Perfusion fMRI Brain Function and fMRI Course May 16, 2004 Thomas Liu Center for Functional MRI University of California, San Diego.

Slides:



Advertisements
Similar presentations
In Chan Song, Ph.D. Seoul National University Hospital
Advertisements

Richard Wise FMRI Director +44(0)
Miguel Lourenço Rodrigues Master’s thesis in Biomedical Engineering December
Declaration of Conflict of Interest or Relationship
Fund BioImag : MRI contrast mechanisms 1.What is the mechanism of T 2 * weighted MRI ? BOLD fMRI 2.How are spin echoes generated ? 3.What are.
Perfusion-Based fMRI Thomas T. Liu Center for Functional MRI University of California San Diego May 19, 2007.
By: Tracy Ssali Medical Biophysics 3970z April 4 th 2012 Supervisors: Keith St. Lawrence, PhD Udunna Anazodo, PhD candidate.
Parameters and Trade-offs
Rapid Self-Paced Event- Related Functional MRI: Feasibility and Implications of Stimulus- versus Response- Locked Timing Maccotta, Zacks & Buckner, 2001.
fMRI introduction Michael Firbank
FMRI: Biological Basis and Experiment Design Lecture 15: CBF and Localization II CBF techniques Big veins and big voxels 1 light year = 5,913,000,000,000.
Functional MRI Daniel Bulte Centre for Functional Magnetic Resonance Imaging of the Brain University of Oxford.
Steady-state free precession and other 3D methods for high-resolution FMRI Steady-state free precession and other 3D methods for high-resolution FMRI Karla.
A Signal Processing Model for Arterial Spin Labeling Perfusion fMRI Thomas Liu and Eric Wong Center for Functional Magnetic Resonance Imaging University.
FMRI: Biological Basis and Experiment Design Lecture 14: Localization I Spin echo BOLD Experiment design 1 light year = 5,913,000,000,000 miles?
BOLD fMRI Cheryl Olman 4th year student Department of Neuroscience and
Basics of Magnetic Resonance Imaging
Arterial Spin Labeling at 7T - Double Edged Sword
Perfusion Imaging S. Lalith Talagala, Ph. D
Perfusion Imaging Lalith Talagala, Ph. D
Measuring Blood Oxygenation in the Brain. Functional Imaging Functional Imaging must provide a spatial depiction of some process that is at least indirectly.
Tissue Contrast intrinsic factors –relative quantity of protons tissue proton density –relaxation properties of tissues T1 & T2 relaxation secondary factors.
Principles of MRI Physics and Engineering
Imaging Sequences part II
Vladislav Toronov, Ph. D. Using Physics to Image Brain Function.
Seminar October, 2008 j. brnjas-kraljević. Imaging (MRI)  tomography technique  tomography technique – the volume image is built up by images of thin.
fMRI Joe Mandeville Martinos Center for Biomedical Imaging
BOLD fMRI.
Pulse sequences.
Pulse Sequences Types of Pulse Sequences: Functional Techniques
Contrast Mechanism and Pulse Sequences Allen W. Song Brain Imaging and Analysis Center Duke University.
FINSIG'05 25/8/2005 1Eini Niskanen, Dept. of Applied Physics, University of Kuopio Principal Component Regression Approach for Functional Connectivity.
Miguel Lourenço Rodrigues Master’s thesis in Biomedical Engineering December
Contrast Mechanisms in MRI Introduction to Cardiovascular Engineering Michael Jay Schillaci, PhD Managing Director, Physicist Tuesday, September 16 th,
Global brain physiology does not impact regional BOLD activations Yufen Jennie Chen Xue Wang Todd B. Parrish 1 53rd ASNR meeting 2015, Chicago IL Poster.
Quantitative Estimation of Blood Velocity in T2* Susceptibility Contrast Imaging N.A.Thacker, M.L.J.Scott, M.Pokric, A.Jackson. University of Manchester,
Statistical Parametric Mapping
Perfusion MRI in GSK Study
BIOE 220/RAD 220 REVIEW SESSION 8 March 19, 2012.
Contrast Mechanism and Pulse Sequences
Statistical Parametric Mapping
T.T. Liu, fBIRN AHM 2006 Status of Arterial Spin Labeling for the fBIRN Thomas T. Liu UCSD Center for Functional MRI.
An Investigation of Perfusion in Stroke Survivors Kathleen Brumm 1, Thomas Liu 2, Joanna Perthen 2, Frank Haist 2, Tracy Love 1, 2, 3 1 SDSU/ UCSD Joint.
FMRI – Week 4 – Contrast Scott Huettel, Duke University MR Contrast FMRI Graduate Course (NBIO 381, PSY 362) Dr. Scott Huettel, Course Director.
BOLD-Based fMRI or “The Stuff We Do With The 4T” Part I Chris Thomas April 27, 2001.
A fMRI approach to probe CNS interaction Wei Chen, MD, MS. Modality : Animal MRI Mentor : Professor Seong-Gi Kim Kim’s Lab Faculty : Seong-Gi Kim, Tae.
fMRI Task Design Robert M. Roth, Ph.D.
BMI2 SS08 – Class 7 “functional MRI” Slide 1 Biomedical Imaging 2 Class 7 – Functional Magnetic Resonance Imaging (fMRI) Diffusion-Weighted Imaging (DWI)
Abstract  Arterial Spin Labeling (ASL) is a noninvasive method for quantifying Cerebral Blood Flow (CBF).  The most common approach is to alternate between.
Arterial spin labeling
Statistical Parametric Mapping Lecture 2 - Chapter 8 Quantitative Measurements Using fMRI BOLD, CBF, CMRO 2 Textbook: Functional MRI an introduction to.
MRI: Contrast Mechanisms and Pulse Sequences
The linear systems model of fMRI: Strengths and Weaknesses Stephen Engel UCLA Dept. of Psychology.
Principles of MRI Physics and Engineering Allen W. Song Brain Imaging and Analysis Center Duke University.
Biomarkers from Dynamic Images – Approaches and Challenges
Parameters which can be “optimized” Functional Contrast Image signal to noise Hemodynamic Specificity Image quality (warping, dropout) Speed Resolution.
BOLD functional MRI Magnetic properties of oxyhemoglobin and deoxyhemoglobin L. Pauling and C. Coryell, PNAS USA 22: (1936) BOLD effects in vivo.
Latest Developments in fMRI Peter A. Bandettini, Ph.D Unit on Functional Imaging Methods & 3T Neuroimaging Core Facility Laboratory of Brain and Cognition.
Peter A. Bandettini, Ph.D. Section on Functional Imaging Methods Laboratory of Brain and Cognition & Functional MRI Facility
Comparison of cortical perfusion between relapse-remitting multiple sclerosis patients and healthy controls measured using Arterial Spin Labelling MRI.
Non-linear Realignment Using Minimum Deformation Averaging for Single-subject fMRI at Ultra-high Field Saskia Bollmann1, Steffen Bollmann1, Alexander.
MRI Physics in a Nutshell Christian Schwarzbauer
Slicer fMRI introduction
Magnetic Resonance Imaging: Physical Principles
Perfusion-Based fMRI Thomas T
Signal fluctuations in 2D and 3D fMRI at 7 Tesla
Event Related Perfusion fMRI
Signal and Noise in fMRI
Presentation transcript:

Perfusion fMRI Brain Function and fMRI Course May 16, 2004 Thomas Liu Center for Functional MRI University of California, San Diego

Outline Cerebral Blood Flow (CBF) Arterial Spin Labeling (ASL) Techniques Data Processing Applications of ASL

Cerebral Blood Flow (CBF) CBF = Perfusion = Rate of delivery of arterial blood to a capillary bed in tissue. Units: (ml of Blood) (100 grams of tissue)(minute) Typical value is 60 ml/(100g-min) or 60 ml/(100 ml-min) = 0.01 s -1, assuming average density of brain equals 1 gm/ml

Courtesy Courtesy of Rick Buxton

Time High CBF Low CBF

Why measure CBF? From C. Iadecola 2004 CBF is fundamental physiological quantity. Closely related to brain function.

Hemodynamics depends on baseline CBF From Cohen et al, JCBFM 2002 Caffeine Response

Arterial Spin Labeling Magnetically tag inflowing arterial blood Wait for tagged blood to flow into imaging slice Acquire image of tissue+tagged blood Apply control pulse that doesn’t tag blood Acquire control image of tissue Control image-tag image = blood image

Methods for Tagging Arterial Blood Spatially Selective ASL (SS-ASL) methods tag arterial blood in a region that is proximal to the imaging region of interest. Continuous ASL (CASL) -- continuously tags blood as it passes through a thin tagging plane Pulsed ASL (PASL) -- tags blood in a large slab proximal to imaging slice. Velocity Selective ASL (VS-ASL) tags arterial blood based on its velocity, and takes advantage of the fact that blood decelerates as it enters the capillaries and accelerates as it enters the veins.

Arterial Spin Labeling (ASL) Tag by Magnetic Inversion Wait Acquire image Control Wait Acquire image 1: 2: Control - Tag  CBF Courtesy of Wen-Ming Luh

Arterial Spin Labeling (ASL) water protons as freely diffusible tracers imaging slice alternative inversion Mz(blood) MM control tag t Courtesy of Wen-Ming Luh

tagging region ~ 10 cm Tag duration ~ 15 ms Pulsed ASL tagging plane Tag duration ~ 2000 ms Continuous ASL Adapted from Wen-Ming Luh

Continuous ASL Imaging Plane Tag Conventional Control Amplitude Modulated Control Inversion Planes B0B0 Blood Magnetization

imaging slice presaturation slice tag control off-resonance IR pulse EPISTARPICOREFAIR Conventional Pulsed ASL Courtesy of Wen-Ming Luh

Multislice CASL and PICORE CASL PICORE QUIPSS II

CASL vs. PASL Inherent SNR for CASL is higher, but SNR/time is roughly the same. Temporal resolution for PASL slightly better (2 s TR vs. 3 s TR). PASL amenable to use of a presaturation pulse for simultaneous CBF/BOLD. CASL may be better for lower slices when using a head coil for transmit. Both have non-quantitative variants that are useful for mapping. CASL has higher SAR requirements.

ASL Signal Equation ∆M= CBF · A eff A eff is the effective area of the arterial bolus. It depends on both physiology and pulse sequence parameters. Goal: Make A eff a well-controlled parameter that is robust to assumptions about physiological parameters.

Major Sources of Error for ASL Transit Delays Bolus Width in PASL Relaxation Effects - different relaxation rates for blood and tissue, time of exchange. Intravascular signal -- blood destined to perfuse more distal slices.

Transit Delays ~ 1 cm ∆t < 700ms ~ 3 cm ∆t < 1000ms CASL PASL

Controlling for Transit Delays in CASL A B Tagging Plane Voxels A and B have the same CBF, but voxel B will appear to have lower CBF if the measurement is made too early. time

Arterial Bolus Width PASL CASL Baseline Global flow increase Baseline Global flow increase Temporal Width of bolus determined by the pulse sequence Temporal Width of bolus determined by arterial velocity and size of tagging slab. Underestimates global flow changes. time

Defining Bolus Width in PASL (QUIPSS II) Tag the spins Saturate spins still in the slab TI 1 Bolus temporal width = TI 1

Controlling for Transit Delays in PASL A B Tagging Slab TI 1 TI 2 > ∆t + TI 1

Velocity Selective ASL Velocity selective radio-frequency pulse trains were introduced by Norris and Schwarzbauer in Velocity Selective ASL (VS-ASL) uses a velocity selective pulse train to tag blood that is flowing faster than a desired cut-off velocity (Wong et al. 2002). A typical cut-off velocity is 1 cm/s which corresponds to arterioles of about 50 µm. Greatly reduces the problem of transit delays.

Velocity Distribution Velocity (cm/s)

Ideal Velocity Selective ASL Velocity (cm/s) MzMz 1 0 Tag Control Physiological Motion Image {

Spatial Localization VENC of 0.5-2cm/s dephases spins in 20-50um arterioles

Initial Implementation (2002) SPIRAL READOUT 90 x 180 y -90 x MzMz 1 0 Velocity Tag Time Plug flow Laminar flow

Results - Tag Time Dependence Tag Time (ms): Non Quantitative

Results - VENC Dependence VENC (cm/s): Approximate Vessel Size (um):

Results - Multislice VS-ASL Non Quantitative

Future Development of VS-ASL Better velocity selective pulses should improve motion insensitivity and quantitation of CBF (Wong, ISMRM, 2003) Velocity Profile of Initial Implementation Velocity Profile of Hyperecho based sequencewith adiabatic pulses Investigation of directional dependence (see Abstract 719) Suppression of flow in CSF (See Abstract 711)

ASL Data Processing CBF = Control - Tag A CBF time series is formed from a running subtraction of Control and Tag images. BOLD weighting of CBF signal can be minimized with short echo time acquisitions (e.g. spiral or partial Fourier) or spin-echo acquisitions. Use of subtraction makes CBF signal insensitive to low-frequency drifts.

Pairwise subtraction example Control Tag +1+1

Surround subtraction Control Tag Control Tag Control Tag Control +1/2 Perfusion Time Series T A = 1 to 4 seconds +1/2-1/2 1

ASL Data Processing BOLD = average of Control + Tag images BOLD time series is formed from the running average of Control and Tag images. If a presaturation pulse is used, flow weighting of BOLD signal is minimized. See Abstract 368 for a general model.

PERFUSION UNREGISTERED BOLD UNREGISTERED BOLD REGISTERED Simultaneous Flow and BOLD

Simultaneous Flow and BOLD with PASL Anatomy Flow change BOLD change

Event-related Perfusion fMRI Stimulus Periodic Random T A = 2 to 4 s ASL Measurement T S = 1 second Control Tag Goal: Estimate the Hemodynamic Response

Event-related ASL ASL time series = tag time series interleaved with control time series Tag and control time series are analyzed separately. Tag and control time series are acquired at a reduced sampling rate, i.e. they are downsampled. Can analyze with a general linear model (GLM) with downsampling matrices to reflect the fact that tag and control are interleaved.

GLM for ASL Experiments y tag = D tag Xh tag + Sb tag + n y con = D con Xh con + Sb con + n h perf = h con - h tag ^^^ h BOLD = h con + h tag ^^^ Downsampling Matrices Estimates

Results Direct Running Subtraction

PeriodicRandom Control Tag Ideal Direct Estimate Running Subtraction Estimate Motion Sensitivity

Non-quantitative ASL ASL signal reflects delivery of blood to capillary beds, so it is more localized than BOLD. Quantitative ASL has lower temporal resolution and lower CNR when compared to BOLD. If quantitation of CBF is not necessary, then non- quantitative ASL can be used achieve better temporal resolution and higher CNR. Techniques: Turbo-ASL Close-tag CASL SSPL

Turbo ASL Tag Control Tag Image Control Image Tag Control Control Image Tag Image Control Image TI TR ~ 2s TR ~ 1s Conventional ASL, TR > TI Turbo ASL, TR < TI

Finger Tapping Turbo PICORE

Finger Tapping Turbo PICORE |r|>0.3 (twice as many points) PICORE |r|>0.42 (same significance) PICORE |r|>0.36 (same # of pixels)

Amplifying Transit Delays Effects in CASL Tagging Plane time Baseline Signal Activation Signal Baseline Signal Activation Signal Acquiring the signal at an earlier TI amplifies the difference between the activated state and the baseline state.

Close Tag CASL CASL with tagging plane 1cm from imaging slice Control is CASL tag on opposite side of slice Tag duration 700ms Delay to image 200ms TR 1000ms Single shot spiral acquisition 3.75mm in plane 8mm slice ROI chosen by cc>0.4 for ASL Single pixel ROI average

Close Tag CASL Subject 1 Subject 2 Subject 3 Anatomy CASL BOLD

Single Shot Perfusion Labeling (SSPL) From JA Duyn et al, MRM 2001

Single Shot Perfusion Labeling (SSPL) From JA Duyn et al, MRM 2001

ASL Applications Quantitative ASL Reliable measurement of CBF across subjects, brain regions, experimental conditions, disease states, and time. Simultaneous CBF/BOLD measurements to study the physiology of the fMRI response. Non-Quantitative ASL Mapping regions of activation with better localization to the sites of neural activity.

Courtesy of Kamil Uludag BOLD CBF PICORE QUIPSS II CBF and BOLD with Eyes Open/Closed CLOSED OPEN

ASL with very low task frequencies - WANG et al., MRM 2003

ASL Mapping of Cortical Columns in Cat Visual Cortex Duong et al, PNAS, FAIR sequence, TI = 1500 ms, TR 3000 ms Talagala et al. Abstract 717

Memory Encoding Novel Images Familiar Images PICORE QUIPSS II ROI in Right Posterior Hippocampus BOLD Stroop Task Perfusion Mildner et al Abstract 1012

Whole Brain fMRI ASL Duhamel and Alsop Abstract 518 Motor Task

Overview of BOLD Mechanisms Neuronal Activity CBF (t) Balloon Model CBV (t) BOLD (t) O 2 Limitation Model Kinetic Model MRI Signal Model CMRO 2 (t) HbO 2 (t)

Post-Stimulus Undershoot Finger tapping (6 subjects) Balloon Model

Conclusions ASL provides a non-invasive means of measuring CBF. Transit Delays must be addressed properly in order to obtain quantitative CBF with CASL and PASL. Velocity Selective ASL is a promising technique for dealing with long transit delays, e.g. in stroke. Non-quantitative ASL techniques such as Turbo- ASL and Close tag CASL have good temporal resolution and high CNR. They have the potential to provide better spatial mapping than BOLD.

Acknowledgements Eric Wong Rick Buxton Wen-Ming Luh Kamil Uludag