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BRAIM: A computer-aided diagnosis system for neurodegenerative diseases and brain lesion monitoring from volumetric analyses

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BRAIM: A computer-aided diagnosis system for neurodegenerative diseases and brain lesion monitoring from volumetric analyses

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dc.contributor.author Morales, Sandra es_ES
dc.contributor.author Bernabeu-Sanz, Angela es_ES
dc.contributor.author López-Mir, Fernando es_ES
dc.contributor.author Gonzalez, Pablo es_ES
dc.contributor.author Luna, Luis es_ES
dc.contributor.author Naranjo Ornedo, Valeriana es_ES
dc.date.accessioned 2020-07-16T03:31:57Z
dc.date.available 2020-07-16T03:31:57Z
dc.date.issued 2017-07 es_ES
dc.identifier.issn 0169-2607 es_ES
dc.identifier.uri http://hdl.handle.net/10251/148100
dc.description.abstract [EN] Background and objective: This paper presents BRAIM, a computer-aided diagnosis (CAD) system to help clinicians in diagnosing and treatment monitoring of brain diseases from magnetic resonance image processing. BRAIM can be used for early diagnosis of neurodegenerative diseases such as Parkinson, Alzheimer or Multiple Sclerosis and also for brain lesion diagnosis and monitoring. Methods: The developed CAD system includes different user-friendly tools for segmenting and determining whole brain and brain structure volumes in an easy and accurate way. Specifically, three types of measurements can be performed: (1) total volume of white, gray matter and cerebrospinal fluid; (2) brain structure volumes (volume of putamen, thalamus, hippocampus and caudate nucleus); and (3) brain lesion volumes. Results: As a proof of concept, some study cases were analyzed with the presented system achieving promising results. In addition to be used to quantify treatment effectiveness in patients with brain lesions, it was demonstrated that BRAIM is able to classify a subject according to the brain volume measurements using as reference a healthy control database created for this purpose. Conclusions: The CAD system presented in this paper simplifies the daily work of clinicians and provides them with objective and quantitative volume data for prospective and retrospective analyses. (C) 2017 Elsevier B.V. All rights reserved. es_ES
dc.description.sponsorship This work has been supported by the Centro para el Desarrollo Tecnologico Industrial (CDTI) under the project BRAIM (IDI-20130020) es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Computer Methods and Programs in Biomedicine es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Magnetic resonance imaging es_ES
dc.subject Volumetric analysis es_ES
dc.subject CAD es_ES
dc.subject Brain segmentation es_ES
dc.subject Brain lesions es_ES
dc.subject.classification EXPRESION GRAFICA EN LA INGENIERIA es_ES
dc.subject.classification TEORIA DE LA SEÑAL Y COMUNICACIONES es_ES
dc.title BRAIM: A computer-aided diagnosis system for neurodegenerative diseases and brain lesion monitoring from volumetric analyses es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.cmpb.2017.04.006 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//IDI-20130020/ES/TÉCNICAS AVANZADAS DE IMAGEN MÉDICA PARA EL CEREBRO/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Interuniversitario de Investigación en Bioingeniería y Tecnología Orientada al Ser Humano - Institut Interuniversitari d'Investigació en Bioenginyeria i Tecnologia Orientada a l'Ésser Humà es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions es_ES
dc.description.bibliographicCitation Morales, S.; Bernabeu-Sanz, A.; López-Mir, F.; Gonzalez, P.; Luna, L.; Naranjo Ornedo, V. (2017). BRAIM: A computer-aided diagnosis system for neurodegenerative diseases and brain lesion monitoring from volumetric analyses. Computer Methods and Programs in Biomedicine. 145:167-179. https://doi.org/10.1016/j.cmpb.2017.04.006 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.cmpb.2017.04.006 es_ES
dc.description.upvformatpinicio 167 es_ES
dc.description.upvformatpfin 179 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 145 es_ES
dc.identifier.pmid 28552122 es_ES
dc.relation.pasarela S\336648 es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES


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