ANALYSIS OF RADIATION
TRANSPORT IN BIOLOGICAL TISSUES USING A DETERMINISTIC CODE,
PARTISIN 4.0
ANALYSIS OF RADIATION
TRANSPORT IN BIOLOGICAL TISSUES USING A DETERMINISTIC CODE,
PARTISIN 4.0
Murat AYDIN
Murat AYDIN
Nuclear Research Section
General Objective of Tomography
General Objective of Tomography
Constructing the image
to diagnose
inhomogeneties or morphological changes
What is optical tomograhy?
Optical tomograhy is a form of computed tomograhy that creates a digital volumetric model of an object by
reconstructing images made from light transmitted and scattered through an object
Optical Tomography
Optical Tomography
• AdvantagesAdvantages
• Reduction of invasiveness Reduction of invasiveness
• Better treatments at reduced costBetter treatments at reduced cost • Inexpensive and portable systemInexpensive and portable system
Why NIR Photons?
Why NIR Photons?
NIR Wavelength 600-1300 nm NIR Wavelength 600-1300 nm
Absorption coefficient 0.001 – 0.01 mm-1Absorption coefficient 0.001 – 0.01 mm-1 Scattering coefficient 10 – 100 mm-1 Scattering coefficient 10 – 100 mm-1
UV
UV NLNL
NIR
The Forward and Inverse
Photon Propagation Problem
The Forward and Inverse
Photon Propagation Problem
Forward problem:
Forward problem:
properties + source responses
properties + source responses
Inverse problem
Inverse problem
:
:
Forward vs. inverse problem
Forward vs. inverse problem
Incident light and object optical properties Output light intensity
Knowing the cause Predict the effect Forward problem (usually well-posed problem)
Forward vs. inverse problem
Forward vs. inverse problem
Inverse problem Inverse problem (usually ill-posed problem)(usually ill-posed problem)
Knowing the effect
Knowing the effect Predict the causePredict the cause
PARTISN 4.0
PARTISN 4.0
AA modular computer program package designed to solve modular computer program package designed to solve
the time-independent or dependent multigroup discrete
the time-independent or dependent multigroup discrete
ordinates form of the Boltzmann transport equation in
ordinates form of the Boltzmann transport equation in
several different geometries.
several different geometries.
33 distinct modules: the Input Module distinct modules: the Input Module((inputinput processingprocessing)), ,
the Solver Module
the Solver Module((the transport equation solvingthe transport equation solving)), and , and the Edit Module
Solution Methods
Solution Methods
The Solver Module contains one, two, and three-The Solver Module contains one, two, and
three-dimensional solvers in a single module.
dimensional solvers in a single module.
In addition to the diamond-differencing method, the Solver In addition to the diamond-differencing method, the Solver
Module also has Adaptive Weighted Diamond-Differencing
Module also has Adaptive Weighted Diamond-Differencing
(AWDD), Linear Discontinuous (LD), and Exponential
(AWDD), Linear Discontinuous (LD), and Exponential
Discontinuous (ED) spatial differencing methods
Sample Forward Problems
(Problem 1)
Sample Forward Problems
(Problem 1)
Optical Properties of Tissue
Like Media
Optical Properties of Tissue
Like Media
Material µs (cm–1 ) µ a (cm–1 ) 1 7 0.02 2 7.22 2.63 3 3.67 0.07Planes Passing Tthrough The
Medium
Scalar Fluency Rate Distribution Along the Planes (Problem 1)
Angular Fluency Rate Distribution Along the Right Side of the Medium Angular Fluency Rate Distribution Along the Right Side of the Medium
Problem 2
Problem 2
Scalar Fluence Rate Distribution
Along the Planes for Problem 2
Scalar Fluence Rate Distribution
Along the Planes for Problem 2
Angular Fluence Rate Distribution Along
the Right Side of the Medium for Problem 2 Angular Fluence Rate Distribution Along
Comparison of Scalar Fluence Rates
at Detector Surface
Comparison of Scalar Fluence Rates
at Detector Surface
TThis his studystudy has aimed to review a deterministic has aimed to review a deterministic
code PARTISN for forward problems in
code PARTISN for forward problems in
scattering media such as biological tissue.
scattering media such as biological tissue.
This is the first step to construct the images of This is the first step to construct the images of
biological tissues using near infrared light (NIR).
biological tissues using near infrared light (NIR).
Next, Henyey–Greenstein scattering phase Next, Henyey–Greenstein scattering phase
function will be implemented into the code and,
function will be implemented into the code and,
inverse problem will be solved.inverse problem will be solved.