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Listar por palabra clave "MRI"

Mostrando ítems 1-20 de 67

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A complete software application for automatic registration of x-ray mammography and magnetic resonance images

Solves Llorens, Juan Antonio; Rupérez Moreno, María José; Monserrat, C.; Feliu, E; Garcia, M; Lloret, M (American Association of Physicists in Medicine: Medical Physics, 2014-08)

Purpose: This work presents a complete and automatic software application to aid radiologists in breast cancer diagnosis. The application is a fully automated method that performs a complete registration of magnetic ...
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 novel deep learning based hippocampus subfield segmentation method

Manjón Herrera, José Vicente; Romero, José E.; Coupe, Pierrick (Nature Publishing Group, 2022-01-25)

[EN] The automatic assessment of hippocampus volume is an important tool in the study of several neurodegenerative diseases such as Alzheimer's disease. Specifically, the measurement of hippocampus subfields properties is ...
A Software For Surgical And Radiotherapy Planning Through Multimodal Brain Image Registration And Fusion

Naranjo Ornedo, Valeriana; Morales, Sandra; Legaz-Aparicio, A.; Larrey-Ruiz, J.; Bernabeu, A.; Fuentes-Hurtado, F. (Springer Verlag (Germany), 2015-06)
Anatomical MRI staging of frontotemporal dementia variants

Planche, Vicent; Mansecal, Boris; Manjón Herrera, José Vicente; Tourdias, Thomas; Catheline, Gwenaelle; Coupé, Pierrick (Elsevier, 2023)

[EN] INTRODUCTIONThe three clinical variants of frontotemporal dementia (behavioral variant [bvFTD], semantic dementia, and progressive non-fluent aphasia [PNFA]) are likely to develop over decades, from the preclinical ...
Análisis basado en vóxel de datos de tractografía para mejorar la agrupación de fibras

Bastardés Climent, Blanca (Universitat Politècnica de València, 2020-05-12)

[ES] Muchas patologías neurodegenerativas del cerebro están estrechamente relacionadas con la degeneración de la materia blanca, lo que desarrolla alteraciones en la difusión de agua en el tejido. Por este motivo, es ...
Análisis comparativo de valores SUV y ADC en carcinoma de próstata mediante análisis de imágenes de resonancia magnética y tomografía por emisión de positrones

Cantalapiedra Cabezas, Cristina (Universitat Politècnica de València, 2021-03-05)

[ES] La literatura científica ha demostrado que los carcinomas prostáticos reducen la difusión en imágenes de resonancia magnética (MRI, Magnetic Resonance Imaging). Para cuantificar la difusión se utiliza el coeficiente ...
Análisis y evaluación de nuevos biomarcadores para la enfermedad de Alzheimer mediante un proceso radiomics basado en el análisis de texturas sobre imágenes de resonancia magnética

López Gómez, Carlos (Universitat Politècnica de València, 2017-07-11)

[ES] La enfermedad de Alzheimer (EA) es una enfermedad neurodegenerativa que se caracteriza por la presencia de deterioro cognitivo y conductual de aparición en la edad adulta, principalmente en la vejez. Actualmente está ...
Anonimizacion y control de calidad centralizada (CQC) en imagen de resonancia magnetica

Fernández-Cañada Vilata, Ángel (Universitat Politècnica de València, 2016-05-17)

[EN] Biomedical image appeared in the field of science 115 years ago with the first radiograph obtained by Wilhelm Conrad Röntgen. By then, the discovery was hailed as one of the greatest technological achievements of ...
Antipsychotic and benzodiazepine use and brain morphology in schizophrenia and affective psychoses - Systematic reviews and birth cohort study

Huhtaniska, Sanna; korkala, Likka; Heikka, Tuomas; Björnholm, Lassi; Lehtiniemi, Heli; Hulkko, Anja P.; Moilanen, Jani S.; Tohka, Jussi; Manjón Herrera, José Vicente; Coupé, Pierrick; Kiviniemi, Vesa; Isohanni, Matti; Koponen, Hannu; Murray, Graham K.; Miettunen, Jouko (Elsevier, 2018)

[EN] The aim of this paper was to investigate differences in brain structure volumes between schizophrenia and affective psychoses, and whether cumulative lifetime antipsychotic or benzodiazepine doses relate to brain ...
Automated Cervical Spinal Cord Segmentation in Real-World MRI of Multiple Sclerosis Patients by Optimized Hybrid Residual Attention-Aware Convolutional Neural Networks

Bueno, América; Bosch Roig, Ignacio; Rodríguez, Alejandro; Jiménez, Ana; Carreres, Joan; Fernández, Matías; Marti-Bonmati, Luis; Alberich-Bayarri, Angel (Springer-Verlag, 2022-10)

[EN] Magnetic resonance (MR) imaging is the most sensitive clinical tool in the diagnosis and monitoring of multiple sclerosis (MS) alterations. Spinal cord evaluation has gained interest in this clinical scenario in recent ...
Automatic Individual Arterial Input Functions Calculated From PCA Outperform Manual and Population-Averaged Approaches for the Pharmacokinetic Modeling of DCE-MR Images

Sanz Requena, Roberto; Prats-Montalbán, José Manuel; Marti Bonmati, Luis; Alberich Bayarri, Ángel; García Martí, Gracián; Pérez, Rosario; Ferrer Riquelme, Alberto José (Wiley, 2015-08)

[EN] Background: To introduce a segmentation method to calculate an automatic arterial input function (AIF) based on prin- cipal component analysis (PCA) of dynamic contrast enhanced MR (DCE-MR) imaging and compare it with ...
Automatic thalamus and hippocampus segmentation from MP2RAGE: comparison of publicly available methods and implications for DTI quantification

Naess-Schmidt, Erhard; Tietze, Anna; Blicher, Jakob Udby; Petersen, Mikkel; Mikkelsen, Irene K.; Coupe, Pierrick; Manjón Herrera, José Vicente; Eskildsen, Simon Fristed (Springer Verlag (Germany), 2016-11)

Purpose In both structural and functional MRI, there is a need for accurate and reliable automatic segmentation of brain regions. Inconsistent segmentation reduces sensitivity and may bias results in clinical studies. ...
BEaST: Brain extraction based on nonlocal segmentation technique

Eskildsen, Simon F.; Coupé, Pierrick; Fonov, Vladimir; Manjón Herrera, José Vicente; Leung, Kelvin K.; Guizard, Nicolas; Wassef, Shafik N.; Østergaard, Lasse Riis; Collins, D. Louis; Alzheimer's Dis Neuroimaging (Elsevier, 2012-02-01)

Brain extraction is an important step in the analysis of brain images. The variability in brain morphology and the difference in intensity characteristics due to imaging sequences make the development of a general purpose ...
Caracterización de la agresividad del cáncer de mama mediante análisis de formas y texturas de imágenes de PET/RM como biopsia digital para ayuda al diagnóstico

López Máñez, Miriam (Universitat Politècnica de València, 2022-09-09)

[ES] El tratamiento que se debe aplicar para combatir un cáncer está determinado principalmente por el momento en el que se detecta y el estadio en el que se encuentra. Llegar a determinar el estadio del cáncer de mama es ...
Characterization of a preclinical PET insert in a 7 tesla MRI scanner: beyond NEMA testing

Gsell, Willy; Molinos, Cesar; Correcher, Carlos; Belderbos, Sarah; Wouters, Jens; Junge, Sven; Heidenreich, Michael; Vande Velde, Greetje; Rezaei, Ahmadreza; Nuyts, Johan; Cawthorne, Christopher; Cleeren, Frederik; Nannan, Lise; Deroose, Christophe M.; Himmelreich, Uwe; González Martínez, Antonio Javier (IOP Publishing, 2020-12-21)

[EN] This study evaluates the performance of the Bruker positron emission tomograph (PET) insert combined with a BioSpec 70/30 USR magnetic resonance imaging (MRI) scanner using the manufacturer acceptance protocol and the ...
Collaborative patch-based super-resolution for diffusion-weighted images

Coupé, Pierrick; Manjón Herrera, José Vicente; Chamberland, Maxime; Descoteaux, Maxime; Hiba, Bassem (Elsevier, 2013-12)

In this paper, a new single image acquisition super-resolution method is proposed to increase image resolution of diffusion weighted (DW) images. Based on a nonlocal patch-based strategy, the proposed method uses ...
Compressed Lateral and anteroposterior Anatomical Systematic Sequences «CLASS»: compressed MRI sequences with assessed anatomical femoral and tibial ACL's footprints, a feasibility study

Thürig, Grégoire; PANADERO-MORALES, R.; Giovannelli, Luca; Kocher, Franziska; Peris-Serra, José-Luis; Tannast, Moritz; Petek, Daniel (Springer, 2022-01-31)

[EN] Purpose This study's main objective is to assess the feasibility of processing the MRI information with identified ACL-footprints into 2D-images similar to a conventional anteroposterior and lateral X-Ray image of the ...
Deep learning based MRI contrast synthesis using full volume prediction using full volume prediction

Manjón Herrera, José Vicente; ROMERO GOMEZ, JOSE ENRIQUE; COUPÉ, PIERRICK (IOP Publishing, 2022-01)

[EN] In Magnetic Resonance Imaging (MRI), depending on the image acquisition settings, a large number of image types or contrasts can be generated showing complementary information of the same imaged subject. This ...
DeepLesionBrain: Towards a broader deep-learning generalization for multiple sclerosis lesion segmentation

Kamraoui, Reda Abdellah; Ta, Vinh-Thong; Tourdias, Thomas; Mansencal, Boris; Manjón Herrera, José Vicente; Coupé, Pierrick (Elsevier, 2022-02)

[EN] Recently, segmentation methods based on Convolutional Neural Networks (CNNs) showed promising per-formance in automatic Multiple Sclerosis (MS) lesions segmentation. These techniques have even out-performed human ...