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

Vertebral Column: Regions and Curvature01:16

Vertebral Column: Regions and Curvature

3.8K
The vertebral column or spine is a flexible column that supports the head, neck, and body and  allows for their movements. It also protects the spinal cord.
Regions of the Vertebral Column
In an adult, the spine is subdivided into five regions: the cervical, the thoracic, the lumbar, the sacral, and the coccygeal region. The spine initially develops as a series of 33 vertebrae; after 20 years of age, the nine bones in the sacral region, five sacral, and four coccygeal bones fuse to form...
3.8K

You might also read

Related Articles

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

Sort by
Same author

Triple Synergistic Modulation via Sn Doping in Tetrahedrites: Electronic Structure, DOS, and Scattering Engineering for a High Thermoelectric Performance.

ACS applied materials & interfaces·2025
Same author

Effect of 1-DNJ on Oxidative Stress-Induced Apoptosis in Porcine Ovarian GCs Through Modulation of the PERK-ATF4/MFN2 Signaling Pathway.

Antioxidants (Basel, Switzerland)·2025
Same author

Large-sized aerobic granular biofilm: stable biotechnology to improve nitrogen removal and reduce sludge yield.

Bioresource technology·2025
Same author

Effects of acceptance and commitment therapy plus exercise for older adults with chronic low back pain: A preliminary cluster randomized controlled trial with qualitative interviews.

The journal of pain·2025
Same author

Precisely tuning the electronic states of organic polymer electrocatalysts via thiophene-based moieties for enhanced oxygen reduction reaction.

iScience·2025
Same author

Design of self-assembled micelles based on natural dual-targeting strategies and evaluation of their anti-liver cancer effects as drug delivery systems.

NPJ precision oncology·2025
Same journal

Effective contrast-enhanced preprocessing for intracranial artery segmentation in digital subtraction angiography.

Physics in medicine and biology·2026
Same journal

Improving Plan Quality in Adaptive Proton Therapy Using an Interactive Dose Modification Tool.

Physics in medicine and biology·2026
Same journal

Technical Note: Real-Time MLC Control and Latency Measurement Optimization with External Verification.

Physics in medicine and biology·2026
Same journal

Fetus-Specific Hematopoietic Stem Cell Dosimetry Framework for Leukemia-Relevant Target Cells During Prenatal Development.

Physics in medicine and biology·2026
Same journal

Deep learning-based dose prediction to enhance planning efficiency in cervical brachytherapy with hybrid applicators.

Physics in medicine and biology·2026
Same journal

Corrigendum: Referenceless MR thermometry-a comparison of five methods (2017<i>Phys. Med. Biol</i>.<b>62</b>1-16).

Physics in medicine and biology·2026
See all related articles

Related Experiment Video

Updated: Jul 23, 2025

A Spine Robotic-Assisted Navigation System for Pedicle Screw Placement
06:24

A Spine Robotic-Assisted Navigation System for Pedicle Screw Placement

Published on: May 11, 2020

8.9K

Improving pedicle screw path planning by vertebral posture estimation.

Yunxian Zhang1,2, Wenhai Liu1,2, Jingwei Zhao3

  • 1School of Biomedical Engineering, Capital Medical University, Beijing, People's Republic of China.

Physics in Medicine and Biology
|July 13, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces YOLOPOSE3D for robot-assisted spinal surgery, improving pedicle screw placement accuracy by estimating vertebral posture. The new method enhances surgical planning, leading to better clinical outcomes and fewer complications.

Keywords:
pedicle screw path planningrobotic surgeryscoliosis spinesspine internal fixationvertebral posture detection

More Related Videos

Pedicle Screw Placement Using an Augmented Reality Head-Mounted Display in a Porcine Model
06:18

Pedicle Screw Placement Using an Augmented Reality Head-Mounted Display in a Porcine Model

Published on: May 24, 2024

2.2K
An Anesthesia, Surgery, and Harvest Method for the Evaluation of Transpedicular Screws Using an In Vivo Porcine Lumbar Spine Model
09:07

An Anesthesia, Surgery, and Harvest Method for the Evaluation of Transpedicular Screws Using an In Vivo Porcine Lumbar Spine Model

Published on: May 31, 2017

7.7K

Related Experiment Videos

Last Updated: Jul 23, 2025

A Spine Robotic-Assisted Navigation System for Pedicle Screw Placement
06:24

A Spine Robotic-Assisted Navigation System for Pedicle Screw Placement

Published on: May 11, 2020

8.9K
Pedicle Screw Placement Using an Augmented Reality Head-Mounted Display in a Porcine Model
06:18

Pedicle Screw Placement Using an Augmented Reality Head-Mounted Display in a Porcine Model

Published on: May 24, 2024

2.2K
An Anesthesia, Surgery, and Harvest Method for the Evaluation of Transpedicular Screws Using an In Vivo Porcine Lumbar Spine Model
09:07

An Anesthesia, Surgery, and Harvest Method for the Evaluation of Transpedicular Screws Using an In Vivo Porcine Lumbar Spine Model

Published on: May 31, 2017

7.7K

Area of Science:

  • Spinal Surgery
  • Robotics
  • Medical Imaging

Background:

  • Robot-assisted pedicle screw placement offers potential benefits but requires precise pre-operative planning.
  • Existing methods often overlook anatomical variations or demand significant manual input.
  • Accurate vertebral posture estimation is crucial for high-quality surgical navigation.

Purpose of the Study:

  • To develop an improved approach for pedicle screw path planning using a novel neural network.
  • To address limitations of current technologies in handling vertebral anatomical variations and human interaction.
  • To enhance the accuracy and success rate of robot-assisted pedicle screw placement.

Main Methods:

  • Proposed YOLOPOSE3D, an enhanced YOLO-type neural network, for estimating vertebral posture (rotation quaternion and 3D coordinates).
  • Optimized vertebra-to-prediction overlap to refine posture estimation.
  • Established a local coordinate system based on estimated posture for pedicle screw path planning via multiple projections.

Main Results:

  • YOLOPOSE3D achieved high accuracy in detecting vertebral location and posture, with average errors of 1.55 mm and 2.55°.
  • Pedicle screw path planning success rate reached 83.1% for lumbar vertebrae (L1-L5), surpassing manual planning (82.4%).
  • Achieved nearly 100% success rate meeting clinical Class A requirements ( < 2 mm deviation from pedicle cortex).

Conclusions:

  • The YOLOPOSE3D method accurately determines vertebral postures, crucial for surgical planning.
  • Improved posture estimation enhances the precision of robot-assisted pedicle screw placement.
  • This approach promises better clinical outcomes in spinal internal fixation procedures.