Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Sign Test for Matched Pairs

Sign Test for Matched Pairs

The sign test for matched pairs offers a robust method for comparing two paired samples, often for the effects of an intervention in one of them. This method is very useful in situations where the underlying distribution of the data is unknown. The test compares two related samples—often pre- and post-treatment measurements on the same subjects—to determine if there are significant differences in their median values.
To conduct the sign test, we first calculate the differences in value between...

You might also read

Related Articles

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

Sort by

Same author

MRI-Only Simulation for Prostate MRI-Guided SBRT.

Practical radiation oncology·2026

Same author

Open surgical treatment of a 34-year-old arteriovenous fistula of the lateral plantar artery after failed coil embolization.

Journal of vascular surgery cases and innovative techniques·2026

Same author

Impact of fine motor skills acquisition and psychological factors on sex-specific performance in early interventional radiology training.

Frontiers in medicine·2025

Same author

Clinical outcomes in spontaneous subarachnoid hemorrhage after introduction of continuous intra-arterial vasospasmolysis for treatment of refractory delayed cerebral ischemia.

Frontiers in neurology·2025

Same author

Transjugular intrahepatic portosystemic shunt with ePTFE-covered stentgrafts: incidence and predictors of shunt dysfunction.

Insights into imaging·2025

Same author

MRI imaging and machine learning based radiomics for detection of mixed HCC and CCA tumors.

Annals of hepatology·2025

Search research articles

Related Experiment Video

Updated: Jun 21, 2026

Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography

Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography

Published on: September 2, 2020

Graph-matching based CTA.

Dmitry Maksimov¹, Jürgen Hesser, Carolin Brockmann

¹Institute for Computational Medicine and Institute for Radio-Oncology and Radiotherapy, University Medical Centre Mannheim, University of Heidelberg, 69120 Heidelberg, Germany.

IEEE Transactions on Medical Imaging

|July 4, 2009

Summary

This study introduces a novel graph-based method for accurately separating bone, calcification, and vessels in computed tomography angiography (CTA) images, improving stenosis diagnosis.

More Related Videos

Rapid Setup of Tissue Microarray and Tiled Area Imaging on the Multiplexed Ion Beam Imaging Microscope Using the Tile/SED/Array Interface

Rapid Setup of Tissue Microarray and Tiled Area Imaging on the Multiplexed Ion Beam Imaging Microscope Using the Tile/SED/Array Interface

Published on: September 15, 2023

Related Experiment Videos

Last Updated: Jun 21, 2026

Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography

Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography

Published on: September 2, 2020

Rapid Setup of Tissue Microarray and Tiled Area Imaging on the Multiplexed Ion Beam Imaging Microscope Using the Tile/SED/Array Interface

Rapid Setup of Tissue Microarray and Tiled Area Imaging on the Multiplexed Ion Beam Imaging Microscope Using the Tile/SED/Array Interface

Published on: September 15, 2023

Area of Science:

Medical Imaging
Computer Vision
Biomedical Engineering

Background:

Accurate separation of bone, calcification, and vessels in computed tomography angiography (CTA) is crucial for diagnosing vessel stenosis.
Existing methods face challenges with substantial calcification and patient motion, particularly in elderly patients.

Purpose of the Study:

To present a new, accurate, graph-based technique for differentiating bone, calcification, and vessels in CTA data.
To evaluate the performance of this technique on challenging clinical cases.

Main Methods:

The approach utilizes attributed level-graphs derived from native and contrast-enhanced CTA datasets.
Dynamic programming is employed to match graphs and differentiate between bone and vessel/calcification.
A profile technique further separates lumen and calcified regions.

Main Results:

The method correctly identifies bone, calcification, and vessels in 80% of cases, validated against visual inspection.
Critical inconsistencies (6% of cases) were mainly associated with small vessels near CT resolution or adjacent to bone.
Deviations also occurred with iliac arteries due to slice thickness and orientation.

Conclusions:

The proposed graph-based technique offers high accuracy in separating anatomical structures in CTA.
The method shows promise for detailed diagnosis of vessel stenosis, especially in difficult cases.
Future improvements in CT resolution are expected to further enhance accuracy for challenging scenarios.