3. 3
IntroductionIntroduction
In statistics, nonlinear regression is a form of
regression analysis in which observational data are modeled
by a function which is a nonlinear combination of the model
parameters and depends on one or more independent
variables. The data are fitted by a method of successive
approximations.
Some nonlinear regression problems can be moved to a linear
domain by a suitable transformation of the model
formulation.
4. 4
For example, consider the nonlinear regression
problem:
With parameters C, and error e. If we take the
logarithm of both sides, this becomes.
Y: vector(normal image) ; F:vector(pathologic image); c:parameter ;e:
error
Y= F*c+e
Where: Y=lny
5. 5
The problem of this work is:
Defined the least square ?What is the estimate ?
What are the statistical techniques applied ?
What is the difference between Fisher(f) and Student(t)
for linear & non linear model to extract the lesion?
10. 10
ALGORITHM
It must convert the image using MRI software (Dicom, Mrirco, SPM ...) to a further form
(jpg.png, nii, img, hdr ... ... ..) to allow working with matlab.
•Recognition of a sample image by the demand for doctor
•Analysis of the sample: This step is composed by the following:
-Data analysis: the composition protocol.
-Application of the method of least square
-Application of the method F-test and T-linear test
-Application of the method F-test and T-test non-linear
•Comparison between F-test and T-linear test
•Comparison between F-test and T-test non-linear .
•The results obtained and information technology the most accurate.
11. .Data analysis (Protocol)
This protocol is for a patient aged 46 years , sulfur
headache with vomiting and syncope in a jet-resistant or
treatment.
The patient is made by an MRI scan with injection of
contrast.
The machine uses radiation is of type "SIEMENS" with
a field B = 1.5 tesla.
The sequences performed in T1 and T2.
The result shows:
Presence –tumor 74*53*60 sat frontal-parietal trio's
structure: scattered calcifications, cystic and fleshy
necrosis.
Irregular-device.
-Presence of a cyst-like extra-brain producing a mass
effect on the cortex. Fig
11