transmission
所属分类：图形图像处理
开发工具：matlab
文件大小：26KB
下载次数：69
上传日期：2008-12-09 16:44:02
上 传 者：
xiaoyang79
说明： 用于transmission图像重建的一些算法，大部分针对的是monoenergetic发射源
This directory contains transmission tomography reconstruction algorithms,
mostly for monoenergetic sources, e.g., PET and SPECT transmission scans.
(Transmission image reconstruction for a number of algorithms, most aimed at launching monoenergetic source This directory contains transmission tomography reconstruction algorithms, mostly for monoenergetic sources, eg, PET and SPECT transmission scans.)
文件列表:
transmission\.print (0, 2002-02-06)
transmission\arch\Gsub_back.m (555, 2007-01-29)
transmission\arch\tml_osps.m (2980, 2007-01-29)
transmission\arch\tml_sps.m (2554, 2002-03-20)
transmission\arch\tpl_osps.m (3840, 2007-01-29)
transmission\arch\tql_obj.m (708, 2002-01-29)
transmission\arch\trl_curvature_opt.m (1737, 2002-01-29)
transmission\arch\trl_curvature_pre.m (1233, 2002-01-29)
transmission\test_all_transmission.m (198, 2006-01-26)
transmission\tml_bitab.m (2072, 2005-06-20)
transmission\tml_bitab_vs_sps.m (1219, 2006-01-25)
transmission\tml_convex.m (2747, 2005-06-22)
transmission\tml_convex_vs_sps.m (2811, 2006-01-25)
transmission\tml_os_sps_test.m (2167, 2006-01-26)
transmission\tpl_inc.m (7348, 2007-01-29)
transmission\tpl_obj.m (2150, 2005-10-01)
transmission\tpl_os_sps.m (3946, 2007-01-29)
transmission\tpl_os_sps_test.m (3349, 2006-01-26)
transmission\tpl_pcg_test.m (1957, 2006-01-25)
transmission\tql_os_sps_test.m (2295, 2006-01-26)
transmission\tr_fbp.m (1194, 2006-01-25)
transmission\tr_test_setup.m (2185, 2006-01-26)
transmission\trl_check.m (573, 2005-08-03)
transmission\trl_curvature.m (3145, 2007-01-29)
transmission\trl_dercurv.m (1131, 2006-01-26)
transmission\arch (0, 2008-08-21)
transmission (0, 2008-08-21)
This directory contains transmission tomography reconstruction algorithms,
mostly for monoenergetic sources, e.g., PET and SPECT transmission scans.
The ordered-subsets (OS) algorithms are not monotonic (with nsubset > 1).
A possible modification would be to use the fast precomputed denominator
and then check the cost function each iteration and if the cost function
goes the wrong direction then backtrack to 1-subset case with optimal
curvatures. But for OS methods, checking the cost function is expensive
since we would have to perform reprojection.
The recommended routine here is: tpl_os_sps.m (see tpl_os_sps_test.m)
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