AnonymizeMacro

MacroModule

genre	DICOM
author	MeVis Medical Solutions AG
package	MeVisLab/Standard
definition	dicommacros.def
see also	ImageSave, MakeName, ImageLoadMulti, LoadBase
keywords	name, patient, image, personal, data

Purpose

The AnonymizeMacro module removes undesired DICOM tags from a dataset. It is possible to modify tags, such as the patient’s name, to a value of your choosing.

Usage

The macro is quite simple to use - just put it in the network behind an ImageLoad, for example, and the dataset on the output field is automatically anonymized. In the module’s panel, you can specify new templates for the replacement of personal patient data. You can also define a file name and path. By pressing the Save button, the anonymized dataset will be saved.

Details

The AnonymizeMacro module works internally with the modules DicomTagModify and MakeName. An ImageSave module is also used, but not really necessary for the macro’s functionality. It offers only the additional functionality to save the dataset more comfortably.

The example network shows a simple load module that is connected to the AnonymizeMacro. The anonymized result image or dataset can be shown in a View2D macro.

Windows

Default Panel

This panel contains parameters to specify new values for patient-individual data:

• Patients Name
• Series Description
• Patients Birth Date
• Patient ID

You can modify further tags by pressing the Modify Further Tags button. The resulting output dicom tags can be inspected by pressing the View Tags button. The modifications can be saved using the save button. The file name is specified in Out Name.

Input Fields

The module has one image input. The image should contain DICOM.

input0

name: input0, type: Image

Output Fields

The module has one output, containing an image data type.

output0

name: output0, type: Image

Parameter Fields

Field Index

Change Patient ID: Bool	Patients Name: String
Change Patients Birth Date: Bool	Save: Trigger
Change Patients Name: Bool	Series Description: String
Change Series Description: Bool	Status: String
Comment: String	Tiff Compression: Enum
Out Name: String
Patient ID: String
Patients Birth Date: String

Visible Fields

Patients Name

name: patientsName, type: String, default: NewPatientsName

Series Description

name: seriesDescription, type: String, default: NewSeriesDesc

Patients Birth Date

name: patientsBirthDate, type: String, default: 20000101

Patient ID

name: patientID, type: String, default: NewPatientID

Change Patients Name

name: changePatientsName, type: Bool, default: TRUE

Change Series Description

name: changeSeriesDescription, type: Bool, default: TRUE

Change Patients Birth Date

name: changePatientsBirthDate, type: Bool, default: TRUE

Change Patient ID

name: changePatientID, type: Bool, default: TRUE

Out Name

name: outName, type: String

Sets the path and file name for the anonymized dataset or image.

Default values are the new patient name with a unique trailing number and the source path.

Save

name: save, type: Trigger

Status

name: status, type: String, persistent: no

Comment

name: comment, type: String, default: Anonymized by MeVisLab

Tiff Compression

name: tiffCompression, type: Enum, default: None

Values:

Title	Name
None	None
Packbits	Packbits
Lzw	LZW