RSNA 2015 - Revision history

Spujol: /* 3D Interactive Visualization of DICOM images for Radiology Applications */

2019-03-28T16:51:29Z

3D Interactive Visualization of DICOM images for Radiology Applications

Pieper at 17:54, 9 December 2015

2015-12-09T17:54:10Z

Mhalle: /* Interoperable communication of quantitative image analysis results using DICOM standard */

2015-12-07T19:10:55Z

Interoperable communication of quantitative image analysis results using DICOM standard

Fedorov: /* Interoperable communication of quantitative image analysis results using DICOM standard */

2015-12-07T15:07:36Z

Interoperable communication of quantitative image analysis results using DICOM standard

Fedorov: /* Events */

2015-12-07T14:59:50Z

Events

Spujol at 19:13, 29 November 2015

2015-11-29T19:13:48Z

Kikinis: /* Events */

2015-11-11T16:09:54Z

Events

Kikinis: /* Events */

2015-11-11T16:07:26Z

Events

Kikinis: /* Events */

2015-11-11T16:05:26Z

Events

Kikinis: /* Events */

2015-11-11T16:04:16Z

Events

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 =3D Interactive Visualization of DICOM images for Radiology Applications=
 [[image:Fig5_ChestCT_Slicer.png|right|300 px]]
-This [[RSNA_3D_Visualization_Course| course]] will be offered by the Neuroimage Analysis Center (NAC),  at the [http://rsna2015.rsna.org  101th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA 2015)]. As part of the outreach missions of this NIH funded National Center, we have developed an offering of freely available, multi-platforms open source software to enable medical image analysis research. The 3D Visualization course along with the [[Media:3DVisualization DICOM images part1.zip|3D Visualization-part1]] and [[Media:3DVisualization DICOM images part2.zip|3D Visualization-part2]]  datasets aim to introduce translational clinical scientists to the basics of viewing and interacting in 3D with DICOM volumes and anatomical models using the 3DSlicer software. The version of the software that will be used during this course is Slicer4.5.
+This [[RSNA2015_3D_Visualization_Course| course]] will be offered by the Neuroimage Analysis Center (NAC),  at the [http://rsna2015.rsna.org  101th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA 2015)]. As part of the outreach missions of this NIH funded National Center, we have developed an offering of freely available, multi-platforms open source software to enable medical image analysis research. The 3D Visualization course along with the [[Media:3DVisualization DICOM images part1.zip|3D Visualization-part1]] and [[Media:3DVisualization DICOM images part2.zip|3D Visualization-part2]]  datasets aim to introduce translational clinical scientists to the basics of viewing and interacting in 3D with DICOM volumes and anatomical models using the 3DSlicer software. The version of the software that will be used during this course is Slicer4.5.
 *CME Content Code: Informatics
 *CME Credits Categories:

← Older revision		Revision as of 17:54, 9 December 2015
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	[http://dx.doi.org/10.6084/m9.figshare.1619877 Poster PDF]		[http://dx.doi.org/10.6084/m9.figshare.1619877 Poster PDF]
		+
		+	[[File:20151130 090138-small.jpg\|right\|300 px\|Andrey Fedorov (BWH) and David Flade (Brainlab) at QIRR booth.]]

	===Teaching faculty===		===Teaching faculty===

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 ===Meet the Experts Sessions===
-Daily one-hour Meet-The-Experts sessions will be held from Tuesday to Thursday as part of the Quantitative Imaging Room exhibit. The sessions will give participants an opportunity to interact with the on-site faculty through software demonstrations and general question and answer sessions
+Daily one-hour "Meet-The-Experts" sessions will be held from Tuesday to Thursday as part of the Quantitative Imaging Room exhibit. The sessions will give participants an opportunity to interact with the on-site faculty through software demonstrations and general question and answer sessions
 * Schedule
 ** Tuesday 12:15pm - 1:15pm

← Older revision		Revision as of 15:07, 7 December 2015
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	In this exhibit we will focus on demonstration of support for communication of image segmentation results. Image segmentation is a common task in quantitative image analysis concerned with partitioning image into regions based on certain application-specific characteristic. DICOM standard defines Segmentation Information Object Definition (IOD) (DICOM SEG) as the image object representing a classification of pixels in one or more referenced images. DICOM SEG is a versatile object that maintains detailed provenance record about the imaged subject and reference imaging data, and provides unambiguous specification of the anatomy being segmented using structured terminology. DICOM SEG also facilitates communication of the information about the segmentation method and software used, as well as information about reader for segmentations performed manually. Support of DICOM SEG has now been implemented in several research and commercial tools, including tools that are free open source, represented by the groups participating in this exhibit. DICOM SEG has also been adopted as the format for communicating algorithm comparison challenges conducted by the NCI Quantitative Imaging Network (QIN), producing a growing publicly available collection of the representative analysis results segmenting publicly available cancer-related image datasets.		In this exhibit we will focus on demonstration of support for communication of image segmentation results. Image segmentation is a common task in quantitative image analysis concerned with partitioning image into regions based on certain application-specific characteristic. DICOM standard defines Segmentation Information Object Definition (IOD) (DICOM SEG) as the image object representing a classification of pixels in one or more referenced images. DICOM SEG is a versatile object that maintains detailed provenance record about the imaged subject and reference imaging data, and provides unambiguous specification of the anatomy being segmented using structured terminology. DICOM SEG also facilitates communication of the information about the segmentation method and software used, as well as information about reader for segmentations performed manually. Support of DICOM SEG has now been implemented in several research and commercial tools, including tools that are free open source, represented by the groups participating in this exhibit. DICOM SEG has also been adopted as the format for communicating algorithm comparison challenges conducted by the NCI Quantitative Imaging Network (QIN), producing a growing publicly available collection of the representative analysis results segmenting publicly available cancer-related image datasets.
		+
		+	[http://dx.doi.org/10.6084/m9.figshare.1619877 Poster PDF]

	===Teaching faculty===		===Teaching faculty===

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 '''10:30am-12:00pm:''' [http://www.na-mic.org/Wiki/index.php/RSNA_2015#3D_Interactive_Visualization_of_DICOM_images RSNA Refresher Course: ''' "3D Interactive Visualization of DICOM Images for Radiology Applications: Hands-on Workshop."]<br>Sonia Pujol, Kitt Shaffer, Ron Kikinis'''<br>Room S401CD. (Sold-out)
 ----
-'''10:30am-12:00pm:''' RSNA refresher course RCA22: '''[http://www.na-mic.org/Wiki/index.php/RSNA_2015#A_Practical_Introduction_to_Structured_Reporting_Tools_and_Resources A Practical Introduction to Structured Reporting Tools and Resources]<br>Justin Kirby, Pattanasak Mongkolwat, Daniel L. Rubin, David A. Clunie, Andriy Fedorov''',  <br> Room S401AB
+'''10:30am-12:00pm:''' RSNA refresher course RCA22: '''[http://www.na-mic.org/Wiki/index.php/RSNA_2015#A_Practical_Introduction_to_Structured_Reporting_Tools_and_Resources A Practical Introduction to Structured Reporting Tools and Resources]<br>Justin Kirby, Pattanasak Mongkolwat, Daniel L. Rubin, David A. Clunie, Andriy Fedorov''',  <br> Room S401AB <br> [http://dx.doi.org/10.6084/m9.figshare.1618826 Slides]
 ----
 '''12:15pm-1:15pm:''' [http://www.na-mic.org/Wiki/index.php/RSNA_2015#Meet_the_Experts_Sessions Meet-The-Experts Session], [http://www.na-mic.org/Wiki/index.php/RSNA_2014#Quantitative_Imaging_Reading_Room 3D Slicer Exhibit: Quantitative Imaging Reading Room.]<br>Lakeside Learning Center<br>Hall D, Exhibit QRR002.
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 |bgcolor="#ffffdd"|'''8:00am-12:45pm:''' [http://www.na-mic.org/Wiki/index.php/RSNA_2015#Quantitative_Imaging_Reading_Room 3D Slicer Exhibit: '''Quantitative Imaging Reading Room.''']<br>Lakeside Learning Center<br>Hall D, Exhibit QRR002.
 ----
-'''8:30am-10am:''' RSNA refresher course RC825B: '''Quantitative Image Analysis Tools''' <br> Room S404AB.
+'''8:30am-10am:''' RSNA refresher course RC825B: '''Quantitative Image Analysis Tools''' <br> Room S404AB.<br> [http://dx.doi.org/10.6084/m9.figshare.1618827 Slides]
 |-
 |}

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 ==Events==
-[https://calendar.google.com/calendar/embed?src=5s4ugnk036tk9nitmj960m83rk%40group.calendar.google.com&ctz=America/New_York&mode=agenda 3D Slicer related activities at RSNA -- Google Calendar]
+[https://calendar.google.com/calendar/embed?src=5s4ugnk036tk9nitmj960m83rk%40group.calendar.google.com&ctz=America/Chicago&mode=agenda 3D Slicer related activities at RSNA -- Google Calendar]
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