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

State Space Representation01:27

State Space Representation

The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
Methods of Medium Optimization01:28

Methods of Medium Optimization

Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...
Feedback control systems01:26

Feedback control systems

Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
Second Order systems II01:18

Second Order systems II

In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.
If  ζ...

You might also read

Related Articles

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

Sort by
Same author

[Clinical characteristics of severe human metapneumovirus infection in children and analysis of risk factors for critical illness].

Zhonghua er ke za zhi = Chinese journal of pediatrics·2025
Same author

Design and development of the DE-SPECT system: a clinical SPECT system for broadband multi-isotope imaging of peripheral vascular disease.

Physics in medicine and biology·2024
Same author

Dirac-cone-like electronic states on nematic antiferromagnetic FeSe and FeTe.

Journal of physics. Condensed matter : an Institute of Physics journal·2022
Same author

Magnetic field effect on topological properties of Dirac semimetals PdTe<sub>2</sub>/PtTe<sub>2</sub>/PtSe<sub>2</sub>.

Journal of physics. Condensed matter : an Institute of Physics journal·2021
Same author

[The application of quantitative analysis of EBV DNA loads in plasma and peripheral blood mononuclear cells in Epstein-Barr Virus infection-related diseases in children].

Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine]·2021
Same author

Energy-modulated x-ray fluorescence and luminescence emissions from therapeutic nanoparticles.

Physics in medicine and biology·2018
Same journal

PAC-Net: patch adaptive cut-off network with differentiable module-wise K-learning for robust and efficient medical image segmentation.

Physics in medicine and biology·2026
Same journal

Four-dimensional on-beam computed tomography reconstruction using projection-difference images.

Physics in medicine and biology·2026
Same journal

Higher-order synergy-based ranking in transcriptomic communities via latent factors and O-information.

Physics in medicine and biology·2026
Same journal

Calculating biological dose distributions in hadrontherapy using GATE: the BioDose actor.

Physics in medicine and biology·2026
Same journal

A 1.5 mm BGO PET detector with DOI measurement.

Physics in medicine and biology·2026
Same journal

Development and validation of XrayMC: a dedicated Monte Carlo tool for X-ray imaging and radiation protection.

Physics in medicine and biology·2026
See all related articles

Related Experiment Video

Updated: May 12, 2026

A Workflow for Lipid Nanoparticle (LNP) Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models (SVEM)
13:54

A Workflow for Lipid Nanoparticle (LNP) Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models (SVEM)

Published on: August 18, 2023

SPECT system optimization against a discrete parameter space.

L J Meng1, N Li

  • 1Department of Nuclear, Plasma, and Radiological Engineering, The University of Illinois at Urbana Champaign, Urbana-Champaign, IL 61801, USA. ljmeng@illinois.edu

Physics in Medicine and Biology
|April 17, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces a novel analytical method for optimizing Single Photon Emission Computed Tomography (SPECT) system design and sampling strategies. The approach utilizes virtual detectors to determine optimal imaging time distribution for enhanced performance.

Related Experiment Videos

Last Updated: May 12, 2026

A Workflow for Lipid Nanoparticle (LNP) Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models (SVEM)
13:54

A Workflow for Lipid Nanoparticle (LNP) Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models (SVEM)

Published on: August 18, 2023

Area of Science:

  • Medical Imaging
  • Systems Engineering
  • Computational Science

Background:

  • Optimizing SPECT system design and sampling strategies is crucial for improving imaging performance.
  • Existing methods may not fully account for complex system parameters or adaptive hardware.

Purpose of the Study:

  • To present an analytical approach for optimizing SPECT system design and sampling strategies.
  • To introduce a framework applicable to various imaging modalities.

Main Methods:

  • Discretized system parameter space operation.
  • Introduction of the 'virtual detector' concept as a fundamental building block.
  • Optimization of imaging time distribution (ITD) using block-iterative or nonlinear algorithms.

Main Results:

  • The approach enables conversion of system optimization into finding an optimal ITD.
  • The resulting ITD quantifies the relative importance of virtual detectors.
  • Identifies optimal system configurations and sampling strategies for peak imaging performance.

Conclusions:

  • The developed analytical approach provides a quantitative framework for SPECT system optimization.
  • The 'virtual detector' concept simplifies complex optimization tasks.
  • This methodology is adaptable for optimizing other imaging modalities like PET and CT.