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

Search research articles

Related Experiment Video

Updated: May 14, 2026

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Published on: June 21, 2024

Plane-based sampling for ray casting algorithm in sequential medical images.

Lili Lin¹, Shengyong Chen, Yan Shao

¹School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China.

Computational and Mathematical Methods in Medicine

|February 21, 2013

Summary

This summary is machine-generated.

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

Mechanisms of Enhanced Efficiency and Stability in Perovskite Luminescence via Rb Interstitial Doping.

The journal of physical chemistry letters·2025

Same author

Unveiling the migration reactivity of bicyclic diaziridines: enantioselective synthesis of chiral pyrazolines.

Chemical science·2025

Same author

Retromer Regulates Macro- and Micro-Autophagy via Distinct Vacuolar Proteases in the Rice Blast Fungus.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2025

Same author

Putative SET domain-containing proteins play significant roles in regulating sporulation and pathogenicity in Phytophthora capsici.

Microbiological research·2025

Same author

Auxiliary Value of [<sup>18</sup>F]F-Fluorocholine PET/CT in Evaluating Post-Stereotactic Radiosurgery Recurrence of Lung Cancer Brain Metastases: A Comparative Analysis with Contrast-Enhanced MRI.

Cancers·2025

Same author

Lili Lin.

Angewandte Chemie (International ed. in English)·2025

Same journal

Correction to "Mathematical Modelling of COVID-19 Transmission in Kenya: A Model with Reinfection Transmission Mechanism".

Computational and mathematical methods in medicine·2025

Same journal

RETRACTION: Ligustrazine Inhibits Lung Phosphodiesterase Activity in a Rat Model of Allergic Asthma.

Computational and mathematical methods in medicine·2025

Same journal

RETRACTION: Delivery of miR-224-5p by Exosomes from Cancer-Associated Fibroblasts Potentiates Progression of Clear Cell Renal Cell Carcinoma.

Computational and mathematical methods in medicine·2025

Same journal

RETRACTION: Empirical Analysis of the Nursing Effect of Intelligent Medical Internet of Things in Postoperative Osteoarthritis.

Computational and mathematical methods in medicine·2025

Same journal

RETRACTION: Evaluation and Analysis of the Intervention Effect of Systematic Parent Training Based on Computational Intelligence on Child Autism.

Computational and mathematical methods in medicine·2024

Same journal

RETRACTION: Humanistic Spirit Training of Medical Students Based on Multisource Medical Data Fusion.

Computational and mathematical methods in medicine·2024

See all related articles

A new plane-based sampling method enhances the Ray Casting Algorithm (RCA) for faster 3D biomedical model reconstruction. This approach significantly speeds up rendering while maintaining excellent image quality.

Area of Science:

Biomedical imaging
Computer-aided diagnosis
Medical visualization

Background:

Traditional Ray Casting Algorithm (RCA) faces limitations in speed for 3D biomedical model reconstruction.
Efficient reconstruction of 3D models from sequential images is crucial for medical diagnosis and surgical planning.

Purpose of the Study:

To introduce a novel plane-based sampling method to accelerate the Ray Casting Algorithm (RCA).
To improve the efficiency of three-dimensional (3D) biomedical model reconstruction from sequential image data.

Main Methods:

A plane-based sampling strategy was developed, utilizing equidistant parallel planes within the volume dataset.
Optical properties of sampling points are determined by ray intersections with these parallel planes.
The proposed method modifies the traditional Ray Casting Algorithm (RCA).

More Related Videos

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph

Published on: February 21, 2025

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging

Published on: September 11, 2011

Related Experiment Videos

Last Updated: May 14, 2026

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Published on: June 21, 2024

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph

Published on: February 21, 2025

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging

Published on: September 11, 2011

Main Results:

The novel method achieved a rendering speed improvement of over three times compared to the conventional Ray Casting Algorithm (RCA).
High image quality was maintained, ensuring the reliability of the reconstructed 3D biomedical models.
The plane-based sampling effectively enhances reconstruction speed without compromising visual fidelity.

Conclusions:

The proposed plane-based sampling method offers a significant speed enhancement for 3D biomedical model reconstruction using RCA.
This advancement provides a more efficient tool for medical visualization and analysis.
The method presents a viable solution for accelerating the processing of volumetric medical image data.