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

Imaging Studies II: Positron Emission Tomography and Scintigraphy01:25

Imaging Studies II: Positron Emission Tomography and Scintigraphy

185
Positron Emission Tomography (PET) is a medical imaging technique that provides crucial insights into the body's physiological functions at a molecular level. It is an indispensable resource for diagnosing, staging, and monitoring various illnesses, notably cancer, neurological disorders, and cardiovascular conditions.
Fundamental Principles of PET
185
Positron Emission Tomography01:29

Positron Emission Tomography

4.3K
Positron emission tomography (PET) is a medical imaging technique involving radiopharmaceuticals — substances that emit short-lived radiation. Although the first PET scanner was introduced in 1961, it took 15 more years before radiopharmaceuticals were combined with the technique and revolutionized its potential.
One of the main requirements of a PET scan is a positron-emitting radioisotope, which is produced in a cyclotron and then attached to a substance used by the part of the body...
4.3K
Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

5.3K
Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
5.3K
Brain Imaging01:14

Brain Imaging

269
Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
269
Applications Of NMR In Biology01:25

Applications Of NMR In Biology

3.8K
Nuclear magnetic resonance (NMR) spectroscopy is a very valuable analytical technique for researchers. It has been used for more than 50 years as an analytical tool. F. Bloch and E. Purcell formulated NMR in 1946 and won the 1952 Nobel Prize in Physics  for their work. Biological macromolecules such as proteins, nucleic acids, lipids, and organic molecules including pharmaceutical compounds, can be studied using this versatile tool that exploits the magnetic properties of certain nuclei.
3.8K
Nuclear Magnetic Resonance (NMR): Overview01:07

Nuclear Magnetic Resonance (NMR): Overview

2.8K
Nuclear magnetic resonance (NMR) is a phenomenon exhibited by certain nuclei that can absorb characteristic radio frequency radiation under certain conditions. NMR has been extensively applied in molecular spectroscopy and medical diagnostic imaging. In both these applications, the molecule or subject under study is placed in a magnetic field and irradiated with radio frequency energy.
NMR spectroscopy generates a spectrum where the characteristic absorption frequencies of the sample are...
2.8K

You might also read

Related Articles

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

Sort by
Same author

A computer-aided diagnosis tool in prostate cancer patients with biochemical recurrence using 18F-PSMA PET/CT imaging.

Medical physics·2026
Same author

Decoding the Myocardium: Tracer-Aware Deep Learning for Patient-Level Classification in Stress-Rest SPECT Myocardial Perfusion Imaging.

Diagnostics (Basel, Switzerland)·2026
Same author

Whole-Body Dynamic Positron Emission and Computed Tomography (WBD-PET/CT): Latest Developments, Challenges and Opportunities.

Diagnostics (Basel, Switzerland)·2026
Same author

Cervical Cancer Brachytherapy Dose Escalation Protocol: Analysis of Early Data Treatments According to EMBRACE II Protocol.

Cureus·2026
Same author

Fibroblast Activation Protein Inhibitor (FAPI) PET: A Scoping Review of Emerging Oncologic and Fibroinflammatory Applications.

Diagnostics (Basel, Switzerland)·2026
Same author

The HGF/MET Axis in Advanced Prostate Cancer: From Context-Dependent Biology to Biomarker-Driven Therapeutic Strategies.

Cancers·2026

Related Experiment Video

Updated: Aug 1, 2025

PET and MRI Guided Irradiation of a Glioblastoma Rat Model Using a Micro-irradiator
10:48

PET and MRI Guided Irradiation of a Glioblastoma Rat Model Using a Micro-irradiator

Published on: December 28, 2017

9.6K

Artificial intelligence in Nuclear Medicine Physics and Imaging.

Konstantinos Papachristou1, Emmanouil Panagiotidis, Anna Makridou

  • 1Medical Physics Department, Cancer Hospital Thessaloniki "Theagenio", 2 AI Symeonidis str, 54007, Thessaloniki, Greece. anna.makridou@gmail.com.

Hellenic Journal of Nuclear Medicine
|April 28, 2023
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) enhances nuclear medicine (NM) imaging, including positron emission tomography (PET) and single-photon emission computed tomography (SPECT). This review details AI applications in NM physics and image reconstruction for improved diagnostic accuracy.

More Related Videos

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
07:53

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

1.5K
Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System
08:25

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System

Published on: April 11, 2018

15.4K

Related Experiment Videos

Last Updated: Aug 1, 2025

PET and MRI Guided Irradiation of a Glioblastoma Rat Model Using a Micro-irradiator
10:48

PET and MRI Guided Irradiation of a Glioblastoma Rat Model Using a Micro-irradiator

Published on: December 28, 2017

9.6K
Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
07:53

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

1.5K
Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System
08:25

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System

Published on: April 11, 2018

15.4K

Area of Science:

  • Nuclear Medicine and Molecular Imaging
  • Artificial Intelligence in Healthcare
  • Medical Imaging Physics

Background:

  • Artificial intelligence (AI) is increasingly vital in healthcare, particularly in nuclear medicine (NM) and molecular imaging.
  • AI offers significant benefits for diagnostic imaging modalities like positron emission tomography (PET) and single-photon emission computed tomography (SPECT).

Approach:

  • This review synthesizes the diverse applications of AI, machine learning (ML), and Deep Learning (DL) within NM.
  • It examines AI's role in NM imaging physics, covering attenuation maps, scatter estimation, depth of interaction (DOI), and time-of-flight (TOF).

Key Points:

  • AI algorithms are crucial for optimizing NM image reconstruction and developing low-dose imaging protocols.
  • Applications span the generation of attenuation maps and estimation of scattered events.
  • AI enhances depth of interaction (DOI) and time-of-flight (TOF) measurements in NM.

Conclusions:

  • AI, ML, and DL are transformative tools in nuclear medicine imaging.
  • These technologies significantly improve image quality, reconstruction accuracy, and radiation dose efficiency.
  • AI integration promises to advance diagnostic capabilities in PET and SPECT imaging.