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 Experiment Video

Updated: Sep 1, 2025

Unilateral Lung Volume Analysis Using Micro-CT for Enhanced Assessment of Pulmonary Fibrosis in Preclinical Models
03:38

Unilateral Lung Volume Analysis Using Micro-CT for Enhanced Assessment of Pulmonary Fibrosis in Preclinical Models

Published on: June 20, 2025

289

Correlation-Based Mutual Information Model for Analysis of Lung Cancer CT Image.

N Shanmuga Vadivu1, Gauri Gupta2, Quadri Noorulhasan Naveed3

  • 1Department of Electronics and Communications Engineering, RVS College of Engineering and Technology, Coimbatore, India.

Biomed Research International
|August 12, 2022
PubMed
Summary

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

Variational Autoencoders for Network Lifetime Enhancement in Wireless Sensors.

Sensors (Basel, Switzerland)·2024
Same author

Improved UNet Deep Learning Model for Automatic Detection of Lung Cancer Nodules.

Computational intelligence and neuroscience·2023
Same author

Cyclic GAN Model to Classify Breast Cancer Data for Pathological Healthcare Task.

BioMed research international·2022
Same author

Identification and Classification of Prostate Cancer Identification and Classification Based on Improved Convolution Neural Network.

BioMed research international·2022
Same author

Computational Models-Based Detection of Peripheral Malarial Parasites in Blood Smears.

Contrast media & molecular imaging·2022
Same author

An Intelligent Traffic Surveillance System Using Integrated Wireless Sensor Network and Improved Phase Timing Optimization.

Sensors (Basel, Switzerland)·2022

This study introduces a new lung cancer detection model using an adaptive thin-plate spline total variation regular term for improved CT and CT/PET image registration accuracy. The novel approach enhances early diagnosis by preserving local image characteristics and ensuring registration smoothness.

Area of Science:

  • Medical Imaging
  • Radiology
  • Computer-Aided Diagnosis

Background:

  • Lung cancer is a leading cause of mortality worldwide, necessitating early diagnosis for improved patient survival.
  • Current tumor detection methods, like CT scans, face limitations in accurately identifying cancerous regions.
  • Existing image registration techniques struggle to maintain local image characteristics and registration accuracy, particularly with discontinuous displacements.

Purpose of the Study:

  • To propose a novel correlation-based model for lung cancer analysis and image registration.
  • To develop an adaptive thin-plate spline total variation regular term to overcome limitations of existing methods.
  • To enhance the accuracy and reliability of lung image registration for improved diagnosis.

Main Methods:

More Related Videos

Author Spotlight: A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules
10:26

Author Spotlight: A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules

Published on: May 19, 2023

2.0K
Multifractal Spectrum Analysis for Assessing Pulmonary Nodule Malignancy
05:24

Multifractal Spectrum Analysis for Assessing Pulmonary Nodule Malignancy

Published on: January 10, 2025

500

Related Experiment Videos

Last Updated: Sep 1, 2025

Unilateral Lung Volume Analysis Using Micro-CT for Enhanced Assessment of Pulmonary Fibrosis in Preclinical Models
03:38

Unilateral Lung Volume Analysis Using Micro-CT for Enhanced Assessment of Pulmonary Fibrosis in Preclinical Models

Published on: June 20, 2025

289
Author Spotlight: A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules
10:26

Author Spotlight: A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules

Published on: May 19, 2023

2.0K
Multifractal Spectrum Analysis for Assessing Pulmonary Nodule Malignancy
05:24

Multifractal Spectrum Analysis for Assessing Pulmonary Nodule Malignancy

Published on: January 10, 2025

500
  • Development of an adaptive thin-plate spline total variation regular term by spatially weighting thin-plate spline and total variation operators.
  • Integration of the regular term with the CRMI similarity measure and L-BFGS optimization for nonrigid image registration.
  • Application of the proposed method to both single-mode CT and dual-mode CT/PET lung image registration.

Main Results:

  • The proposed method effectively assures interior image smoothness while preserving discontinuous border motion.
  • Experimental results demonstrated superior registration accuracy compared to existing methods.
  • Validation was performed on the DIR-Lab 4D-CT public dataset and a clinical CT/PET dataset.

Conclusions:

  • The novel registration model significantly improves accuracy in lung image analysis for cancer detection.
  • The adaptive regular term enhances the preservation of local image features, crucial for precise diagnosis.
  • This approach holds promise for advancing early lung cancer diagnosis through more accurate medical image registration.