Jove
Visualize
Contáctanos
JoVE
x logofacebook logolinkedin logoyoutube logo
ACERCA DE JoVE
Visión GeneralLiderazgoBlogCentro de Ayuda JoVE
AUTORES
Proceso de PublicaciónConsejo EditorialAlcance y PolíticasRevisión por ParesPreguntas FrecuentesEnviar
BIBLIOTECARIOS
TestimoniosSuscripcionesAccesoRecursosConsejo Asesor de BibliotecasPreguntas Frecuentes
INVESTIGACIÓN
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchivo
EDUCACIÓN
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualCentro de Recursos para ProfesoresSitio de Profesores
Términos y Condiciones de Uso
Política de Privacidad
Políticas

Videos de Conceptos Relacionados

Econometric Views (EViews)01:29

Econometric Views (EViews)

569
Econometric Views, often stylized as EViews, is a package that merges statistical analysis with econometric studies. It is designed to provide tools for time series analysis, forecasting, and econometric model simulation. The software originated from MicroTSP software and has evolved significantly since its inception in 1981. The history of EViews is marked by a continuous effort to enhance its computational speed and user interface. It was initially developed for large computing systems but...
569
Self-Evaluation: Self-Enhancement and Self-Verification03:00

Self-Evaluation: Self-Enhancement and Self-Verification

5.8K
Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...
5.8K
Cranial Bones: Lateral View01:27

Cranial Bones: Lateral View

4.5K
The lateral view of the cranium is dominated by temporal, sphenoid, and ethmoid bones.
The temporal bone forms the lower lateral side of the skull. The temporal bone is subdivided into several regions. The flattened upper portion is the squamous portion of the temporal bone. Below this area and projecting anteriorly is the zygomatic process of the temporal bone, which forms the posterior portion of the zygomatic arch. Posteriorly is the mastoid portion of the temporal bone. Projecting...
4.5K
Revisionist Views of Adolescent and Adult Cognition01:24

Revisionist Views of Adolescent and Adult Cognition

299
A revisionist approach to Jean Piaget's theory of cognitive development has brought new insights that challenge and reinterpret his established ideas. Piaget proposed that the formal operational stage, emerging in adolescence, represents the culmination of cognitive maturity. During this stage, individuals are said to develop abstract thinking, engage in systematic problem-solving, and show a form of egocentrism, believing others are as preoccupied with their behavior as they are...
299
Attention-Deficit/Hyperactivity Disorder01:30

Attention-Deficit/Hyperactivity Disorder

885
Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by persistent inattention, hyperactivity, and impulsivity. It affects approximately 5-8% of children globally, with around 60-70% of cases persisting into adulthood. ADHD has significant implications for educational attainment, social interactions, and occupational success.
Diagnostic Criteria and Symptoms
To diagnose ADHD, symptoms must manifest before age 12 and be evident across multiple settings....
885
Cranial Bones: Superior and Posterior View01:14

Cranial Bones: Superior and Posterior View

5.1K
The superior view of the cranium shows the frontal and paired parietal bones.
The frontal bone is the single bone that forms the forehead. At its anterior midline, between the eyebrows, there is a slight depression called the glabella. The frontal bone also forms the supraorbital margin of the orbit. Near the middle of this margin is the supraorbital foramen, the opening that provides passage for a sensory nerve to the forehead. The frontal bone is thickened just above each supraorbital margin,...
5.1K

También podría leer

Artículos Relacionados

Artículos vinculados a este trabajo por autores compartidos, revista y gráfico de citas.

Ordenar por
Same author

Comparison of lung scintigraphy with multi-slice spiral computed tomography in the diagnosis of pulmonary embolism.

Clinical nuclear medicine·2009
Same author

[Analysis on the characters of injuries in body surface and deduction of injury-causing instruments in 146 cases].

Fa yi xue za zhi·2009
Same author

Impact of ketone and amino on the inner shell of guanine.

Journal of synchrotron radiation·2009
Same author

Actin turnover is required for myosin-dependent mitochondrial movements in Arabidopsis root hairs.

PloS one·2009
Same author

Direct observation of a widely tunable bandgap in bilayer graphene.

Nature·2009
Same author

Investigation of second-order nonlinearity in poled-polymer during photobleaching.

Optics express·2009
Same journal

Correction to "On the shape of the radiation survival curve in tumor spheroids: The role of oxygen heterogeneity".

Medical physics·2026
Same journal

Multi-view constrained semi-supervised vertebra detection for 3D ultrasound spine volume.

Medical physics·2026
Same journal

Accuracy of quantitative <sup>177</sup>Lu SPECT/CT imaging: A systematic review.

Medical physics·2026
Same journal

Physics-constrained dual-domain network for CBCT reconstruction from orthogonal X-rays in gynecologic radiotherapy.

Medical physics·2026
Same journal

Decomposition-based harmonization for quantitative PET imaging across scanners and radiotracers.

Medical physics·2026
Same journal

Development and evaluation of an in vivo dose-based monitoring system for electron FLASH radiation therapy.

Medical physics·2026
Ver todos los artículos relacionados

Video Experimental Relacionado

Updated: Jan 28, 2026

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
07:53

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

2.0K

Reconstrucción de CBCT de vista dispersa mejorada con atención multidimensional

Yuhao Liu1, Wan Li2, Yiyuan Tao1

  • 1Laboratory of Image Science and Technology, School of Computer Science and Engineering, Southeast University, Nanjing, China.

Medical physics
|January 27, 2026
PubMed
Resumen
Este resumen es generado por máquina.

Este estudio presenta MAE-Recon, una red de aprendizaje profundo de doble dominio que elimina eficazmente los artefactos de línea en la reconstrucción de tomografía computarizada de haz cónico (CBCT) de vista dispersa. El novedoso algoritmo mejora significativamente la calidad de la imagen, allanando el camino para una mayor precisión diagnóstica con una menor exposición a la radiación.

Palabras clave:
tomografía computarizada de haz cónicoaprendizaje profundoreconstrucción de vista dispersa

Más Videos Relacionados

Three-Dimensional Reconstruction of Orbital Fractures
08:18

Three-Dimensional Reconstruction of Orbital Fractures

Published on: May 16, 2025

647
Cultivating a Three-dimensional Reconstructed Human Epidermis at a Large Scale
08:49

Cultivating a Three-dimensional Reconstructed Human Epidermis at a Large Scale

Published on: May 28, 2021

12.9K

Videos de Experimentos Relacionados

Last Updated: Jan 28, 2026

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
07:53

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

2.0K
Three-Dimensional Reconstruction of Orbital Fractures
08:18

Three-Dimensional Reconstruction of Orbital Fractures

Published on: May 16, 2025

647
Cultivating a Three-dimensional Reconstructed Human Epidermis at a Large Scale
08:49

Cultivating a Three-dimensional Reconstructed Human Epidermis at a Large Scale

Published on: May 28, 2021

12.9K

Área de la Ciencia:

  • Imagen médica
  • Inteligencia artificial
  • Imagen computacional

Sus antecedentes:

  • La tomografía computarizada de haz cónico (CBCT) ofrece imágenes 3D de alta resolución pero sufre de efectos de retardo y preocupaciones sobre la dosis de radiación.
  • La CBCT de vista dispersa reduce la dosis de radiación y el tiempo de adquisición, pero introduce artefactos de línea, degradando la calidad de la imagen.
  • Las técnicas actuales de reconstrucción de CBCT de vista dispersa luchan por eliminar por completo los artefactos y recuperar los detalles de la imagen.

Objetivo del estudio:

  • Eliminar los artefactos de línea en CBCT de vista dispersa.
  • Recuperar los detalles de imagen perdidos utilizando redes de aprendizaje profundo de doble dominio.
  • Mejorar la calidad general de la imagen de CBCT de vista dispersa.

Principales métodos:

  • Se propuso un algoritmo de reconstrucción mejorado con atención multidimensional (MAE-Recon) para CBCT de vista dispersa.
  • MAE-Recon integra un módulo de interpolación lineal, una red de dominio de proyección, un operador FDK y una red de dominio de imagen.
  • Se introdujeron dos módulos plug-and-play para abordar las dependencias a largo plazo en las proyecciones y la redundancia de características.

Principales resultados:

  • Se validó MAE-Recon en conjuntos de datos reales de tórax y simulados de abdomen.
  • Se lograron reducciones significativas en RMSE (por ejemplo, 5x10^-5 mm^-1) y mejoras en SSIM (por ejemplo, 0.066) y PSNR (por ejemplo, 4.62 dB).
  • Los estudios de ablación confirmaron la practicidad y eficiencia de los módulos de mejora propuestos.

Conclusiones:

  • MAE-Recon genera con éxito imágenes de alta calidad en la reconstrucción de CBCT de vista dispersa.
  • El algoritmo demuestra un potencial significativo para la aplicación clínica en la mejora de la imagen CBCT.
  • El aprendizaje profundo de doble dominio aborda eficazmente la reducción de artefactos y la recuperación de detalles en CBCT de vista dispersa.