Difference: FREDOptimizerStudies (1 vs. 7)

Revision 72020-10-22 - AlessioSarti

 
META TOPICPARENT name="SBAMSoftwareProjects"

FRED Optimizer tips & helps


Installing and running

The Optimizer lives under git.

Download using

git clone http://XXXuser@arpg-serv.ing2.uniroma1.it:8181/git/Optimizer.git 

where you need to replace XXXuser with the account under the git server (if you don't know if you have an account, ask a.sarti) and compile it as it is explained inside README.txt

Changed:
<
<
To run the optimizer one has to launch it using the syntax
>
>
To run the optimizer one has to launch it using the syntax
 
./optiRoot #inputfile

A template for the input file that uses 7 different fields can be found in the folder inpFiles.

The input file

The input files contains several fields and lines to setup the optimizer:

  • The dij for each field can be specified using dij:
  • ptv: defines what is the PTV and the goal dose, the weight
  • oar: for the organs at risk one can set the max dose, the weight and the DMF.
  • NoT: for the normal tissues (CT - PTV - OARs) one can set the max dose, the weight, the DMF and the threshold applied to consider the voxels as NoT
  • outFlag: flags the output files
Changed:
<
<
As an example:
>
>
As an example:
 
dij: SingleFieldMatrix/70MeV/Dij_merge1.bin
dij: SingleFieldMatrix/70MeV/Dij_merge2.bin
dij: SingleFieldMatrix/70MeV/Dij_merge3.bin
dij: SingleFieldMatrix/70MeV/Dij_merge4.bin
dij: SingleFieldMatrix/70MeV/Dij_merge5.bin
dij: SingleFieldMatrix/70MeV/Dij_merge6.bin
dij: SingleFieldMatrix/70MeV/Dij_merge7.bin
ptv: PTVTrue_NEW_itk.mhd Dgoal 2
oar: vescica_NEW_itk.mhd maxDose 2.2 DMF 1. weight 20 
oar: retto_NEW_itk.mhd maxDose 2.2 DMF 1. weight 20 
oar: bulbopenieno_NEW_itk.mhd maxDose 2.2 DMF 1. weight 20 
oar: femoredx_NEW_itk.mhd maxDose 1. DMF 1. weight 20 
oar: femoresin_NEW_itk.mhd maxDose 1. DMF 1. weight 20 
oar: ano_NEW_itk.mhd maxDose 2.2 DMF 1. weight 20 
NoT: maxDose 1.2 DMF 1. weight 10 thre 5.
outFlag: 70MeV_VeReBp22Gy_NT12_DMF1_OAR20


Changed:
<
<
The is also the possibility to choose the initial particle numbers (the initial 'guess') using the directive fluences.
>
>
The is also the possibility to choose the initial particle numbers (the initial 'guess') using the directive fluences.
 
Typical input=
...
fluences: choice
...
With the following options for choice
1) "ones" [default] : set all PBs to unitary fluence
2) "random" : fill PBs fluences with random values in [1:10] range
3) path : load initial fluences from given file (format same as writePBs() function)

The use of the weights herebefore sets NoT @ 10%, OARs @ 20% and PTV @ 100%.

The new workflow

  • PTVs are loaded, setting plannedDose, DMF (default = 1) and weight (default 100%)
  • OARS are loaded, setting maxDose, DMF, weights. If a voxel is flagged as PTV, it is not overwritten.
  • loads the NT as ALL - PTV - OARS applying a threshold that can be tuned in the NoT field.
  • DMF is populated and applied when computing the dose/loading the Dij
After the configuration:
  1. As a first thing the optimizer writes the voxel maps in the different ROIs: rois_outflag.mhd.
  2. Then the dens map of the DMF is written as well: alldmf_outflag.mhd
  3. The optimizer is launched
  4. Reconstruct and writes the optimized dose map: optiDose_outflag.mhd
To investigate the output, please look at the following section.

Checking the output

Creating the DVHs and analysing the output

Inside the Optimizer repo there's a fantastic tool from A. Schiavi for monitoring and showing the information.

Changed:
<
<
The tool is named: script/planViewerFred.py..
>
>
The tool is named: script/planViewerFred.py..
  It can be used to:
  • load the CT: -CT ctname.mhd
It is a fusion of the capabilities of itksnap and mhd_DVH that are shown below.

Useful commands:

  • q: quits

Other / older tools

Older tools that were used before (and now superseded): mhd_DVH.py.

Changed:
<
<
To run it:
>
>
To run it:
 
./testDVH/mhd_DVH.py -p -v -roi PTVTrue_NEW_itk.mhd vescica_NEW_itk.mhd retto_NEW_itk.mhd bulbopenieno_NEW_itk.mhd 
ano_NEW_itk.mhd femoredx_NEW_itk.mhd femoresin_NEW_itk.mhd -dose optiDose_70MeV_0.8Op_PTV_2GyVesRet_1Gyall.mhd 
--norm-volume -Dgoal 200
Changed:
<
<
The available options can be prompted using
>
>
The available options can be prompted using
 
./testDVH/mhd_DVH.py -h

Browsing the results using itksnap

To check the dose using itksnap, you can on lisa use the installed binaries.

export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/opt/nvidia/nsight-systems/2019.3.7/Host-x86_64/ 
export DYLD_LIBRARY_PATH=$DYLD_LIBRARY_PATH:/opt/nvidia/nsight-systems/2019.3.7/Host-x86_64/
 
Changed:
<
<
To run the software:
>
>
To run the software:
 
/home_arpg/software/itksnap-3.8.0-20190612-Linux-gcc64-qt4/bin/itksnap  

First of all you can add the dicom, then the optiDose mhd to make a superposition.

Added:
>
>

Prostate studies

The first case with seven fields

The relevant files can be found in lisa.

The intial CT, the mhd files and plan infos are under:

/NAS_arpg/FlashElectrons/MinINFO_mhd

  • CT: contains the initial CT info
  • DicomImportFromMarta: contains the structures that Marta identified with the help of Elisa script
 -- Alessio Sarti - 2020-10-06

Comments


<--/commentPlugin-->
Deleted:
<
<

Revision 62020-10-21 - AlessioSarti

 
META TOPICPARENT name="SBAMSoftwareProjects"

FRED Optimizer tips & helps


Installing and running

The Optimizer lives under git.

Changed:
<
<
Download using
>
>
Download using
 
git clone http://XXXuser@arpg-serv.ing2.uniroma1.it:8181/git/Optimizer.git 

where you need to replace XXXuser with the account under the git server (if you don't know if you have an account, ask a.sarti) and compile it as it is explained inside README.txt

To run the optimizer one has to launch it using the syntax

./optiRoot #inputfile

A template for the input file that uses 7 different fields can be found in the folder inpFiles.

The input file

The input files contains several fields and lines to setup the optimizer:

  • The dij for each field can be specified using dij:
  • ptv: defines what is the PTV and the goal dose, the weight
  • oar: for the organs at risk one can set the max dose, the weight and the DMF.
  • NoT: for the normal tissues (CT - PTV - OARs) one can set the max dose, the weight, the DMF and the threshold applied to consider the voxels as NoT
  • outFlag: flags the output files
As an example:
dij: SingleFieldMatrix/70MeV/Dij_merge1.bin
dij: SingleFieldMatrix/70MeV/Dij_merge2.bin
dij: SingleFieldMatrix/70MeV/Dij_merge3.bin
dij: SingleFieldMatrix/70MeV/Dij_merge4.bin
dij: SingleFieldMatrix/70MeV/Dij_merge5.bin
dij: SingleFieldMatrix/70MeV/Dij_merge6.bin
dij: SingleFieldMatrix/70MeV/Dij_merge7.bin
ptv: PTVTrue_NEW_itk.mhd Dgoal 2
oar: vescica_NEW_itk.mhd maxDose 2.2 DMF 1. weight 20 
oar: retto_NEW_itk.mhd maxDose 2.2 DMF 1. weight 20 
oar: bulbopenieno_NEW_itk.mhd maxDose 2.2 DMF 1. weight 20 
oar: femoredx_NEW_itk.mhd maxDose 1. DMF 1. weight 20 
oar: femoresin_NEW_itk.mhd maxDose 1. DMF 1. weight 20 
oar: ano_NEW_itk.mhd maxDose 2.2 DMF 1. weight 20 
NoT: maxDose 1.2 DMF 1. weight 10 thre 5.
outFlag: 70MeV_VeReBp22Gy_NT12_DMF1_OAR20


The is also the possibility to choose the initial particle numbers (the initial 'guess') using the directive fluences.

Typical input=
...
fluences: choice
...
With the following options for choice
1) "ones" [default] : set all PBs to unitary fluence
2) "random" : fill PBs fluences with random values in [1:10] range
3) path : load initial fluences from given file (format same as writePBs() function)

The use of the weights herebefore sets NoT @ 10%, OARs @ 20% and PTV @ 100%.

The new workflow

  • PTVs are loaded, setting plannedDose, DMF (default = 1) and weight (default 100%)
  • OARS are loaded, setting maxDose, DMF, weights. If a voxel is flagged as PTV, it is not overwritten.
  • loads the NT as ALL - PTV - OARS applying a threshold that can be tuned in the NoT field.
  • DMF is populated and applied when computing the dose/loading the Dij
After the configuration:
  1. As a first thing the optimizer writes the voxel maps in the different ROIs: rois_outflag.mhd.
  2. Then the dens map of the DMF is written as well: alldmf_outflag.mhd
  3. The optimizer is launched
  4. Reconstruct and writes the optimized dose map: optiDose_outflag.mhd
To investigate the output, please look at the following section.

Checking the output

Creating the DVHs and analysing the output

Changed:
<
<
In order to generate the DVH a script is provided by git.
>
>
Inside the Optimizer repo there's a fantastic tool from A. Schiavi for monitoring and showing the information.
 
Added:
>
>
The tool is named: script/planViewerFred.py..

It can be used to:

  • load the CT: -CT ctname.mhd
It is a fusion of the capabilities of itksnap and mhd_DVH that are shown below.

Useful commands:

  • q: quits

Other / older tools

Older tools that were used before (and now superseded): mhd_DVH.py.

 To run it:
./testDVH/mhd_DVH.py -p -v -roi PTVTrue_NEW_itk.mhd vescica_NEW_itk.mhd retto_NEW_itk.mhd bulbopenieno_NEW_itk.mhd 
ano_NEW_itk.mhd femoredx_NEW_itk.mhd femoresin_NEW_itk.mhd -dose optiDose_70MeV_0.8Op_PTV_2GyVesRet_1Gyall.mhd 
--norm-volume -Dgoal 200

The available options can be prompted using

Changed:
<
<
./testDVH/mhd_DVH.py -h
>
>
./testDVH/mhd_DVH.py -h
 
Changed:
<
<
The output is.
>
>
Added:
>
>

Browsing the results using itksnap

 
Changed:
<
<
To check the dose using itksnap, you can on lisa use the installed binaries.
>
>
To check the dose using itksnap, you can on lisa use the installed binaries.
 
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/opt/nvidia/nsight-systems/2019.3.7/Host-x86_64/ 
export DYLD_LIBRARY_PATH=$DYLD_LIBRARY_PATH:/opt/nvidia/nsight-systems/2019.3.7/Host-x86_64/
 

To run the software:

/home_arpg/software/itksnap-3.8.0-20190612-Linux-gcc64-qt4/bin/itksnap  

First of all you can add the dicom, then the optiDose mhd to make a superposition.

-- Alessio Sarti - 2020-10-06

Comments


<--/commentPlugin-->

Revision 52020-10-12 - AlessioSarti

 
META TOPICPARENT name="SBAMSoftwareProjects"

FRED Optimizer tips & helps


Installing and running

The Optimizer lives under git.

Changed:
<
<
Download using
>
>
Download using
Deleted:
<
<
<--?xml version="1.0" encoding="UTF-8"?-->
 
git clone http://XXXuser@arpg-serv.ing2.uniroma1.it:8181/git/Optimizer.git 

where you need to replace XXXuser with the account under the git server (if you don't know if you have an account, ask a.sarti) and compile it as it is explained inside README.txt

To run the optimizer one has to launch it using the syntax

Deleted:
<
<
 
./optiRoot #inputfile
Changed:
<
<
A template for the input file that uses 7 different fields can be found in the folder inpFiles.
>
>
A template for the input file that uses 7 different fields can be found in the folder inpFiles.
 

The input file

The input files contains several fields and lines to setup the optimizer:

  • The dij for each field can be specified using dij:
  • ptv: defines what is the PTV and the goal dose, the weight
  • oar: for the organs at risk one can set the max dose, the weight and the DMF.
  • NoT: for the normal tissues (CT - PTV - OARs) one can set the max dose, the weight, the DMF and the threshold applied to consider the voxels as NoT
  • outFlag: flags the output files
As an example:
Deleted:
<
<
 
dij: SingleFieldMatrix/70MeV/Dij_merge1.bin
dij: SingleFieldMatrix/70MeV/Dij_merge2.bin
dij: SingleFieldMatrix/70MeV/Dij_merge3.bin
dij: SingleFieldMatrix/70MeV/Dij_merge4.bin
dij: SingleFieldMatrix/70MeV/Dij_merge5.bin
dij: SingleFieldMatrix/70MeV/Dij_merge6.bin
dij: SingleFieldMatrix/70MeV/Dij_merge7.bin
ptv: PTVTrue_NEW_itk.mhd Dgoal 2
oar: vescica_NEW_itk.mhd maxDose 2.2 DMF 1. weight 20 
oar: retto_NEW_itk.mhd maxDose 2.2 DMF 1. weight 20 
oar: bulbopenieno_NEW_itk.mhd maxDose 2.2 DMF 1. weight 20 
oar: femoredx_NEW_itk.mhd maxDose 1. DMF 1. weight 20 
oar: femoresin_NEW_itk.mhd maxDose 1. DMF 1. weight 20 
oar: ano_NEW_itk.mhd maxDose 2.2 DMF 1. weight 20 
NoT: maxDose 1.2 DMF 1. weight 10 thre 5.
Changed:
<
<
outFlag: 70MeV_VeReBp22Gy_NT12_DMF1_OAR20
>
>
outFlag: 70MeV_VeReBp22Gy_NT12_DMF1_OAR20
 
Deleted:
<
<
The use of the weights herebefore sets NoT @ 10%, OARs @ 20% and PTV @ 100%.

The new workflow

 
Changed:
<
<
- legge il DMF_NT (default = 1)
- carica i PTV con relativa plannedDose ed eventuale DMF (default = 1)
- carica gli OAR con relativa maxDose ed eventuale DMF (default = 1)
- crea la mappa “dense” del DMF (per ogni voxel della CT)
- carica le varie Dij (ad esempio una per ogni field) applicando il DMF
>
>
 
Changed:
<
<
- output: scrive la mappa con i voxel appartenenti alle varie ROI => rois.mhd
- output: scrive la mappa densa con il DMF delle varie ROI => alldmf.mhd
>
>
The is also the possibility to choose the initial particle numbers (the initial 'guess') using the directive fluences.
Added:
>
>
Typical input=
...
fluences: choice
...
With the following options for choice
1) "ones" [default] : set all PBs to unitary fluence
2) "random" : fill PBs fluences with random values in [1:10] range
3) path : load initial fluences from given file (format same as writePBs() function)
 
Changed:
<
<
- lancia l’ottimizzatore
>
>
The use of the weights herebefore sets NoT @ 10%, OARs @ 20% and PTV @ 100%.
Added:
>
>

The new workflow

  • PTVs are loaded, setting plannedDose, DMF (default = 1) and weight (default 100%)
  • OARS are loaded, setting maxDose, DMF, weights. If a voxel is flagged as PTV, it is not overwritten.
  • loads the NT as ALL - PTV - OARS applying a threshold that can be tuned in the NoT field.
  • DMF is populated and applied when computing the dose/loading the Dij
After the configuration:
  1. As a first thing the optimizer writes the voxel maps in the different ROIs: rois_outflag.mhd.
  2. Then the dens map of the DMF is written as well: alldmf_outflag.mhd
  3. The optimizer is launched
  4. Reconstruct and writes the optimized dose map: optiDose_outflag.mhd
To investigate the output, please look at the following section.
 
Deleted:
<
<
- output: ricostruisce e scrive la mappa di dose ottimizzata (usando il DMF) => optiDose.mhd
 

Checking the output

Creating the DVHs and analysing the output

In order to generate the DVH a script is provided by git.

To run it:

Deleted:
<
<
 
./testDVH/mhd_DVH.py -p -v -roi PTVTrue_NEW_itk.mhd vescica_NEW_itk.mhd retto_NEW_itk.mhd bulbopenieno_NEW_itk.mhd 
ano_NEW_itk.mhd femoredx_NEW_itk.mhd femoresin_NEW_itk.mhd -dose optiDose_70MeV_0.8Op_PTV_2GyVesRet_1Gyall.mhd 
--norm-volume -Dgoal 200

The available options can be prompted using

Deleted:
<
<
 
./testDVH/mhd_DVH.py -h

The output is.

Added:
>
>
To check the dose using itksnap, you can on lisa use the installed binaries.
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/opt/nvidia/nsight-systems/2019.3.7/Host-x86_64/ 
export DYLD_LIBRARY_PATH=$DYLD_LIBRARY_PATH:/opt/nvidia/nsight-systems/2019.3.7/Host-x86_64/
 

To run the software:

/home_arpg/software/itksnap-3.8.0-20190612-Linux-gcc64-qt4/bin/itksnap  

First of all you can add the dicom, then the optiDose mhd to make a superposition.

 -- Alessio Sarti - 2020-10-06

Comments


<--/commentPlugin-->
Added:
>
>

Revision 42020-10-12 - AlessioSarti

 
META TOPICPARENT name="SBAMSoftwareProjects"

FRED Optimizer tips & helps


Installing and running

The Optimizer lives under git.

Download using

<--?xml version="1.0" encoding="UTF-8"?-->
Added:
>
>
 
git clone http://XXXuser@arpg-serv.ing2.uniroma1.it:8181/git/Optimizer.git 

where you need to replace XXXuser with the account under the git server (if you don't know if you have an account, ask a.sarti) and compile it as it is explained inside README.txt

To run the optimizer one has to launch it using the syntax

Added:
>
>
 
./optiRoot #inputfile

A template for the input file that uses 7 different fields can be found in the folder inpFiles.

The input file

The input files contains several fields and lines to setup the optimizer:

  • The dij for each field can be specified using dij:
  • ptv: defines what is the PTV and the goal dose, the weight
Changed:
<
<
  • oar: for the organs at risk one can set the max dose, the weight and the DMF.
>
>
  • oar: for the organs at risk one can set the max dose, the weight and the DMF.
 
  • NoT: for the normal tissues (CT - PTV - OARs) one can set the max dose, the weight, the DMF and the threshold applied to consider the voxels as NoT
  • outFlag: flags the output files
As an example:
Added:
>
>
 
dij: SingleFieldMatrix/70MeV/Dij_merge1.bin
dij: SingleFieldMatrix/70MeV/Dij_merge2.bin
dij: SingleFieldMatrix/70MeV/Dij_merge3.bin
dij: SingleFieldMatrix/70MeV/Dij_merge4.bin
dij: SingleFieldMatrix/70MeV/Dij_merge5.bin
dij: SingleFieldMatrix/70MeV/Dij_merge6.bin
dij: SingleFieldMatrix/70MeV/Dij_merge7.bin
ptv: PTVTrue_NEW_itk.mhd Dgoal 2
oar: vescica_NEW_itk.mhd maxDose 2.2 DMF 1. weight 20 
oar: retto_NEW_itk.mhd maxDose 2.2 DMF 1. weight 20 
oar: bulbopenieno_NEW_itk.mhd maxDose 2.2 DMF 1. weight 20 
oar: femoredx_NEW_itk.mhd maxDose 1. DMF 1. weight 20 
oar: femoresin_NEW_itk.mhd maxDose 1. DMF 1. weight 20 
oar: ano_NEW_itk.mhd maxDose 2.2 DMF 1. weight 20 
NoT: maxDose 1.2 DMF 1. weight 10 thre 5.
outFlag: 70MeV_VeReBp22Gy_NT12_DMF1_OAR20
Added:
>
>
 The use of the weights herebefore sets NoT @ 10%, OARs @ 20% and PTV @ 100%.

The new workflow

- legge il DMF_NT (default = 1)
- carica i PTV con relativa plannedDose ed eventuale DMF (default = 1)
- carica gli OAR con relativa maxDose ed eventuale DMF (default = 1)
- crea la mappa “dense” del DMF (per ogni voxel della CT)
- carica le varie Dij (ad esempio una per ogni field) applicando il DMF

- output: scrive la mappa con i voxel appartenenti alle varie ROI => rois.mhd
- output: scrive la mappa densa con il DMF delle varie ROI => alldmf.mhd

- lancia l’ottimizzatore

- output: ricostruisce e scrive la mappa di dose ottimizzata (usando il DMF) => optiDose.mhd

Checking the output

Creating the DVHs and analysing the output

In order to generate the DVH a script is provided by git.

Changed:
<
<
To run it:
>
>
To run it:
Deleted:
<
<
./testDVH/mhd_DVH.py -p -v -roi PTVTrue_NEW_itk.mhd vescica_NEW_itk.mhd retto_NEW_itk.mhd bulbopenieno_NEW_itk.mhd ano_NEW_itk.mhd femoredx_NEW_itk.mhd femoresin_NEW_itk.mhd -dose optiDose_70MeV_0.8Op_PTV_2GyVesRet_1Gyall.mhd --norm-volume -Dgoal 200
 
Changed:
<
<
The available options can be prompted using
>
>
./testDVH/mhd_DVH.py -p -v -roi PTVTrue_NEW_itk.mhd vescica_NEW_itk.mhd retto_NEW_itk.mhd bulbopenieno_NEW_itk.mhd 
Added:
>
>
ano_NEW_itk.mhd femoredx_NEW_itk.mhd femoresin_NEW_itk.mhd -dose optiDose_70MeV_0.8Op_PTV_2GyVesRet_1Gyall.mhd --norm-volume -Dgoal 200

The available options can be prompted using

 
./testDVH/mhd_DVH.py -h

The output is.

-- Alessio Sarti - 2020-10-06

Comments


<--/commentPlugin-->

Revision 32020-10-09 - AlessioSarti

 
META TOPICPARENT name="SBAMSoftwareProjects"

FRED Optimizer tips & helps

Changed:
<
<
>
>

 

Installing and running

The Optimizer lives under git.

Changed:
<
<
Download and compile it as it is explained inside README.txt
>
>
Download using
 
Changed:
<
<
To run the optimizer one has to launch it using the syntac
>
>
<--?xml version="1.0" encoding="UTF-8"?-->
Added:
>
>
git clone http://XXXuser@arpg-serv.ing2.uniroma1.it:8181/git/Optimizer.git 
 
Changed:
<
<
./optiRoot #iunputfile
>
>
where you need to replace XXXuser with the account under the git server (if you don't know if you have an account, ask a.sarti) and compile it as it is explained inside README.txt
 
Changed:
<
<
Where the input file can be based on the example provided in git.
>
>
To run the optimizer one has to launch it using the syntax
Added:
>
>
./optiRoot #inputfile

A template for the input file that uses 7 different fields can be found in the folder inpFiles.

 

The input file

Changed:
<
<
Importanti aggiunte/modifiche:
- lettura da file di input del piano di ottimizzazio
- aggiunta del DMF per ogni PTV e ogni OAR
- aggiunta del DMF per i tessuti normali (DMF_NT)
>
>
The input files contains several fields and lines to setup the optimizer:
  • The dij for each field can be specified using dij:
Added:
>
>
  • ptv: defines what is the PTV and the goal dose, the weight
  • oar: for the organs at risk one can set the max dose, the weight and the DMF.
  • NoT: for the normal tissues (CT - PTV - OARs) one can set the max dose, the weight, the DMF and the threshold applied to consider the voxels as NoT
  • outFlag: flags the output files
As an example:
dij: SingleFieldMatrix/70MeV/Dij_merge1.bin
dij: SingleFieldMatrix/70MeV/Dij_merge2.bin
dij: SingleFieldMatrix/70MeV/Dij_merge3.bin
dij: SingleFieldMatrix/70MeV/Dij_merge4.bin
dij: SingleFieldMatrix/70MeV/Dij_merge5.bin
dij: SingleFieldMatrix/70MeV/Dij_merge6.bin
dij: SingleFieldMatrix/70MeV/Dij_merge7.bin
ptv: PTVTrue_NEW_itk.mhd Dgoal 2
oar: vescica_NEW_itk.mhd maxDose 2.2 DMF 1. weight 20 
oar: retto_NEW_itk.mhd maxDose 2.2 DMF 1. weight 20 
oar: bulbopenieno_NEW_itk.mhd maxDose 2.2 DMF 1. weight 20 
oar: femoredx_NEW_itk.mhd maxDose 1. DMF 1. weight 20 
oar: femoresin_NEW_itk.mhd maxDose 1. DMF 1. weight 20 
oar: ano_NEW_itk.mhd maxDose 2.2 DMF 1. weight 20 
NoT: maxDose 1.2 DMF 1. weight 10 thre 5.
outFlag: 70MeV_VeReBp22Gy_NT12_DMF1_OAR20
The use of the weights herebefore sets NoT @ 10%, OARs @ 20% and PTV @ 100%.
 

The new workflow

- legge il DMF_NT (default = 1)
- carica i PTV con relativa plannedDose ed eventuale DMF (default = 1)
- carica gli OAR con relativa maxDose ed eventuale DMF (default = 1)
- crea la mappa “dense” del DMF (per ogni voxel della CT)
- carica le varie Dij (ad esempio una per ogni field) applicando il DMF

- output: scrive la mappa con i voxel appartenenti alle varie ROI => rois.mhd
- output: scrive la mappa densa con il DMF delle varie ROI => alldmf.mhd

- lancia l’ottimizzatore

- output: ricostruisce e scrive la mappa di dose ottimizzata (usando il DMF) => optiDose.mhd

Checking the output

Creating the DVHs and analysing the output

In order to generate the DVH a script is provided by git.

Changed:
<
<
To run it:
>
>
To run it:
 
./testDVH/mhd_DVH.py -p -v -roi PTVTrue_NEW_itk.mhd vescica_NEW_itk.mhd retto_NEW_itk.mhd bulbopenieno_NEW_itk.mhd ano_NEW_itk.mhd femoredx_NEW_itk.mhd femoresin_NEW_itk.mhd -dose optiDose_70MeV_0.8Op_PTV_2GyVesRet_1Gyall.mhd --norm-volume -Dgoal 200
Changed:
<
<
The available options can be prompted using
>
>
The available options can be prompted using
 
./testDVH/mhd_DVH.py -h

The output is.

-- Alessio Sarti - 2020-10-06

Comments


<--/commentPlugin-->
Deleted:
<
<

Revision 22020-10-07 - AlessioSarti

 
META TOPICPARENT name="SBAMSoftwareProjects"

FRED Optimizer tips & helps

Installing and running

The Optimizer lives under git.

Download and compile it as it is explained inside README.txt

To run the optimizer one has to launch it using the syntac

./optiRoot #iunputfile

Where the input file can be based on the example provided in git.

The input file

Importanti aggiunte/modifiche:
- lettura da file di input del piano di ottimizzazio
- aggiunta del DMF per ogni PTV e ogni OAR
- aggiunta del DMF per i tessuti normali (DMF_NT)

The new workflow

- legge il DMF_NT (default = 1)
- carica i PTV con relativa plannedDose ed eventuale DMF (default = 1)
- carica gli OAR con relativa maxDose ed eventuale DMF (default = 1)
- crea la mappa “dense” del DMF (per ogni voxel della CT)
- carica le varie Dij (ad esempio una per ogni field) applicando il DMF

- output: scrive la mappa con i voxel appartenenti alle varie ROI => rois.mhd
- output: scrive la mappa densa con il DMF delle varie ROI => alldmf.mhd

- lancia l’ottimizzatore

- output: ricostruisce e scrive la mappa di dose ottimizzata (usando il DMF) => optiDose.mhd

Added:
>
>

Checking the output

Creating the DVHs and analysing the output

In order to generate the DVH a script is provided by git.

To run it:

./testDVH/mhd_DVH.py -p -v -roi PTVTrue_NEW_itk.mhd vescica_NEW_itk.mhd retto_NEW_itk.mhd bulbopenieno_NEW_itk.mhd ano_NEW_itk.mhd femoredx_NEW_itk.mhd femoresin_NEW_itk.mhd -dose optiDose_70MeV_0.8Op_PTV_2GyVesRet_1Gyall.mhd --norm-volume -Dgoal 200

The available options can be prompted using

./testDVH/mhd_DVH.py -h

The output is.

  -- Alessio Sarti - 2020-10-06

Comments


<--/commentPlugin-->

Revision 12020-10-06 - AlessioSarti

 
META TOPICPARENT name="SBAMSoftwareProjects"

FRED Optimizer tips & helps

Installing and running

The Optimizer lives under git.

Download and compile it as it is explained inside README.txt

To run the optimizer one has to launch it using the syntac

./optiRoot #iunputfile

Where the input file can be based on the example provided in git.

The input file

Importanti aggiunte/modifiche:
- lettura da file di input del piano di ottimizzazio
- aggiunta del DMF per ogni PTV e ogni OAR
- aggiunta del DMF per i tessuti normali (DMF_NT)

The new workflow

- legge il DMF_NT (default = 1)
- carica i PTV con relativa plannedDose ed eventuale DMF (default = 1)
- carica gli OAR con relativa maxDose ed eventuale DMF (default = 1)
- crea la mappa “dense” del DMF (per ogni voxel della CT)
- carica le varie Dij (ad esempio una per ogni field) applicando il DMF

- output: scrive la mappa con i voxel appartenenti alle varie ROI => rois.mhd
- output: scrive la mappa densa con il DMF delle varie ROI => alldmf.mhd

- lancia l’ottimizzatore

- output: ricostruisce e scrive la mappa di dose ottimizzata (usando il DMF) => optiDose.mhd

-- Alessio Sarti - 2020-10-06

Comments


<--/commentPlugin-->
 
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