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

A Conditional Generative Diffusion Model of Trabecular Bone with Tunable Microstructure.

Proceedings of SPIE--the International Society for Optical Engineering·2025
Same author

Robot-Assisted Reduction of the Ankle Joint via Multi-Body 3D-2D Image Registration.

IEEE transactions on medical robotics and bionics·2025
Same author

Effects of non-stationary blur on texture biomarkers of bone using Ultra-High Resolution CT.

Proceedings of SPIE--the International Society for Optical Engineering·2024
Same author

Performance assessment of surgical tracking systems based on statistical process control and longitudinal QA.

Computer assisted surgery (Abingdon, England)·2023
Same author

Multi-Stage Adaptive Spline Autofocus (MASA) with a Learned Metric for Deformable Motion Compensation in Interventional Cone-Beam CT.

Proceedings of SPIE--the International Society for Optical Engineering·2023
Same author

Surgical navigation for guidewire placement from intraoperative fluoroscopy in orthopaedic surgery.

Physics in medicine and biology·2023
Same journal

AVA: Automated Viewability Analysis for Ureteroscopic Intrarenal Surgery.

Proceedings of SPIE--the International Society for Optical Engineering·2026
Same journal

Kidney Endoscopy Video to Preoperative CT Alignment for Depth Estimation.

Proceedings of SPIE--the International Society for Optical Engineering·2026
Same journal

Deep learning‑based cell type prediction in lung tissue from brightfield histology using CODEX-derived labels.

Proceedings of SPIE--the International Society for Optical Engineering·2026
Same journal

Reconstructing physiological signals from fMRI across the adult lifespan.

Proceedings of SPIE--the International Society for Optical Engineering·2026
Same journal

Axially Swept Light-Sheet Microscopy using scattering and fluorescence contrast mechanisms.

Proceedings of SPIE--the International Society for Optical Engineering·2026
Same journal

Analytic Bounds on GAMLSS Model Variability of Normative White Matter Brain Charts.

Proceedings of SPIE--the International Society for Optical Engineering·2026
See all related articles

Related Experiment Video

Updated: Jul 18, 2025

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

884

Incorporating Tissue Excision in Deformable Image Registration: A Modified Demons Algorithm for Cone-Beam CT-Guided

S Nithiananthan1, D Mirota2, A Uneri2

  • 1Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205.

Proceedings of Spie--The International Society for Optical Engineering
|August 25, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a novel deformable registration method for cone-beam CT (CBCT) guided surgery. The enhanced algorithm accurately accounts for excised tissue, improving intraoperative image guidance in head and neck procedures.

Keywords:
3D imagingC-armcone-beam CTflat-panel detectorhead and neck surgeryimage registrationimage-guided interventionssurgical navigation

More Related Videos

Cone Beam Intraoperative Computed Tomography-based Image Guidance for Minimally Invasive Transforaminal Interbody Fusion
05:37

Cone Beam Intraoperative Computed Tomography-based Image Guidance for Minimally Invasive Transforaminal Interbody Fusion

Published on: August 6, 2019

6.3K
Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
09:10

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Published on: August 5, 2021

1.8K

Related Experiment Videos

Last Updated: Jul 18, 2025

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

884
Cone Beam Intraoperative Computed Tomography-based Image Guidance for Minimally Invasive Transforaminal Interbody Fusion
05:37

Cone Beam Intraoperative Computed Tomography-based Image Guidance for Minimally Invasive Transforaminal Interbody Fusion

Published on: August 6, 2019

6.3K
Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
09:10

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Published on: August 5, 2021

1.8K

Area of Science:

  • Medical Imaging
  • Image Registration
  • Surgical Navigation

Background:

  • Intraoperative imaging, such as cone-beam CT (CBCT), is crucial for guiding head and neck surgery.
  • Existing deformable registration methods struggle with anatomical changes due to tissue excision during surgery.
  • Accurate registration is essential for real-time surgical adjustments and improved patient outcomes.

Purpose of the Study:

  • To investigate the feasibility of fast, accurate deformable registration for intraoperative images with surgical excisions.
  • To develop and evaluate a modified deformable registration algorithm capable of handling excised tissue.
  • To enhance the precision of CBCT-guided head and neck surgical procedures.

Main Methods:

  • Developed a novel deformable registration approach by incorporating an extra dimension to manage excised voxels.
  • Utilized a modified Demons deformable registration algorithm to address limitations with excised tissue.
  • Employed cadaveric CBCT images from a prototype C-arm to simulate surgical deformation and excision.

Main Results:

  • The modified algorithm successfully accounted for tissue excision during the registration process.
  • Registration performance was quantified, demonstrating accurate handling of anatomical changes.
  • The method avoided spurious deformations around excised tissue areas, ensuring registration integrity.

Conclusions:

  • The proposed deformable registration method effectively handles excised tissue in intraoperative imaging.
  • This advancement is well-suited for improving CBCT-guided head and neck surgical procedures.
  • The technique offers enhanced accuracy and reliability for real-time surgical navigation.