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Browsing by UPV Unit "Universitat Politècnica de València. Instituto de Instrumentación para Imagen Molecular - Institut d'Instrumentació per a Imatge Molecular"

Now showing items 1-20 of 366

144 Channel measurement IC for CdZnTe sensors with energy and time resolution

Volker, Matthias; Hauer, Johann; Benlloch Baviera, Jose María; Soriano Asensi, Antonio; Sánchez Martínez, Filomeno; Carrascal, Jorge; Cela, jose-manuel; Romero, Luciano (Elsevier, 2014-10)

A 144 channel measurement IC for CdZnTe detectors, used for PET, is presented. Each channel consists of a charge sensitive amplifier, a fast and a slow shaper, a peak sampler for the energy acquisition and an event detector ...
2D feasibility study of joint reconstruction of attenuation and activity in limited angle TOF-PET

Vergara, Marina; Rezaei, Ahmadreza; Schramm, Georg; Rodríguez-Álvarez, María José; Benlloch Baviera, Jose María; Nuyts, Johan (Institute of Electrical and Electronics Engineers, 2021-09)

[EN] Several research groups are studying organ-dedicated limited angle positron emission tomography (PET) systems to optimize performance-cost ratio, sensitivity, access to the patient, and/or flexibility. Often open ...
2D study of a joint reconstruction algorithm for limited angle PET geometries

Vergara, Marina; Rezaei, Ahmadreza; Rodríguez-Álvarez, Maria Jose; Benlloch Baviera, Jose María; Nuyts, Johan (KU Leuven, 2021-07-23)

[EN] Recently, a wide interest on organ-dedicated PET systems has been shown. Some of those systems present geometries that produce an incomplete sampling of the tomographic data due to limited angular coverage and/or ...
A Cloud Architecture for the Execution of Medical Imaging Biomarkers

López-Huguet, Sergio; García-Castro, Fabio; Alberich-Bayarri, Angel; Blanquer Espert, Ignacio (Springer, 2019-06-14)

Digital Medical Imaging is increasingly being used in clinical routine and research. As a consequence, the workload in medical imaging departments in hospitals has multiplied by over 20 in the last decade. Medical Image ...
A cloud infrastructure for scalable computing on population imaging databanks

Blanquer Espert, Ignacio; Caballer Fernández, Miguel; Martí-Bonmatí, Luis; Alberich Bayarri, Ángel; De la Iglesia Vayá, Maria de los Desamparados; Martínez, Jacobo (Inderscience, 2015)

This article describes the software architecture designed to cope with the computing demand of research usage of complex data from the imaging biobank of the Regional Ministry of Health in the Valencia Region (CS). It ...
A Cloud-Based Framework for Machine Learning Workloads and Applications

Lopez Garcia, Alvaro; Marco De Lucas, Jesús; Antonacci, Marica; Zu Castell, Wolfgang; David, Mario; Hardt, Marcus; Lloret Iglesias, Lara; Moltó, Germán; Plociennik, Marcin; Tran, Viet; Alic, Andrei Stefan; Caballer Fernández, Miguel; Campos Plasencia, Isabel; Costantini, Alessandro; Dlugolinsky, Stefan (Institute of Electrical and Electronics Engineers, 2020-01-06)

[EN] In this paper we propose a distributed architecture to provide machine learning practitioners with a set of tools and cloud services that cover the whole machine learning development cycle: ranging from the models ...
A Fast 0.5 T Prepolarizer Module for Preclinical Magnetic Resonance Imaging

Rigla, J. P.; Borreguero-Morata, José; Gramage, Carlos; Pallás-Lodeiro, Eduardo; González-Hernández, José Manuel; Bosch-Esteve, Rubén; Algarín-Guisado, José Miguel; Sanchez-Andres, Juan V.; Galve, Fernando; Grau-Ruiz, Daniel; Pellicer, Rubén; Rios, Alfonso; Benlloch Baviera, Jose María; Alonso, Joseba (Institute of Electrical and Electronics Engineers, 2022-02)

[EN] We present a magnet and high power electronics for Prepolarized Magnetic Resonance Imaging (PMRI) in a home-made, special-purpose preclinical system designed for simultaneous visualization of hard and soft biological ...
A fast sparse block circulant matrix vector product

Romero Alcalde, Eloy; Tomás Domínguez, Andrés Enrique; Soriano Asensi, Antonio; Blanquer Espert, Ignacio (Springer, 2014-08-25)

In the context of computed tomography (CT), iterative image reconstruction techniques are gaining attention because high-quality images are becoming computationally feasible. They involve the solution of large systems of ...
A federated cloud architecture for processing of cancer images on a distributed storage

Segrelles Quilis, José Damián; López-Huguet, Sergio; Lozano Lloret, Pau; Blanquer Espert, Ignacio (Elsevier, 2023-02)

[EN] The increased accuracy and exhaustivity of modern Artificial Intelligence techniques in supporting the analysis of complex data, such as medical images, have exponentially increased real-world data collection for ...
A framework and a performance assessment for serverless MapReduce on AWS Lambda

Giménez-Alventosa, Vicent; Moltó, Germán; Caballer Fernández, Miguel (Elsevier, 2019-08)

[EN] MapReduce is one of the most widely used programming models for analysing large-scale datasets, i.e. Big Data. In recent years, serverless computing and, in particular, Functions as a Service (FaaS) has surged as an ...
A meta-analysis reveals the commonalities and differences in Arabidopsis thaliana response to different viral pathogens

Rodrigo Tarrega, Guillermo; Carrera Montesinos, Javier; Ruiz-Ferrer, Virginia; Del Toro, F.J.; Llave, C; Voinnet, O.; Elena Fito, Santiago Fco (Public Library of Science, 2012-07)

Understanding the mechanisms by which plants trigger host defenses in response to viruses has been a challenging problem owing to the multiplicity of factors and complexity of interactions involved. The advent of genomic ...
A new elastographic technique using acoustic vortices

Jimenez, Noe; Benlloch Baviera, Jose María; Camarena Femenia, Francisco (IEEE, 2020-09-11)

[EN] We present a novel method of elastography based on acoustic vortices to transfer angular momentum to tissue in addition to linear momentum. Focused vortex beams can push and twist tissue, and the rotation direction ...
A parallel implementation of Davidson methods for large-scale eigenvalue problems in SLEPc

Romero Alcalde, Eloy; Román Moltó, José Enrique (Association for Computing Machinery (ACM), 2014-02)

In the context of large-scale eigenvalue problems, methods of Davidson type such as Jacobi-Davidson can be competitive with respect to other types of algorithms, especially in some particularly difficult situations such ...
A Pilot Experience with Software Programming Environments as a Service for Teaching Activities

Calatrava Arroyo, Amanda; Ramos Montes, Marcos; Segrelles Quilis, José Damián (MDPI AG, 2021-01)

[EN] Software programming is one of the key abilities for the development of Computational Thinking (CT) skills in Science, Technology, Engineering and Mathematics (STEM). However, specific software tools to emulate realistic ...
A platform to deploy customized scientific virtual infrastructures on the cloud

Caballer Fernández, Miguel; Segrelles Quilis, José Damián; Moltó, Germán; Blanquer Espert, Ignacio (Wiley: 12 months, 2015-11)

This paper presents a software platform to dynamically deploy complex scientific virtual computing infrastructures, on top of Infrastructure as a Service (IaaS) Clouds. The platform orchestrates different services to ...
A programmable, multichannel power supply for SiPMs with temperature compensation loop and Ethernet interface

Querol-Segura, Marc; Rodriguez-Samaniego, Javier; Toledo Alarcón, José Francisco; Esteve Bosch, Raul; Álvarez-Puerta, Vicente; Herrero Bosch, Vicente (IOP Publishing, 2016-12-15)

Among the different techniques available, the SiPM power supply described in this paper uses output voltage and sensor temperature feedback. A high-resolution ADC digitizes both the output voltage and an analog signal ...
A replicated information system to enable dynamic collaborationsin the Grid

Torres Serrano, Erik; Moltó Martínez, Germán; Segrelles Quilis, José Damián; Blanquer Espert, Ignacio; Hernández García, Vicente (Wiley-Blackwell, 2012)

The main advantage of Grid computing over other distributed computing paradigms is its capability to coordinate the access to data and resources in a virtual multi-institutional environment. To this end, the information ...
A scintillator geometry suitable for very small PET gantries

González Martínez, Antonio Javier; Gonzalez-Montoro, A.; Aguilar, A.; Cañizares, G.; Martí, R.; Iranzo, S.; Lamprou, E.; Sánchez, S.; Sánchez, F; Benlloch Baviera, Jose María (IOP Publishing, 2017-12-11)
A Self-managed Mesos Cluster for Data Analytics with QoS Guarantees

López-Huguet, Sergio; Pérez-González, Alfonso María; Calatrava Arroyo, Amanda; Alfonso Laguna, Carlos De; Caballer Fernández, Miguel; Moltó, Germán; Blanquer Espert, Ignacio (Elsevier, 2019)

[EN] This article describes the development of an automated configuration of a software platform for Data Analytics that supports horizontal and vertical elasticity to guarantee meeting a specific deadline. It specifies ...
A service-oriented architecture for scientific computing on cloud infrastructures

Moltó, Germán; Calatrava Arroyo, Amanda; Hernández García, Vicente (Springer Verlag (Germany), 2013)

This paper describes a service-oriented architecture that eases the process of scientific application deployment and execution in IaaS Clouds, with a focus on High Throughput Computing applications. The system integrates ...