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

Overexpression of HHLA2 in human clear cell renal cell carcinoma is significantly associated with poor survival of the patients.

Cancer cell international·2019
Same author

Clinical presentation and prognosis of immunoglobulin light-chain amyloidosis with high percentage of bone marrow plasma cells.

Leukemia research·2019
Same author

In Situ X-ray Absorption Spectroscopic Investigation of the Capacity Degradation Mechanism in Mg/S Batteries.

Nano letters·2019
Same author

High throughput automatic muscle image segmentation using parallel framework.

BMC bioinformatics·2019
Same author

Expandable Immunotherapeutic Nanoplatforms Engineered from Cytomembranes of Hybrid Cells Derived from Cancer and Dendritic Cells.

Advanced materials (Deerfield Beach, Fla.)·2019
Same author

Artemisinin resistance-associated markers in Plasmodium falciparum parasites from the China-Myanmar border: predicted structural stability of K13 propeller variants detected in a low-prevalence area.

PloS one·2019

Related Experiment Video

Updated: Jun 23, 2026

An In Vitro 3D Model and Computational Pipeline to Quantify the Vasculogenic Potential of iPSC-Derived Endothelial Progenitors
06:36

An In Vitro 3D Model and Computational Pipeline to Quantify the Vasculogenic Potential of iPSC-Derived Endothelial Progenitors

Published on: May 13, 2019

A statistical assembled deformable model (SAMTUS) for vasculature reconstruction.

Jun Feng1, Horace H S Ip

  • 1Image Computing Group, Department of Computer Science, City University of Hong Kong, Hong Kong. fengjun@nwu.edu.cn

Computers in Biology and Medicine
|May 9, 2009
PubMed
Summary

This study introduces a novel statistical assembled model for tubular structures (SAMTUS) to accurately segment entire tubular structures in 3D medical data. The SAMTUS model enables precise quantification of vasculature morphology and volume, crucial for research applications.

More Related Videos

A Full Skin Defect Model to Evaluate Vascularization of Biomaterials In Vivo
07:56

A Full Skin Defect Model to Evaluate Vascularization of Biomaterials In Vivo

Published on: August 28, 2014

Rapid Whole-Mount High-Resolution Imaging of Small Animal Vasculature for Quantitative Studies
08:49

Rapid Whole-Mount High-Resolution Imaging of Small Animal Vasculature for Quantitative Studies

Published on: May 23, 2025

Related Experiment Videos

Last Updated: Jun 23, 2026

An In Vitro 3D Model and Computational Pipeline to Quantify the Vasculogenic Potential of iPSC-Derived Endothelial Progenitors
06:36

An In Vitro 3D Model and Computational Pipeline to Quantify the Vasculogenic Potential of iPSC-Derived Endothelial Progenitors

Published on: May 13, 2019

A Full Skin Defect Model to Evaluate Vascularization of Biomaterials In Vivo
07:56

A Full Skin Defect Model to Evaluate Vascularization of Biomaterials In Vivo

Published on: August 28, 2014

Rapid Whole-Mount High-Resolution Imaging of Small Animal Vasculature for Quantitative Studies
08:49

Rapid Whole-Mount High-Resolution Imaging of Small Animal Vasculature for Quantitative Studies

Published on: May 23, 2025

Area of Science:

  • Medical imaging analysis
  • Computational anatomy
  • Biomedical engineering

Background:

  • Deformable models are widely used for segmenting isolated anatomical structures.
  • Segmentation of tubular structures, like vasculature, remains a challenge in 3D volumetric data.
  • Existing methods lack robust statistical models for entire tubular systems.

Purpose of the Study:

  • To propose a novel statistical assembled model for tubular structures (SAMTUS) for segmenting entire tubular structures in 3D data.
  • To develop a method that accurately captures both axial and cross-sectional variations of tubular anatomy.
  • To enable precise quantification of tubular structure morphology and volume.

Main Methods:

  • Developed a statistical assembled model for tubular structures (SAMTUS) comprising a statistical axis model (SAM) and a statistical surface model (SSM).
  • Assembled SAM and SSM from branch segments using control points for robust point matching.
  • Implemented a three-stage segmentation process: initialization, model fitting, and final refinement.

Main Results:

  • The SAMTUS model successfully segmented entire tubular structures from 3D volumetric data.
  • Achieved accurate point correspondence and captured a wide range of deformation modes.
  • Demonstrated good quantification of morphology and volume for zebrafish vasculature.

Conclusions:

  • SAMTUS provides a robust and accurate method for segmenting entire tubular structures.
  • The model's ability to quantify morphology and volume is valuable for research, particularly in drug screening and genomic studies using zebrafish.
  • This work represents a significant advancement in statistical deformable models for tubular anatomy segmentation.