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 Experiment Videos

A non-negative fast multiplicative algorithm in 3D scatter-compensated SPET reconstruction

S H Walrand1, L R van Elmbt, S Pauwels

  • 1Centre de Médecine Nucléaire, Université Catholique de Louvain, Bruxelles, Belgium.

European Journal of Nuclear Medicine
|November 1, 1996
PubMed
Summary

A new accelerated algorithm enhances single-photon emission tomographic (SPET) reconstruction, improving image quality in low-count situations without smoothing. This method accelerates the expectation-maximization of the maximum-likelihood (EM-ML) algorithm significantly for clinical use.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Prevalence and risk factors of antibiotic resistance for urinary tract infections in patients presenting to a Belgian tertiary care emergency department: testing the national guidelines against the local setting.

Acta clinica Belgica·2025
Same author

Measurable Serum Estradiol and Estrone in Women 36-56 Years During Adjuvant Treatment With Aromatase Inhibitors for a Hormone Receptor-Positive Breast Cancer. Case Studies and Cross-sectional Study Using an Ultra-sensitive LC-MS/MS-Method.

Clinical breast cancer·2022
Same author

Free Testosterone Reflects Metabolic as well as Ovarian Disturbances in Subfertile Oligomenorrheic Women.

International journal of endocrinology·2018
Same author

The effect of paternal methyl-group donor intake on offspring DNA methylation and birth weight.

Journal of developmental origins of health and disease·2017
Same author

Comparison of molecular responses based on BCR-ABL1% (IS) results from an in-house TaqMan-based qPCR versus Xpert(®) assay in CML patients on tyrosine kinase inhibitor therapy.

Acta clinica Belgica·2015
Same author

Evaluation of the Sebia Minicap Flex Piercing capillary electrophoresis for hemoglobinopathy testing.

International journal of laboratory hematology·2014

Area of Science:

  • Medical Imaging
  • Nuclear Medicine
  • Computational Imaging

Background:

  • Iterative expectation-maximization of the maximum-likelihood (EM-ML) algorithm improves single-photon emission tomographic (SPET) reconstruction, particularly for noisy images.
  • Clinical application of EM-ML is limited by the extensive iterations required for acceptable results, necessitating acceleration methods.

Purpose of the Study:

  • To introduce a novel accelerated EM-ML-like multiplicative algorithm for SPET reconstruction.
  • To evaluate its performance in terms of convergence speed and image quality, especially in challenging low-count scenarios.

Main Methods:

  • Development of a new accelerated EM-ML-like multiplicative algorithm for SPET reconstruction.
  • Integration with the 3D effective one scatter path model.

Related Experiment Videos

  • Evaluation of convergence speed and image quality without smoothing in low-count regions.

    • Main Results:

    • The proposed algorithm achieves convergence speed improvements of up to 100 times compared to standard EM-ML.
    • It preserves essential EM-ML properties: pixel positivity and null activity outside the patient.
    • Accurate quantitative estimates and high-quality SPET images are obtained in low-count regions without smoothing, even at routine clinical rates.

    Conclusions:

    • The novel accelerated algorithm significantly enhances SPET reconstruction efficiency and image quality.
    • It offers a viable solution for clinical routine, particularly for noisy or low-count datasets.
    • The method provides accurate quantitation and high-fidelity SPET images when combined with advanced modeling techniques.