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

Related Concept Videos

Assessment of Diffusion and Perfusion

Assessment of Diffusion and Perfusion

Understanding and evaluating diffusion and perfusion is critical in assessing a patient's respiratory and circulatory health. These processes play key roles in maintaining the body's internal environment, ensuring that tissues receive adequate oxygen while waste products are efficiently removed.
The Role of Diffusion in Respiration
Diffusion is the process by which molecules move from an area of higher concentration to an area of lower concentration. In the respiratory system, this principle...

Computed Tomography

Computed Tomography

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...

Imaging Studies II: Positron Emission Tomography and Scintigraphy

Imaging Studies II: Positron Emission Tomography and Scintigraphy

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

Imaging Studies for Cardiovascular System V: CT

Imaging Studies for Cardiovascular System V: CT

Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...

Imaging Studies III: Computed Tomography

Imaging Studies III: Computed Tomography

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...

You might also read

Related Articles

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

Sort by

Same author

MaKAN-Mixer: Channel Interaction-Based Mamba Method for rPPG Extraction.

IEEE journal of biomedical and health informatics·2025

Same author

Topology-preserving segmentation of abdominal muscle layers from ultrasound images.

Medical physics·2024

Same author

From

Journal of pharmaceutical and biomedical analysis·2018

Same author

Ultrafine Mo-doped SnO

Nanoscale·2018

Same author

[Study on the Migration Resistance of Additives in Disposable Photophobic Infusion Set].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation·2018

Same author

Urinary proteomics analysis based on mass spectrometry and identification of therapeutic targets of Shenkangling interventions in rats with adriamycin nephropathy using iTRAQ.

American journal of translational research·2018

Search research articles

Related Experiment Video

Updated: May 11, 2026

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

Domain Progressive Low-Dose CT Imaging Using Iterative Partial Diffusion Model.

Feiyang Liao, Yufei Tang, Qiang Du

IEEE Transactions on Medical Imaging

|November 7, 2024

Summary

This summary is machine-generated.

This study introduces an iterative partial diffusion model (IPDM) for low-dose computed tomography (LDCT) imaging, improving generalization and reducing computational time for better image reconstruction.

More Related Videos

Novel In Vivo Micro-Computed Tomography Imaging Techniques for Assessing the Progression of Non-Alcoholic Fatty Liver Disease

Novel In Vivo Micro-Computed Tomography Imaging Techniques for Assessing the Progression of Non-Alcoholic Fatty Liver Disease

Published on: March 24, 2023

Author Spotlight: Enhanced Quantification of Cardiovascular Calcification Progression for Longitudinal Micro PET/CT Studies in Small Research Animals

Author Spotlight: Enhanced Quantification of Cardiovascular Calcification Progression for Longitudinal Micro PET/CT Studies in Small Research Animals

Published on: November 15, 2024

Related Experiment Videos

Last Updated: May 11, 2026

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

Novel In Vivo Micro-Computed Tomography Imaging Techniques for Assessing the Progression of Non-Alcoholic Fatty Liver Disease

Novel In Vivo Micro-Computed Tomography Imaging Techniques for Assessing the Progression of Non-Alcoholic Fatty Liver Disease

Published on: March 24, 2023

Author Spotlight: Enhanced Quantification of Cardiovascular Calcification Progression for Longitudinal Micro PET/CT Studies in Small Research Animals

Author Spotlight: Enhanced Quantification of Cardiovascular Calcification Progression for Longitudinal Micro PET/CT Studies in Small Research Animals

Published on: November 15, 2024

Area of Science:

Medical Imaging
Artificial Intelligence
Computational Science

Background:

Traditional deep learning reconstruction (DLR) methods struggle with diverse data distributions in low-dose computed tomography (LDCT), limiting their practical application.
Existing diffusion models for LDCT face challenges including high computational cost, training difficulties with high-resolution images, and performance degradation in denoising tasks.

Purpose of the Study:

To develop a novel domain progressive LDCT imaging framework that overcomes the limitations of current DLR and diffusion model approaches.
To enhance the generalizability and efficiency of LDCT image reconstruction.

Main Methods:

Proposes an iterative partial diffusion model (IPDM) framework that utilizes a fraction of the diffusion model for denoising, reducing time consumption and convergence issues.
Introduces a condition-guided sampling method to mitigate sampling bias from predictive data gradients and Langevin dynamics.
Implements an adaptive weight strategy based on pixel-wise noise estimation to dynamically adjust guided intensity during reconstruction.

Main Results:

The proposed IPDM framework demonstrates superior performance over traditional iterative reconstruction, unsupervised, and supervised DLR methods in both visual and quantitative evaluations.
Achieves performance comparable to state-of-the-art supervised DLR techniques.
Exhibits enhanced generalization ability in practical imaging scenarios due to training on normal-dose CT data.

Conclusions:

The novel IPDM framework offers a more efficient and generalizable solution for LDCT image reconstruction compared to existing methods.
The method effectively addresses the domain generalization problem in LDCT imaging, paving the way for improved clinical applications.
The developed framework balances strong generative capabilities with reduced computational demands, making it suitable for practical use.