Related Experiment Video

Updated: Mar 24, 2026

Magnetic Resonance Imaging Quantification of Pulmonary Perfusion using Calibrated Arterial Spin Labeling
12:29

Magnetic Resonance Imaging Quantification of Pulmonary Perfusion using Calibrated Arterial Spin Labeling

Published on: May 30, 2011

14.3K

Stability of MR brain-perfusion measurement using arterial spin labeling

Jan Petr1, Frank Hofheinz1, Ivan Platzek1

  • 1Helmholtz-Center Dresden-Rossendorf, PET Center, Institute of Radiopharmaceutical Cancer Research, Germany.

EJNMMI Physics
|March 10, 2016
PubMed
Abstract

No abstract available in PubMed .

More Related Videos

Author Spotlight: Noninvasive Cerebral Blood Flow Determination in Human Functional Brain Region for Diagnosis of Neurological Disorders
05:23

Author Spotlight: Noninvasive Cerebral Blood Flow Determination in Human Functional Brain Region for Diagnosis of Neurological Disorders

Published on: May 31, 2024

934
Metabolic Support of Excised, Living Brain Tissues During Magnetic Resonance Microscopy Acquisition
10:21

Metabolic Support of Excised, Living Brain Tissues During Magnetic Resonance Microscopy Acquisition

Published on: October 18, 2017

6.4K

Related Experiment Videos

Last Updated: Mar 24, 2026

Magnetic Resonance Imaging Quantification of Pulmonary Perfusion using Calibrated Arterial Spin Labeling
12:29

Magnetic Resonance Imaging Quantification of Pulmonary Perfusion using Calibrated Arterial Spin Labeling

Published on: May 30, 2011

14.3K
Author Spotlight: Noninvasive Cerebral Blood Flow Determination in Human Functional Brain Region for Diagnosis of Neurological Disorders
05:23

Author Spotlight: Noninvasive Cerebral Blood Flow Determination in Human Functional Brain Region for Diagnosis of Neurological Disorders

Published on: May 31, 2024

934
Metabolic Support of Excised, Living Brain Tissues During Magnetic Resonance Microscopy Acquisition
10:21

Metabolic Support of Excised, Living Brain Tissues During Magnetic Resonance Microscopy Acquisition

Published on: October 18, 2017

6.4K

Related Concept Videos

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

10.3K
Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
10.3K

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

Diffuse glioma perfusion quantification with ASL and DSC: a head-to-head comparison with 15O-H2O PET.

Frontiers in oncology·2026

Procedure efficiency and diagnostic outcomes during the learning curve of transperineal MRI-guided prostate biopsy.

BJUI compass·2026

MR-Guided PET Denoising and Resolution Enhancement Improves Visual Interpretation and Preserves Quantitative Behavior Across Amyloid Tracers.

medRxiv : the preprint server for health sciences·2026

[18F]Fluorodeoxyglucose-PET/MRI-based response assessment following BCMA-directed CAR-T-cell therapy with ciltacabtagene autoleucel in relapsed/refractory multiple myeloma.

Haematologica·2026

CAD-RADS 2.0: Comparison of methods for assessment of plaque burden.

European journal of radiology open·2026

Cerebral blood flow and time of exchange measurements using multi-TE blood-brain barrier arterial spin labeling MRI in IDH mutational subgroups of gliomas.

Magma (New York, N.Y.)·2026

Monte Carlo microdosimetry of 211at in multi-species thyroid follicle models: AlfaMC versus MCNPX and Geant4.

EJNMMI physics·2026

Quantification of image quality and partial volume effect along the axial field-of-view of uMI Panorama GS PET/CT system for multiple radionuclides.

EJNMMI physics·2026

Feasibility simulation study of positronium lifetime imaging with the Biograph Vision Quadra and J-PET tomographs.

EJNMMI physics·2026

MLPET: a localized neural network approach for probabilistic post-reconstruction PET image analysis using informed priors.

EJNMMI physics·2026

Image optimization for low-dose 18F-FDG breast PET/MRI using deep learning: a pilot study.

EJNMMI physics·2026

Evaluation of deep learning-based reconstruction models on non-TOF BGO PET/CT: impact of acquisition times and BSREM penalization factors on lesion detectability and SNR.

EJNMMI physics·2026
See all related articles
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
Jove
Visualize
Contact Us