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

Computed Tomography01:10

Computed Tomography

9.2K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
9.2K
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

511
DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
511
Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

1.0K
Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
1.0K

You might also read

Related Articles

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

Sort by
Same author

Automatic Personal Identification Using a Single MRI Slice.

Bioengineering (Basel, Switzerland)·2026
Same author

AI-Based Angle Map Analysis of Facial Asymmetry in Peripheral Facial Palsy.

Bioengineering (Basel, Switzerland)·2026
Same author

Personal identification via matching of curved multiplanar computed tomography reconstructions and panoramic radiographs.

PloS one·2025
Same author

Automated identification of unknown decedents: matching postmortem CT images with clinical databases.

International journal of legal medicine·2025
Same author

Computer vision-based personal identification using 2D maximum intensity projection CT images.

European radiology·2025
Same author

Deep learning for forensic age estimation using orthopantomograms in children, adolescents, and young adults.

European radiology·2025
Same journal

Giant Mandibular Aneurysmal Bone Cyst in a 14-year old: A Rare Case with Comprehensive Radiological Assessment.

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin·2026
Same journal

From Dangerous Anastomosis to Safe Access: Infraorbital-Supratrochlear ECA-ICA Connection in Forehead AVF Embolization.

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin·2026
Same journal

Correction: Analgosedation in interventional radiology.

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin·2026
Same journal

Spectrum of Interstitial Lung Disease in Sarcoidosis.

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin·2026
Same journal

[Distal iliotibial tract friction syndrome: MRI Characteristics].

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin·2026
Same journal

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin·2026
See all related articles

Related Experiment Video

Updated: Mar 6, 2026

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

1.6K

A Review on Automatic Personal Identification Using Panoramic Radiographs and Computed Tomography.

Andreas Heinrich1

  • 1Institute for Diagnostic and Interventional Radiology, Jena University Hospital, Jena, Germany.

Rofo : Fortschritte Auf Dem Gebiete Der Rontgenstrahlen Und Der Nuklearmedizin
|March 4, 2026
PubMed
Summary
This summary is machine-generated.

Radiology enables automated identification of unknown individuals using unique anatomical features in medical images. Descriptor-based computer vision is robust for large databases, while deep learning shows promise but needs further validation.

More Related Videos

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
09:10

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Published on: August 5, 2021

2.4K
Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

43.7K

Related Experiment Videos

Last Updated: Mar 6, 2026

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

1.6K
Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
09:10

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Published on: August 5, 2021

2.4K
Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

43.7K

Area of Science:

  • Forensic Radiology
  • Medical Imaging Analysis
  • Biometrics

Background:

  • Identifying unknown individuals is a critical challenge in forensic and emergency medicine.
  • Radiological images offer unique anatomical features for personal identification.
  • Current applications of radiology-based identification are largely experimental.

Purpose of the Study:

  • To review current methods for automatic radiology-based personal identification.
  • To evaluate the performance of these identification methods.
  • To highlight potential applications in forensic and clinical settings.

Main Methods:

  • A narrative review of studies published from 2018 onwards was conducted.
  • PubMed and Google Scholar were used for literature search.
  • Studies involving automated or semi-automated identification using panoramic radiographs (PR) or computed tomography (CT) were included.

Main Results:

  • 32 studies were included, focusing on PR-to-PR, CT-to-CT, and CT-to-PR identification.
  • Descriptor-based computer vision was the most common approach (9 studies).
  • Deep learning methods showed promise for feature extraction, classification, and bone segmentation.

Conclusions:

  • Descriptor-based computer vision is flexible and robust for large-database comparisons and postmortem identification.
  • Deep learning approaches require further validation for cross-individual matching.
  • Standardized databases and automated pipelines are crucial for advancing radiology-based identification.