Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

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

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Long-Term Real-World Effectiveness and Response Trajectories of Dupilumab in Paediatric Atopic Dermatitis.

Journal of clinical medicine·2026
Same author

Optic Nerve Lesion Volume, White Matter Hyperintensities, and Brain Volumetrics in Multiple Sclerosis: A Multi-Sequence MRI-Based Analysis.

European journal of neurology·2026
Same author

IL-36-Driven Inflammation in Generalized Pustular Psoriasis: Immunological Insights from Plaque Psoriasis and Implications for Targeted Therapy.

International journal of molecular sciences·2026
Same author

GLP-1 Receptor Agonists in Chronic Inflammatory Skin Diseases: Immunometabolic Mechanisms and Translational Perspectives.

Pharmaceutics·2026
Same author

Gut Dysbiosis and the Molecular Landscape of the Gut-Skin Axis: Comparative Insights and Therapeutic Implications for Atopic Dermatitis and Psoriasis.

Cells·2026
Same author

Performance of Deep Learning Reconstruction for Detection of Early Ischemic Changes in NCCT: Comparison with ASIR-V in Acute Stroke.

Clinical neuroradiology·2026

Related Experiment Video

Updated: Sep 11, 2025

Optimized Management of Endovascular Treatment for Acute Ischemic Stroke
09:21

Optimized Management of Endovascular Treatment for Acute Ischemic Stroke

Published on: January 18, 2018

12.1K

Improved CTA imaging for stroke evaluation - deep learning and iterative reconstruction comparative study.

Michal Pula1, Emilia Kucharczyk2, Marcin Piersiak3

  • 1Department of General Radiology, Interventional Radiology and Neuroradiology, Wroclaw Medical University Hospital, Wrocław, Poland. michal.pula97@gmail.com.

Neuroradiology
|August 12, 2025
PubMed
Summary

Deep learning-based image reconstruction (DLIR) significantly improves CT angiography (CTA) image quality for acute ischemic stroke (AIS) patients. DLIR enhances visualization of arteries, aiding in the detection of large vessel occlusions.

Keywords:
AngiographyDLIRDeep learningHead CTAStroke

More Related Videos

Author Spotlight: Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke
06:45

Author Spotlight: Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke

Published on: June 2, 2023

1.7K
Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
10:25

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

Published on: September 25, 2019

48.4K

Related Experiment Videos

Last Updated: Sep 11, 2025

Optimized Management of Endovascular Treatment for Acute Ischemic Stroke
09:21

Optimized Management of Endovascular Treatment for Acute Ischemic Stroke

Published on: January 18, 2018

12.1K
Author Spotlight: Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke
06:45

Author Spotlight: Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke

Published on: June 2, 2023

1.7K
Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
10:25

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

Published on: September 25, 2019

48.4K

Area of Science:

  • Radiology
  • Medical Imaging
  • Artificial Intelligence in Medicine

Background:

  • Computed Tomography Angiography (CTA) is crucial for diagnosing acute ischemic stroke (AIS).
  • Traditional reconstruction algorithms like adaptive statistical iterative reconstruction-Veo (ASIR-V) have limitations in image quality for detecting large vessel occlusions.
  • Deep learning-based image reconstruction (DLIR) offers a novel approach to enhance CTA image quality.

Purpose of the Study:

  • To compare the efficacy of DLIR against ASIR-V for CTA in AIS patients.
  • To evaluate DLIR's potential in improving diagnostic accuracy and visualization of large vessel occlusions.
  • To assess the impact of DLIR on image quality metrics including SNR, CNR, and arterial homogeneity.

Main Methods:

  • Retrospective analysis of 108 AIS-suspected patients undergoing head and neck CTA.
  • Comparison of DLIR and ASIR-V reconstructions.
  • Quantitative assessment of signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and arterial homogeneity in defined regions of interest.

Main Results:

  • DLIR demonstrated significant improvements in SNR and CNR compared to ASIR-V.
  • DLIR achieved a 52.29% SNR increase in the common carotid artery and a 63.98% SNR increase in the pons white matter.
  • DLIR improved arterial homogeneity by 21.10%, enhancing occlusion visualization, particularly in the posterior cerebral fossa.

Conclusions:

  • DLIR provides superior image quality for head and neck CTA in AIS patients.
  • DLIR enhances arterial homogeneity and aids in evaluating occlusions, especially in the posterior cerebral fossa.
  • DLIR shows promise but requires further evaluation for medial cerebral fossa visualization.