Noninvasive Measurement of Intracranial Pressure by MRI (MR-ICP) Overview Noam Alperin, PhD Physiologic Imaging and Modeling Lab Department of Radiology University of Illinois at Chicago
Noninvasive Measurement of Intracranial Pressure by MRI (MR-ICP)
Overview
Noam Alperin, PhD
Physiologic Imaging and Modeling Lab Department of RadiologyUniversity of Illinois at Chicago
Importance
Normal brain function requires regulation of cerebral blood flow (CBF) and intracranial pressure (ICP). In many neurological problems this regulation is disrupted.
Our lab is developing noninvasive method to quantify these important physiological parameters by MRI. The method could potentially become an important diagnostic test for over million patients annually in the US alone, who suffer from related neurological problems (e.g., strokes, intracranial hemorrhages head injuries, hydrocephalus, Chiari malformations, etc…)
ICP Measurement by MRIICP Measurement by MRI
The MRI-based method (MR-ICP) integrates knowledge from human neuro-physiology, principles of fluid dynamics, and dynamic MRI to non-invasively measure ICP. These are briefly described in the following slides.
Monitoring
Diagnostic test
Blood and CSF Flows through the Craniospinal Compartments
The pulsatile cerebral blood flow drives the cerebrospinal fluid (CSF) flow. During systole, arterial inflow exceeds venous outflow, which result in CSF outflow1. Intracranial compliance and pressure are calculated from measurements of these flows.
1. Alperin et al, Magn Reson, in Med. 1996
The Neurophysiology BasisIntracranial pressure and volume are exponentially related.
Thus, at low ICP, a small increase in volume (dV) will cause a small increase in pressure (dP).
At high ICP, the same small volume increase (dV) will cause a large increase in pressure (dP).
The ratio of dP/dV (elastance) is a linear function of ICP.
MR-ICP measures dP and dV using CSF and blood volumetric flow rate measurements.
Intracranial Pressure-Volume Curve
Elastance = dP/dV
MR-ICP is the noninvasive analogous of the bolus pressure-volume infusion test (Marmarou 1978)
Pulsatile cerebral blood flow causes a momentary increase in intracranial volume (dV) during systole
dV causes the pulse pressure (dP) dV/dP is intracranial compliance The inverse of compliance is a linear function of
mean ICP. dV and dP are measured by MR imaging of blood
and CSF flow2
The Principles of MR-ICP
2. Alperin et. al. Radiology. 2000; 217 (3); 877–885.
The systolic increase in intracranial volume (ICV) during each cardiac cycle is derived from momentary difference between volumes of blood, and CSF that entering and leaving the cranium during the cardiac cycle
How is dV Measured?
ICV
CSF out and in
Arterialblood in
Venousblood out
Phase contrast MRI scan with high velocity encoding provides velocity images from which blood flow to and from the cranium is calculated.
How is Volumetric Blood Flow Measured?
Velocity image
Blood Flow Dynamics
Volumetric Blood Flow Measurement
Int. Carotid art.
Vertebral art.
Jugular v.
Volumetric Flow = Velocity X Lumen area
3. Alperin N, Lee S. Magn. Reson. in Med. 49:934–944 (2003)
Lumen area is identified automatically using the Pulsatility Based Segmentation (PUBS) Method 3
Volumetric Arterial Inflow and Venous Outflow (in mL/min)
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time (msec)
flo
w (
mL
/min
)
a
v
Total CBF = is the cycle-averaged arterial inflow
One cardiac cycle
Cord
CSF
How is CSF Flow Measured?
Phase contrast MRI scan with low velocity encoding provides images of CSF velocities from which CSF flow to and from the cranium is calculated.
Velocity images
Systole Diastole
Cervical CSF and Epidural Venous Flow Dynamics
CSF Volumetric Flow
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time (msec)
flo
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mL
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csf
One cardiac cycle
Calculating Systolic ICV Change (∆ ICV)
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0 200 400 600 800 1000Time (msec)
Flo
w (
mL
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) Net transcranialflow
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Flo
w (
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∆ ICV waveform
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volu
me
(mL)
∆ICV= 0.5 mL
ICV
A - V – CSF
∫dt
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Time (msec)
Flo
w (m
L/m
in)
csf
a
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The MR-ICP Provides a Patient’s Specific Cranio-Spinal Flow Dynamics
● The pressure change during the cardiac cycle is derived from CSF pressure gradient (∇ p), i.e., the pressure difference that causes the CSF to flow out from and back into the cranium.4
● The Navier-Stokes equation is used to calculate CSF pressure gradients from the CSF velocities.
ρ ( dv/dt + v • ∇ v ) − µ ∇2 v = − ∇ p
inertial force viscous losses
How is dP Measured?
4 Loth FM, Yardimici MA, Alperin N. Jour. of Biomechanical Engineering. 2001, Vol. 123, pp. 71-79.
CSF Pressure Gradient Waveform
%SD ofPTPis <7%
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Time (msec)
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nt (m
mH
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Invasive ICP Recording and Corresponding MRI Derived Pressure Gradients in Humans
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Low ICP
Elevated ICP
red = viscous term
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Time (ms)
Pre
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Validation of dP Measurement
HumanBaboon
Validations were done with large nonhuman primates because fluid dynamics principles are scale-dependent.
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0.008
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0.012
0 2 4 6 8 10
PTP Pressure (mmHg))
Pre
ssu
re g
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mH
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m)
Initial Validation of MR-ICP in Humans
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4 8 12 16 20 24 28
ICP (mmHg) (EVD)
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Alperin et. al. Radiology. 2000; 217 (3); 877–885.
The MR-ICP method was validated in patients with SAH who had an EVD at the time of their MRI scan.
What is Normal MR-ICP ?
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ICP (mmHg)
# o
f m
easu
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ents
MR-ICP in Healthy Subjects (71 measurements in 23 subjects)
Mean: 9.6 mmHg ± 31%Range: 3.5 to 17.1 mmHg
ICP in 1033 Normal Human Subjects (from Merritt and Fremont-Smith 1937)
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2.00 4.00 6.00 8.00 10.00 12.00 14.00 16.00
Pressure (mmHg)
Num
ber o
f Cas
es
Invasive
Reduction to Practice
Total MRI scan time with the current technique is approximately 3 minutes.
A software tool is being developed to facilitate quantitation of the blood and CSF volumetric flow rates, from which total CBF, compliance, and ICP are determined within few minutes.
The automated lumen segmentation tool is based on the PUBS technique.3
3. Alperin N, Lee S. Magn. Reson. in Med. (2003)
• Noam Alperin, PhD• Aaron Lee, MS• Naresh Yallapragada, MS • Hasan Dhoondia, MS• Anusha Sivaramakrishnana
Collaborators:• Terry Lichtor, MD, PhD - Neurosurgery, Cook County• Roberta Glick, MD - Neurosurgery, Cook County• Francis Loth, PhD - Mechanical Eng., Uni. of Illinois
Physiologic Imaging and Modeling Lab, Dept. of RadiologyUniversity of Illinois at Chicago
RSNA 2003
Current and previous lab members who contributed to this work