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

You might also read

Related Articles

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

Sort by

Same author

KIT-Targeting Drugs in the Management of Nonadvanced and Advanced Systemic Mastocytosis.

The journal of allergy and clinical immunology. In practice·2025

Same author

The Efficacy Comparison of Endoscopic Bariatric Therapies: 6-Month Versus 12-Month Intragastric Balloon Versus Endoscopic Sleeve Gastroplasty.

Obesity surgery·2022

Same author

The Use of Mobile Applications for the Diagnosis and Treatment of Tumors in Orthopaedic Oncology - a Systematic Review.

Journal of medical systems·2021

Same author

Imaging of the medial collateral ligament of the knee: a systematic review.

Archives of orthopaedic and trauma surgery·2021

Same author

Interface tracking characteristics of color-gradient lattice Boltzmann model for immiscible fluids.

Physical review. E·2020

Same author

Non-destructive position measurement of coasting beam using Schottky signals.

The Review of scientific instruments·2018

Same journal

AVA: Automated Viewability Analysis for Ureteroscopic Intrarenal Surgery.

Proceedings of SPIE--the International Society for Optical Engineering·2026

Same journal

Kidney Endoscopy Video to Preoperative CT Alignment for Depth Estimation.

Proceedings of SPIE--the International Society for Optical Engineering·2026

Same journal

Deep learning‑based cell type prediction in lung tissue from brightfield histology using CODEX-derived labels.

Proceedings of SPIE--the International Society for Optical Engineering·2026

Same journal

Reconstructing physiological signals from fMRI across the adult lifespan.

Proceedings of SPIE--the International Society for Optical Engineering·2026

Same journal

Axially Swept Light-Sheet Microscopy using scattering and fluorescence contrast mechanisms.

Proceedings of SPIE--the International Society for Optical Engineering·2026

Same journal

Analytic Bounds on GAMLSS Model Variability of Normative White Matter Brain Charts.

Proceedings of SPIE--the International Society for Optical Engineering·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Feb 17, 2026

$Comparison of Agreement and Accuracy using Binocular Wavefront Optometer with Autorefractor and Phoropter$

Comparison of Agreement and Accuracy using Binocular Wavefront Optometer with Autorefractor and Phoropter

Published on: September 16, 2025

Endoscopic-CT: Learning-Based Photometric Reconstruction for Endoscopic Sinus Surgery.

A Reiter¹, S Leonard¹, A Sinha¹

¹Johns Hopkins University, Dept. of Computer Science, Baltimore, MD, USA.

Proceedings of Spie--The International Society for Optical Engineering

|December 12, 2017

Summary

This summary is machine-generated.

This study introduces a novel method for 3D reconstruction of anatomical structures from endoscopic images using a learning-based approach. It achieves high-resolution reconstructions with minimal error, enhancing surgical visualization.

Keywords:

3D reconstruction shape from shading structure from motion video-CT registration

More Related Videos

Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery

Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery

Published on: July 5, 2021

Endoscopic Septoplasty with Limited Two-line Resection: Minimally Invasive Surgery for Septal Deviation

Endoscopic Septoplasty with Limited Two-line Resection: Minimally Invasive Surgery for Septal Deviation

Published on: June 20, 2018

Related Experiment Videos

Last Updated: Feb 17, 2026

$Comparison of Agreement and Accuracy using Binocular Wavefront Optometer with Autorefractor and Phoropter$

Comparison of Agreement and Accuracy using Binocular Wavefront Optometer with Autorefractor and Phoropter

Published on: September 16, 2025

Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery

Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery

Published on: July 5, 2021

Endoscopic Septoplasty with Limited Two-line Resection: Minimally Invasive Surgery for Septal Deviation

Endoscopic Septoplasty with Limited Two-line Resection: Minimally Invasive Surgery for Septal Deviation

Published on: June 20, 2018

Area of Science:

Medical Imaging
Computer Vision
Computational Anatomy

Background:

Accurate 3D reconstruction of anatomical structures is crucial for minimally invasive surgery.
Existing methods often rely on simplifying assumptions about light and surface properties, limiting accuracy.
Endoscopic imagery presents challenges due to variable lighting and complex surface interactions.

Purpose of the Study:

To develop a robust method for dense 3D reconstruction of anatomical structures from white light endoscopic imagery.
To improve the accuracy and extensibility of 3D reconstruction by learning patient-specific models.
To overcome limitations of traditional methods by avoiding unrealistic assumptions about light reflectance and sources.

Main Methods:

A learning-based approach estimating mapping between light reflectance and surface geometry.
Utilizing Structure-from-Motion (SfM) and Trimmed-ICP for accurate video-CT registration.
Employing a neural network for multivariate regression to estimate depth and surface normal maps from pixel values.

Main Results:

Achieved high-resolution 3D reconstructions with an average error between 0.53mm and 1.12mm.
Demonstrated accuracy on patient data, validated against CT scans.
Processed 206 endoscopic images, generating approximately 1 million 3D points per image.

Conclusions:

The proposed method offers accurate and detailed 3D reconstructions of anatomical structures from endoscopic data.
Patient-specific learning enhances accuracy and adaptability to diverse endoscopic sequences.
This technique holds potential for improved surgical planning and guidance.