MRI MEASUREMENTS OF CRANIOSPINAL AND INTRACRANIAL VOLUME CHANGE IN HEALTHY AND HEAD TRAUMA CASES

Similar documents
A NONINVASIVE METHOD FOR CHARACTERIZING VENTRICULAR DIASTOLIC FILLING DYNAMICS

From Cerebrospinal Fluid Pulsation to Noninvasive Intracranial Compliance and Pressure Measured by MRI Flow Studies

SYNCHRONIZED MEASUREMENTS OF MAXIMUM BLOOD FLOW VELOCITIES IN CAROTID, BRACHIAL AND FEMORAL ARTERIES, AND ECG IN HUMAN POSTURE CHANGES

THERMAL RHYTHMOGRAPHY - TOPOGRAMS OF THE SPECTRAL ANALYSIS OF FLUCTUATIONS IN SKIN TEMPERATURE

DETERMINATION OF MEAN TEMPERATURES OF NORMAL WHOLE BREAST AND BREAST QUADRANTS BY INFRARED IMAGING AND IMAGE ANALYSIS

ANALYSIS OF PHOTOPLETHYSMOGRAPHIC SIGNALS OF CARDIOVASCULAR PATIENTS

AN INSTRUMENT FOR THE BEDSIDE QUANTIFICATION OF SPASTICITY: A PILOT STUDY

PHASE RESPONSE OF MODEL SINOATRIAL NODE CELLS - AN INVESTIGATION OF THE INFLUENCE OF STIMULUS PARAMETERS

A new algorithm applied to the analysis of the electrocardiogram of an isolated rat heart. Mostefa Ghassoul MIEEE

Estimation of arterial pulse wave velocity with a new improved Tissue Doppler method

INCLUSION OF ECG AND EEG ANALYSIS IN NEURAL NETWORK MODELS

INFLUENCE OF GENDER, TRAINING AND CIRCADIAN TIME OF TESTING IN THE CARDIOVASCULAR RESPONSE TO STRESS TESTS

SITES OF FAILURE IN MUSCLE FATIGUE

Feature Parameter Optimization for Seizure Detection/Prediction

Suzuka medical university of Science and technology, 2 Ehime University medical department,

EFFECTS OF MECHANICAL PUMPING ON THE ARTERIAL PULSE WAVE VELOCITY : PERIPHERAL ARTERY AND MICRO-VESSELS

Proceedings 23rd Annual Conference IEEE/EMBS Oct.25-28, 2001, Istanbul, TURKEY

A MODEL OF GAP JUNCTION CONDUCTANCE AND VENTRICULAR TACHYARRHYTHMIA

FACTORS ASSOCIATED WITH THE PREDICTION OF ATTENDANCE TO THE UK BREAST SCREENING PROGRAMME

CONFOCAL MICROWAVE IMAGING FOR BREAST TUMOR DETECTION: A STUDY OF RESOLUTION AND DETECTION ABILITY

TEMPERATURE DISTRIBUTION PATTERN IN NORMAL AND CANCER TISSUES: THE EFFECT OF ELECTROMAGNETIC WAVE

EYE POSITION FEEDBACK IN A MODEL OF THE VESTIBULO-OCULAR REFLEX FOR SPINO-CEREBELLAR ATAXIA 6

FEASIBILITY OF EMG-BASED CONTROL OF SHOULDER MUSCLE FNS VIA ARTIFICIAL NEURAL NETWORK

AUTOCORRELATION AND CROSS-CORRELARION ANALYSES OF ALPHA WAVES IN RELATION TO SUBJECTIVE PREFERENCE OF A FLICKERING LIGHT

Key personnel: Principal investigator: Francis Loth, Ph.D., Department of Mechanical Engineering, University of Akron, Akron, OH

ASSISTANCE TO SURGERY BY MEANS OF INFRARED FUNCTIONAL IMAGING: PRELIMINARY RESULTS

AN ANALYTICAL MODEL OF A SPINAL ROOT STIMULATED NEUROMUSCULAR SYSTEM

VASCULAR ADAPTATIONS TO TRANSVERSE AORTIC BANDING IN MICE

DYNAMIC SEGMENTATION OF BREAST TISSUE IN DIGITIZED MAMMOGRAMS

The influence of breathing on cerebrospinal fluid movement in the brain

I. INTRODUCTION. environment of cell and tissues [2].

Medical University of Gdansk, Gdansk, Poland

A MULTI-STAGE NEURAL NETWORK CLASSIFIER FOR ECG EVENTS

EFFECT OF ROBOT-ASSISTED AND UNASSISTED EXERCISE ON FUNCTIONAL REACHING IN CHRONIC HEMIPARESIS

COMPARISON OF LINEAR AND NON-LINEAR ANALYSIS OF HEART RATE VARIABILITY IN SEDATED CARDIAC SURGERY PATIENTS

The Monro-Kellie hypothesis states that the sum of the

Juan Carlos Tejero-Calado 1, Janet C. Rutledge 2, and Peggy B. Nelson 3

A MODEL OF CEREBRAL BLOOD FLOW DURING SUSTAINED ACCELERATION. S. Cirovic 1 C. Walsh 2 W. D. Fraser 3

FURTHER STUDY OF SPECTRUM FROM STOMACH CANCER SERUM EMISSION

Measurements of Intracranial Pressure and Compliance Index Using 1.5-T Clinical MRI Machine

A RECOGNITION OF ECG ARRHYTHMIAS USING ARTIFICIAL NEURAL NETWORKS

Automated Detection of Epileptic Seizures in the EEG

Real-time Seizure Detection System using Multiple Single-Neuron Recordings

Neuro Quiz 29 Transcranial Doppler Monitoring

Influence of Inter-electrode Distance on EMG

COMPRESSION OF VIDEO-OTOSCOPE IMAGES FOR TELE-OTOLOGY: A PILOT STUDY

Page 1 of 4 I. INTRODUCTION

PROGNOSTIC VALUE OF HISTOLOGY AND LYMPH NODE STATUS IN BILHARZIASIS-BLADDER CANCER: OUTCOME PREDICTION USING NEURAL NETWORKS

A STATE-OBSERVER FOR PATIENT STATUS IN CARDIAC SURGERY

NON-INVASIVE MEASUREMENT OF DIAPHRAGMATIC CONTRACTION TIMING IN DOGS

The Effect of Craniotomy on the Intracranial Hemodynamics and Cerebrospinal Fluid Dynamics in Humans

Report Documentation Page

HEART RATE VARIABILITY MEASUREMENTS DURING EXERCISE TEST MAY IMPROVE THE DIAGNOSIS OF ISCHEMIC HEART DISEASE

Mechanisms of Headache in Intracranial Hypotension

A GENETIC APPROACH TO SELECTING THE OPTIMAL FEATURE FOR EPILEPTIC SEIZURE PREDICTION

PROGNOSTIC COMPARISON OF STATISTICAL, NEURAL AND FUZZY METHODS OF ANALYSIS OF BREAST CANCER IMAGE CYTOMETRIC DATA

HOLOGRAPHIC DEFORMATION ANALYSIS OF THE HUMAN FEMUR

CLASSIFICATION OF SLEEP STAGES IN INFANTS: A NEURO FUZZY APPROACH

Reflex and Non-Reflex Torque Responses to Stretch of the Human Knee Extensors

Previous talks. Clinical applications for spiral flow imaging. Clinical applications. Clinical applications. Coronary flow: Motivation

Assessment of Cardio- & Neurovascular Hemodynamics in the Human Circulatory System using 4D flow MRI

CEREBRO SPINAL FLUID ANALYSIS IN BRAIN TUMOUR

MOLINA HEALTHCARE OF MICHIGAN PRIOR AUTHORIZATION / PRE-SERVICE REVIEW GUIDE IMAGING CODES REQUIRING PRIOR AUTHORIZATION EFFECTIVE 1/1/2014

PTA 106 Unit 1 Lecture 3

Final Performance Report. Contract # FA C-0006: Hearing Protection for High-Noise Environments Period of Performance: Oct 01, 2007 Nov 30, 2009

ACTION POTENTIAL TRANSFER AT THE PURKINJE - VENTRICULAR JUNCTION: ROLE OF TRANSITIONAL CELLS

A quantitative analysis of cerebrospinal fluid flow in post-traumatic syringomyelia

The Cardiac Cycle Clive M. Baumgarten, Ph.D.

Figure 1 Uncontrolled state where ZPFV is increased by 500 ml.

Mathematical Modeling of Craniospinal Hydrodynamics: Investigation of CSF Dynamics and Compliance Function

Patrick Segers 1, Nikos Stergiopulos 2, Pascal Verdonck 1 and Nico Westerhof 3

Intracranial Blood Pressure and Brain Vasculature

DESIGN OF A SINGLE SEGMENT CONDUCTANCE CATHETER FOR MEASUREMENT OF LEFT VENTRICULAR VOLUME

Report Documentation Page

BARORECEPTOR-SENSITIVE FLUCTUATIONS OF HEART RATE AND PUPIL DIAMETER

MR Flow Imaging in Vascular Malformations Using Gradient Recalled Acquisition

CSF Flow Quantification of the Cerebral Aqueduct in Normal Volunteers Using Phase Contrast Cine MR Imaging

Which method is better to measure arterial stiffness; augmentation index, pulse wave velocity, carotid distensibility? 전북의대내과 김원호

PRECURSORS TO RAPID ELEVATIONS IN INTRACRANIAL PRESSURE

D. G. Kamper 1,2, W. Z. Rymer 1,2

NANOS Patient Brochure

P VI CC is a measure of compliance of the craniospinal cavity, Assessment of Craniospinal Pressure-Volume Indices ORIGINAL RESEARCH

A PATIENT MONITORING TOOL FOR AN HIV/AIDS INTEGRAL CARE MODEL

FIRST EXPERIENCE IN ATRIAL ACTIVATION IMAGING FROM CLINICAL ELECTROCARDIOGRAPHIC MAPPING DATA

The Heart & Circulation (I)

ESTIMATION OF COHERENCE BETWEEN THE PULSATILE AORTIC BLOOD PRESSURE AND THE RENAL CORTICAL FLUX IN DODS

Medical Management of Intracranial Hypertension. Joao A. Gomes, MD FAHA Head, Neurointensive Care Unit Cerebrovascular Center

What effects will proximal or distal disease have on a waveform?

QUIZ 1. Tuesday, March 2, 2004

CHAPTER 4 Basic Physiological Principles

Estimation of CSF Flow Resistance in the Upper Cervical Spine

The circulatory system

Blood Flow, Blood Pressure, Cardiac Output. Blood Vessels

Ultrasound diagnostics of a spontaneous arteriovenous fistula of the head and neck

Simulation of the Blood Pressure Estimation using the Artery Compliance Model and Pulsation Waveform Model

4/19/2018. St. Cloud Hospital Perinatology Kristin Olson, RDMS, RVT

Circulation: Chapter 25. Cardiac Output. The Mammalian Heart Fig Right side of the heart

A SYSTEM FOR MONITORING POSTURE AND PHYSICAL ACTIVITY USING ACCELEROMETERS

Neuroimaging approaches for elucidating disease mechanisms in hydrocephalus Mark E. Wagshul

Transcription:

1of 4 MRI MEASUREMENTS OF CRANIOSPINAL AND INTRACRANIAL VOLUME CHANGE IN HEALTHY AND HEAD TRAUMA CASES N. Alperin, Y. Kadkhodayan, B. Varadarajalu, C. Fisher, B. Roitberg Department of Radiology and Neurosurgery, University of Illinois at Chicago, Chicago, IL, USA Abstract: The volumes of the intracranial space and the craniospinal system as a whole change during the cardiac cycle. These volume changes are caused by the pulsatile arterial inflow to the cranium, venous outflow from the cranium, and cerebrospinal fluid (CSF) flow that oscillates back and forth between the cranium and the spinal canal. The volume changes can be measured accurately and reproducibly using a dynamic, motion-sensitive MRI technique [1]. It appears intuitive that the volume change of the entire craniospinal system () should be greater than the intracranial volume change (). However, since they exhibit varying temporal information, can be smaller than. In the present study, these volume changes were measured in healthy humans and trauma cases. In the trauma cases, it was found that was smaller than. The cause was found to be increased pulsatility in the venous flow channels. It is suspected that the resulting relationship between and is related to the incidence of trauma, and perhaps being smaller than could serve as an indicator. Keywords: head trauma, intracranial volume change, craniospinal volume change, craniospinal system, arterial flow, venous flow, CSF flow, modulation transfer function I. INTRODUCTION The craniospinal system consists of two subcompartments, the intracranial space (skull) and the spinal canal. Cerebrospinal fluid (CSF) oscillates back and forth between these two subcompartments. The system can be modeled with arterial inflow and venous outflow. During systole, arterial blood rushes into the cranium, forcing the CSF out into the spinal canal. As the blood drains through venous channels during diastole, the CSF refills the cranium. Since this is a closed system, the entire craniospinal system volume change () can be found by subtracting the venous (V) outflow from the arterial (A) inflow and examining the peak to peak change in the integral of A-V over one cardiac cycle. If the CSF flow is also subtracted from the A-V flow, the intracranial volume change () can be obtained similarly. This method is used to measure the intracranial compliance and pressure from the ratio of volume and pressure changes that occur during the cardiac cycle [2]. II. METHOD Arterial, venous, and CSF flows were measured using a dynamic, motion-sensitive MRI technique [1]. This technique results in cross-sectional images of velocity. This means that the pixel values are proportional to the velocity of the particles. Gray areas are static; black represents velocity in one direction, while white represents velocity in the other. In the sample image (Fig. 2), the large white spot is a jugular vein carrying blood away from the cranium while the large black spots are carotid and vertebral arteries carrying blood into the cranium. The flow rates can be obtained from the images of velocity by integrating velocity values over the lumen area. This sample image is actually 1 of 32 images that are taken per cardiac cycle. Flow rates derived from each image are plotted together to create the flow waveforms in Fig. 3 that illustrate changing flow during one heart beat. Fig. 2: A sample phase contrast MRI image Regular biases in the MRI velocity measurements that result from baseline phase drifts are corrected by using the following constraint, which represents the conservation of fluid within the system and is known as the Monro-Kellie doctrine. This means that there is no change in the average intracranial volume over time: Fig. 1: The craniospinal system cardiac cycle [ A( t ) V ( t ) CSF( t )] t = 0 This work is supported by NIH grant RR14242-01.

Report Documentation Page Report Date 25OCT2001 Report Type N/A Dates Covered (from... to) - Title and Subtitle MRI Measurements of Craniospinal and Intracranial Volume Change in Healthy and Head Trauma Cases Contract Number Grant Number Program Element Number Author(s) Project Number Task Number Work Unit Number Performing Organization Name(s) and Address(es) Department of Radiology and Neurosurgery, University of Illinois at Chicago, Chicago, IL Sponsoring/Monitoring Agency Name(s) and Address(es) US Army Research, Development & Standardization Group (UK) PSC 802 Box 15 FPO AE 09499-1500 Performing Organization Report Number Sponsor/Monitor s Acronym(s) Sponsor/Monitor s Report Number(s) Distribution/Availability Statement Approved for public release, distribution unlimited Supplementary Notes Papers from the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 25-28 OCT 201, held in Istanbul, Turkey. See also ADM001351 for entire conference on cd-rom. Abstract Subject Terms Report Classification Classification of Abstract Classification of this page Limitation of Abstract UU Number of Pages 4

2of 4 This method has been applied to heatlhy humans and humans who had experienced head trauma. Both the total craniospinal volume change and the intracranial volume change were measured. III. RESULTS The craniospinal and intracranial volume changes for 5 healthy normal subjects are shown in Table I. All measured values are greater than the measured values. TABLE I Healthy mean values Subject 1 1.12 0.49 Subject 2 1.14 0.30 Subject 3 0.64 0.49 Subject 4 0.73 0.38 Subject 5 1.30 0.61 Student s t-test resulted in a statistically significant difference, p<0.01. Fig. 3a: Arterial, venous, and CSF flow (healthy) In two cases, subject F and subject D, it was retrospectively found that they had experienced head trauma 15 and 2 years ago, respectively. For these subjects, repeated measurements of and values are shown in Tables II and III. is consistently smaller than. TABLE II Subject F Trial 1 0.39 0.82 Trial 2 0.30 0.50 Trial 3 0.29 0.48 Trial 4 0.36 0.61 Mean 0.34 0.60 St dev 0.05 0.16 % St dev 14 26 Student s t-test resulted in a statistically significant difference, p<0.01. TABLE III Subject D Trial 1 0.35 0.71 Trial 2 0.41 0.42 Mean 0.38 0.57 Fig. 3b: Arterial, venous, and CSF flow (trauma) Fig. 4a: A-V, CSF (healthy) The measured arterial (A), venous (V), A-V, and CSF flows, as well as volume curves that are obtained from the integrals of these flows for a normal case and subject D, a trauma case, are shown in Fig. 3-5. IV. DISCUSSION The arterial and CSF flows are quite similar in both cases as shown in Fig. 3; however, the venous flow is markedly more pulsatile in the trauma case (Fig. 3b). This causes the A- V waveform to be negative during systole (Fig. 4b) unlike the normal case (Fig. 4a). Comparing Figs. 4a and 4b, it appears that the CSF follows the A-V to a much greater degree in a healthy subject than in a trauma subject. Fig. 4b: A-V, CSF (trauma)

3of 4 As a result, when the CSF waveform is subtracted from A- V for a healthy subject in order to calculate, the peak to peak of the volume waveform (0.49 ml) becomes smaller than the peak to peak of the volume of A-V waveform (1.08 ml) as shown in Fig. 5a. In the case of the trauma subject, the reverse is true. Because the A-V and the CSF waveforms are out of phase, their subtraction becomes larger. Therefore, the peak to peak of the volume of A-V-CSF (0.61 ml) is actually larger than the peak to peak of the volume of A-V (0.36 ml), as shown in Fig. 5b. true as shown in Tables II and III where is always smaller than because of differing temporal information. This anomaly appears to result from the increased pulsatility of the venous waveform. This may be due in part to decreased compliance in the venous channel or a direct link between arterial and venous flow channels, bypassing the capillaries and thus, any modulation that the brain tissue may offer (A-V shunt). The fact that there is net outflow of blood during the later part of systole is not explained by the possibilities mentioned. Fig. 5a: Integrals of A-V, A-V-CSF, CSF (healthy) Fig. 6: Volume change difference vs. pulsatility ratio Fig. 5b: Integrals of A-V, A-V-CSF, CSF (trauma) Venous pulsatility can be measured by the pulsatility ratio, which is defined as the ratio of the maximum amplitude of venous flow to the maximum amplitude of arterial flow. The difference between the and the is plotted against the pulsatility ratio for healthy normal subjects in Fig. 6. This graph demonstrates that as venous pulsatility increases relative to arterial pulsatility, the volume change difference goes down. The trauma cases that have been studied are cases in which the volume change difference has become less positive because of extremely high venous pulsatility. It appears intuitive that the craniospinal volume change should always be larger than the intracranial volume change, which is the volume change in one of two components of the system. This is the case in healthy normal subjects as shown in Table I. In some subjects, including one that was originally studied as a normal reference, this consistently did not hold Fig. 7a: Modulation transfer function (healthy) Fig. 7b: Modulation transfer function (trauma)

4of 4 A complementary way to characterize the craniospinal system dynamics is the application of modulation transfer function analysis using the A-V as the driving force (i.e. input) and the rate of intracranial volume change as the output. This approach has been previously described by Alperin, et al. [3]. An example of a modulation transfer function for a normal volunteer and for subject D who had experienced trauma are shown in Fig. 7a and 7b, respectively. The modulation transfer function of subject D shows resonance at the first harmonic (the heart rate in Hz). The resonance phenomenon is the result of the fact that venous blood outflow is larger than arterial inflow during systole and the fact that the CSF flow is out of phase with the A-V waveform in the same portion of the cardiac cycle. The authors are currently investigating possible mechanisms that may explain this behavior. The authors speculate that checking for to be greater than could become an indicator of head trauma. Further studies are needed to evaluate the degree of difference between and and how it relates to the extent of the trauma. REFERENCES [1] N. Alperin, Y. Kadkhodayan, F. Loth, R. Yedavalli, MRI Measurements of Intracranial Volume Change: A Phantom Study. Proc. Intl. Soc. Mag. Reson. Med., vol. 9(3), p. 1981, 2001. [2] N. Alperin, S. Lee, F. Loth, et al, MR-Intracranial pressure (ICP): a method to measure intracranial elastance and pressure noninvasively by means of MR imaging: baboon and human study, Radiology, vol. 217(3), pp. 878-85, 2000. [3] N. Alperin E. M. Vikingstad, B. Gomez-Anson, D. N. Levin, Hemodynamically independent analysis of cerebrospinal fluid and brain motion observed with dynamic phase contrast MRI, Mag. Reson. Med., vol. 35(5), pp. 741-54, 1996.