writeMRI

Write an MR image into a file of different formats.

utilities

Implements various methods for tissue classification in magnetic
resonance (MR) images of the brain, including normal mixture models
and hidden Markov normal mixture models, as outlined in Feng &
Tierney (2011) <doi:10.18637/jss.v044.i07>. These methods allow a
structural MR image to be classified into gray matter, white matter
and cerebrospinal fluid tissue types.

Jon Clayden

mritc

MRI Tissue Classification

Dai Feng

Luke Tierney

writeMRI function

<dl> <dt>data</dt>
<dd>MRI data in a three dimensional array or four
	dimensional array with the forth dimension equal to 1.
	It could be also an object of class "nifti" or "anlz" as
	defined in the package
	<code>oro.nifti</code>.</dd> <dt>file</dt>
<dd>the name of the image file to be written out.</dd> <dt>header</dt>
<dd>the header file. <code>header</code> is set as <code>NULL</code>
	 for backward compatibility.</dd> <dt>format</dt>
<dd>the format of the image file. Right now only the
	 "Analyze", "NIfTI", and raw byte (unsigned with 1 byte per
	 element in the byte stream) gzip formats are supported.</dd></dl>

Arguments

Write an MR Image — writeMRI

<dl>

 <dt>data</dt>
<dd>MRI data in a three dimensional array or four
	dimensional array with the forth dimension equal to 1.
	It could be also an object of class "nifti" or "anlz" as
	defined in the package
	<code>oro.nifti</code>.</dd>

 <dt>file</dt>
<dd>the name of the image file to be written out.</dd>

 <dt>header</dt>
<dd>the header file. <code>header</code> is set as <code>NULL</code>
	 for backward compatibility.</dd>

 <dt>format</dt>
<dd>the format of the image file. Right now only the
	 "Analyze", "NIfTI", and raw byte (unsigned with 1 byte per
	 element in the byte stream) gzip formats are supported.</dd>

</dl>

writeMRI: Write an MR Image

Description

Usage

Value

Arguments

Details

See Also

Examples