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Parallel CT Reconstruction for Multiple Slices Studies with SuiteSparseQR Factorization Package

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Parallel CT Reconstruction for Multiple Slices Studies with SuiteSparseQR Factorization Package

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dc.contributor.author CHILLARÓN-PÉREZ, MÓNICA es_ES
dc.contributor.author Vidal-Gimeno, Vicente-Emilio es_ES
dc.contributor.author Verdú Martín, Gumersindo Jesús es_ES
dc.date.accessioned 2022-01-19T09:17:19Z
dc.date.available 2022-01-19T09:17:19Z
dc.date.issued 2019-06-14 es_ES
dc.identifier.isbn 978-3-030-22734-0 es_ES
dc.identifier.issn 0302-9743 es_ES
dc.identifier.uri http://hdl.handle.net/10251/179918
dc.description.abstract [EN] Algebraic factorization methods applied to the discipline of Computerized Tomography (CT) Medical Imaging Reconstruction involve a high computational cost. Since these techniques are significantly slower than the traditional analytical ones and time is critical in this field, we need to employ parallel implementations in order to exploit the machine resources and obtain efficient reconstructions. In this paper, we analyze the performance of the sparse QR decomposition implemented on SuiteSparseQR factorization package applied to the CT reconstruction problem. We explore both the parallelism provided by BLAS threads and the use of the Householder reflections to reconstruct multiple slices at once efficiently. Combining both strategies, we can boost the performance of the reconstructions and implement a reliable and competitive method that gets high-quality CT images. es_ES
dc.description.sponsorship This research has been supported by Universitat Politècnica de València, Generalitat Valenciana under PROMETEO/2018/035 co-financed by FEDER funds, as well as ACIF/2017/075 predoctoral grant, and the Spanish Ministry of Economy and Competitiveness under Grant TIN2015-66972-C5-4-R and TIAMHA co-financed by FEDER funds. es_ES
dc.language Inglés es_ES
dc.publisher Springer es_ES
dc.relation.ispartof Computational Science - ICCS 2019. Lecture Notes in Computer Science es_ES
dc.relation.ispartofseries Lecture Notes in Computer Science;11538 es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject CT es_ES
dc.subject Medical imaging es_ES
dc.subject Reconstruction es_ES
dc.subject Matrix factorization es_ES
dc.subject QR es_ES
dc.subject Few projections es_ES
dc.subject Parallel QR es_ES
dc.subject SuiteSparseQR es_ES
dc.subject.classification INGENIERIA NUCLEAR es_ES
dc.subject.classification CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL es_ES
dc.title Parallel CT Reconstruction for Multiple Slices Studies with SuiteSparseQR Factorization Package es_ES
dc.type Comunicación en congreso es_ES
dc.type Artículo es_ES
dc.type Capítulo de libro es_ES
dc.identifier.doi 10.1007/978-3-030-22744-9_12 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//ACIF%2F2017%2F075//AYUDA PREDOCTORAL CONSELLERIA-CHILLARON PEREZ/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-098156-B-C54/ES/TECNICAS PARA LA ACELERACION Y MEJORA DE APLICACIONES MULTIMEDIA Y HPC/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//PROMETEO%2F2018%2F035//BIOINGENIERIA DE LAS RADIACIONES IONIZANTES. BIORA/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Química y Nuclear - Departament d'Enginyeria Química i Nuclear es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Chillarón-Pérez, M.; Vidal-Gimeno, V.; Verdú Martín, GJ. (2019). Parallel CT Reconstruction for Multiple Slices Studies with SuiteSparseQR Factorization Package. Springer. 160-169. https://doi.org/10.1007/978-3-030-22744-9_12 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename International Conference on Computational Science (ICCS 2019) es_ES
dc.relation.conferencedate Junio 12-14,2019 es_ES
dc.relation.conferenceplace Faro, Portugal es_ES
dc.relation.publisherversion https://doi.org/10.1007/978-3-030-22744-9_12 es_ES
dc.description.upvformatpinicio 160 es_ES
dc.description.upvformatpfin 169 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela S\391635 es_ES
dc.contributor.funder GENERALITAT VALENCIANA es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder Universitat Politècnica de València es_ES
dc.contributor.funder Ministerio de Ciencia, Innovación y Universidades es_ES
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