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HST.583 Functional Magnetic Resonance Imaging: Data Acquisition and AnalysisFall 2006
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Cerebral MR Perfusion Imaging
2006
A. G. Sorensen MD
MGH-HST Center for Biomarkers in Imaging
A. A. Martinos Center
Massachusetts General Hospital
Harvard Medical School & Massachusetts Institute of Technology
Division of Health Sciences and Technology
HST.583: Functional Magnetic Resonance Imaging: Data Acquisition and Analysis, Fall 2006 Harvard-MIT Division of Health Sciences and Technology Course Director: Dr. Randy Gollub
Why Perfusion With MRI?
• A number of neurological illnesses can be traced to abnormal blood flow–Ischemic Stroke–Cerebral Neoplasia–Many, many others, from Alzheimer’s to MS
• MRI is heavily used already• It works!
Tracer Measurement over time
Dynamic DSC Perfusion DataSeconds
MRI image removed due to copyright restrictions.See Sorensen, A. G., and P. Reimer. Cerebral MR Perfusion Imaging.Stuttgart, Germany: Thieme Medical Publishers, 2000.
DWI / PWI mismatch vs. Final Infarct
Four MRI images removed due to copyright restrictions.See Figure 2 (D, E, G, H) in Sorensen A. G., et al. Radiology 210 (1999): 519-527.
Time = BrainBetter outcomes with earlier treatmentMeta-analysis of 6 trials, 2775 patients
The ATLANTIS, ECASS, and NINDS rt-PA Study Group Investigators. "Association of outcome with early stroke treatment: pooled analysis of ATLANTIS, ECASS, and NINDS rt-PA stroke trials." Lancet 363 no. 9411 (2004): 768-774.
Courtesy Elsevier, Inc., http://www.sciencedirect.com. Used with permission.
Diffusion and Perfusion in Stroke
• DWI is now widely used• PWI is in increasing use
– No approved contrast agent– Most use some sort of timing map (e.g., time to
peak)– ASL continues its testing / development
• Desmoteplase or other innovations suggest MRI use may become more widespread
Initial core ?= DWI LesionOr maybe CT edema?
Follow-up Infarct(can be variable)
Initial PWI Lesion
The so-called ‘ischemic penumbra’ --now accepted (too widely?)
MGH / AGS
MTT ≠ Tissue at Risk
N= 90; see Schaefer et al AJNR 24 (2003): 436
• DWI is core, but PWI not penumbra when PET is used. Heiss et al Stroke 2004 35(11 Suppl 1)2671
Courtesy of Dr. Pamela Schaefer. Used with permission.
Problems (and Potential Solutions)• Monitoring Treatment?• Closing the gap between imaging and clinical outcome
– Location matters!• MTT as currently calculated may be overestimating
due to delay– Choice of AIF? (delay, dispersion)– New CBF approaches: Local AIF, circular deconvolution
• Other markers besides perfusion– Microvascular status– Vasomotion
• Imaging Time: still too much time in the scanner
Monitoring Treatment with Diffusion / Perfusion MRI
• A number of clinical trials have DWI/PWI now as endpoints
• One new treatment: hyperoxia for ischemic stroke
• Evidence that treatment with 100% oxygen at room pressure widens the therapeutic window
Example: NBO attenuates DWI abnormalities72-yr woman with right MCA stroke, treated with NBO
Baseline (13 hrs after onset)Large DWI lesionLarger MTT lesionRMCA occlusion
During NBO (after 4 hrs)DWI lesion smaller (arrows)Stable MTTStable RMCA occlusion
Post-treatment (after 24 hrs)DWI lesion growing MTT smallerStable RMCA occlusion
Singhal et al MGH
Images removed due to copyright restrictions.See figure 2 in Singhal, A. B., et al. "A Pilot Study of NormobaricOxygen Therapy in Acute Ischemic Stroke." Stroke 36 (2005): 797.
NBO: mostly
transient effects!
Images removed due to copyright restrictions.See figure 1a,c in Singhal, A. B., et al. "A Pilot Study of NormobaricOxygen Therapy in Acute Ischemic Stroke." Stroke 36 (2005): 797.
Problems (and Potential Solutions)• Monitoring Treatment?• Closing the gap between imaging and clinical outcome
– Location matters!• MTT as currently calculated may be overestimating due
to delay– Choice of AIF? (delay, dispersion)– New CBF approaches: Local AIF, circular deconvolution
• Other markers besides perfusion– Microvascular status– Vasomotion
• Imaging Time: still too much time in the scanner
• RANTTAS (Stroke 1999 30:293-298):
• ASPECTS (Lancet 2000 355:1670): r=0.56
Lesion Size Alone Correlates Moderately
Courtesy of Lippincott Williams & Wilkins. Used with permission.
Outcome measure
BI (n=150)
GOS (n=170)
NIHSS (n=131)
Mortality (n=191)
0.43 (0.28-0.58)
0.53 (0.40-0.65)
0.54 (0.41-0.68)
0.31 (0.18-0.45) 0.32 (0.16-0.49)
0.56 (0.40-0.71)
0.46 (0.29-0.64)
0.59 (0.47-0.71)
All infarcts (95% CI) Visible infarcts only (95% CI)
Figure by MIT OpenCourseWare.
Why doesn’t imaging better predict / improve outcome?
• Specificity of techniques– Not all lesions are equal
• The Real Estate factor:–Location–Location–Location
This is in part because location matters…
Day 8 NIHSS = 11Volume ~ 2 cm3
Day 8 NIHSS = 2Volume ~ 2 cm3
Men
ezes
/ A
y /
Mar
tinos
-M
GH
-HS
TAtlas-based approach markedly improves imaging-based predictions of outcome
(n=46, p<0.01)
Figure by MIT OpenCourseWare.
0
5
10
15
20
25
30
0
5
10
15
20
25
30
0 5 10 15 20 25 0 5 10 15 20 25Measured NIHSS score
Volu
me
scor
es (p
redi
ctio
ns)
Hyb
rid A
tlas s
core
s (pr
edic
tions
)
Measured NIHSS score
R=0.53 R=0.82
Problems (and Potential Solutions)• Monitoring Treatment?• Closing the gap between imaging and clinical outcome
– Location matters!• MTT as currently calculated may be overestimating
due to delay– Choice of AIF? (delay, dispersion)– New CBF approaches: Local AIF, circular deconvolution
• Other markers besides perfusion– Microvascular status– Vasomotion
• Imaging Time: still too much time in the scanner
Global versus local AIF
Lorenz / Benner / Sorensen - Martinos MGH + HST
Lorenz, C., et al. "Automated Perfusion-Weighted MRI Using Localized Arterial Input Functions.“Journal of Magnetic Resonance Imaging 24, no. 5 (2006): 1133-1139.Copyright © 2006 Wiley-Liss Inc. Reprinted with permission of John Wiley & Sons., Inc.
Global Ipsi Global Contral Local
Follow-up
Estimation of CBF vs. AIFs
Lorenz / Benner / Sorensen - Martinos MGH + HST
Estimation of CBF vs. AIFs
Lorenz, C., et al. "Automated Perfusion-Weighted MRI Using Localized Arterial Input Functions.“Journal of Magnetic Resonance Imaging 24, no. 5 (2006): 1133-1139.Copyright © 2006 Wiley-Liss Inc. Reprinted with permission of John Wiley & Sons., Inc.
Lorenz, C., et al. "Automated Perfusion-Weighted MRI Using Localized Arterial Input Functions.“Journal of Magnetic Resonance Imaging 24, no. 5 (2006): 1133-1139.Copyright © 2006 Wiley-Liss Inc. Reprinted with permission of John Wiley & Sons., Inc.
Problems (and Potential Solutions)• Monitoring Treatment? • Closing the gap between imaging and clinical outcome
– Location matters!• MTT as currently calculated may be overestimating
due to delay– Choice of AIF? (delay, dispersion)– New CBF approaches: Local AIF, circular deconvolution
• Other markers besides perfusion– Microvascular status– Vasomotion
• Imaging Time: still too much time in the scanner
MRI Measure of VasomotionShotShot--toto--shot variability of SI in MRI time series due to noise:shot variability of SI in MRI time series due to noise:
§§ NonNon--physiological (e.g., thermal, scanner)physiological (e.g., thermal, scanner)§§ Physiological (e.g., cardiac, respiratory, vasomotion)Physiological (e.g., cardiac, respiratory, vasomotion)
Time (Image #)
SI
Hz
FT
Wang / Martinos -MGH -HST
Time (Image #)
SI
Noise quantified via standard Noise quantified via standard deviation (SD) or variance deviation (SD) or variance mapsmaps
MRI Measure of Vasomotion
SD Map
No spatial distribution for non-physiological noise
®Regional differences in SD reflect physiological noiseRescaled
CSF: cardiac, respiration
Parenchyma: vasomotion
MethodsSubjects: 32 acute stroke patientsSubjects: 32 acute stroke patientsMRI (1.5 T):MRI (1.5 T): •• Acute Perfusion: <12 h, TR=1.5s, 1.7 mm resolutionAcute Perfusion: <12 h, TR=1.5s, 1.7 mm resolution
•• FollowFollow--up T2: >5 dup T2: >5 d
CBF and CBV maps calculated from PWICBF and CBV maps calculated from PWIPrePre--bolus PWI (~15 images) used to calculate SD mapsbolus PWI (~15 images) used to calculate SD maps
pre-bolus
Wang / Martinos -MGH -HST
SD Differences in Normal TissueSDSD--PWI differences seen in normal tissue regions PWI differences seen in normal tissue regions Normal white SD < normal gray SD (31 of 32 patients)Normal white SD < normal gray SD (31 of 32 patients)
DWI CBF CBV F/U T2
SD
SI
Image # Image #
Gray White
Wang / Martinos -MGH -HST
See: Wang, H. H., A. G. Sorensen, et al. J Magn Reson Imaging 27 no. 4 (2008): 866-71.
SD Differences in Ischemia
No clear boundary with which to draw outlinesNo clear boundary with which to draw outlines®® Applied CBF, CBV lesion outlines to SD mapsApplied CBF, CBV lesion outlines to SD maps
SD
SI
Image #
DWI CBF F/U T2
CBV
See: Wang, H. H., A. G. Sorensen, et al. J Magn Reson Imaging 27 no. 4 (2008): 866-71.
Problems (and Potential Solutions)• Monitoring Treatment? • Closing the gap between imaging and clinical outcome
– Location matters!• MTT as currently calculated may be overestimating
due to delay– Choice of AIF? (delay, dispersion)– New CBF approaches: Local AIF, circular deconvolution
• Other markers besides perfusion– Microvascular status– Vasomotion
• Imaging Time: still too much time in the scanner
A Key to Speeding Up Scans?
Photos removed due to copyright restrictions.See, for example, http://www.nmr.mgh.harvard.edu/~fhlin/reprints/abstracts/ismrm2005_96channel_array.pdf
Why Perfusion MRI In Cancer?
• Correlation of angiogenesis with tumor grade
• Perfusion measures capillary hemodynamics, which may in turn reflect angiogenesis
• Measure: CBV = cerebral blood volumeCBF = cerebral blood flow
The first in vivo images of tumor angiogenesis
American Journal of Roentgenology 1939 42:891-899
Ide AG, Baker NH, Warren, SL. Vascularization of the Brown Pearce rabbit epithelioma transplant as seen in the transparent ear chamber
Image removed due to copyright restrictions.
Tumor Perfusion MRI: Two basic types
• Dynamic Susceptibility Contrast MRI– Traditional PWI like in stroke– First pass of Gd, T2 or T2* imaging– CBV, CBF, plus others like MTT, permeability, etc.
• Dynamic Contrast Enhanced MRI– Newer– T1-based– Permeability
35 year old male with 3 years of intermittent headache and
intermittent speech difficulties
T2 FSE T1 post Gd
Dynamic Susceptibility Contrast MRI - using Gd as T2 agent
MRI image removed due to copyright restrictions.See Sorensen, A. G., and P. Reimer. Cerebral MR Perfusion Imaging.Stuttgart, Germany: Thieme Medical Publishers, 2000.
70% Oligodendroglioma, 30% Grade 3 astrocytoma
MRI image removed due to copyright restrictions.See Sorensen, A. G., and P. Reimer. Cerebral MR Perfusion Imaging.Stuttgart, Germany: Thieme Medical Publishers, 2000.
High Grade Glioma
Low Grade Glioma .
MRI image removed due to copyright restrictions.See Sorensen, A. G., and P. Reimer. Cerebral MR Perfusion Imaging.Stuttgart, Germany: Thieme Medical Publishers, 2000.
26 year old female with III/IV glioma
MRI image removed due to copyright restrictions.See Sorensen, A. G., and P. Reimer. Cerebral MR Perfusion Imaging.Stuttgart, Germany: Thieme Medical Publishers, 2000.
Pre XRT 6 weeks post XRT 5 months post XRT
rCBV and 18FDG over time
0.0
5.0
10.0
15.0
20.0
25.0
30.0
Sign
al
chan
ge
1.0
10.0Vessel Radius
(µm)
GE, Sim
SE, SimGE, Exp
SE, Exp
Another potential maker: Mean Vessel Radius SE EPI
0.2 mmol/kgGd-DTPA
FLASH (GE)Iron Oxide
Gradient Echo versus Spin Echo EPI: simultaneous acquisition approach
3.0 Tesla, TR 1.5s, TE for GE: 28, TE for SE: 105 0.2 mmol/l Gd-DTPA.
GE vs SE DSC
Pilocytic astrocytoma
4.4 : 1 tumor/white on
GE
vs 1.75 : 1tumor/white on
SE
GE CBV SE CBV
T1 p Gad Ratio Map
M Pescitides / Martinos - MGH -HST
DCE MRI
•Dynamic Contrast Enhanced MRI•Rapid imaging during small dose of Gd•T1 based, not T2•Attempts to map “permeability”•Analysis: analytic versus empiric (‘curvology’)•Popular in assessing drug therapy
Sample DCE Time Course
Sub-cutaneous fatCortexChoroid Plexus
Injection at about 1.5 times real speed
Images every ~5 seconds
Example Mapping Permeability (“Ktrans ”)
Ktrans: Day -5 Day -2 Day 1 Day 26(second baseline - note AutoAlign)
Day -2 Day 1 Day 26
Post Gd and Ktrans both show change; Ktrans will quantify
MGH-Martinos3T TimTrio
Vascular Normalization after Anti-angiogenic treatmentWinkler et al, Cancer Cell 6 no. 6 (2004): 553-563
Courtesy Elsevier, Inc., http://www.sciencedirect.com. Used with permission.
Mechanistic Insights from MRI?• Testing the “Vascular Normalization” hypothesis• Blocking VEGF should result in:
– Smaller vessels– Less permeability– Less edema– Decreased mass effect– Probably no survival benefit without combination therapy, though…
Summary
• Perfusion MRI: Active, and still going strong
• New developments to watch out for:• Vasomotion• Therapy monitoring (stroke, tumor)• Location
Special Thanks to:Ona Wu Timothy Reese Chris Wiggins Andreas PotthastThomas Benner Bill Copen Thierry Huisman Takashi YoshiuraSuzanne Komili Mette Wiegell Ruopeng Wang Megan SalhusRaymond Huang Tara Ullrich Dave Tuch Van Wedeen
and many, many more...
• Larry Wald, Anders Dale, Bruce Rosen, and many students, faculty, and staff of the HST Martinos Center
Acknowledgements