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= Name =
command - 1/2 sentence summary
= mri_TumorSynth =
mri_TumorSynth - To segment the healthy brain tissue and tumor in MR scans with tumor.
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command argA argB -flag1 arg1 -flag2 arg2 [-flag3 arg3] [-flag4 arg4]
 ||
I will try to change this
mri_TumorSynth --i inputvol --o outputvol [--flag arg]
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== Positional Arguments ==
|| argA || brief description || detailed description (eg, help file information) ||
|| argB || brief description || detailed description (eg, help file information) ||
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|| -flag1 arg1 || brief description || detailed description (eg, help file information) ||
|| -flag2 arg2 || brief description || detailed description (eg, help file information) ||
||--i inputvol ||input volume ||Input data. ||
||--o outputvol ||save output ||Save output after smoothing. ||
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|| -flag3 arg3 || brief description ||detailed description (eg, help file information) ||
|| -flag4 arg4 || brief description ||detailed description (eg, help file information) ||
||--wholetumor ||Output brain tissue and whole tumor mask, Input format for this flag must be skull-striped and registered into SRI-24 templates.|| ||
||--innertumor ||Save output of inner tumor structures, outputting Tumor Core, Non-Enhancing Tumor, Odema classes. Input format for this flag must be tumor ROI image, Alternately, one can use the tumor mask outputted by --wholetumor flag and multiply raw image to get the tumor ROI image. || ||
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= Outputs =
|| volume1 || description ||
|| volume2 || description ||
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command foo -i f -o out mri_TumorSynth --i t1ce.nii.gz --o t1ce_mask.nii.gz --wholetumor
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description This will give you the mask of the normal brain tissue and whole tumor mask, which include oedema, enhancing tumor and non-enhancing tumor. This t1ce is skull-striped and registerd to SRI24 template.
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command foo -i f -o out -f fvalue mri_TumorSynth --i t1ce_tumor.nii.gz --o t1ce_tumor_mask.nii.gz --innertumor
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description The required input for this stage is the tumor area in the raw image, can be prepared by using the raw image to multiply the tumor prediction label by stage 1.
This command will give you the BraTS criteria's 3 class inner tumor segmentation label.

== Install Instruction ==
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= Methods Description =
{{{
description
description
}}}
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[[References/Lastname###]] [[References/Wu###]]

mri_TumorSynth

mri_TumorSynth - To segment the healthy brain tissue and tumor in MR scans with tumor.

Synopsis

mri_TumorSynth --i inputvol --o outputvol [--flag arg]

Arguments

Required Flagged Arguments

--i inputvol

input volume

Input data.

--o outputvol

save output

Save output after smoothing.

Optional Flagged Arguments

--wholetumor

Output brain tissue and whole tumor mask, Input format for this flag must be skull-striped and registered into SRI-24 templates.

--innertumor

Save output of inner tumor structures, outputting Tumor Core, Non-Enhancing Tumor, Odema classes. Input format for this flag must be tumor ROI image, Alternately, one can use the tumor mask outputted by --wholetumor flag and multiply raw image to get the tumor ROI image.

Description

description

Examples

Example 1

mri_TumorSynth --i t1ce.nii.gz --o t1ce_mask.nii.gz --wholetumor

This will give you the mask of the normal brain tissue and whole tumor mask, which include oedema, enhancing tumor and non-enhancing tumor. This t1ce is skull-striped and registerd to SRI24 template.

Example 2

mri_TumorSynth --i t1ce_tumor.nii.gz --o t1ce_tumor_mask.nii.gz --innertumor

The required input for this stage is the tumor area in the raw image, can be prepared by using the raw image to multiply the tumor prediction label by stage 1. This command will give you the BraTS criteria's 3 class inner tumor segmentation label.

Install Instruction

Bugs

None

See Also

othercommand1, othercommand2

Links

FreeSurfer, FsFast

References

References/Wu###

Reporting Bugs

Report bugs to <analysis-bugs@nmr.mgh.harvard.edu>

Author/s

JaneSmith

TumorSynth (last edited 2025-12-22 12:10:02 by JiamingWu)