Calibration Working Group Progress visual stimulus calibration data smoothness effects on analysis Proposed tasks for competing renewal.

Slides:



Advertisements
Similar presentations
When zero is not zero: The problem of ambiguous baseline conditions in fMRI Stark & Squire (2001) By Mike Toulis November 12, 2002.
Advertisements

Perfusion-Based fMRI Thomas T. Liu Center for Functional MRI University of California San Diego May 19, 2007.
Multivendor, Multisite DCE-MRI Phantom Validation Study Edward Jackson 1, Edward Ashton 2, Jeffrey Evelhoch 3, Michael Buonocore 4, Greg Karczmar 5, Mark.
Section 1 fMRI for Newbies
IMAGE QUALITY.
Haskins fMRI Workshop Part II: Single Subject Analysis - Event & Block Designs.
Introduction to Functional and Anatomical Brain MRI Research Dr. Henk Cremers Dr. Sarah Keedy 1.
Implementation of PROPELLER MRI method for Diffusion Tensor Reconstruction A. Cheryauka 1, J. Lee 1, A. Samsonov 2, M. Defrise 3, and G. Gullberg 4 1 –
Data Acquisition Work Group Co-Chairs Paul E. Kinahan and Thomas L. Chenevert DAWG Milestone Chart Diffusion MRI Demonstration Project: Gradient.
Realigning and Unwarping MfD
Dissociating the neural processes associated with attentional demands and working memory capacity Gál Viktor Kóbor István Vidnyánszky Zoltán SE-MRKK PPKE-ITK.
Real-Time Motion Correction for High-Resolution Imaging of the Larynx: Implementation and Initial Results Presentation: 2pm # 5036 Electrical.
Psy 8960, Fall ‘06 Fieldmaps1 Fieldmaps and distortion What is a fieldmap? How can we predict distortion? How can we correct distortion?
Archiving Experiments Based on Radiological Images Fred Prior, Ph.D. Mallinckrodt Institute of Radiology Washington University School of Medicine.
tomos = slice, graphein = to write
Haskins fMRI Workshop Part I: Data Acquisition & Preprocessing.
Efficiency – practical Get better fMRI results Dummy-in-chief Joel Winston Design matrix and.
Evaluation of a Scanned Laser Display as an Alternative Low Vision Computer Interface Conor Kleweno, Eric Seibel, Ph.D., Kyle Kloeckner, Bob Burstein,
Controlling for Scanner-to- Scanner Variance in Multicenter FMRI Studies: Covariation with Signal-to-Fluctuation Noise Ratio (SFNR) Lee Friedman, Ph.D.
Magnetic Resonance Electrical Impedance Mammography (MREIM) A new approach to breast cancer imaging Maria Kallergi, 1 John J. Heine, 2 and Ernest Wollin.
Stimulus Presentation and Image Acquisition Valentina Petre.
EE 7700 High Dynamic Range Imaging. Bahadir K. Gunturk2 References Slides and papers by Debevec, Ward, Pattaniak, Nayar, Durand, et al…
Morphometry BIRN Bruce Rosen, M.D. Ph.D.. Scientific Goal Methods –Multi-site MRI calibration, acquisition –Integrate advanced image analysis and visualization.
Ongoing BIRN-GCRC Collaborations Medical College Wisconsin (non BIRN site) –Functional MRI acquisition calibration University of Texas (non BIRN site)
Contrast Mechanism and Pulse Sequences Allen W. Song Brain Imaging and Analysis Center Duke University.
Reproducibility of Functional MRI – Progress Towards Profile Development Use Case: fMRI as a biomarker of functionally eloquent brain cortex for guiding.
Signal and noise. Tiny signals in lots of noise RestPressing hands Absolute difference % signal difference.
Mitglied der Helmholtz-Gemeinschaft EPIK for TRIMAGE Seong Dae Yun 1 and N. Jon Shah 1,2 1 Institute of Neuroscience and Medicine 4 Forschungszentrum Jülich.
Microarray - Leukemia vs. normal GeneChip System.
2004 All Hands Meeting Morphometry BIRN: Milestones for 2005 Jorge Jovicich PhD Steve Pieper, PhD David Kennedy, PhD.
Current work at UCL & KCL. Project aim: find the network of regions associated with pleasant and unpleasant stimuli and use this information to classify.
Introduction Magnetic resonance (MR) imaging is recognised as offering potential benefits in the delineation of target volumes for radiotherapy (RT). For.
MRI image validation using MRI simulation Emily Koch CIS II April 10, 2001.
Scanner Validation via the SNM Clinical Trials Network Phantom Program Paul E. Christian Molecular Imaging Program Huntsman Cancer Institute University.
You had it coming... Precursors of Performance Errors Tom Eichele, MD PhD Department of Biological and Medical Psychology University of Bergen Source:
Perfusion MRI in GSK Study
TipiX Rapid Visualization of Large Datasets Adrian V. Dalca, Ramesh Sridharan, Natalia Rost, Polina Golland 1.
Contrast Mechanism and Pulse Sequences
Multimodal Neuroimaging Training Program
T.T. Liu, fBIRN AHM 2006 Arterial Spin Labeling Update fBIRN AHM, Oct 2006.
1 W. Rooney May 20, 2004 Imaging the Awake Animal MRI Efforts Overview.
BOLD Calibration: Arterial Spin Labeling (ASL) Measurement of CBF.
T.T. Liu, fBIRN AHM 2006 Status of Arterial Spin Labeling for the fBIRN Thomas T. Liu UCSD Center for Functional MRI.
DECREASED FLICKER SENSITIVITY WITH A SCANNED LASER DISPLAY. J.P. Kelly 1, H.L. Pryor, E.S. Viirre, T. Furness III. 1 Children's Hospital & Medical Center;
Image Reconstruction using Dynamic EPI Phase Correction Magnetic resonance imaging (MRI) studies using echo planar imaging (EPI) employ data acquisition.
All Hands Meeting 2005 FBIRN AHM 2006 Statistics Working Group Update Greg Brown, UCSD Hal Stern, UCI.
Moriah Thomason Lara Foland ‘n Me Radiological Sciences Laboratory Center for Advanced MR Technology* Stanford University School of Medicine Department.
CS TC 22 CT Basics CT Principle Preprocessing. 2 CT Basics CT principle preprocessing CS TC 22 Blockdiagram image processor.
2004 FBIRN Meeting FIRST BIRN: Challenges of Collaborative Multi- site, Multi-discipline Research Steven Potkin, MD Gary Glover, PhD Gregory McCarthy,
NA-MIC National Alliance for Medical Image Computing fMRI Data Analysis in Slicer (short dataset tutorial) Steve Pieper Haiying Liu Wendy.
Correction of bias field artifact in T1w MR images of the thigh and calf muscles Correction de contraste d’images IRM Projet A.
Quality Assurance.
Calibration WG Projects published QA Analysis Friedman L; Glover GH. Report on a multicenter fMRI quality assurance protocol. JMRI 23: (2006). Smoothness.
Joint Estimation of Activity Signal and HRF in fMRI using Fused LASSO Priya Aggarwal 1, Anubha Gupta 1, and Ajay Garg 2 1 SBILab, Department of Electronics.
Arterial spin labeling
MRI: Contrast Mechanisms and Pulse Sequences
1 st level analysis: Design matrix, contrasts, and inference Stephane De Brito & Fiona McNabe.
Calibration WG Overall goals: 2.Develop and implement means for reducing intersite variations in fMRI sensitivity - Procedures on web site - Paper in press:
A FMRI Episodic Memory Study A longitudinal protocol in 31 patients presenting with early memory complain F. Gelbert C. Belin, A.M. Ergis, C. Moroni, C.
Function BIRN The ability to find a subject who may have participated in multiple experiments and had multiple assessments done is a critical component.
SL/BI 16/05/1999DIPAC’99 -- JJ Gras -- CERN SL/BI -- Adaptive Optics for the LEP 2 SR Monitors G. Burtin, R.J. Colchester, G. Ferioli, J.J. Gras, R. Jung,
The general linear model and Statistical Parametric Mapping II: GLM for fMRI Alexa Morcom and Stefan Kiebel, Rik Henson, Andrew Holmes & J-B Poline.
Robert W. McCarley, Presenter Cindy Wible, Marek Kubicki ( generated fMRI data), and Dean Salisbury (generated ERP data) Harvard, VA Boston Healthcare.
MR RL High Resolution Retinotopy with BOSS fMRI Peder Larson & Michael Lustig March 2005 Collaborator: Junjie Liu Powered by.
FMRI data acquisition.
Uncontrolled Modulation Imaging
Microarray - Leukemia vs. normal GeneChip System.
Creating and Sustaining Selected and Intensive Levels of Support
Single Photon Emission Tomography
SEMINAR ON SCREENLESS DISPLAY By, VINEESH.A.
Presentation transcript:

Calibration Working Group Progress visual stimulus calibration data smoothness effects on analysis Proposed tasks for competing renewal

fBIRN Visual Stimulus How uniform is stimulus luminance across sites? Does luminance matter to SM or other tasks?

fBIRN Visual Stimulus Developed brightness/solid angle measurement technique - commercial photometer (Sekonic) for each site - develop Eprime script (Lee Friedman) with 1. graduated scale of 5 flat-field intensities from 0 to 100% 2. solid angle measurement grid - protocol for usage All sites made measurements

fBIRN Visual Stimulus Raw dataBrightness

fBIRN Visual Stimulus Results: Two sites deemed too bright Remediation: Adjust projector settings Neutral density filters Does luminance matter? Stanford and NM performed SM scans with different intensities

SM task, visual only. 1.5T TE/TR/FA 40/1000/70 14 slices 4.0/0.5mm 22 cm FOV, 20s/off/on, 200 s scan (200 frames) Stanford, 7/20/04 Cal. Lux

fBIRN Visual Stimulus

Conclusions of luminance studies fMRI studies demonstrated only small influence of luminance on activation in visual cortex in SM task Intersite differences in visual presentation systems reduced to avoid psychophysical discomfort

Effects of Image Smoothness Does image smoothness vary between sites? Does smoothness effect fMRI sensitivity? Can we correct for site differences in smoothness?

Novel Tones – Effect Size Maps UNSMOOTHED SMOOTHED HARVMINNIOWANMEX Slide provided by Lee Friedman, Ph.D.

CWG Renewal Aim 1: Develop functional phantom for objective calibration Obtain smoothness measurements to normalize reconstruction apodization Refine phantom in collaboration with vendor Acquire sensitivity data for each site with phantom and volunteers to validate use of phantom Develop calibration method

Aim 1: Develop functional phantom for objective calibration Uses MRI Devices “SmartPhantom” Prelim results for grant: MRI-D brought phantom to Stanford for evaluation Glover and Friedman made measurements Conclusions: concept should work for fBIRN more development needed on phantom fBIRN will obtain 3 systems that will span 1.5T-4T Aim 1

“SmartPhantom” - based on B1 modulation using tuned circuit - 4 bit control of contrast 4-step block trial timeseries (40 s on/off blocks)

CWG Renewal Aim 2: Study use of HRF for calibration Optimize HRF task design using SM and WM tasks Examine subject-specific HRFs Develop calibration method

Aim 2 FHRF method: linear Second order

Aim 2: HRF Method Activation maps: Canonical HRF Second order HRF First order HRF

CWG Renewal Aim 3: Develop perfusion methods select technique, develop sequences for platforms optimize acquisition parameters measure baseline rCBF in 10 controls and pts. implement in fBIRN

Aim 3: ASL Methods QUIPSS IIModeling of HRF

CWG Renewal Aim 4: Develop BH calibration for longitudinal studies implement BH, including respiratory/cardiac monitoring acquire longitudinal scan data using SM and BH implement in fBIRN

Aim 4: BH Methods Influence of BH performance on activation Calibration of BH to measure HRF using measured respiration waveform