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

Computed Tomography01:10

Computed Tomography

6.2K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
6.2K
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

50
DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
50
Radiological Investigation I: X-ray and CT01:30

Radiological Investigation I: X-ray and CT

414
Radiological investigations, including X-rays and computed tomography (CT) scans, are critical for diagnosing and evaluating various medical conditions. These imaging techniques provide valuable insights into the body's internal structures, aiding in the detection of abnormalities, assessment of disease progression, and development of treatment strategies. This article delves into two primary radiological investigations, chest X-rays and CT scans, outlining their purpose, procedures, and...
414
X-ray Imaging01:24

X-ray Imaging

7.0K
German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with...
7.0K
Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

441
Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
441
Positron Emission Tomography01:29

Positron Emission Tomography

5.4K
Positron emission tomography (PET) is a medical imaging technique involving radiopharmaceuticals — substances that emit short-lived radiation. Although the first PET scanner was introduced in 1961, it took 15 more years before radiopharmaceuticals were combined with the technique and revolutionized its potential.
One of the main requirements of a PET scan is a positron-emitting radioisotope, which is produced in a cyclotron and then attached to a substance used by the part of the body...
5.4K

También podría leer

Artículos Relacionados

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

Ordenar por
Same author

Dosimetric analysis of post-radiotherapy sexual dysfunction in patients receiving definitive stereotactic body radiotherapy (SBRT) for prostate cancer: a secondary analysis of MIRAGE.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology·2026
Same author

Beyond the LUMIR challenge: The pathway to foundational registration models.

Medical image analysis·2026
Same author

Free-Breathing Dynamic, Regularized, Adaptive Cluster Optimization (DRACO) Cine Cardiac MRI in Atrial Fibrillation.

Journal of magnetic resonance imaging : JMRI·2026
Same author

Spherical radiomics for radiogenomic assessment of glioblastoma heterogeneity.

Neuro-oncology advances·2026
Same author

Inverse Design of Anthraquinone-Mimicking COFs via Electronic Fingerprints for Sacrificial-Agent-Free Photocatalytic H<sub>2</sub>O<sub>2</sub> Production under Visible Light.

Journal of the American Chemical Society·2026
Same author

Anisotropic electronic correlations in the spin density wave state of La<sub>3</sub>Ni<sub>2</sub>O<sub>7</sub>.

Nature communications·2026

Video Experimental Relacionado

Updated: Sep 10, 2025

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging
08:30

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging

Published on: September 11, 2011

14.5K

TomoGRAF: Un marco de campo de radiancia generativo impulsado por la física de rayos X para la reconstrucción de TC

Di Xu1, Yang Yang2, Hengjie Liu3

  • 1Radiation Oncology, University of California, San Francisco, California, United States of America.

PloS one
|August 22, 2025
PubMed
Resumen

TomoGRAF reconstruye volúmenes de tomografía computarizada 3D a partir de vistas de rayos X ultra dispersas, superando las limitaciones de los métodos tradicionales. Este nuevo enfoque permite imágenes 3D de alta calidad para aplicaciones médicas críticas con datos mínimos.

Más Videos Relacionados

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography
07:01

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

Published on: October 24, 2019

9.9K
Neutron Radiography and Computed Tomography of Biological Systems at the Oak Ridge National Laboratory's High Flux Isotope Reactor
10:24

Neutron Radiography and Computed Tomography of Biological Systems at the Oak Ridge National Laboratory's High Flux Isotope Reactor

Published on: May 7, 2021

2.4K

Videos de Experimentos Relacionados

Last Updated: Sep 10, 2025

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging
08:30

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging

Published on: September 11, 2011

14.5K
3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography
07:01

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

Published on: October 24, 2019

9.9K
Neutron Radiography and Computed Tomography of Biological Systems at the Oak Ridge National Laboratory's High Flux Isotope Reactor
10:24

Neutron Radiography and Computed Tomography of Biological Systems at the Oak Ridge National Laboratory's High Flux Isotope Reactor

Published on: May 7, 2021

2.4K

Área de la Ciencia:

  • Imágenes médicas
  • Imágenes computarizadas
  • La radioterapia

Sus antecedentes:

  • La tomografía computarizada (TC) permite la visualización 3D de alta resolución, pero generalmente requiere numerosas muestras angulares.
  • Las limitaciones físicas y mecánicas a menudo limitan la adquisición de datos prácticos, especialmente para la TC de visión escasa.
  • Los métodos de reconstrucción de TC de visión dispersa existentes, incluido el aprendizaje profundo y los campos de radiación neural (NeRF), muestran un éxito limitado, especialmente en escenarios ultra dispersos.

Objetivo del estudio:

  • Desarrollar un nuevo método, TomoGRAF, para reconstruir volúmenes de tomografía computarizada 3D de alta calidad a partir de proyecciones de rayos X ultrapares.
  • Para abordar los desafíos del muestreo angular limitado en la tomografía computarizada.
  • Proporcionar una solución generalizable para aplicaciones médicas que requieran datos volumétricos en 3D a partir de vistas mínimas de rayos X.

Principales métodos:

  • Desarrolló TomoGRAF, un sistema que incorpora un módulo de renderizado de volumen que simula la atenuación del material de rayos X basado en la geometría de la TC.
  • Implementó una estrategia de capacitación que penaliza las diferencias entre los volúmenes de simulación y la verdad del terreno, mejorando la fidelidad previa.
  • Principios adaptados del campo de radiación neural (NeRF) para la física de rayos X, que difieren de la representación estándar de luz visible.

Principales resultados:

  • TomoGRAF demostró una mejora significativa en el rendimiento en comparación con los métodos de aprendizaje profundo y NeRF de última generación.
  • El sistema fue entrenado en el conjunto de datos LIDC-IDRI y validado en un conjunto de datos interno independiente con características de imagen distintas.
  • Se ha conseguido una reconstrucción de volumen 3D de alta calidad, incluso con datos de proyección ultraesparsos.

Conclusiones:

  • TomoGRAF ofrece la primera solución generalizable para reconstruir información volumétrica en 3D a partir de una o unas pocas vistas de rayos X.
  • Este avance es crucial para aplicaciones como la radioterapia guiada por imágenes y la radiología intervencionista.
  • Permite conocimientos 3D esenciales donde la adquisición tradicional de datos CT es inviable.