R语言 Rniftilib包 nifti()函数中文帮助文档(中英文对照)

loveR

nifti(Rniftilib)
nifti()所属R语言包：Rniftilib

                                        NIfTI object
                                         NIfTI对象

                                         译者：生物统计家园网 机器人LoveR

描述----------Description----------

A NIfTI object contains the image description and data of an image volume. Voxels can be accessed by the bracket [dim1,dim2,dim3,...,dim7] operator.
一个NIfTI对象包含的形象描述的图像和数据量。体素的可以访问的支架[DIM1，DIM2，为dim3，...，dim7]操作符。


用法----------Usage----------


  ## S3 method for class 'nifti'
x[
       dim1=1:nifti.image.getdim.save(x,1),
       dim2=1:nifti.image.getdim.save(x,2),
       dim3=1:nifti.image.getdim.save(x,3),
       dim4=1:nifti.image.getdim.save(x,4),
       dim5=1:nifti.image.getdim.save(x,5),
       dim6=1:nifti.image.getdim.save(x,6),
       dim7=1:nifti.image.getdim.save(x,7)]      
  ## S3 method for class 'nifti'
x$sym
  ## S3 method for class 'nifti'
dim(x)
  ## S3 method for class 'nifti'
print(x,...)
  ## S3 method for class 'nifti'
plot(x, dim1=1:nifti.image.getdim.save(x,1), dim2=1:nifti.image.getdim.save(x,2),dim3=1, dim4=1,...)
  is.nifti(x)



参数----------Arguments----------

参数：x
NIfTI image object (class nifti)
NIfTI图像对象（类nifti）


参数：sym
<table summary="Rd table"> <tr>  <td align="right">   qto.xyz</td><td align="left"> voxel to mm transformation (R style indexing!)</td> </tr> <tr>  <td align="right">    qto.ijk</td><td align="left"> mm to voxel transformation (R style indexing!)</td> </tr> <tr>  <td align="right">   sto.xyz</td><td align="left"> voxel to mm transformation (R style indexing!)</td> </tr> <tr>  <td align="right">   sto.ijk</td><td align="left"> mm to voxel transformation (R style indexing!)</td> </tr> <tr>  <td align="right">   qto_xyz</td><td align="left"> voxel to mm transformation (C style indexing!)</td> </tr> <tr>  <td align="right">    qto_ijk</td><td align="left"> mm to voxel transformation (C style indexing!)</td> </tr> <tr>  <td align="right">   sto_xyz</td><td align="left"> voxel to mm transformation (C style indexing!)</td> </tr> <tr>  <td align="right">   sto_ijk</td><td align="left"> mm to voxel transformation (C style indexing!)</td> </tr> <tr>  <td align="right">   toffset</td><td align="left"> </td> </tr> <tr>  <td align="right">   descrip</td><td align="left"> description (up to 80 characters)</td> </tr> <tr>  <td align="right">   fname</td><td align="left"> header filename (store image information)</td> </tr> <tr>  <td align="right">   iname</td><td align="left"> image filename (store image data)</td> </tr> <tr>  <td align="right">   slice.duration</td><td align="left"> time for 1 slice</td> </tr> <tr>  <td align="right">   qform.code</td><td align="left"> NIFTI.XFORM.UNKNOWN (0) </td> </tr> <tr>  <td align="right">    </td><td align="left"> NIFTI.XFORM.SCANNER.ANAT (1) </td> </tr> <tr>  <td align="right">    </td><td align="left"> NIFTI.XFORM.ALIGNED.ANAT (2) </td> </tr> <tr>  <td align="right">    </td><td align="left"> NIFTI.XFORM.TALAIRACH (3) </td> </tr> <tr>  <td align="right">    </td><td align="left"> NIFTI.XFORM.MNI.152 (4)</td> </tr> <tr>  <td align="right">    </td><td align="left"> qform code: >No< for unknown tags </td> </tr> <tr>  <td align="right">   sform.code</td><td align="left"> NIFTI.XFORM.UNKNOWN (0) </td> </tr> <tr>  <td align="right">    </td><td align="left"> NIFTI.XFORM.SCANNER.ANAT (1)</td> </tr> <tr>  <td align="right">    </td><td align="left"> NIFTI.XFORM.ALIGNED.ANAT (2)</td> </tr> <tr>  <td align="right">    </td><td align="left"> NIFTI.XFORM.TALAIRACH (3) </td> </tr> <tr>  <td align="right">    </td><td align="left"> NIFTI.XFORM.MNI.152 (4) </td> </tr> <tr>  <td align="right">    </td><td align="left"> sform code: >No< for unknown tags </td> </tr> <tr>  <td align="right">   quatern.b</td><td align="left"> </td> </tr> <tr>  <td align="right">   quatern.c</td><td align="left"> </td> </tr> <tr>  <td align="right">   quatern.d</td><td align="left"> </td> </tr> <tr>  <td align="right">   qoffset.x</td><td align="left"> </td> </tr> <tr>  <td align="right">   qoffset.y</td><td align="left"> </td> </tr> <tr>  <td align="right">   qoffset.z</td><td align="left"> </td> </tr> <tr>  <td align="right">   qfac</td><td align="left"> </td> </tr> <tr>  <td align="right">   dim</td><td align="left"> image volume size in voxel </td> </tr> <tr>  <td align="right">   pixdim</td><td align="left"> grid spacings. </td> </tr> <tr>  <td align="right">   datatype</td><td align="left"> data type (set also field nbyper)</td> </tr> <tr>  <td align="right">   nbyper</td><td align="left"> bytes per voxel, matches datatype (read only) </td> </tr> <tr>  <td align="right">   nifti.type</td><td align="left"> NIFTI.FTYPE.ANALYZE (0)  : .hdr + .img  files </td> </tr> <tr>  <td align="right">    </td><td align="left"> NIFTI.FTYPE.NIFTI1.1(1)  : .nii file </td> </tr> <tr>  <td align="right">    </td><td align="left"> NIFTI.FTYPE.NIFTI1.2 (2) : .hdr + .img files </td> </tr> <tr>  <td align="right">    </td><td align="left"> NIFTI.FTYPE.ASCII (3)    : ? </td> </tr> <tr>  <td align="right">   sizeof_hdr</td><td align="left"> MUST be 348</td> </tr> <tr>  <td align="right">   scl.slope </td><td align="left"> nifti1: Data scaling: slope.  analyze 7.5: float funused1 </td> </tr> <tr>  <td align="right">   scl.inter </td><td align="left"> nifti1: Data scaling: offset. analyze 7.5: float funused2 </td> </tr> <tr>  <td align="right">   xyz_units </td><td align="left"> NIFTI_UNITS_UNKNOWN ""     (0) </td> </tr> <tr>  <td align="right">    </td><td align="left"> NIFTI_UNITS_METER  "m"     (1) </td> </tr> <tr>  <td align="right">    </td><td align="left"> NIFTI_UNITS_MM     "mm"    (2) </td> </tr> <tr>  <td align="right">         </td><td align="left"> NIFTI_UNITS_MICRON "um"    (3) </td> </tr> <tr>  <td align="right">    </td><td align="left"> NIFTI_UNITS_SEC    "s"     (8) </td> </tr> <tr>  <td align="right">    </td><td align="left"> NIFTI_UNITS_MSEC   "ms"    (16) </td> </tr> <tr>  <td align="right">    </td><td align="left"> NIFTI_UNITS_USEC   "us"    (24) </td> </tr> <tr>  <td align="right">    </td><td align="left"> NIFTI_UNITS_HZ     "Hz"    (32) </td> </tr> <tr>  <td align="right">    </td><td align="left"> NIFTI_UNITS_PPM    "ppm"   (40) </td> </tr> <tr>  <td align="right">    </td><td align="left"> NIFTI_UNITS_RADS   "rad/s" (48) </td> </tr> <tr>  <td align="right">    </td><td align="left"> see also nifti.units.string</td> </tr> <tr>  <td align="right">      time_units</td><td align="left"> NIFTI_UNITS_UNKNOWN ""     (0) </td> </tr> <tr>  <td align="right">    </td><td align="left"> NIFTI_UNITS_METER  "m"     (1) </td> </tr> <tr>  <td align="right">    </td><td align="left"> NIFTI_UNITS_MM     "mm"    (2) </td> </tr> <tr>  <td align="right">         </td><td align="left"> NIFTI_UNITS_MICRON "um"    (3) </td> </tr> <tr>  <td align="right">    </td><td align="left"> NIFTI_UNITS_SEC    "s"     (8) </td> </tr> <tr>  <td align="right">    </td><td align="left"> NIFTI_UNITS_MSEC   "ms"    (16) </td> </tr> <tr>  <td align="right">    </td><td align="left"> NIFTI_UNITS_USEC   "us"    (24) </td> </tr> <tr>  <td align="right">    </td><td align="left"> NIFTI_UNITS_HZ     "Hz"    (32) </td> </tr> <tr>  <td align="right">    </td><td align="left"> NIFTI_UNITS_PPM    "ppm"   (40) </td> </tr> <tr>  <td align="right">    </td><td align="left"> NIFTI_UNITS_RADS   "rad/s" (48) </td> </tr> <tr>  <td align="right">    </td><td align="left"> see also nifti.units.string   </td> </tr>  </table>
<table summary="Rd table"> <TR> <td align="right">qto.xyz </ TD> <TD ALIGN="LEFT">体素毫米变换（R风格索引）</ TD > </ TR> <TR> <td align="right"> qto.ijk </ TD> <TD ALIGN="LEFT">毫米体素转化（R风格索引）</ TD> </ TR文章<td align="right"> sto.xyz </ TD> <TD ALIGN="LEFT">体素毫米变换（R风格索引）</ TD> </ TR> <TR> <td align="right"> sto.ijk </ TD> <TD ALIGN="LEFT">毫米体素转化（R风格索引）</ TD> </ TR> <TR> <TD对齐= “正确”>qto_xyz </ TD> <TD ALIGN="LEFT">体素毫米转换（C风格的索引！）</ TD> </ TR> <TR> <td align="right"> qto_ijk </ TD> <TD ALIGN="LEFT">毫米体素转换（C风格的索引！）</ TD> </ TR> <TR> <td align="right">sto_xyz </ TD> <TD ALIGN="LEFT">体素毫米转换（C风格的索引！）</ TD> </ TR> <TR> <td align="right">sto_ijk</ TD > <td ALIGN="LEFT">毫米体素转换（C风格的索引！）</ TD> </ TR> <TR> <td align="right"> toffset </ TD> <TD调整=“”> </ TD> </ TR> <TR> <td align="right"> descrip </ TD> <TD ALIGN="LEFT">描述（最多80个字符）</ TD> </ TR> <TR> <td align="right">fname </ TD> <TD ALIGN="LEFT">头文件名（存储图像信息）</ TD> </ TR> < TR> <td align="right"> iname </ TD> <TD ALIGN="LEFT">图像的文件名（存储图像数据）</ TD> </ TR> <TR> <TD对齐=“正确“>slice.duration</ TD> <TD ALIGN="LEFT">时间为1片</ TD> </ TR> <TR> <td align="right">qform.code</ TD> <TD ALIGN="LEFT">NIFTI.XFORM.UNKNOWN（0）</ TD> </ TR> <TR> <td align="right"> </ TD> <TD ALIGN="LEFT"> NIFTI.XFORM.SCANNER.ANAT（1）</ TD> </ TR> <TR> <td align="right"> </ TD> <TD ALIGN="LEFT"> NIFTI.XFORM.ALIGNED.ANAT（2）</ TD> </ TR> <TR> <td align="right"> </ TD> <TD ALIGN="LEFT">NIFTI.XFORM.TALAIRACH（3）</ TD> </ TR> <TR> <TD对齐= “正确”> </ TD> <TD ALIGN="LEFT">NIFTI.XFORM.MNI.152（4）</ TD> </ TR> <TR> <td align="right"> </ TD> <TD调整=“”>qform code: >No<未知的标签</ TD> </ TR> <TR> <td align="right">sform.code</ TD> <TD ALIGN="LEFT"> NIFTI.XFORM.UNKNOWN（0）</ TD> </ TR> <TR> <td align="right"> </ TD> <TD ALIGN="LEFT"> NIFTI.XFORM.SCANNER.ANAT（1）</ TD> </ TR> <TR> <td align="right"> </ TD> <TD ALIGN="LEFT">NIFTI.XFORM.ALIGNED.ANAT（2）</ TD> </ TR> <TR> <TD对齐= “正确”> </ TD> <TD ALIGN="LEFT">NIFTI.XFORM.TALAIRACH（3）</ TD> </ TR> <TR> <td align="right"> </ TD> <TD调整=“”>NIFTI.XFORM.MNI.152（4）</ TD> </ TR> <TR> <td align="right"> </ TD> <TD ALIGN="LEFT">sform code: >No<未知的标签</ TD> </ TR> <TR> <td align="right">quatern.b </ TD> <TD ALIGN="LEFT"> </ TD> </ TR> <TR> < TD对齐=“”>quatern.c </ TD> <TD ALIGN="LEFT"> </ TD> </ TR> <TR> <td align="right">quatern.d</ TD> <TD ALIGN="LEFT"> </ TD> </ TR> <TR> <td align="right">qoffset.x </ TD> <TD ALIGN="LEFT"> </ TD> </ TR> <TR> <td align="right"> qoffset.y </ TD> <TD ALIGN="LEFT"> </ TD> </ TR> <TR> <TD ALIGN =“正确的” > qoffset.z </ TD> <TD ALIGN="LEFT"> </ TD> </ TR> <TR> <td align="right"> qfac </ TD> <TD对齐= “左”> </ TD> </ TR> <TR> <td align="right">dim </ TD> <TD ALIGN="LEFT">图像体积大小在体元</ TD> < / TR> <TR> <td align="right"> pixdim </ TD> <TD ALIGN="LEFT">网格间距。 </ TD> </ TR> <TR> <td align="right"> datatype </ TD> <TD ALIGN="LEFT">数据类型（还田nbyper）</ TD> </ TR> <TR> <td align="right"> nbyper </ TD> <TD ALIGN="LEFT">字节每个体素，匹配的数据类型（只读）</ TD> </ TR> <TR> <td align="right"> nifti.type </ TD> <TD ALIGN="LEFT"> NIFTI.FTYPE.ANALYZE（0）：HDR +。img文件</ TD> < / TR> <TR> <td align="right"> </ TD> <TD ALIGN="LEFT">NIFTI.FTYPE.NIFTI1.1（1）：NII文件</ TD> </ TR> <TR> < TD对齐=“”> </ TD> <TD ALIGN="LEFT">NIFTI.FTYPE.NIFTI1.2（2）：HDR +。img文件</ TD> </ TR> <TR> <TD对齐=“右“> </ TD> <TD ALIGN="LEFT">NIFTI.FTYPE.ASCII（3）：？ </ TD> </ TR> <TR> <td align="right"> sizeof_hdr </ TD> <TD ALIGN="LEFT">必须是348 </ TD> </ TR> <TR> <td align="right"> scl.slope </ TD> <TD ALIGN="LEFT"> nifti1：数据缩放：斜坡。分析：7.5浮funused1 </ TD> </ TR> <TR> <td align="right">scl.inter </ TD> <TD ALIGN="LEFT"> nifti1：数据缩放：偏移。分析：7.5持股量funused2 </ TD> </ TR> <TR> <td align="right">xyz_units </ TD> <TD ALIGN="LEFT">NIFTI_UNITS_UNKNOWN“（0 ）</ TD> </ TR> <TR> <td align="right"> </ TD> <TD ALIGN="LEFT"> NIFTI_UNITS_METER“M”（1）</ TD> </ TR文章<td align="right"> </ TD> <TD ALIGN="LEFT"> NIFTI_UNITS_MM“MM”（2）</ TD> </ TR> <TR> <TD对齐= “正确”> </ TD> <TD ALIGN="LEFT">NIFTI_UNITS_MICRON“嗯”（3）</ TD> </ TR> <TR> <td align="right"> </ TD> “<td ALIGN="LEFT">NIFTI_UNITS_SEC”S“（8）</ TD> </ TR> <TR> <td align="right"> </ TD> <TD ALIGN="LEFT"> NIFTI_UNITS_MSEC“MS”（16）</ TD> </ TR> <TR> <td align="right"> </ TD> <TD ALIGN="LEFT"> NIFTI_UNITS_USEC“我们” （24）</ TD> </ TR> <TR> <td align="right"> </ TD> <TD ALIGN="LEFT"> NIFTI_UNITS_HZ“赫兹”（32）</ TD> < / TR> <TR> <td align="right"> </ TD> <TD ALIGN="LEFT">NIFTI_UNITS_PPM“PPM”（40）</ TD> </ TR> <TR> <TD ALIGN =“”> </ TD> <TD ALIGN="LEFT">NIFTI_UNITS_RADS“弧度/秒”（48）</ TD> </ TR> <TR> <td align="right"> </ TD> <TD ALIGN="LEFT">看到nifti.units.string </ TD> </ TR> <TR> <td align="right">time_units </ TD> <TD调整=“”> NIFTI_UNITS_UNKNOWN“（0）</ TD> </ TR> <TR> <td align="right"> </ TD> <TD ALIGN="LEFT">NIFTI_UNITS_METER “M”（1）</ TD> </ TR> <TR> <td align="right"> </ TD> <TD ALIGN="LEFT"> NIFTI_UNITS_MM“MM”（2）< / TD> </ TR> <TR> <td align="right"> </ TD> <TD ALIGN="LEFT">NIFTI_UNITS_MICRON“嗯”（3）</ TD> </ TR> < TR> <td align="right"> </ TD> <TD ALIGN="LEFT"> NIFTI_UNITS_SEC“S”（8）</ TD> </ TR> <TR> <TD调整=“ “> </ TD> <TD ALIGN="LEFT">NIFTI_UNITS_MSEC”MS“（16）</ TD> </ TR> <TR> <td align="right"> </ TD> <TD ALIGN =“”>NIFTI_UNITS_USEC“我们”（24）</ TD> </ TR> <TR> <td align="right"> </ TD> <TD ALIGN="LEFT"> NIFTI_UNITS_HZ“赫兹”（32）</ TD> </ TR> <TR> <td align="right"> </ TD> <TD ALIGN="LEFT">NIFTI_UNITS_PPM“PPM”（40 ）</ TD> </ TR> <TR> <td align="right"> </ TD> <TD ALIGN="LEFT"> NIFTI_UNITS_RADS“弧度/秒”（48）</ TD> < / TR> <TR> <td align="right"> </ TD> <TD ALIGN="LEFT">也见nifti.units.string</ TD> </ TR> </ TABLE>


参数：dim1
vector of voxel indices (x)
向量的体素指数（X）


参数：dim2
vector of voxel indices (y)
向量的体素指数（Y）


参数：dim3
vector of voxel indices (z)
向量的体素指数（Z）


参数：dim4
vector of voxel indices (t)
向量的体素指数（T）


参数：dim5
vector of voxel indices
向量的体素指数


参数：dim6
vector of voxel indices
向量的体素指数


参数：dim7
vector of voxel indices
向量的体素指数


参数：...
additional arguments for plotting (e.g. image) and printing
额外的绘图的参数（如：image）和印刷


（作者）----------Author(s)----------



Oliver Granert &lt;o.granert &lt;at&gt; neurologie.uni-kiel.de&gt;




参考文献----------References----------

http://niftilib.sourceforge.net

参见----------See Also----------

nifti.image.read, nifti.image.write, nifti.image.new
nifti.image.read，nifti.image.write，nifti.image.new

转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。


注：
注1：为了方便大家学习，本文档为生物统计家园网机器人LoveR翻译而成，仅供个人R语言学习参考使用，生物统计家园保留版权。
注2：由于是机器人自动翻译，难免有不准确之处，使用时仔细对照中、英文内容进行反复理解，可以帮助R语言的学习。
注3：如遇到不准确之处，请在本贴的后面进行回帖，我们会逐渐进行修订。