RSNA Quantitative Imaging Course - Revision history

Grundlett: Text replacement - "http://www.slicer.org/slicerWiki/index.php/" to "https://www.slicer.org/wiki/"

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Text replacement - "http://www.slicer.org/slicerWiki/index.php/" to "https://www.slicer.org/wiki/"

Spujol at 03:19, 16 June 2015

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Spujol at 21:29, 2 December 2014

2014-12-02T21:29:16Z

Spujol at 21:28, 2 December 2014

2014-12-02T21:28:54Z

Franklin.king at 23:20, 1 December 2014

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Spujol at 22:53, 14 November 2014

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Spujol at 22:52, 14 November 2014

2014-11-14T22:52:57Z

Spujol: Created page with 'Technological breakthroughs in medical imaging hardware and the emergence of increasingly sophisticated image processing software tools permit the visualization and display of co…'

2014-11-14T22:50:05Z

Created page with 'Technological breakthroughs in medical imaging hardware and the emergence of increasingly sophisticated image processing software tools permit the visualization and display of co…'

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Technological breakthroughs in medical imaging hardware and the emergence of increasingly sophisticated image processing software tools permit the visualization and display of complex anatomical structures with increasing sensitivity and specificity. This course begins with an introductory presentation of state-of-the-art, clinical examples of quantitative imaging biomarkers for diagnosis and clinical trial outcome measures. Cases from multiple imaging modalities and from multiple organ systems will be highlighted to illustrate the depth and breath of this field. Participants will then be led through a series of tutorials on the basics of viewing and processing DICOM volumes in 3D using [http://www.slicer.org 3D Slicer]. A hands-on Quantitative Imaging tutorial with pre-computed datasets will focus on basic use of 3D Slicer software, quantitative measurements from PET/CT studies, and volumetric analysis of meningioma.
This [[RSNA_Quantitative_Imaging_Course |course]] is offered in collaboration with the Johns Hopkins Institute for Clinical and Translational Research.
For additional training materials on the software, please visit the [http://www.slicer.org/slicerWiki/index.php/Documentation/4.3/Training 3D Slicer Compendium].

The RSNA quantitative Imaging Course was featured in [http://rsna.org/NewsDetail.aspx?id=12002 RSNA News].
*CME Credit Categories: Biomarkers/Quantitative Imaging; Informatics
*AMA PRA Category 1 Credits™: 1.5
*ARRT Category A+ Credit: 1.5
=== Teaching Faculty ===
* Sonia Pujol, Ph.D., Surgical Planning Laboratory, Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston MA.
* Katarzyna J. Macura MD, PhD., Department of Radiology and Radiological Sciences, The Johns Hopkins Medical Institutions, Baltimore, MD.
* Ron Kikinis, M.D., Surgical Planning Laboratory, Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston MA.
===Logistics ===
*Date: Tuesday December 2, 8:30-10 am
*Location: Room S401AB, McCormick Conference Center, Chicago, IL.
*Registration: Available through the RSNA 2014 website.

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 Technological breakthroughs in medical imaging hardware and the emergence of increasingly sophisticated image processing software tools permit the visualization and display of complex anatomical structures with increasing sensitivity and specificity. This course begins with an introductory presentation of state-of-the-art, clinical examples of quantitative imaging biomarkers for diagnosis and clinical trial outcome measures. Cases from multiple imaging modalities and from multiple organ systems will be highlighted to illustrate the depth and breath of this field. Participants will then be led through a series of tutorials on the basics of viewing and processing DICOM volumes in 3D using [http://www.slicer.org 3D Slicer]. A [[media:QuantitativeImaging_SoniaPujol_RSNA2014_Dec2.pdf‎ | Quantitative Imaging tutorial ]] with pre-computed datasets will focus on basic use of 3D Slicer software, quantitative measurements from PET/CT studies, and volumetric analysis of meningioma.
 This [[RSNA_Quantitative_Imaging_Course |course]] is offered in collaboration with the Johns Hopkins Institute for Clinical and Translational Research.
-For additional training materials on the software, please visit the [http://www.slicer.org/slicerWiki/index.php/Documentation/4.3/Training 3D Slicer Compendium]. [http://www.slicer.org/slicerWiki/images/4/46/QuantitativeImaging.zip Course datasets available here]
+For additional training materials on the software, please visit the [https://www.slicer.org/wiki/Documentation/4.3/Training 3D Slicer Compendium]. [http://www.slicer.org/slicerWiki/images/4/46/QuantitativeImaging.zip Course datasets available here]
 The RSNA quantitative Imaging Course was featured in [http://rsna.org/NewsDetail.aspx?id=12002  RSNA News].

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 Technological breakthroughs in medical imaging hardware and the emergence of increasingly sophisticated image processing software tools permit the visualization and display of complex anatomical structures with increasing sensitivity and specificity. This course begins with an introductory presentation of state-of-the-art, clinical examples of quantitative imaging biomarkers for diagnosis and clinical trial outcome measures. Cases from multiple imaging modalities and from multiple organ systems will be highlighted to illustrate the depth and breath of this field. Participants will then be led through a series of tutorials on the basics of viewing and processing DICOM volumes in 3D using [http://www.slicer.org 3D Slicer]. A [[media:QuantitativeImaging_SoniaPujol_RSNA2014_Dec2.pdf‎ | Quantitative Imaging tutorial ]] with pre-computed datasets will focus on basic use of 3D Slicer software, quantitative measurements from PET/CT studies, and volumetric analysis of meningioma.
 This [[RSNA_Quantitative_Imaging_Course |course]] is offered in collaboration with the Johns Hopkins Institute for Clinical and Translational Research.
-For additional training materials on the software, please visit the [http://www.slicer.org/slicerWiki/index.php/Documentation/4.3/Training 3D Slicer Compendium]. [https://www.dropbox.com/sh/ofx4sf1enypphq1/AAAIGVbwh_4nweJSoe_euycda?dl=0 Course datasets available here]
+For additional training materials on the software, please visit the [http://www.slicer.org/slicerWiki/index.php/Documentation/4.3/Training 3D Slicer Compendium]. [http://www.slicer.org/slicerWiki/images/4/46/QuantitativeImaging.zip Course datasets available here]
 The RSNA quantitative Imaging Course was featured in [http://rsna.org/NewsDetail.aspx?id=12002  RSNA News].

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 [[image:Screen_Shot_2012-11-20_at_12.10.39_AM.png |right|300px]]
 [[Image:RSNAInterview_PujolMacura.png |right|300 px]]
-Technological breakthroughs in medical imaging hardware and the emergence of increasingly sophisticated image processing software tools permit the visualization and display of complex anatomical structures with increasing sensitivity and specificity. This course begins with an introductory presentation of state-of-the-art, clinical examples of quantitative imaging biomarkers for diagnosis and clinical trial outcome measures. Cases from multiple imaging modalities and from multiple organ systems will be highlighted to illustrate the depth and breath of this field. Participants will then be led through a series of tutorials on the basics of viewing and processing DICOM volumes in 3D using [http://www.slicer.org 3D Slicer]. A [[media:QuantitativeImaging_SoniaPujol_RSNA2014_Dec2.pdf‎ hands-on | Quantitative Imaging tutorial ]] with pre-computed datasets will focus on basic use of 3D Slicer software, quantitative measurements from PET/CT studies, and volumetric analysis of meningioma.
+Technological breakthroughs in medical imaging hardware and the emergence of increasingly sophisticated image processing software tools permit the visualization and display of complex anatomical structures with increasing sensitivity and specificity. This course begins with an introductory presentation of state-of-the-art, clinical examples of quantitative imaging biomarkers for diagnosis and clinical trial outcome measures. Cases from multiple imaging modalities and from multiple organ systems will be highlighted to illustrate the depth and breath of this field. Participants will then be led through a series of tutorials on the basics of viewing and processing DICOM volumes in 3D using [http://www.slicer.org 3D Slicer]. A [[media:QuantitativeImaging_SoniaPujol_RSNA2014_Dec2.pdf‎ | Quantitative Imaging tutorial ]] with pre-computed datasets will focus on basic use of 3D Slicer software, quantitative measurements from PET/CT studies, and volumetric analysis of meningioma.
 This [[RSNA_Quantitative_Imaging_Course |course]] is offered in collaboration with the Johns Hopkins Institute for Clinical and Translational Research.
 For additional training materials on the software, please visit the [http://www.slicer.org/slicerWiki/index.php/Documentation/4.3/Training 3D Slicer Compendium]. [https://www.dropbox.com/sh/ofx4sf1enypphq1/AAAIGVbwh_4nweJSoe_euycda?dl=0 Course datasets available here]

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 [[image:Screen_Shot_2012-11-20_at_12.10.39_AM.png |right|300px]]
 [[Image:RSNAInterview_PujolMacura.png |right|300 px]]
-Technological breakthroughs in medical imaging hardware and the emergence of increasingly sophisticated image processing software tools permit the visualization and display of complex anatomical structures with increasing sensitivity and specificity. This course begins with an introductory presentation of state-of-the-art, clinical examples of quantitative imaging biomarkers for diagnosis and clinical trial outcome measures. Cases from multiple imaging modalities and from multiple organ systems will be highlighted to illustrate the depth and breath of this field. Participants will then be led through a series of tutorials on the basics of viewing and processing DICOM volumes in 3D using [http://www.slicer.org 3D Slicer]. A hands-on Quantitative Imaging tutorial with pre-computed datasets will focus on basic use of 3D Slicer software, quantitative measurements from PET/CT studies, and volumetric analysis of meningioma.
+Technological breakthroughs in medical imaging hardware and the emergence of increasingly sophisticated image processing software tools permit the visualization and display of complex anatomical structures with increasing sensitivity and specificity. This course begins with an introductory presentation of state-of-the-art, clinical examples of quantitative imaging biomarkers for diagnosis and clinical trial outcome measures. Cases from multiple imaging modalities and from multiple organ systems will be highlighted to illustrate the depth and breath of this field. Participants will then be led through a series of tutorials on the basics of viewing and processing DICOM volumes in 3D using [http://www.slicer.org 3D Slicer]. A [[media:QuantitativeImaging_SoniaPujol_RSNA2014_Dec2.pdf‎ hands-on | Quantitative Imaging tutorial ]] with pre-computed datasets will focus on basic use of 3D Slicer software, quantitative measurements from PET/CT studies, and volumetric analysis of meningioma.
 This [[RSNA_Quantitative_Imaging_Course |course]] is offered in collaboration with the Johns Hopkins Institute for Clinical and Translational Research.
 For additional training materials on the software, please visit the [http://www.slicer.org/slicerWiki/index.php/Documentation/4.3/Training 3D Slicer Compendium]. [https://www.dropbox.com/sh/ofx4sf1enypphq1/AAAIGVbwh_4nweJSoe_euycda?dl=0 Course datasets available here]

← Older revision		Revision as of 22:53, 14 November 2014
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		+	[[Image:RSNAInterview_PujolMacura.png \|right\|300 px]]
	Technological breakthroughs in medical imaging hardware and the emergence of increasingly sophisticated image processing software tools permit the visualization and display of complex anatomical structures with increasing sensitivity and specificity. This course begins with an introductory presentation of state-of-the-art, clinical examples of quantitative imaging biomarkers for diagnosis and clinical trial outcome measures. Cases from multiple imaging modalities and from multiple organ systems will be highlighted to illustrate the depth and breath of this field. Participants will then be led through a series of tutorials on the basics of viewing and processing DICOM volumes in 3D using [http://www.slicer.org 3D Slicer]. A hands-on Quantitative Imaging tutorial with pre-computed datasets will focus on basic use of 3D Slicer software, quantitative measurements from PET/CT studies, and volumetric analysis of meningioma.		Technological breakthroughs in medical imaging hardware and the emergence of increasingly sophisticated image processing software tools permit the visualization and display of complex anatomical structures with increasing sensitivity and specificity. This course begins with an introductory presentation of state-of-the-art, clinical examples of quantitative imaging biomarkers for diagnosis and clinical trial outcome measures. Cases from multiple imaging modalities and from multiple organ systems will be highlighted to illustrate the depth and breath of this field. Participants will then be led through a series of tutorials on the basics of viewing and processing DICOM volumes in 3D using [http://www.slicer.org 3D Slicer]. A hands-on Quantitative Imaging tutorial with pre-computed datasets will focus on basic use of 3D Slicer software, quantitative measurements from PET/CT studies, and volumetric analysis of meningioma.
	This [[RSNA_Quantitative_Imaging_Course \|course]] is offered in collaboration with the Johns Hopkins Institute for Clinical and Translational Research.		This [[RSNA_Quantitative_Imaging_Course \|course]] is offered in collaboration with the Johns Hopkins Institute for Clinical and Translational Research.

← Older revision		Revision as of 22:52, 14 November 2014
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	*Location: Room S401AB, McCormick Conference Center, Chicago, IL.		*Location: Room S401AB, McCormick Conference Center, Chicago, IL.
	*Registration: Available through the RSNA 2014 website.		*Registration: Available through the RSNA 2014 website.
		+	--
		+	[[RSNA_2014 \| Back to RSNA 2014 portal]]