Documentation/Nightly/Extensions/DICOMPhilipsRescalePlugin - Revision history

UpdateBot: Prepend documentation/versioncheck template. See http://na-mic.org/Mantis/view.php?id=2887

2013-06-14T08:05:36Z

Prepend documentation/versioncheck template. See http://na-mic.org/Mantis/view.php?id=2887

Fedorov at 13:20, 16 April 2013

2013-04-16T13:20:45Z

Fedorov at 13:18, 16 April 2013

2013-04-16T13:18:08Z

Fedorov at 13:06, 16 April 2013

2013-04-16T13:06:44Z

Fedorov at 19:52, 15 April 2013

2013-04-15T19:52:19Z

Fedorov: Created page with ' {{documentation/{{documentation/version}}/module-header}} {{doc…'

2013-04-15T19:51:08Z

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{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
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This work is supported by NA-MIC, NAC, NCIGT, and the Slicer Community. This work is partially supported by Brain Science Foundation and NIH U01 CA151261.<br>
Author: Andrey Fedorov, SPL; Tom Chenevert, University of Michigan <br>
Contact: Andrey Fedorov <email>fedorov@bwh.harvard.edu</email> <br>
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{{documentation/{{documentation/version}}/module-section|Module Description}}

This plugin applies manufacturer-specific scaling to the image data collected using Philips MR scanner on its import from DICOM into Slicer. Without applying such scaling, the voxel data stored in the image is not quantitative, i.e., measured values may not be comparable across images. The rescale procedure was provided by Tom Chenevert, U.Michigan, as part of NCI Quantitative Imaging Network Bioinformatics Working Group activities.

'''WARNING''': this plugin should be used only for the un-processed images obtained from the scanner. For the derived images, such as Apparent Diffusion Coefficient or Fractional Anisotropy maps, Philips software creates DICOM images with valid rescaling information stored in the standard rescale tags of DICOM. There is no need to account for private rescaling tags for such images.


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Most frequently used for these scenarios:
* Quantitative measurements from the un-processed MR images obtained on a Philips scanner.


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None.


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{|
| The module will recognize Philips dataset when it is selected in DICOM Module of 3D Slicer. It will parse private tags in the dataset and will apply rescaling following the following formula:

QuantitativeValue = [SV-ScInt] / ScSlp,

where SV = stored DICOM pixel value, ScInt = Scale Intercept = (2005,100d), ScSlp = Scale Slope = (2005,100e).

|[[Image:Slicer4_DICOMPhilipsRescalePlugin.png|thumb|450px|A dataset collected using Philips scanner is automatically recognized, and the user is provided an option to apply rescaling stored in Philips private tages.]]
|}


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N/A


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		+	The imaging experiment has been designed and conducted by Tom Chenevert, University of Michigan.

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 Most frequently used for these scenarios:
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