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

Living alone and activation of the renin-angiotensin-aldosterone-system: Differential effects depending on alexithymic personality features.

Journal of psychosomatic research·2017
Same author

Corrigendum: 1000 Genomes-based meta-analysis identifies 10 novel loci for kidney function.

Scientific reports·2017
Same author

Use of Repeated Blood Pressure and Cholesterol Measurements to Improve Cardiovascular Disease Risk Prediction: An Individual-Participant-Data Meta-Analysis.

American journal of epidemiology·2017
Same author

Sex-specific metabolic profiles of androgens and its main binding protein SHBG in a middle aged population without diabetes.

Scientific reports·2017
Same author

Investigating the causal effect of smoking on hay fever and asthma: a Mendelian randomization meta-analysis in the CARTA consortium.

Scientific reports·2017
Same author

Defining Optimal Health Range for Thyroid Function Based on the Risk of Cardiovascular Disease.

The Journal of clinical endocrinology and metabolism·2017

Related Experiment Video

Updated: Mar 1, 2026

Lesion Explorer: A Video-guided, Standardized Protocol for Accurate and Reliable MRI-derived Volumetrics in Alzheimer's Disease and Normal Elderly
12:50

Lesion Explorer: A Video-guided, Standardized Protocol for Accurate and Reliable MRI-derived Volumetrics in Alzheimer's Disease and Normal Elderly

Published on: April 14, 2014

41.0K

Automatized spleen segmentation in non-contrast-enhanced MR volume data using subject-specific shape priors.

Oliver Gloger1, Klaus Tönnies2, Robin Bülow3

  • 1Institute for Community Medicine, University of Greifswald, Walther-Rathenau-Str. 48, 17475 Greifswald, Germany.

Physics in Medicine and Biology
|June 2, 2017
PubMed
Summary

This study introduces an automated 3D spleen segmentation framework using T1-weighted MRI. The novel approach accurately delineates spleen tissue and calculates volume, achieving high precision in segmentation.

More Related Videos

Author Spotlight: Bridging Gaps in Anatomy and Establishing a Foundation for Algorithmic Studies
04:25

Author Spotlight: Bridging Gaps in Anatomy and Establishing a Foundation for Algorithmic Studies

Published on: December 15, 2023

3.9K
High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain
10:06

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain

Published on: May 10, 2012

13.5K

Related Experiment Videos

Last Updated: Mar 1, 2026

Lesion Explorer: A Video-guided, Standardized Protocol for Accurate and Reliable MRI-derived Volumetrics in Alzheimer's Disease and Normal Elderly
12:50

Lesion Explorer: A Video-guided, Standardized Protocol for Accurate and Reliable MRI-derived Volumetrics in Alzheimer's Disease and Normal Elderly

Published on: April 14, 2014

41.0K
Author Spotlight: Bridging Gaps in Anatomy and Establishing a Foundation for Algorithmic Studies
04:25

Author Spotlight: Bridging Gaps in Anatomy and Establishing a Foundation for Algorithmic Studies

Published on: December 15, 2023

3.9K
High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain
10:06

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain

Published on: May 10, 2012

13.5K

Area of Science:

  • Medical Imaging
  • Radiology
  • Computational Anatomy

Background:

  • Accurate spleen segmentation is crucial for volumetric analysis in medical imaging.
  • Low contrast between spleen and adjacent tissues in non-contrast-enhanced MRI poses a challenge for automated segmentation.

Purpose of the Study:

  • To develop and validate a fully automated 3D spleen segmentation framework using T1-weighted MRI.
  • To address the challenge of low inter-tissue contrast in non-contrast-enhanced spleen imaging.

Main Methods:

  • A modular framework incorporating prior knowledge, including subject-specific 3D shape models.
  • Utilized support vector machines for classification of spleen regions and shape types.
  • Employed a 3D level set segmentation method guided by both image and shape-driven forces.

Main Results:

  • Achieved a mean Dice coefficient of approximately 0.91, indicating high segmentation accuracy.
  • Reported a low volumetric mean error of 6.3% for spleen volumetry.
  • Demonstrated successful spleen delineation in native T1-weighted MR volume data.

Conclusions:

  • The developed framework provides a robust solution for automated 3D spleen segmentation from T1-weighted MRI.
  • Integration of diverse prior shape knowledge enhances segmentation performance.
  • The approach is suitable for spleen delineation and volumetry in epidemiological studies.