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

Imaging Studies I: CT and MRI

Imaging Studies I: CT and MRI

Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...

Introduction and Methods of Leveling

Introduction and Methods of Leveling

Leveling is a surveying procedure used to determine elevation differences between distant points. Elevation refers to the vertical distance above or below a reference datum, typically mean sea level (MSL). In the United States, elevations are often referenced to the mean sea level station at Father Point Rimouski along the St. Lawrence Seaway. To make the datum accessible, permanent markers are established throughout the region. These markers, called benchmarks, have known elevations. If the...

Maxwell-Boltzmann Distribution: Problem Solving

Maxwell-Boltzmann Distribution: Problem Solving

Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by

Machines

Machines

Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...

Levels of Organization

Levels of Organization

Biological organization is the classification of biological structures, ranging from atoms at the bottom of the hierarchy to the Earth's biosphere. Each level of the hierarchy represents an increase in complexity that builds upon the previous level.
Molecules Are Composed of Atoms, and Biomolecules Are Assembled from Molecules:
The most basic levels include atoms, molecules, and biomolecules. Atoms, the smallest unit of ordinary matter, are composed of a nucleus and electrons. Molecules...

Machines: Problem Solving II

Machines: Problem Solving II

Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.

You might also read

Related Articles

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

Sort by

Same author

The role of diffusion-weighted MRI in biological image-guided radiation therapy: a roadmap.

Physics in medicine and biology·2026

Same author

A respiratory motion analysis for guiding stereotactic arrhythmia radiotherapy motion management.

Medical physics·2026

Same author

Generative restoration for cardiac PET attenuation correction: a two-stage 3D DDIM framework optimizing fidelity and clinical controllability.

EJNMMI physics·2026

Same author

Model-unrolled fast MRI with weakly supervised lesion enhancement.

Medical image analysis·2025

Same author

A motion analysis of cardiac substructures for guiding stereotactic arrhythmia radiotherapy motion management.

Medical physics·2025

Same author

Collaborative and privacy-preserving cross-vendor united diagnostic imaging via server-rotating federated machine learning.

Communications engineering·2025

Search research articles

Related Experiment Video

Updated: Feb 11, 2026

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

A deep Boltzmann machine-driven level set method for heart motion tracking using cine MRI images.

Jian Wu¹, Thomas R Mazur¹, Su Ruan²

¹Department of Radiation Oncology, Washington University, St. Louis, MO 63110, USA.

Medical Image Analysis

|April 22, 2018

Summary

This study introduces a novel deep generative shape model to improve automatic heart motion tracking for radiation therapy. The method enhances accuracy by integrating shape variations into level set evolution, aiding radiation-induced cardiotoxicity reduction.

Keywords:

Deep Boltzmann machine Distance regularized level-set evolution Generative shape model Heart motion tracking MRI-guided radiation therapy

More Related Videos

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation

Published on: January 7, 2021

Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking

Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking

Published on: February 12, 2011

Related Experiment Videos

Last Updated: Feb 11, 2026

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

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation

Published on: January 7, 2021

Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking

Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking

Published on: February 12, 2011

Area of Science:

Medical Imaging
Computational Biology
Radiation Oncology

Background:

Accurate heart motion tracking is crucial for radiation therapy planning to minimize radiation-induced cardiotoxicity.
Challenges in automatic heart motion tracking include complex cardiac anatomy, dynamic shape changes, and image quality limitations.

Purpose of the Study:

To develop and evaluate a deep generative shape model-driven level set method for robust automatic heart motion tracking.
To address limitations in current heart motion tracking techniques for radiation therapy applications.

Main Methods:

A deep generative shape model was created using a three-layered deep Boltzmann machine (DBM) to capture statistical heart shape variations.
A distance regularized level-set evolution (DRLSE) method was employed for heart contour delineation on cine MRI sequences.
The DBM shape model was integrated into the DRLSE as a shape prior to constrain contour evolution, with frame-by-frame tracking achieved through iterative initialization.

Main Results:

The proposed method demonstrated effective heart motion tracking on thirty-eight coronal cine MRI sequences.
The integration of a deep generative shape model improved the accuracy and robustness of the level set-based contour tracking.

Conclusions:

The developed deep generative shape model-driven level set method offers a promising solution for accurate heart motion tracking in radiation therapy.
This approach can enhance motion management strategies, contributing to reduced radiation-induced cardiotoxicity.