CARMA Inhomogeneity Correction Filter - PowerPoint Presentation

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Uploaded On 2016-05-13

CARMA Inhomogeneity Correction Filter - PPT Presentation

extension loading correction module loading extension module correction inhomogeneity image reserved rights 2012 data slicer select menu carma load

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Slide1

CARMA Inhomogeneity Correction Filter

Alan Morris, Eugene Kholmovski, Josh Cates, Rob MacLeod SCI Institute/CARMA CenterUniversity of Utah

Learning Objective

All Rights ReservedSlide3

Current WorkflowOriginal (uncorrected) ImageBlood Pool Mask

Corrected ImageSlide4

Slicer

: Release 4.1http://www.slicer.org/pages/Downloads/Data: CARMA Slicer Extension Tutorial Datahttp://hdl.handle.net/1926/1765

Required Materials

2012,

All Rights ReservedSlide5

Additional Sample Data

60 patientshttp://hdl.handle.net/1926/1757Slide6

Pre-requisite Tutorial

http://www.slicer.org/slicerWiki/index.php/Documentation/4.0/TrainingSlide7

Platforms

DevelopedTestedSlide8

Overview

Load the moduleLoad the dataset

Inhomogeneity CorrectionSlide9

Loading the ModuleSelect View>Extension Manager in the menu bar (or push ⌘4)If the Extension Manager isn’t revealed, see the next 2 slides; otherwise, skip themSlide10

Loading the ModuleTo load the Extension Manager, Select Edit>Application Settings in the menu bar (or push ⌘2)Slide11

Loading the ModuleUnder the Extension menu, make sure ‘Enable extension manager’ is checkedSlide12

Loading the ModuleSelect CARMA in the sidebar and click the extensionsSlide13

Loading the ModuleRestart to install the extensionSlide14

Loading the DataSelect ‘Choose Directory to Add’ in the pop-up menuSlide15

Loading the DataSelect the directory containing your datasetSlide16

Loading the DataSlide17

Inhomogeneity CorrectionInput volumes{

Output volumeA black image the same size as the input image was used as the ROI in this exampleThe input image and blood pool mask have been cropped in this example.Slide18

Inhomogeneity CorrectionApply the filterSlide19

Inhomogeneity CorrectionViewer automatically updates to show the resulting corrected outputSlide20

ConclusionThis module can be used for local inhomogeneity correction in cardiac MRI image volumes.