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

You might also read

Related Articles

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

Sort by

Same author

Protocol for dissecting and excising the brain of the Manduca sexta (Lepidoptera: Sphingidae) moth.

Journal of insect science (Online)·2026

Same author

Pre- and Post-Treatment Diffusion-Weighted Imaging Characteristics of Sinonasal Adenoid Cystic Carcinoma.

Ear, nose, & throat journal·2025

Same author

Preoperative and Postoperative CT Imaging Assessment of Obstructive Sleep Apnea.

Journal of computer assisted tomography·2025

Same author

Assessment of commercially available artificial intelligence software for differentiating hemorrhage from contrast on head CT following thrombolysis for ischemic stroke.

Frontiers in neurology·2025

Same author

A postmortem high-resolution MRI study of the development of cochlear nerve-related structures in the second and third trimesters of pregnancy.

Quantitative imaging in medicine and surgery·2024

Same author

Empty chairs at the dinner table: Black-white disparities in exposure to household member deaths.

SSM - population health·2024

Same journal

Correction: A method for supervoxel-wise association studies of age and other non-imaging variables from coronary computed tomography angiograms.

Scientific reports·2026

Same journal

Poly(bromophenol blue)/CoSn(OH)<sub>6</sub> cubic particles modified pencil graphite electrode for electrochemical determination of diphenhydramine.

Scientific reports·2026

Same journal

Dietary Chlorella, Spirulina, and acidifier modulate jejunal cytokine-related gene expression in broiler chickens.

Scientific reports·2026

Same journal

Perceived physical activity barriers in university students: associations with fatigue and eating behaviours.

Scientific reports·2026

Same journal

Refuge limitation structures habitat use in agricultural landscapes: evidence from Sunda pangolins.

Scientific reports·2026

Same journal

Lightweight stateless transaction verification with outsourced witness updates for UTXO blockchains.

Scientific reports·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jan 16, 2026

Modeling and Simulations of Olfactory Drug Delivery with Passive and Active Controls of Nasally Inhaled Pharmaceutical Aerosols

Modeling and Simulations of Olfactory Drug Delivery with Passive and Active Controls of Nasally Inhaled Pharmaceutical Aerosols

Published on: May 20, 2016

Creating nasal cycle simulations by processing MRI and CT scan data with image morphing algorithms.

Isira A W Vithanage¹, Daniel Thomas Ginat², Angela R Dixon^3,4

¹Department of Mechanical and Aerospace Engineering, School of Engineering, Case Western Reserve University, Cleveland, OH, USA.

Scientific Reports

|September 30, 2025

Summary

This summary is machine-generated.

This study presents an image processing algorithm to predict nasal airway changes during the nasal cycle using MRI or CT scans. The tool accurately estimates nasal geometries at various congestion levels, aiding in physiological and surgical studies.

Keywords:

Image morphing Image processing algorithms Nasal airway morphology Nasal cycle Path planning

More Related Videos

3D Cine Magnetic Resonance Imaging of Respiratory Motion in Mechanically Ventilated Mice and Rats

3D Cine Magnetic Resonance Imaging of Respiratory Motion in Mechanically Ventilated Mice and Rats

Published on: September 19, 2025

Author Spotlight: Advancing Human Brain Modulation – Optimized Protocols for Transcranial Ultrasound Stimulation Experiments

Author Spotlight: Advancing Human Brain Modulation – Optimized Protocols for Transcranial Ultrasound Stimulation Experiments

Published on: June 28, 2024

Related Experiment Videos

Last Updated: Jan 16, 2026

Modeling and Simulations of Olfactory Drug Delivery with Passive and Active Controls of Nasally Inhaled Pharmaceutical Aerosols

Modeling and Simulations of Olfactory Drug Delivery with Passive and Active Controls of Nasally Inhaled Pharmaceutical Aerosols

Published on: May 20, 2016

3D Cine Magnetic Resonance Imaging of Respiratory Motion in Mechanically Ventilated Mice and Rats

3D Cine Magnetic Resonance Imaging of Respiratory Motion in Mechanically Ventilated Mice and Rats

Published on: September 19, 2025

Author Spotlight: Advancing Human Brain Modulation – Optimized Protocols for Transcranial Ultrasound Stimulation Experiments

Author Spotlight: Advancing Human Brain Modulation – Optimized Protocols for Transcranial Ultrasound Stimulation Experiments

Published on: June 28, 2024

Area of Science:

Medical Imaging
Computational Anatomy
Biomedical Engineering

Background:

The nasal cycle involves alternating nasal passage congestion and decongestion, impacting nasal function.
Understanding nasal cycle dynamics is crucial for nasal physiology and surgical planning.
Current methods for studying nasal cycle morphology are limited.

Purpose of the Study:

To develop and validate an image processing algorithm for predicting nasal airway morphology during the nasal cycle.
To utilize a single MRI or CT scan to estimate temporal variations in nasal geometry.
To assess the accuracy of predicted nasal geometries using different path planning models.

Main Methods:

A two-stage image processing pipeline: active contour (snake) algorithm followed by a path planning algorithm.
Active contour identifies corresponding nasal wall and turbinate points.
Path planning generates intermediate geometries between different congestion states.

Main Results:

The algorithm accurately predicted intermediate nasal turbinate geometries, with accuracies ranging from 70.73% to 92.17%.
Linear image morphing and A-star path planning models showed comparable prediction accuracies.
Cross-sectional area was used to characterize nasal airway geometry.

Conclusions:

The developed algorithm provides a reliable method for estimating nasal geometries across different nasal cycle congestion levels from single MRI/CT scans.
This tool can enhance the study of nasal physiology and inform surgical interventions.
Integration with computational modeling can further elucidate airflow dynamics and pathological states.