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📄 eml_osem_test.m

📁 实现PET/SPECT 幻影图像regression的matlab源代码 algorithms for Poisson emission tomography PET/SPECT/ Poisson
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% eml_osem_test.m% compare aspire and matlab versions of E-ML-OSEM% Copyright 2001-07-23, Jeff Fessler, The University of Michigan%% generate data%if ~isvar('xfbp'), printm 'data'	if has_aspire		f.dir	= test_dir;		f.wtf	= [f.dir 't,g.wtf'];		f.wtr	= strrep(f.wtf, 'wtf', 'wtr');		f.yi	= [f.dir 'yi.fld'];		f.ci	= [f.dir 'ci.fld'];		f.ri	= [f.dir 'ri.fld'];		f.mask	= [f.dir 'mask.fld'];	end	em_test_setup; f.is3b = 0;%	em3_test_setup; f.is3b = 1;promptend%% block object for block iterative%if ~isvar('Gb'), printm 'Gb'	f.nblock = 5;	Gb = Gblock(G, f.nblock, 0);end%% matlab iterations%if ~isvar('xmat'), printm 'matlab E-ML-OSEM'	f.niter = 8;	f.pixmax = 6;	f.precon = 'fast';	f.precon = 'classic';	if f.is3b % fix: needs work!		shaper = sprintf('reshape(proj, [%d %d])', n.n1*n.n2, n.a);		shaper = inline(shaper, 'proj');	else		shaper = inline('x', 'x');	end	xinit = ig.ones;	[xmat precon] = eml_osem(xinit(ig.mask), Gb, ...			shaper(yi), shaper(ci), shaper(ri), ...			'niter', f.niter, 'pixmax', f.pixmax, ...			'precon', f.precon);	precon = ig.embed(precon);	xmat = ig.embed(xmat);	im clf, im(121, xmat, 'Matlab E-ML-OSEM iterations'), cbar horizpromptendif ~has_aspire, return, end%% aspire iterations%if ~isvar('xasp'), printm 'aspire E-ML-OSEM'	f.init	= [f.dir 'init.fld'];	f.out	= [f.dir 'out.fld'];	fld_write(f.init, xinit, '-nocheck')	if exist(f.out, 'file'), delete(f.out), end	if ~isvar('f.sys_type')		f.sys_type = ['2z@' f.wtr '@-'];	end	f.saver	= 'stack,1';	f.alg	= sprintf('osemc,%s,%d,%d,1', f.precon, f.nblock, sg.na);	f.penal	= '-';	f.method = sprintf('@%d@%s@%s', f.niter, f.alg, f.penal);	f.com = sprintf(['i -chat 5 empl3 %s %s  %s %s 1 %s 1 %s %s' ...			' %s %s 0 1 %g 0 -'], ...		f.out, f.init, f.yi, f.ci, f.ri, f.sys_type, f.mask, ...		f.method, f.saver, f.pixmax);	os_run(f.com)	xasp = double(fld_read(f.out));	im(122, xasp, 'Aspire E-ML-OSEM iterations'), cbar horizendif 0 % test aspire preconditioner	pasp = squeeze(fld_read('p.fld'));	im clf, im(211, precon, 'precon'), cbar	im(212, pasp, 'aspire'), cbar	max_percent_diff(precon, pasp)	minmax(precon-pasp)returnendif 1	t = vcorrcoef(xasp, xmat);	printf('corr. %g,%g', t, t-1)	im clf, im pl 2 2	im(1, xmat, 'xhat matlab'), cbar	im(2, xasp, 'xhat aspire'), cbar	im(3, (xasp-xmat)/max(xmat(:)), 'aspire-matlab'), cbar	t1 = eql_obj(xmat, G, yi(:), ci(:), ri(:), [], ig.mask);	t2 = eql_obj(xasp, G, yi(:), ci(:), ri(:), [], ig.mask);	if im		subplot(224)		plot(0:f.niter, t1-t1(1), '-o', 0:f.niter, t2-t1(1), '-x')		xlabel iteration, ylabel '\Phi change', legend('mat', 'asp', 4)		title(sprintf('E-ML-OSEM, Nsubset=%d', f.nblock))	endend

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