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

Development of Blood Vessels01:07

Development of Blood Vessels

1.3K
The development of the vascular system in a fetus is a complex and intricate process that begins as early as 15 to 16 days post-conception. This process starts outside the embryo, specifically in the mesoderm of the yolk sac, chorion, and connecting stalk. Approximately two days later, the formation of blood vessels occurs within the embryo itself.
The initial formation of this system is facilitated by the small amount of yolk present in the ovum and yolk sac. Blood vessels originate from...
1.3K
Anatomy of Blood Vessels01:20

Anatomy of Blood Vessels

2.3K
The vascular system, an integral part of the circulatory system, comprises various blood vessels that play crucial roles in maintaining the body's homeostasis. These blood vessels form a complex and efficient circulatory network. The three primary categories of blood vessels are the arteries, veins, and capillaries.
Arteries
Arteries circulate oxygenated blood from the heart, except the pulmonary artery, which transports deoxygenated blood to the lungs. Large arteries, such as the aorta,...
2.3K

You might also read

Related Articles

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

Sort by
Same author

Betulinic acid ameliorates experimental diabetic-induced renal inflammation and fibrosis via inhibiting the activation of NF-κB signaling pathway.

Molecular and cellular endocrinology·2016
Same author

Primary pulmonary T-cell lymphoma mimicking pneumonia: A case report and literature review.

Experimental and therapeutic medicine·2016
Same author

Investigating polymorphisms by bioinformatics is a potential cost-effective method to screen for germline mutations in Chinese familial adenomatous polyposis patients.

Oncology letters·2016
Same author

Discovery and characterization of a novel potent type II native and mutant BCR-ABL inhibitor (CHMFL-074) for Chronic Myeloid Leukemia (CML).

Oncotarget·2016
Same author

Temporal Patterns in Bacterioplankton Community Composition in Three Reservoirs of Similar Trophic Status in Shenzhen, China.

International journal of environmental research and public health·2016
Same author

Expanding CRISPR/Cas9 Genome Editing Capacity in Zebrafish Using SaCas9.

G3 (Bethesda, Md.)·2016

Related Experiment Video

Updated: Dec 30, 2025

Visualization of Vascular and Parenchymal Regeneration after 70% Partial Hepatectomy in Normal Mice
11:10

Visualization of Vascular and Parenchymal Regeneration after 70% Partial Hepatectomy in Normal Mice

Published on: September 13, 2016

8.5K

A novel method to model hepatic vascular network using vessel segmentation, thinning, and completion.

Xiaoyu Guo1, Ruoxiu Xiao2, Tao Zhang3

  • 1School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, 100083, China.

Medical & Biological Engineering & Computing
|January 20, 2020
PubMed
Summary

This study presents an automated method for segmenting liver blood vessels from CT scans using graph cut and centerline extraction. The technique accurately reconstructs complete liver vascular networks, aiding in surgical planning.

Keywords:
Centerline extractionGraph cutVascular combination and optimizationVascular complementationVessel segmentation

More Related Videos

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

6.4K
Novel In Vivo Micro-Computed Tomography Imaging Techniques for Assessing the Progression of Non-Alcoholic Fatty Liver Disease
08:41

Novel In Vivo Micro-Computed Tomography Imaging Techniques for Assessing the Progression of Non-Alcoholic Fatty Liver Disease

Published on: March 24, 2023

1.6K

Related Experiment Videos

Last Updated: Dec 30, 2025

Visualization of Vascular and Parenchymal Regeneration after 70% Partial Hepatectomy in Normal Mice
11:10

Visualization of Vascular and Parenchymal Regeneration after 70% Partial Hepatectomy in Normal Mice

Published on: September 13, 2016

8.5K
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

6.4K
Novel In Vivo Micro-Computed Tomography Imaging Techniques for Assessing the Progression of Non-Alcoholic Fatty Liver Disease
08:41

Novel In Vivo Micro-Computed Tomography Imaging Techniques for Assessing the Progression of Non-Alcoholic Fatty Liver Disease

Published on: March 24, 2023

1.6K

Area of Science:

  • Medical Imaging
  • Computational Anatomy
  • Surgical Planning

Background:

  • Accurate modeling of the liver's vascular network is crucial for effective liver surgery planning.
  • Manual extraction of liver vessels from computed tomography (CT) images is labor-intensive and prone to errors.

Purpose of the Study:

  • To develop an automated method for segmenting and reconstructing complete liver vascular networks from abdominal CT images.
  • To improve the accuracy and efficiency of liver vessel segmentation for preoperative planning.

Main Methods:

  • Preprocessing CT images using sigmoid grayscale mapping, Hessian filter for vessel enhancement, and anisotropic filter for denoising.
  • Initial segmentation of liver vessels via an improved 3D graph cut algorithm.
  • Extraction of vessel centerlines using an iterative thinning algorithm and optimization for linking fractured portions.

Main Results:

  • The proposed algorithm accurately and effectively segments the hepatic vascular network structure from abdominal CT images.
  • The vascular complementation method successfully restores information from under-segmented liver vessels.
  • Validation using the 3D Image Reconstruction for Comparison of Algorithm Database (3Dircadb) demonstrated quantitative accuracy.

Conclusions:

  • The developed automated method provides a complete and accurate segmentation of the liver vascular network.
  • This approach significantly enhances the reliability of preoperative planning for liver surgeries.
  • The combination of graph cut, centerline extraction, and vessel completion offers a robust solution for hepatic vessel analysis.