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 comparison among different inversion methods for multi-exponential NMR relaxation data

G C Borgia1, V Bortolotti, R J Brown

  • 1University of Bologna, Engineering Faculty, Italy.

Magnetic Resonance Imaging
|January 1, 1994
PubMed
Summary
This summary is machine-generated.

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

Magma flow localisation during dyke propagation produces complex magma transport pathways.

Nature communications·2025
Same author

Correction to: Shared Individual Formulation Therapy (SIFT): an open-label trial of a new therapy accommodating patient heterogeneity in functional neurological disorder.

Journal of neurology·2021
Same author

Shared Individual Formulation Therapy (SIFT): an open-label trial of a new therapy accommodating patient heterogeneity in functional neurological disorder.

Journal of neurology·2021
Same author

Allocation of funding into blast injury-related research and blast traumatic brain injury between 2000 and 2019: analysis of global investments from public and philanthropic funders.

BMJ military health·2020
Same author

Visceral fat does not contribute to metabolic disease in lipodystrophy.

Obesity science & practice·2019
Same author

Contemporary factors influencing genetic diversity in the Alaska humpback whitefish Coregonus clupeaformis complex.

Journal of fish biology·2018
Same journal

Incremental diagnostic value of microstructural time-dependent diffusion MRI in differentiating PCNSL from glioblastoma over conventional MRI.

Magnetic resonance imaging·2026
Same journal

Enhanced motion compensation for free-breathing dynamic contrast-enhanced MRI with GROG-facilitated bunch phase encoding and Golden angle radial sampling.

Magnetic resonance imaging·2026
Same journal

The allegory of the cave: 10 years of AI shadows in radiology.

Magnetic resonance imaging·2026
Same journal

Conversion of 3 T liver, spleen, pancreas, and kidney R2* measurements to 1.5 T R2* equivalents: Validation of a theoretical framework.

Magnetic resonance imaging·2026
Same journal

Cine-derived mitral annular relaxation velocity for detection of preclinical left ventricular diastolic dysfunction.

Magnetic resonance imaging·2026
Same journal

Bone marrow fat fraction and R2* in sickle cell disease: Associations with hemolysis, iron metabolism, and disease severity.

Magnetic resonance imaging·2026
See all related articles

This study compares algorithms for inverting data into exponential distributions. It highlights the flexibility of custom programs like EXDISTR and IDENT for analyzing complex datasets.

Area of Science:

  • Computational Science
  • Data Analysis
  • Applied Mathematics

Background:

  • Exponential distribution fitting is crucial for analyzing various scientific data.
  • Existing methods like the CONTIN program offer specific solutions.
  • There is a need for flexible algorithms to explore data fitting constraints.

Purpose of the Study:

  • To compare different algorithms for data inversion into exponential sums or distributions.
  • To evaluate the performance and flexibility of custom-built programs (EXDISTR, IDENT) against established methods.
  • To demonstrate the impact of constraint choices on data fitting quality.

Main Methods:

  • Comparative analysis of data inversion algorithms.
  • Implementation and testing of an in-house program, EXDISTR, allowing user-defined constraints.

Related Experiment Videos

  • Application of a system theory-based program, IDENT, treating data as dynamic system outputs.

    • Main Results:

    • The CONTIN program provides a detailed, albeit specific, solution.
    • EXDISTR enables the investigation of how various constraints (e.g., extra maxima/minima) affect fitting accuracy.
    • IDENT offers a distinct approach by modeling data as outputs of a linear, time-invariant dynamic system.

    Conclusions:

    • Different algorithms offer varying degrees of flexibility and insight into data inversion problems.
    • Customizable programs like EXDISTR provide valuable tools for understanding the influence of constraints on model fitting.
    • The choice of algorithm and constraints significantly impacts the quality and interpretation of exponential distribution fits.