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

CXCL12-abundant reticular cell lineage is the key source of endosteal osteoblasts and adipocytes in adult bone marrow.

Regenerative therapy·2026
Same author

Nitrite Protects Against Cardiac Surgery-Associated Acute Kidney Injury via Inflammation Suppression: Insights from a Rat Cardiopulmonary Bypass Model.

American journal of physiology. Renal physiology·2026
Same author

Sustained efficacy and long-term outcomes of autologous oral mucosal epithelial cell sheet transplantation for pediatric esophageal anastomotic restenosis.

Scientific reports·2026
Same author

Ultrastructural spectrum of oncocytic and chromophobe renal tumors: Insights from osmium maceration-based scanning electron microscopy of formalin-fixed tissues.

Biomedical research (Tokyo, Japan)·2026
Same author

Endometriosis-Associated Intestinal Tumor: A Case Report and Literature Review with Comprehensive Proteomic Data.

Surgical case reports·2026
Same author

High Immunohistochemical Expression of SETD5 as a Candidate Pathological Factor for Dedifferentiation and Prognosis in Liposarcoma.

Pathology international·2025

Related Experiment Video

Updated: Mar 23, 2026

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy
08:17

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy

Published on: June 7, 2015

16.3K

Markerless Lung Tumor Motion Tracking by Dynamic Decomposition of X-Ray Image Intensity.

Noriyasu Homma1, Yoshihiro Takai2, Haruna Endo3

  • 1Tohoku University Graduate School of Medicine, Sendai 980-8575, Japan.

Journal of Medical Engineering
|March 24, 2016
PubMed
Summary

This study introduces a novel markerless lung tumor tracking method using X-ray fluoroscopy for image-guided radiation therapy. The technique accurately extracts tumor motion, improving treatment precision without invasive markers.

More Related Videos

Author Spotlight: Standardization and Best Practices for Advancing Lung Imaging Using 129Xe MRI
09:08

Author Spotlight: Standardization and Best Practices for Advancing Lung Imaging Using 129Xe MRI

Published on: November 21, 2023

1.5K
Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
07:53

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

2.2K

Related Experiment Videos

Last Updated: Mar 23, 2026

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy
08:17

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy

Published on: June 7, 2015

16.3K
Author Spotlight: Standardization and Best Practices for Advancing Lung Imaging Using 129Xe MRI
09:08

Author Spotlight: Standardization and Best Practices for Advancing Lung Imaging Using 129Xe MRI

Published on: November 21, 2023

1.5K
Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
07:53

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

2.2K

Area of Science:

  • Medical Physics
  • Radiology
  • Image Processing

Background:

  • Image-guided radiation therapy (IGRT) requires precise tracking of lung tumors.
  • Current marker-based tracking techniques can be invasive and pose risks.
  • Real-time tumor motion data is crucial for accurate radiation delivery.

Purpose of the Study:

  • To develop a novel markerless tracking technique for lung tumor motion using X-ray fluoroscopic sequences.
  • To enable real-time image-guided radiation therapy (IGRT) with enhanced accuracy.
  • To overcome limitations of current marker-based tracking methods.

Main Methods:

  • A new technique to extract a moving tumor intensity component from X-ray fluoroscopic images.
  • Decomposition of fluoroscopic intensity into tumor and non-tumor components.
  • Utilizing temporally accumulated constraints to solve the ill-posed decomposition problem.

Main Results:

  • Successfully extracted tumor intensity components from fluoroscopic images.
  • Achieved accurate tumor motion tracking with an error less than 1 mm for clinical datasets.
  • Demonstrated markerless tracking capability, eliminating the need for implanted markers.

Conclusions:

  • The proposed markerless tracking method is highly effective for lung tumors in IGRT.
  • The technique offers a significant advancement in non-invasive, real-time tumor motion monitoring.
  • This method holds promise for improving the safety and efficacy of radiation therapy for lung cancer.