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

Elements of Block Diagrams01:25

Elements of Block Diagrams

Block diagrams serve as a visual representation of the input-output relationships within a system. An illustrative example is a heating system, where the set temperature activates the furnace to warm the room to the desired level. Block diagrams are versatile, modeling linear systems through Laplace transform variables and nonlinear systems using time domain variables.
A block diagram typically includes essential elements such as comparators, blocks, and feedback loops. Each of these elements...
Modeling and Similitude01:12

Modeling and Similitude

Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
Block Diagram Reduction01:22

Block Diagram Reduction

The process of deriving the transfer function of a control system often involves reducing its block diagram to a single block. This simplification can be achieved through a series of strategic operations, including relocating branch points and comparators. These operations preserve the overall function of the system while allowing for easier manipulation and combination of blocks.
The first step in this process is the identification and relocation of a branch point. A branch point, where a...
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...
Modeling with Differential Equations01:25

Modeling with Differential Equations

Population dynamics can be described mathematically by considering the population size P(t) as a function of time. The rate of change of the population is then represented by the derivative of P(t). A simple assumption is that the rate of growth is proportional to the size of the population itself. This leads to an exponential growth model, where the population increases rapidly without bound. While this is a useful first approximation, it does not reflect realistic long-term...
Relation between Mathematical Equations and Block Diagrams01:20

Relation between Mathematical Equations and Block Diagrams

In a spring-mass-damper system, the second-order differential equation describes the dynamic behavior of the system. When transformed into the Laplace domain under zero initial conditions, this equation can be effectively analyzed and manipulated. The transformation into the Laplace domain converts differential equations into algebraic equations, simplifying the process of isolating the output.

You might also read

Related Articles

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

Sort by
Same author

Post-Acute COVID Among California Workers' Compensation Claims Filed in 2020-2022.

Journal of occupational and environmental medicine·2026
Same author

Home improvement programs and deadly countertops: the need to protect workers.

Annals of the American Thoracic Society·2026
Same author

Porphyrin-based nanotechnology: a minimally invasive approach for drug delivery and cholesteatoma treatment.

Frontiers in surgery·2025
Same author

Respiratory injuries among California career firefighters, 2000-2019.

Annals of the American Thoracic Society·2025
Same author

WOEMA Position Paper and Call-to-Action: California Needs More Physicians Specializing in Occupational and Environmental Medicine (OEM).

Journal of occupational and environmental medicine·2025
Same author

Thallium Exposure Secondary to Commercial Kale Chip Consumption: California Case Highlights Opportunities for Improved Surveillance and Toxicological Understanding.

International journal of environmental research and public health·2025

Related Experiment Video

Updated: Jun 6, 2026

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
06:04

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Published on: February 14, 2025

Modeling block detectors in SimSET.

Robert Harrison1, Steven Gillispie, Ruth Schmitz

  • 1Radiology, University of Washington, Seattle, Washington.

Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|December 15, 2010
PubMed
Summary
This summary is machine-generated.

The Simulation System for Emission Tomography (SimSET) software now includes a flexible block detector model. This enhancement improves simulation accuracy for various positron emission tomography (PET) scanner designs.

More Related Videos

Setting Limits on Supersymmetry Using Simplified Models
07:46

Setting Limits on Supersymmetry Using Simplified Models

Published on: November 15, 2013

Modeling Fast-scan Cyclic Voltammetry Data from Electrically Stimulated Dopamine Neurotransmission Data Using QNsim1.0
07:41

Modeling Fast-scan Cyclic Voltammetry Data from Electrically Stimulated Dopamine Neurotransmission Data Using QNsim1.0

Published on: June 5, 2017

Related Experiment Videos

Last Updated: Jun 6, 2026

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
06:04

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Published on: February 14, 2025

Setting Limits on Supersymmetry Using Simplified Models
07:46

Setting Limits on Supersymmetry Using Simplified Models

Published on: November 15, 2013

Modeling Fast-scan Cyclic Voltammetry Data from Electrically Stimulated Dopamine Neurotransmission Data Using QNsim1.0
07:41

Modeling Fast-scan Cyclic Voltammetry Data from Electrically Stimulated Dopamine Neurotransmission Data Using QNsim1.0

Published on: June 5, 2017

Area of Science:

  • Medical Imaging
  • Nuclear Medicine
  • Computational Science

Background:

  • The Simulation System for Emission Tomography (SimSET) is a widely used software for simulating positron emission tomography (PET) scanners.
  • Previous versions of SimSET had limitations in accurately modeling diverse detector geometries.

Purpose of the Study:

  • To introduce and validate a new block detector model in SimSET software version 2.9.
  • To enhance the simulation capabilities for various PET tomograph designs, including block-based and pixelated detectors.

Main Methods:

  • Implemented a new model simulating detector systems as flexible arrays of rectangular boxes.
  • Tested the block detector model against analytical results and existing SimSET simulations.
  • Compared simulated and experimental sensitivities using a General Electric DSTE PET scanner with different phantom sizes and acquisition modes.

Main Results:

  • The block detector model demonstrated statistical and visual validation against analytical data and simulations.
  • Simulations showed improved agreement with experimental data from a GE DSTE PET scanner compared to previous SimSET releases.
  • A substantially increased coincidence sensitivity was observed in simulations.

Conclusions:

  • The increased sensitivity is attributed to simplified default models for energy resolution and scintillation light collection, and the absence of livetime correction.
  • The new SimSET release offers user-modifiable functions for realistic modeling of tomograph-specific factors.
  • SimSET software, including source code, remains publicly available.