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

Irritable Bowel Syndrome II: Clinical Features and Diagnostic Evaluation01:30

Irritable Bowel Syndrome II: Clinical Features and Diagnostic Evaluation

783
Irritable Bowel Syndrome II: Clinical Features and Diagnostic Evaluation
Irritable Bowel Syndrome (IBS) is classified into subtypes based on the predominant bowel habits as determined by the Bristol Stool Form Scale (BSFS). The subtypes are:
783
Peripheral Arterial Disease II: Clinical Manifestations and Diagnostic Evaluation01:21

Peripheral Arterial Disease II: Clinical Manifestations and Diagnostic Evaluation

430
Clinical manifestationsPeripheral Arterial Disease (PAD) manifests through a range of symptoms, from the characteristic intermittent claudication to atypical presentations and severe complications in advanced stages. Intermittent claudication, a hallmark symptom of PAD, presents as exercise-induced muscle pain that typically resolves within minutes of rest. This pain is reproducible and stems from inadequate blood flow, leading to the accumulation of lactic acid produced during anaerobic...
430
Role of Communication in the Nursing Process III: Evaluation and Documentation01:08

Role of Communication in the Nursing Process III: Evaluation and Documentation

2.0K
A successful patient outcome depends mainly on the evaluation stage of the nursing process. Evaluation determines effectiveness by reviewing what was done previously after the completion of nursing interventions. Every time a healthcare professional steps in or administers treatment, they must reassess or evaluate the action to ensure the intended result. During the evaluation phase, there are three probable patient outcomes:
2.0K
Avoidance Learning and Learned Helplessness01:14

Avoidance Learning and Learned Helplessness

2.6K
Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
2.6K
Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

18.7K
Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
18.7K
Integration by Parts: Indefinite Integrals01:26

Integration by Parts: Indefinite Integrals

171
Integration by parts is a fundamental technique in calculus for evaluating integrals involving the product of two functions. It is particularly useful when direct integration is not feasible. The method is based on the product rule for differentiation, which states that the derivative of a product equals the derivative of the first function times the second, plus the first function times the derivative of the second. By integrating this identity and rearranging terms, the integration by parts...
171

You might also read

Related Articles

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

Sort by
Same author

CT-based deep learning predicts immunotherapy response in esophageal squamous cell cancer patients.

Journal of thoracic disease·2026
Same author

[Correlation between the C-reactive protein-albumin-lymphocyte count index and the 90-day prognosis of patients with acute ischemic stroke undergoing reperfusion therapy].

Zhonghua wei zhong bing ji jiu yi xue·2026
Same author

Levofloxacin-Induced Cutaneous Adverse Reactions: Characteristics and Rational Use Strategies.

Medical science monitor : international medical journal of experimental and clinical research·2026
Same author

Interfacial stabilization enabled by triethyl borate for high-voltage batteries with a wide temperature range.

Materials horizons·2026
Same author

Rational design of active pharmaceutical ingredient-based co-assembled nanoparticles for cancer immunotherapy.

Journal of controlled release : official journal of the Controlled Release Society·2026
Same author

Detection of clinically significant drug-drug interactions in serotonin syndrome: a multisource real-world data and pharmacovigilance study.

Therapeutic advances in drug safety·2026

Related Experiment Video

Updated: Feb 1, 2026

Functional Imaging of Brown Fat in Mice with 18F-FDG micro-PET/CT
10:53

Functional Imaging of Brown Fat in Mice with 18F-FDG micro-PET/CT

Published on: November 23, 2012

19.8K

Scanner-integrated reconstruction versus post-processing deep learning for low-count 18F-FDG PET/CT: a comparative

Qigang Long1, Yan Tian2, Yun Hu1

  • 1School of Medical Information Engineering, Zunyi Medical University, Zunyi, 563000, China.

EJNMMI Physics
|January 31, 2026
PubMed
Summary

Deep learning (DL) methods, deep progressive reconstruction (DPR) and post-processing enhancement (POST), improve low-count PET/CT image quality. POST is effective at 1/4 scan time, while DPR is better from 1/2 time onward, showing excellent agreement with clinical standards.

Keywords:
18F-FDG PET/CTDeep learningImage qualityImage reconstructionLow-count

More Related Videos

Determining Glucose Metabolism Kinetics Using 18F-FDG Micro-PET/CT
07:07

Determining Glucose Metabolism Kinetics Using 18F-FDG Micro-PET/CT

Published on: May 2, 2017

14.4K
Visualization and Quantification of Brown and Beige Adipose Tissues in Mice using [18F]FDG Micro-PET/MR Imaging
08:31

Visualization and Quantification of Brown and Beige Adipose Tissues in Mice using [18F]FDG Micro-PET/MR Imaging

Published on: July 1, 2021

3.5K

Related Experiment Videos

Last Updated: Feb 1, 2026

Functional Imaging of Brown Fat in Mice with 18F-FDG micro-PET/CT
10:53

Functional Imaging of Brown Fat in Mice with 18F-FDG micro-PET/CT

Published on: November 23, 2012

19.8K
Determining Glucose Metabolism Kinetics Using 18F-FDG Micro-PET/CT
07:07

Determining Glucose Metabolism Kinetics Using 18F-FDG Micro-PET/CT

Published on: May 2, 2017

14.4K
Visualization and Quantification of Brown and Beige Adipose Tissues in Mice using [18F]FDG Micro-PET/MR Imaging
08:31

Visualization and Quantification of Brown and Beige Adipose Tissues in Mice using [18F]FDG Micro-PET/MR Imaging

Published on: July 1, 2021

3.5K

Area of Science:

  • Nuclear Medicine
  • Medical Imaging
  • Artificial Intelligence

Background:

  • Low-count positron emission tomography/computed tomography (PET/CT) imaging is crucial for many clinical applications.
  • Acquisition time reduction in PET/CT is desirable to minimize patient discomfort and motion artifacts.
  • Deep learning (DL) offers potential solutions for enhancing low-count PET/CT images.

Purpose of the Study:

  • To compare two DL approaches for low-count PET/CT: deep progressive reconstruction (DPR) and deep-learning image-domain post-processing enhancement (POST).
  • To evaluate the performance of DPR and POST in terms of image quality, quantitative metrics, and agreement with clinical reference standards.

Main Methods:

  • Sixty-seven patients undergoing 18F-FDG PET/CT were included.
  • Images were reconstructed using OSEM (clinical reference), DPR, and POST (RaDynPET).
  • Image quality was assessed by nuclear medicine physicians, and quantitative metrics (SNR, TBR, CNR) were calculated. Non-inferiority versus OSEM was prespecified.

Main Results:

  • Both DPR and POST achieved higher reader scores than time-matched OSEM.
  • POST was superior at 30s, while DPR was superior at 60s acquisition times.
  • DPR demonstrated monotonic increases in CNR and SNR, with TBR improvements, while POST gains attenuated at 60s.

Conclusions:

  • Both DPR and POST significantly improved or preserved image quality, enabling scan-time reduction.
  • POST is supported for 1/4 acquisition time, and DPR is favored from 1/2 time onward.
  • Both methods demonstrated excellent agreement with the clinical reference OSEM standard.