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

Positron Emission Tomography01:29

Positron Emission Tomography

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 being...
Computed Tomography01:10

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 Scintigraphy01:25

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 III: Computed Tomography01:27

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

Multi-granularity Adversarial Generation Integrated Consistency Representation for Chest Low-Contrast-Enhanced CT Synthesis.

IEEE transactions on medical imaging·2026
Same author

SkeDiff: Skeleton 3D CT Diffusion Reconstruction using 2D X-ray.

IEEE journal of biomedical and health informatics·2026
Same author

USRMamba: Adaptive Routing-Guided State Space Model for Ultrasound Super-Resolution.

IEEE journal of biomedical and health informatics·2026
Same author

EDG-Net: Encryption and Decryption based Gan-attention Network for CT images in the Internet of Medical Things and Telemedicine.

IEEE journal of biomedical and health informatics·2025
Same author

Self-Supervised Denoising With Noise Propagation Model: Improving Material Decomposition in Photon-Counting CT.

IEEE transactions on bio-medical engineering·2025
Same author

Conditional Virtual Imaging for Few-Shot Vascular Image Segmentation.

IEEE transactions on medical imaging·2025
Same journal

Multimodal clinical data integration for prognosis of pulmonary embolism: A comparative study.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
Same journal

Continual test-time adaptation via weight averaging of feature augmentations in cross-domain medical image segmentation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
Same journal

A lightweight network for segmenting tree-like structures in medical images.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
Same journal

RGCNN-nnUNet: Recurrent group equivariant nnU-Net for robust brain tissue segmentation on stroke NCCT.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
Same journal

Self-supervised isotropic reconstruction for abnormality detection in anisotropic MRI.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
Same journal

WDBDM: Wavelet-based dual-branch diffusion model for low-dose CT and PET denoising.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
See all related articles

Related Experiment Video

Updated: Jun 29, 2026

High-Resolution Cardiac Positron Emission Tomography/Computed Tomography for Small Animals
11:09

High-Resolution Cardiac Positron Emission Tomography/Computed Tomography for Small Animals

Published on: December 16, 2022

Noniterative sequential weighted least squares algorithm for positron emission tomography reconstruction.

Jian Zhou1, Jean-Louis Coatrieux, Limin Luo

  • 1Laboratory of Image Science and Technology, Southeast University, 210096 China. jian.zhou@univ-rennes1.fr

Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
|October 10, 2008
PubMed
Summary
This summary is machine-generated.

A new simplified sequential weighted least squares (SWLS) method improves positron emission tomography (PET) reconstruction. This approach offers better computation time and image quality compared to the original SWLS algorithm.

More Related Videos

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
10:44

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Published on: June 21, 2024

A Basic Positron Emission Tomography System Constructed to Locate a Radioactive Source in a Bi-dimensional Space
14:19

A Basic Positron Emission Tomography System Constructed to Locate a Radioactive Source in a Bi-dimensional Space

Published on: February 1, 2016

Related Experiment Videos

Last Updated: Jun 29, 2026

High-Resolution Cardiac Positron Emission Tomography/Computed Tomography for Small Animals
11:09

High-Resolution Cardiac Positron Emission Tomography/Computed Tomography for Small Animals

Published on: December 16, 2022

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
10:44

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Published on: June 21, 2024

A Basic Positron Emission Tomography System Constructed to Locate a Radioactive Source in a Bi-dimensional Space
14:19

A Basic Positron Emission Tomography System Constructed to Locate a Radioactive Source in a Bi-dimensional Space

Published on: February 1, 2016

Area of Science:

  • Medical Imaging
  • Computational Science
  • Image Reconstruction

Background:

  • Positron Emission Tomography (PET) is a crucial medical imaging technique.
  • Current reconstruction methods like penalized Weighted Least Squares (PWLS) can be computationally intensive.
  • Sequential Weighted Least Squares (SWLS) offers non-iterative reconstruction but faces computational challenges.

Purpose of the Study:

  • To introduce a computationally efficient alternative to the standard SWLS algorithm for PET reconstruction.
  • To evaluate the performance of the simplified SWLS method in terms of speed and accuracy.
  • To compare the simplified SWLS with the original SWLS using simulated and clinical PET data.

Main Methods:

  • Development of a simplified Sequential Weighted Least Squares (SWLS) algorithm.
  • Implementation of the simplified SWLS for Positron Emission Tomography (PET) image reconstruction.
  • Experimental evaluation using both simulated and real clinical PET datasets.

Main Results:

  • The simplified SWLS method significantly reduces computation time compared to the original SWLS.
  • Reconstruction quality is maintained or improved with the simplified SWLS approach.
  • The proposed method demonstrates a favorable balance between computational efficiency and image fidelity.

Conclusions:

  • The simplified SWLS presents a viable and advantageous alternative for PET image reconstruction.
  • This method addresses the computational intensity of the original SWLS without compromising reconstruction quality.
  • The findings support the adoption of simplified SWLS for faster and more accurate PET imaging.