spm_run_smooth.m
37b12c85c481master

spm_run_smooth.m
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			function out = spm_run_smooth(varargin)
			% SPM job execution function
			% takes a harvested job data structure and call SPM functions to perform
			% computations on the data.
			% Input:
			% job - harvested job data structure (see matlabbatch help)
			% Output:
			% out - computation results, usually a struct variable.
			%__________________________________________________________________________
			% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging

			% $Id: spm_run_smooth.m 3915 2010-06-02 17:09:10Z guillaume $

			job = varargin{1};
			out.files = cell(size(job.data));
			spm_progress_bar('Init',numel(job.data),'Smoothing','Volumes Complete');
			for i = 1:numel(job.data)
			[pth,nam,ext,num] = spm_fileparts(job.data{i});
			out.files{i} = fullfile(pth,[job.prefix nam ext num]);
			spm_smooth(job.data{i},out.files{i},job.fwhm,job.dtype);
			if job.im
			vi = spm_vol(job.data{i});
			vo = spm_vol(out.files{i});
			for j=1:numel(vi)
			vvi = spm_read_vols(vi(j),1);
			vvo = spm_read_vols(vo(j));
			if spm_type(vo(j).dt(1),'nanrep')
			vvo(isnan(vvi)) = NaN;
			else
			vvo(isnan(vvi)) = 0;
			end
			spm_write_vol(vo(j),vvo);
			end
			end
			spm_progress_bar('Set',i);
			end
			spm_progress_bar('Clear');