Convolution Q: Ca(t) & R(t) for CT Attenuation Model

  • Thread starter Thread starter JoeBonasia
  • Start date Start date
  • Tags Tags
    Convolution
Click For Summary
SUMMARY

The discussion focuses on performing a convolution of two functions, Ca(t) and R(t), where Ca(t) represents the time activity curve of a CT contrast bolus injection, and R(t) is defined as a piecewise function for the Johnson Wilson model. The convolution is expressed as Ca(t)*R(t) = (from 0 to Tm){Ca(t) convolved with 1} + (from Tm to t)E*{Ca(t) convolved with exp^(-k(t-Tm))}. This convolution is crucial for modeling CT tissue attenuation in tracer kinetics, particularly within a distributive parameter framework.

PREREQUISITES
  • Understanding of convolution in signal processing
  • Familiarity with piecewise functions
  • Knowledge of tracer kinetics modeling
  • Basic principles of CT imaging and contrast agents
NEXT STEPS
  • Study the mathematical principles of convolution in detail
  • Research the Johnson Wilson model for capillary tracer exchange
  • Explore software tools for performing convolutions, such as MATLAB or Python's SciPy library
  • Investigate the application of CT tissue attenuation in medical imaging
USEFUL FOR

This discussion is beneficial for medical physicists, biomedical engineers, and researchers involved in imaging science and tracer kinetics modeling, particularly those working with CT imaging and contrast dynamics.

JoeBonasia
Messages
12
Reaction score
0
SORRY, I figured it was wrong of me to hijack someone elses thread with my query so I will start my own thread, my apologizes in advance for I will also post a thread within the Math forum...

I am new here and I bring a similar question for my first post...

I want to know how to do a convolution where the two functions are:

Ca(t) - arbitrary Input function
(it actually represents the time activity curve of a CT contrast bolus injection in the blood)

R(t) - a piecewise function defined as follows:

R(t) = 1, 0<t<Tm
and E*(exp)^(kt), t>Tm

(this R(t) is called the Impulse Residue Function for the Johnson WIlson model for capillary tracer exchange)

so therefore:

Ca(t)*R(t) = (from 0 to Tm){Ca(t) convolved with 1} + (from Tm to t)E*{Ca(t) convolved with (*exp)^(-kt)}

Can anyone shed some light on this please?!

If anyone is curious the context of this convolution is for determining the representation of CT tissue attenuation in tracer kinetics modelling, considering a distributive parameter model. A background link for those interested is below.

http://www.minervamedica.it/index2.t...9Y2003N03A0171
 
Last edited by a moderator:
Physics news on Phys.org
do u want to do it manually or do u want to use a tool??
 
manual, hand solution..

btw I realized I typed a small error...

the second part of R(t) should read E*(exp)^(-k(t-Tm)), t>Tm

where t is the variable of integration and Tm is a constant
 

Similar threads

  • · Replies 12 ·
Replies
12
Views
3K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 12 ·
Replies
12
Views
11K
  • · Replies 2 ·
Replies
2
Views
5K