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

You might also read

Related Articles

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

Sort by
Same author

Tumor-associated collagen signature in relation to metastasis in lung adenocarcinoma.

Journal of thoracic disease·2026
Same author

End-to-End Autonomous Quantification of Brain Aneurysm and Parent Artery Morphology at CT Angiography.

Radiology. Artificial intelligence·2026
Same author

Corrigendum: Patient-specific 3D-printed coronary models based on coronary computed tomography angiography volumes to investigate flow conditions in coronary artery disease (2020<i>Biomedical Physics & Engineering Express</i><b>6</b>045007).

Biomedical physics & engineering express·2026
Same author

Highly Accelerated T<sub>1ρ</sub> Imaging in 3 min: Comparison Between Compressed Sensing and Deep Learning Reconstruction.

NMR in biomedicine·2026
Same author

Correction of foreshortening and tube potential bias for improved quantitative angiographic assessment of intracranial aneurysms.

Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences·2025
Same author

Contrastive Learning for Accelerated MR Fingerprinting.

Proceedings of the International Society for Magnetic Resonance in Medicine ... Scientific Meeting and Exhibition. International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition·2025

Related Experiment Video

Updated: Mar 29, 2026

Development and Evaluation of 3D-Printed Cardiovascular Phantoms for Interventional Planning and Training
09:57

Development and Evaluation of 3D-Printed Cardiovascular Phantoms for Interventional Planning and Training

Published on: January 18, 2021

4.7K

Initial testing of a 3D printed perfusion phantom using digital subtraction angiography.

Rachel P Wood1, Parag Khobragade1, Leslie Ying2

  • 1Department of Biomedical Engineering, State University of New York at Buffalo, Buffalo, NY ; Toshiba Stroke and Vascular Research Center, State University of New York at Buffalo, Buffalo, NY.

Proceedings of Spie--The International Society for Optical Engineering
|December 4, 2015
PubMed
Summary

Standardizing perfusion imaging systems is crucial for acute stroke assessment. A novel phantom demonstrates a reliable method for calibrating Cerebral Blood Flow (CBF), Cerebral Blood Volume (CBV), and Mean Transit Time (MTT) measurements.

Keywords:
Cerebral blood flow (CBF)Cerebral blood volume (CBV)Digital subtraction Angiography (DSA)Fick PrincipleMean transit time (MTT)Perfusion PhantomPerfusion systemsTime Density Curves (TDC)

More Related Videos

Meso-Scale Particle Image Velocimetry Studies of Neurovascular Flows In Vitro
08:00

Meso-Scale Particle Image Velocimetry Studies of Neurovascular Flows In Vitro

Published on: December 3, 2018

8.9K
Multimodal 3D Printing of Phantoms to Simulate Biological Tissue
05:11

Multimodal 3D Printing of Phantoms to Simulate Biological Tissue

Published on: January 11, 2020

8.2K

Related Experiment Videos

Last Updated: Mar 29, 2026

Development and Evaluation of 3D-Printed Cardiovascular Phantoms for Interventional Planning and Training
09:57

Development and Evaluation of 3D-Printed Cardiovascular Phantoms for Interventional Planning and Training

Published on: January 18, 2021

4.7K
Meso-Scale Particle Image Velocimetry Studies of Neurovascular Flows In Vitro
08:00

Meso-Scale Particle Image Velocimetry Studies of Neurovascular Flows In Vitro

Published on: December 3, 2018

8.9K
Multimodal 3D Printing of Phantoms to Simulate Biological Tissue
05:11

Multimodal 3D Printing of Phantoms to Simulate Biological Tissue

Published on: January 11, 2020

8.2K

Area of Science:

  • Medical Imaging
  • Neuroimaging
  • Radiology

Background:

  • Perfusion imaging is vital for acute stroke assessment, differentiating infarct core and ischemic penumbra using parameters like CBF, CBV, and MTT.
  • Significant variations exist in these parameters across vendors and software due to a lack of standardization, impacting reliability.
  • A critical need exists for standardized and reliable perfusion imaging systems in clinical practice.

Purpose of the Study:

  • To design and validate a uniform phantom for testing and verifying medical perfusion imaging systems.
  • To establish a systematic method for calibrating existing perfusion systems and assessing their reliability.

Main Methods:

  • A uniform phantom with a flow loop simulating different flow rates (250-350 ml/min) was used.
  • Digital Angiographic (DSA) system acquired projection images of the phantom with contrast injection.
  • Time Density Curves (TDC) were derived from contrast concentration measurements in arterial input, venous output, and perfused areas.

Main Results:

  • Maximum slope of TDCs increased linearly with flow rate; area under the curve decreased with increasing flow rate.
  • Calculated flow showed a 25% error compared to the measured flow.
  • Derived TDCs were clinically relevant, and calculated parameters (flow, max slope, area) were sensitive to measured flow.

Conclusions:

  • The developed phantom provides a systematic approach to calibrate perfusion imaging systems.
  • This method enhances the reliability and standardization of perfusion parameters crucial for acute stroke assessment.