerated Thumbnailimage/jpeg8792https://repositorio.uniandes.edu.co/bitstreams/9446e245-4ae4-4416-8799-f5f2f71f95ce/download2401ca849ac974b6352dfb5974444179MD57AutorizacionTesisDiegoGranadaKG_JD.pdf.jpgAutorizacionTesisDiegoGranadaKG_JD.pdf.jpgGenerated Thumbnailimage/jpeg11579https://repositorio.uniandes.edu.co/bitstreams/577ad065-7981-43cb-93ea-c97b8f389e8f/download21c4e1ee9b24f9c2e92e0a517a08354dMD591992/73958oai:repositorio.uniandes.edu.co:1992/739582024-02-16 15:14:48.209http://creativecommons.org/licenses/by/4.0/Attribution 4.0 Internationalopen.accesshttps://repositorio.uniandes.edu.coRepositorio institucional Sénecaadminrepositorio@uniandes.edu.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