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Transfer Function to State Space01:23

Transfer Function to State Space

774
State-space representation is a powerful tool for simulating physical systems on digital computers, necessitating the conversion of the transfer function into state-space form. Consider an nth-order linear differential equation with constant coefficients, like those encountered in an RLC circuit. The state variables are selected as the output and its n−1 derivatives. Differentiating these variables and substituting them back into the original equation produces the state equations.
In an RLC...
774
State Space to Transfer Function01:21

State Space to Transfer Function

567
The conversion of state-space representation to a transfer function is a fundamental process in system analysis. It provides a method for transitioning from a time-domain description to a frequency-domain representation, which is crucial for simplifying the analysis and design of control systems.
The transformation process begins with the state-space representation, characterized by the state equation and the output equation. These equations are typically represented as:
567
Factors Affecting Drug Response: Overview01:21

Factors Affecting Drug Response: Overview

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When it comes to infants and young children, they are typically administered smaller doses of medication in comparison to adults. This is primarily because their organ functions still need to fully develop, meaning their bodies are not as efficient at metabolizing or eliminating drugs. Additionally, their blood-brain barrier is more permeable than in adults. As a result, high concentrations of drugs can easily penetrate the central nervous system (CNS), potentially leading to neurological...
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Transcription Factors02:16

Transcription Factors

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Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...
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Fischer Projections02:18

Fischer Projections

16.4K
Learning to draw Fischer projections of molecules and understanding their relevance plays a crucial role in the visual depiction of organic molecules. A Fischer projection is a two-dimensional projection on a planar surface to simplify the three-dimensional wedge–dash representation of molecules. This is especially helpful in the case of molecules with multiple chiral centers that can be difficult to draw. Here, all the bonds of interest are represented as horizontal or vertical lines. While...
16.4K
Newman Projections02:06

Newman Projections

20.6K
Different notations are used to represent the three-dimensional structure of molecules on two-dimensional surfaces. One of the most commonly used representations is the dash-wedge formula. The dashed wedges, solid wedges, and the plane lines indicate the groups situated behind the plane, coming out of the plane, and in the plane, respectively.
The organic molecules rotate across the single bonds leading to numerous temporary three-dimensional structures of varying energy known as...
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Related Experiment Video

Updated: Jan 24, 2026

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
11:34

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

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Resolution modeling in projection space using a factorized multi-block detector response function for PET image

Hancong Xu1, Mirjam Lenz, Liliana Caldeira

  • 1Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Jülich, Germany. Department of Physics, RWTH Aachen University, Aachen, Germany. Author to whom any correspondence should be addressed.

Physics in Medicine and Biology
|June 4, 2019
PubMed
Summary
This summary is machine-generated.

Resolution modeling (RM) improves positron emission tomography (PET) image quality. This study introduces an accurate multi-block RM method, enhancing image resolution and reducing errors compared to conventional methods.

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Area of Science:

  • Medical Imaging
  • Nuclear Medicine
  • Image Reconstruction

Background:

  • Positron emission tomography (PET) images are limited by resolution and statistical noise.
  • Resolution modeling (RM) is a technique to enhance PET image quality during iterative reconstruction.
  • Accurate modeling of the detector response function (DRF) is crucial for effective RM.

Purpose of the Study:

  • To develop and evaluate an accurate RM method in projection space using a simulated multi-block DRF.
  • To assess the impact of this RM method on image quality for the Siemens hybrid MR-BrainPET system.
  • To compare the performance of multi-block RM against single-block RM and reconstruction without RM.

Main Methods:

  • A multi-block DRF was simulated using GATE, accounting for annihilation photons and block crosstalk.
  • A shift-variant RM blurring kernel was generated by factorizing the line-of-response (LOR) blurring matrix.
  • The RM kernel was integrated into iterative image reconstruction with SIMD and multi-thread support for the BrainPET insert.

Main Results:

  • Reconstruction with RM significantly improved resolution and reduced mean squared error (MSE) across the field-of-view (FOV).
  • The shift-variant RM kernel effectively modeled depth-of-interaction (DOI) dependencies, mitigating edge artifacts.
  • Multi-block RM demonstrated superior resolution and edge recovery beyond 10 cm compared to single-block RM, though differences were less pronounced in patient data.

Conclusions:

  • The proposed multi-block RM method enhances PET image resolution and reduces MSE.
  • This technique offers improved image quality over conventional reconstruction without RM.
  • The shift-variant, multi-block approach effectively addresses DOI variations and improves spatial accuracy.