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: Jul 4, 2026

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

Automated CIMT Measurement from Ultrasound Using Deep Learning with Uncertainty Estimation.

Iulia-Maria Zbîrcea^1,2, Oana-Sorina Chirila¹, Elena-Larisa Zimbru²

¹Department of Automation and Applied Informatics, "Politehnica" University of Timişoara, Timişoara, Romania.

Studies in Health Technology and Informatics

|July 3, 2026

Summary

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

Combined Exposure to Ragweed and House Dust Mite Exacerbates Airway Epithelial Barrier Dysfunction: A Multimodal Approach.

Medicina (Kaunas, Lithuania)·2026

Same author

Overcoming Domain Shift in Atypical Mitotic Figure Detection with Deep Ensemble Learning.

Studies in health technology and informatics·2026

Same author

Comparison of Loss Functions for Fibroglandular Tissue Segmentation in MRI.

Studies in health technology and informatics·2026

Same author

A Web Application for Structured Management and Reuse of Electronic Case Report Forms in REDCap.

Studies in health technology and informatics·2026

Same author

Context-Free Grammar-Guided Generation of FHIR Resources Using Large Language Models.

Studies in health technology and informatics·2026

Same author

Development and External Validation of a Deep Learning Model to Predict Mortality in Aneurysmal Subarachnoid Hemorrhage Using Admission Computed Tomography.

Neurosurgery·2026

Same journal

A GenAI Pipeline for Violinist Kinematic Data Management.

Studies in health technology and informatics·2026

Same journal

AMAL-For-Qatar: A Comprehensive AI Ecosystem for Fetal Ultrasound Analysis - Project Overview and Achievements.

Studies in health technology and informatics·2026

Same journal

Longitudinal Treatment-Aware Multimodal AI for Dermatology: A Scoping Review.

Studies in health technology and informatics·2026

Same journal

Predicting Postpartum Depression Using Imbalance-Aware Machine Learning.

Studies in health technology and informatics·2026

Same journal

Validation of Deep-Learning Models for Autosegmentation of Brain Metastases.

Studies in health technology and informatics·2026

Same journal

Delay-Dependent Gating in Modular RNNs.

Studies in health technology and informatics·2026

See all related articles

This summary is machine-generated.

We developed LUCID, a deep learning tool for measuring carotid intima-media thickness (CIMT) from ultrasound images. It accurately calculates CIMT and estimates uncertainty, improving cardiovascular risk assessment.

Area of Science:

Medical Imaging
Artificial Intelligence
Cardiovascular Medicine

Background:

Carotid intima-media thickness (CIMT) is crucial for cardiovascular risk assessment.
Manual CIMT measurement is labor-intensive and prone to variability.

Purpose of the Study:

Introduce LUCID, a deep learning pipeline for automated CIMT measurement.
Integrate uncertainty estimation for safer clinical application.

Main Methods:

A U-Net with a ResNet34 encoder for image segmentation.
Sub-pixel boundary extraction for precise CIMT calculation.
Monte Carlo Dropout with calibrated uncertainty estimation.

Main Results:

Achieved a mean absolute error of 0.142 mm on 500 expert-annotated images.

Keywords:

Carotid intima-media thickness medical image segmentation uncertainty estimation

Related Experiment Videos

Last Updated: Jul 4, 2026

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

Performance comparable to the best traditional methods.

Calibrated uncertainty estimation enables a clinical triage system.

Conclusions:

LUCID offers an efficient and accurate automated method for CIMT measurement.
Integrated uncertainty estimation enhances the safety and reliability of clinical deployment.
This represents a novel approach to CIMT analysis in cardiovascular screening.