//******************************************************************************
//
// File: Test03.java
// Package: edu.rit.mri.test
// Unit: Class edu.rit.mri.test.Test03
//
// This Java source file is copyright (C) 2008 by Alan Kaminsky. All rights
// reserved. For further information, contact the author, Alan Kaminsky, at
// ark@cs.rit.edu.
//
// This Java source file is part of the Parallel Java Library ("PJ"). PJ is free
// software; you can redistribute it and/or modify it under the terms of the GNU
// General Public License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// PJ is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR
// A PARTICULAR PURPOSE. See the GNU General Public License for more details.
//
// A copy of the GNU General Public License is provided in the file gpl.txt. You
// may also obtain a copy of the GNU General Public License on the World Wide
// Web at http://www.gnu.org/licenses/gpl.html.
//
//******************************************************************************
package edu.rit.mri.test;
import edu.rit.mri.SpinSignal;
import edu.rit.numeric.ListXYSeries;
import edu.rit.numeric.NonNegativeLeastSquares;
import edu.rit.numeric.plot.Dots;
import edu.rit.numeric.plot.Plot;
import edu.rit.numeric.plot.Strokes;
import java.awt.Color;
import java.io.File;
import java.util.Scanner;
/**
* Class Test03 is a main program that does a spin relaxometry analysis on a
* spin signal data set. The data set is generated by the {@linkplain GenData}
* program. The model spin signal is the sum of a series of spin signals with
* fixed spin relaxation rates. The length of the series is specified on the
* command line. The largest spin relaxation rate is specified on the command
* line. The individual spin relaxation rates are spaced linearly up to the
* largest. The program does a nonnegative linear least squares curve fit of the
* model to the data to find the spin density for each spin signal in the
* series. The program prints out the final fitted parameters (spin densities)
* for the model spin signal. The program displays a plot of the data set and
* the final model spin signal.
*
* Usage: java edu.rit.mri.test.Test03 datafile N Rmax
*
datafile = File containing t and S(t) values
*
N = Number of model spin signals
*
Rmax = Maximum spin relaxation rate
*
* @author Alan Kaminsky
* @version 11-Jun-2008
*/
public class Test03
{
// Prevent construction.
private Test03()
{
}
// Main program.
/**
* Main program.
*/
public static void main
(String[] args)
throws Exception
{
// Parse command line arguments.
if (args.length != 3) usage();
File datafile = new File (args[0]);
int N = Integer.parseInt (args[1]);
double Rmax = Double.parseDouble (args[2]);
// Get data X-Y series.
ListXYSeries dataseries = new ListXYSeries();
dataseries.add (new Scanner (datafile));
int M = dataseries.length();
// Compute spin relaxation rates.
double[] R = new double [N];
for (int j = 0; j < N; ++ j)
{
R[j] = ((double)(j+1))/((double) N)*Rmax;
}
// Create nonnegative linear least squares solver.
NonNegativeLeastSquares solver = new NonNegativeLeastSquares (M, N);
// Find the solution.
for (int i = 0; i < M; ++ i)
{
double[] a_i = solver.a[i];
double t_i = dataseries.x(i);
for (int j = 0; j < N; ++ j)
{
a_i[j] = SpinSignal.S (R[j], t_i);
}
solver.b[i] = dataseries.y(i);
}
solver.solve();
// Print the solution.
for (int j = 0; j < N; ++ j)
{
System.out.print (R[j]);
System.out.print ('\t');
System.out.print (solver.x[j]);
System.out.println();
}
// Create plot with data X-Y series.
Plot plot = new Plot();
plot.xAxisLength (1200)
.xAxisMajorDivisions (20)
.yAxisLength (600)
.yAxisMajorDivisions (10)
.seriesDots (Dots.circle (Color.BLACK, null, null, 5))
.seriesColor (Color.BLACK)
.seriesStroke (Strokes.solid (2))
.xySeries (dataseries);
// Generate model spin signal X-Y series and add to plot.
double chisqr = 0.0;
ListXYSeries signalseries = new ListXYSeries();
for (int i = 0; i < dataseries.length(); ++ i)
{
double t = dataseries.x(i);
double s = 0.0;
for (int j = 0; j < N; ++ j)
{
s += SpinSignal.S (solver.x[j], R[j], t);
}
double d = s - dataseries.y(i);
chisqr += d*d;
signalseries.add (t, s);
}
System.out.println ("chi^2 = "+chisqr);
plot.seriesDots (null)
.seriesColor (Color.RED)
.seriesStroke (Strokes.solid (1))
.xySeries (signalseries);
// Display plot.
plot.getFrame().setVisible (true);
}
// Hidden operations.
/**
* Print a usage message and exit.
*/
private static void usage()
{
System.err.println ("Usage: java edu.rit.mri.test.Test03 ");
System.err.println (" = File containing t and S(t) values");
System.err.println (" = Number of model spin signals");
System.err.println (" = Maximum spin relaxation rate");
System.exit (1);
}
}
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