CBCT_FDK_MLEM_March_2014
所属分类:其他
开发工具:matlab
文件大小:70KB
下载次数:39
上传日期:2017-04-20 18:46:23
上 传 者:
xuehuitanwan
说明: 三维CT图像重建算法。此算法是基于FDK的三维图像重建算法。
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文件列表:
CBCT_FDK_MLEM_March_2014\Demo1_projection.m (1679, 2014-02-28)
CBCT_FDK_MLEM_March_2014\Demo2_FBP.m (2146, 2014-02-28)
CBCT_FDK_MLEM_March_2014\Demo3_MLEM.m (2230, 2014-02-28)
CBCT_FDK_MLEM_March_2014\Phantom128.mat (80436, 2014-02-28)
CBCT_FDK_MLEM_March_2014\Phantom64.mat (15720, 2014-02-28)
CBCT_FDK_MLEM_March_2014\bin\backprojection.m (668, 2014-02-28)
CBCT_FDK_MLEM_March_2014\bin\CTbackprojection.m (315, 2014-02-28)
CBCT_FDK_MLEM_March_2014\bin\CTprojection.m (284, 2014-02-28)
CBCT_FDK_MLEM_March_2014\bin\filtering.m (348, 2014-02-28)
CBCT_FDK_MLEM_March_2014\bin\filtering_conv.m (1739, 2014-02-28)
CBCT_FDK_MLEM_March_2014\bin\filtering_fft.m (1830, 2014-02-28)
CBCT_FDK_MLEM_March_2014\bin\projection.m (1076, 2014-02-28)
license.txt (1304, 2014-02-28)
This program is made by Kyungsang Kim.
If you have questions or problems, send an e-mail to me.
kssigari@gmail.com
Please try these steps for test.
1. Demo1 is the projection for making measurements.
2. Demo2 is the analytic reconstruction well known as the filtered backprojection
3. Demo3 is the iterative reconstruction using the maximum likelihood expectation maximization (MLEM) method.
nx: number of image pixels of x-direction
ny: number of image pixels of y-direction
nz: number of image pixels of z-direction
sx: real size (length) of x-axis of the image -> resolution of a pixel = sx/nx
sx: real size (length) of y-axis of the image -> resolution of a pixel = sy/ny
sx: real size (length) of z-axis of the image -> resolution of a pixel = sz/nz
nu: number of detector pixels of x-direction (u)
nv: number of detector pixels of z-direction (axial) (v)
su: size of real (length) of detector u-direction -> resolution of a pixel = su/nu
sv: size of real (length) of detector v-direction -> resolution of a pixel = sv/nv
DSD: distance between source to detector
DSO: distance between source to iso-center (image center).
dir: rotation direction (+1 or -1) clockwise or counter-clockwise: when using real data, if you don't know direction, just try +1 or -1, then you can find it
dang: interval of angular sampling (degree), if the value is 1, each projection rotates 1 degree.
filteringtype: convolution or fft, two options: 'conv' or 'fft', in 'conv' option we provide only ramp filter.
filter: 'ram-lak','shepp-logan','cosine', 'hamming', 'hann' : (ramp + additional filter), working when filteringtype is 'fft'
Enjoy
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