- •Ocular Blood Flow
- •Contents
- •1: Anatomy of the Ocular Vasculatures
- •Core Messages
- •1.1 Limbus and Conjunctiva
- •1.1.1 Cornea
- •1.1.2 Vasculature Distribution in the Anterior Segment
- •1.1.3 The Conjunctiva
- •1.1.3.1 The Conjunctival Arterial Supply
- •1.1.3.2 The Conjunctival Veins
- •1.2 Uveal Tract
- •1.2.1 The Iris
- •1.2.1.1 The Major Arterial Circle of the Iris
- •1.2.2 Ciliary Body and Processes
- •1.2.3 Choroid and Suprachoroid
- •1.2.3.1 Development of the Choroidal Vasculature
- •1.2.3.2 Arteries
- •1.2.3.3 Choroidal Veins (Vortex Veins)
- •1.2.3.4 Choriocapillaris
- •1.3 Optic Nerve Vasculature
- •1.4 Retina
- •1.4.1 Development of the Retinal Vasculature
- •1.4.2 Adult Retinal Vasculature
- •1.4.3 Nonprimate Adult Retinal Vasculatures
- •1.5 Conclusions
- •References
- •Core Messages
- •2.1 Introduction
- •2.3 Stochastic Error in the Entrapment of Microspheres
- •2.4 Methodological Errors and Practical Advice
- •2.4.1 Size of the Microspheres
- •2.4.2 Physical Characteristics of Microspheres
- •2.4.4 Dissection
- •2.4.5 Detection of RM and NAM
- •2.4.6 Detection of CM and FM
- •2.5 Biological Variation
- •2.5.1 Blood Pressure
- •2.5.3 Arterial Blood Gases
- •2.5.4 Other Possible Causes for Biological Variability
- •2.6 Summary for the Clinician
- •References
- •3: Laser Doppler Flowmetry in Animals
- •Core Messages
- •3.1 Introduction
- •3.2 History
- •3.3 Theory
- •3.4 Validation
- •3.5 Calibration
- •3.6 Zero Offset
- •3.7 Effects of Oxygen
- •3.9 Measurement Depth and Sampling Volume
- •3.10 Caveats
- •References
- •4: Oxygen Measurements in Animals
- •Core Messages
- •4.1 Introduction
- •4.2.1 Oxygen Electrodes
- •4.2.2 Hypoxyprobe
- •4.2.3 Magnetic Resonance Imaging
- •4.2.4 Phosphorescence Decay
- •4.2.5 Oximetry
- •4.3.1 Vitreal Oxygen
- •4.3.2 Intraretinal Oxygen
- •4.4 Oxygen in Avascular Retinas
- •4.5 Analysis of Retinal Oxygen Utilization
- •4.5.1 Fick Principle Analyses
- •4.5.4 Other Diffusion Models
- •4.6 Physiological Variations in Retinal Oxygen
- •4.6.1 Light
- •4.6.2 Hypoxia
- •4.6.3 Hyperoxia
- •4.6.4 Hypercapnia
- •4.7 Pathophysiology and Retinal Oxygen
- •4.7.1 Vascular Occlusion
- •4.7.2 Diabetes
- •4.7.3 Retinal Detachment
- •4.7.4 Retinal Degenerative Diseases
- •4.7.5 Retinopathy of Prematurity
- •4.8 Retinal Molecular Changes Related to Oxygen
- •4.9 Oxygen in the Optic Nerve Head
- •References
- •Core Messages
- •5.1 Measuring Technique
- •5.2 Normal Values
- •5.3 Retinal Pathologies
- •5.3.1 Diabetes Mellitus
- •5.3.2 Central Retinal Vein Occlusion
- •5.4 Summary
- •References
- •Core Messages
- •6.1 Introduction
- •6.1.1 Anatomy
- •6.3 Vessel Diameter Measurements Based on Photographic and Digitally Stored Images
- •6.3.1 Basics for Measurements on Stored Images
- •6.3.1.1 Measuring Principle
- •6.3.1.4 Problems and Measuring Errors
- •6.3.1.5 Physiological Variability of Vessel Diameter
- •6.3.2 Methods
- •6.3.2.2 Microdensitometry Based on Photographic Negatives
- •6.3.2.3 Measurements Based on Digital Images
- •6.4 Diameter Assessment for Blood Flow
- •6.4.1 Assessment of Flow by Use of Doppler Technique (CLBF)
- •6.5 Retinal Vessel Analysis
- •6.5.1 Basics of Retinal Vessel Analysis
- •6.5.2 Static Vessel Analysis
- •6.5.3 Results and Limits of Static Vessel Analysis
- •6.5.4 Results and Limits of Dynamic Vessel Analysis
- •6.5.4.1 Stimulation with Flicker Light
- •6.5.4.2 Other Provocation Tests
- •6.5.5 Systems Available for Dynamic Vessel Analysis
- •6.6 Further Perspectives
- •References
- •Core Messages
- •7.1 Introduction
- •7.2 Retinal Laser Doppler Velocimetry
- •7.2.1 The Doppler Effect
- •7.2.2 Electric Field Scattered by Singly Scattering Particles Moving in a Capillary Tube
- •7.2.5 Experimental Test of the Bidirectional LDV Technique
- •7.2.7 The DSPS for RBCs Moving in a Retinal Vessel
- •7.2.7.1 Multiple Scattering of Blood
- •7.2.7.2 DSPS from RBCs Flowing in a Glass Capillary Tube
- •7.2.7.3 DSPS from Human Retinal Vessels
- •7.2.7.4 Exploring the Scattering Process
- •7.2.9 Instrumentation
- •7.2.10 Blood Flow in Retinal Vessels
- •7.2.12 Limitations, Safety, and Future Directions of the LDV Technique
- •7.2.13 Physiologic and Clinical Applications (Brief Overview)
- •7.3.1 The DSPS for RBCs Moving in the Microvascular Bed of a Tissue
- •7.3.2 Hemodynamic Parameters Derived from the DSPS
- •7.3.3 Detection Scheme for Optic Nerve and Subfoveal Choroidal Blood Flow
- •7.3.4 Critical Questions Regarding the Application of LDF to Ocular Blood Flow
- •7.3.4.1 LDF Sample Volume
- •7.3.4.2 Linearity of LDF
- •7.3.4.3 Scattering Scheme
- •7.3.5 Reproducibility of LDF
- •7.3.6 Applications of LDF
- •7.4 Summary for the Clinician
- •References
- •8: Color Doppler Imaging
- •Core Messages
- •8.1 Principles
- •8.2 Instrumentation
- •8.3 Procedure
- •8.4 Outcome Variables
- •8.5 Reproducibility
- •8.6 Physiological and Pharmacological Stimuli
- •8.7 Results in Patients with Disease
- •8.8 Advantages and Limitations
- •References
- •9: Other Approaches
- •Core Messages
- •9.1 Blue Field Entoptic Technique
- •9.1.1 Laser Speckle Technique
- •9.1.2 Pulsatile Ocular Blood Flow
- •9.1.2.1 Laser Interferometry
- •References
- •10: Systemic Determinants
- •Core Messages
- •10.1 Introduction
- •10.1.1 Ocular and Systemic Blood Flow
- •10.2 Local Skin Cooling Effect
- •10.2.1 Choroidal Blood Flow
- •10.2.2 Retinal Blood Flow
- •10.3 Aerobic Exercise
- •10.3.1 Choroidal Blood Flow
- •10.3.2 Macular Blood Flow
- •10.3.3 Retinal Blood Flow
- •10.4 Neural Activation
- •10.4.1 Valsalva Maneuver
- •10.4.2 Nicotine
- •10.5 Blood Pressure Versus Ocular Perfusion Pressure
- •10.5.1 Increased Ocular Perfusion Pressure
- •10.5.1.1 Choroidal Blood Flow
- •10.5.2 Decreased Ocular Perfusion Pressure
- •10.5.2.1 Choroidal Blood Flow
- •10.5.2.2 Optic Nerve Head Blood Flow
- •10.5.3 Neural Retinal Function
- •10.6 Blood Gases
- •10.6.1 Hyperoxia and Blood Flow
- •10.6.3 Hypoxia and Pulsatile Choroidal Blood Flow
- •10.6.4 Hyperoxia, Hypercapnia, and Retinal Function
- •10.6.5 Hypoxia, Hyperoxia, and Retinal Function
- •10.7 Regional Choroidal Perfusion
- •10.7.1 Cones Versus Rods: Structure and Function
- •10.7.2 Choroidal Angioarchitecture
- •10.7.3 Dark Adaptation
- •10.7.4 Protracted Blue Flicker
- •10.8 Aging
- •10.8.1 Structure
- •10.8.2 Blood Flow
- •10.8.3 Retinal Function
- •References
- •11: Local Determinants
- •Core Messages
- •11.1 Introduction
- •11.2 Ocular Perfusion Pressure, IOP, and the Ocular Starling Resistor Effect
- •11.3 Types of Local Control
- •11.3.1 Myogenic Local Control
- •11.3.2 Metabolic Local Control
- •11.3.3 Flow-Mediated Vasodilation
- •11.3.4 Flow Control by Intercellular Conduction
- •11.4 Ocular Local Control
- •11.4.1 Optic Nerve Head (ONH)
- •11.4.2 Choroid
- •11.4.3 Retina
- •11.4.4 Ciliary Body
- •11.4.5 Iris
- •11.5 Caveats
- •11.6 Summary for the Clinician
- •References
- •12: Neural Control of Ocular Blood Flow
- •Core Messages
- •12.1 Overview of Ocular Blood Supplies and Their Neural Control
- •12.2 Neural Control of Optic Nerve and Retinal Blood Flow
- •12.3 Neural Control of Iridial and Ciliary Body Blood Flow
- •12.4 Neural Control of Blood Flow in Orbital Glands
- •12.5 Neural Control of Choroidal Blood Flow
- •12.5.1 Importance of the Choroid
- •12.5.2 Choroidal Innervation: Overview of Anatomy
- •12.5.3 Facial Nucleus Parasympathetic Input
- •12.5.3.4 Choroidal Autoregulation and the PPG Input to Choroid – Mammals
- •12.5.3.8 Choroidal Autoregulation and the PPG Input to Choroid – Birds
- •12.5.4 Oculomotor Nucleus Parasympathetic Input
- •12.5.4.1 Ciliary Ganglion Circuitry – Mammals
- •12.5.4.2 Function of the EW-Ciliary Ganglion Circuit – Mammals
- •12.5.4.3 Ciliary Ganglion Circuitry – Birds
- •12.5.4.4 Function of vSCN-EWM-Ciliary Ganglion Circuit – Birds
- •12.5.5 Sympathetic Superior Cervical Ganglion Input
- •12.5.6 Trigeminal Sensory Input
- •12.5.7 Intrinsic Choroidal Neurons
- •12.5.8 Disturbed Neural Control of Choroidal Blood Flow in Aging and Retinal Disease
- •12.5.8.1 Effect of Aging on Retina and Choroid
- •12.5.8.2 Effect of Disease on Retina and Choroid
- •References
- •13: Endothelial and Adrenergic Control
- •Core Messages
- •13.1 Nitric Oxide
- •13.2 Endothelins
- •13.3 Arachidonic Acid Metabolites
- •13.4 Adrenergic Control
- •13.5 Alpha Receptors
- •13.6 Topical Administration
- •13.6.1 Clonidine
- •13.6.2 Brimonidine
- •13.6.3 Beta Receptors
- •13.6.4 Timolol
- •13.6.5 Human Studies
- •13.6.6 Betaxolol
- •13.6.7 Human Studies
- •13.6.8 Levobunolol
- •13.6.9 Carteolol
- •13.6.10 Serotonin
- •13.7 Carbonic Anhydrase Inhibitors
- •13.8 Acetazolamide
- •13.9 Dorzolamide
- •13.10 Retrobulbar Blood Flow
- •13.11 Retinal Blood Flow
- •13.12 Choroidal and Optic Nerve Head Blood Flow
- •13.13 Brinzolamide
- •References
- •Core Messages
- •14.1 Introduction
- •14.2 Retinal Ischemia Basic Mechanisms
- •14.3 Oxidative Stress
- •14.6 Animal Studies Relating Ischemia, Glaucoma, and Neuroprotection
- •14.6.1 Retinal Ischemia
- •14.6.6 Role of Mitochondria (Fig. 14.6)
- •References
- •Core Messages
- •15.1 Introduction
- •15.2 Retinal Blood Flow in Diabetes
- •15.3 Retinal Hypoperfusion
- •15.3.1 Mechanisms of Hypoperfusion
- •15.3.1.1 Glycaemic Control
- •15.3.1.2 Protein Kinase C
- •15.3.1.3 Ion Channel Dysfunction
- •15.4 Retinal Hyperperfusion
- •15.4.1 Mechanisms of Hyperperfusion: A Link to Hypoperfusion, Tissue Hypoxia and Retinal Leukostasis?
- •15.4.2 Retinal Autoregulation in Diabetes
- •15.5.1 Basement Membrane Thickening
- •15.5.3 Microaneurysms
- •15.5.4 Capillary Acellularity
- •15.6 Retinal Blood Flow and Vision Loss in Diabetic Retinopathy
- •15.6.1 Diabetic Macular Oedema
- •15.6.2 Proliferative Diabetic Retinopathy
- •15.7 Conclusions
- •15.8 Summary for the Clinician
- •References
- •Core Messages
- •16.1 Introduction
- •16.2 Choroidal Blood Flow
- •16.3 Systemic Vascular Factors and AMD
- •16.5 Choroidal Hemodynamic Changes in AMD
- •16.5.1 Choroidal Histopathological Vascular Changes in AMD
- •16.5.1.1 Choriocapillaris and Bruch’s Membrane in Aging and AMD
- •16.5.2 Choroidal Microcirculation in AMD
- •16.5.2.2 Choroidal Watershed Zones and Neovascularization
- •16.5.2.3 Laser Doppler Flowmetry Evaluation
- •References
- •Core Messages
- •17.1 Introduction
- •17.2 Potential Mechanisms of Ischaemic Damage in Glaucoma
- •17.2.2 Autoregulatory Disturbances
- •17.2.3 Mechanical Compression or Collapse of Vessels
- •17.2.4 Atherosclerosis
- •17.2.5 Vascular Endothelial Factors
- •17.2.6 Barriers to Nutrient Delivery
- •17.2.7 Circulating Vasoconstrictors
- •17.3 Evidence Base Supporting the Importance of Ischaemia in Glaucoma
- •17.3.1 Association and Causality
- •17.3.1.1 Reduction in Optic Nerve Head Blood Flow
- •17.3.1.2 Blood Pressure, Intraocular Pressure and Perfusion Pressure
- •17.3.1.3 Nocturnal Hypotension
- •17.3.1.4 Vasospasm
- •17.3.1.5 Endothelin and Other Circulating Peptides
- •17.3.2 Effects of Treatment
- •17.3.2.1 Calcium Channel Blockers
- •17.3.2.2 Topical Adrenergic Antagonists
- •17.3.2.4 Prostaglandin Analogues
- •17.4 Experimental Models of Ischaemia Relating to Glaucoma
- •17.4.1 Acute Ischaemia
- •17.4.2 Chronic Ischaemia
- •17.5 Summary
- •17.5.1 Diversity of Evidence
- •17.5.2 Evidence Base Compared to Intraocular Pressure
- •17.5.3 Requirements to Strengthen Evidence Base
- •References
- •Core Messages
- •18.1 Retinal Diseases
- •18.2 Uveitis
- •18.3 Optic Nerve Disorders
- •18.4 Systemic Diseases
- •References
- •Core Messages
- •19.1 Atherosclerosis
- •19.1.1 Pathogenesis of Atherosclerosis
- •19.1.2 Internal Carotid Artery Disease (ICA)
- •19.1.3 Effects on the Ocular Circulation
- •19.1.3.1 Retinal Artery Occlusion
- •Clinical Characteristics
- •Diagnosis
- •Mortality/Morbidity
- •19.1.3.2 Retinal Vein Occlusion (RVO)
- •Clinical Characteristics
- •Pathogenesis
- •Diagnosis
- •19.1.3.3 Ischemic Optic Neuropathy
- •Clinical Characteristics
- •Mortality/Morbidity
- •19.1.3.4 Asymptomatic Retinal Emboli
- •Background
- •Pathophysiology
- •19.2 Vasculitis
- •19.2.1 Takayasu’s Arteritis (Aortic Arch Syndrome)
- •19.2.1.1 Pathophysiology
- •19.2.1.2 Clinical Characteristics
- •19.2.1.3 Epidemiology
- •19.2.2 Behcet’s Disease
- •19.2.2.1 Clinical Characteristics
- •19.2.2.2 Pathogenesis
- •19.2.2.3 Diagnosis
- •19.2.2.4 Epidemiology
- •19.2.3 Thromboangiitis Obliterans
- •19.2.3.1 Diagnosis and Clinical Characteristics
- •19.2.3.2 Treatment
- •19.2.4 Temporal Arteritis
- •19.2.4.1 Epidemiology
- •19.2.4.2 Pathogenesis
- •19.2.4.3 Ocular Manifestations
- •19.2.5 Wegener’s Granulomatosis
- •19.2.5.1 Pathogenesis
- •19.2.5.2 Ocular Manifestation
- •19.2.5.3 Diagnosis
- •19.2.6 Kawasaki Disease
- •19.2.6.1 Clinical Characteristics
- •19.2.6.2 Diagnosis
- •19.3 Vascular Malformations
- •19.3.1.1 Diagnosis
- •19.3.1.2 Pathophysiology
- •19.4 Systemic Hypertension and Treatment
- •19.4.1 Etiology
- •19.4.1.1 Primary Hypertension
- •19.4.1.2 Secondary Hypertension
- •19.4.2 Pathophysiology
- •19.4.3 Pathology and Complications
- •19.4.4 Symptoms and Signs
- •19.4.5 Diagnosis of Hypertension
- •19.4.5.1 History
- •19.4.5.2 Physical Examination
- •19.4.5.3 Testing
- •19.4.6 Prognosis
- •19.4.7 General Treatment
- •19.4.7.2 Drugs
- •19.5 Hypertensive Retinopathy
- •19.5.2 Pathophysiology
- •19.5.3 Blood Pressure
- •19.5.3.1 The Risk of Stroke
- •19.5.3.2 The Risk of Coronary Heart Disease
- •19.5.4 Treatment
- •19.5.4.1 ACE Inhibitors and the Eye
- •References
- •Index
124 |
C.E. Riva |
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fast development of this device and optical techniques associated with it, this principle has led over the last 35 years to the measurement of blood ßow in a number of tissues of the body [1]. In 1972, the retina provided the Þrst measurements of blood velocity obtained by means of the Doppler shift [2]. LDV measurement of blood velocity in human retinal vessels was published 2 years later [3]. Subsequent to the pioneering work of Stern [4], who assessed blood ßow in the tissue of the skin, Riva et al. [5] described a method to measure blood velocity in the human optic nerve microcirculation. This method was then extended to the measurement of blood ßow in the vascular bed of the cat optic nerve head (ONH) [6], the human ONH [7, 8], and the subfoveal choroid [9]. In 1995, Michelson and Schmauss Þrst reported mapping of blood ßow in the microcirculation of the human retina by means of scanning LDF [10].
The present chapter is by no means an exhaustive description of LDV and LDF. Regrettably, due to limitation of space, a choice of papers and reviews among the extensive laser Doppler literature related to the eye had to be made. Part of the material of this chapter has been reproduced with permission from previous publications [11Ð14].
7.2Retinal Laser Doppler Velocimetry
7.2.1The Doppler Effect
The basis of LDV and LDF is the Doppler effect, Þrst described in 1842 by the Austrian physicist Christian Doppler in an article entitled ÒOn the Colored Light of Double Stars and Some Other Heavenly Bodies.Ó Doppler describes the frequency shift that a sound or a light wave undergoes when emitted from an object that is moving away or towards an observer. It manifests itself, for example, in the increase in the pitch of the siren of an approaching ambulance.
Consider a particle, such as a red blood cell (RBC), moving at velocity V (Fig. 7.1). A laser
fo + f
fo
ai
aS
RBC |
V |
Fig. 7.1 The Doppler effect: The frequency of the light scattered by the particle moving at the velocity V in the direction deÞned by as is shifted in frequency by an amount Df compared to that of the incident light (frequency f0 and direction deÞned by ai with V)
beam of single frequency, f0, is incident on this particle. This beam, which is deÞned by the wave vector Ki, will be scattered by the particle in vari-
ous directions. The beam scattered in the direc-
tion of the detector, deÞned by Ks , is shifted in frequency by an amount:
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1 |
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1 |
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Df = |
(Ks |
- Ki ) ·V = |
(K) ·V |
(7.1) |
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2p |
2p |
where the symbol (¥) represents the scalar prod- |
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uct and K = Ks |
- Ki ¥ |
Ks |
@ |
Ki |
@ 2π n / λ ¥ n is the |
refractive index of the medium and λ is the wavelength in vacuo of the incident laser light.
In order to determine Df , the scattered light must be detected by a sensor, which transforms the electric Þeld of the scattered light incident upon it into a current. This current is in turn processed to determine its frequency content. The technique by which Df is determined from the scattered Þeld is known as Òoptical mixing spectroscopy (OMS)Ó or Òlight beating spectroscopyÓ [15, 16].
Understanding the application of OMS to the measurement of RBC velocity in retinal vessels requires a description of the electric Þeld of the scattered light, followed by that of the current at the output of the detector. This description will be Þrst carried out in the simpliÞed case of singly scattering particles moving in a glass capillary tube and then extended to multiply scattering RBCs.
7 Laser Doppler Techniques for Ocular Blood Velocity and Flow |
125 |
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Fig. 7.2 (a) Schematic representation of a volume of a
capillary tube illuminated by an |
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incident wave deÞned by |
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cosω |
t and with the wave |
E |
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o |
o |
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vector Ki . The light scattered by the particles moving in the tube and the vessel wall is deÞned by Ks . (b) Assumed parabolic velocity proÞle of the particles in the capillary tube. The cylindrical shell DR contains particles moving at velocity V, the value of which is given by PoiseuilleÕs law (Adapted from Riva and Feke [13] with permission from the Publisher)
E0 (Ki‚t ) cosw0t
Es (Ks‚t ) a 

b
v
R
R
7.2.2Electric Field Scattered by Singly Scattering Particles Moving in a Capillary Tube
The electric Þeld, |
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,t), of the light scattered in |
E (K |
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s |
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direction Ks at time t by a dilute solution of singly scattering particles moving at constant velocity through a glass capillary tube (Fig. 7.2) consists of light scattered by both the particles and the glass
wall. The incident monochromatic beam (single
frequency, f0), Eo cosωot (ωo = 2π / f0 ), is assumed to illuminate uniformly the entire cross section of the tube.
If the particles are much smaller than the cap-
illary radius, R |
, their |
velocity proÞle |
obeys |
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0 |
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PoiseuilleÕ law, |
i.e., V (R) |
(for |
simpliÞcation, |
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V (R) = |
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V (R) |
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distance, |
R, |
from the axis of the tube: |
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ì |
æ |
2 |
ü |
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ï |
R ö |
ï |
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V (R) = Vmax í1- ç |
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ý |
(7.2) |
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ï |
è |
R0 ø |
ï |
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î |
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þ |
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Vmax is the centerline (maximum) velocity of the particles. Due to this distribution of velocities, the scattered light consists of a range of Dopplershifted frequencies.
With Poiseuille ßow, if one divides the range of velocities (0 to Vmax) into N equal increments, DV, (Fig. 7.2) the particles with speeds between V and V+DV are located in a shell of radial thick-
ness DR, where from Eq. 7.2, DR=R02DV/2RVmax. Furthermore, if the concentration of particles across
the tube is uniform, there will be equal numbers of
particles ßowing at each velocity range [2].
The Þeld Es (K,t) is the sum of the Þeld scattered by the particles and the Þeld scattered by the vessel wall:
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N |
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Es(K,t) = å |
E |
(K,t) + E |
LO |
(K,t) |
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(7.3) |
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i=0 |
i |
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, the Þeld scattered by the particles with |
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Ei (K,t) |
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velocity |
V |
i |
has |
the |
frequency 2p(f |
0 |
+ Df |
). |
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ELO (K,t) is the Þeld of the light scattered from the tube wall. It has the same frequency as the incident light since the tube is not moving and acts as a reference beam, conventionally called Òlocal oscillator (LO).Ó
Under the conditions of both uniform concen-
tration of the particles and laser illumination of |
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the tube, each |
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has the same amplitude, |
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Ei (K,t) |
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A(K) and thus: |
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(7.4) |
Ei (K,t) = A(K)cos 2π ( f0 + Dfi )t |
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Similarly, ELO (K,t) |
can be written as: |
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ELO (K,t) = ALO (K)cos 2π f0t |
(7.5) |
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Therefore: |
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Es (K,t) = ALO (K)cos 2π f0t |
(7.6) |
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N |
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+ A(K)åcos 2π ( f0 + Dfi )t |
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i=0
126 |
C.E. Riva |
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The power spectral density of the scattered
light P ( f ) |
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detected for the scattering geometry |
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Es |
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is obtained by applying Fourier |
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deÞned by |
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analysis: |
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ù (7.7) |
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iDf |
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ê f - ( f0 + |
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Dfmax |
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Vmax , and δ ( f |
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Thus, |
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spectrum of |
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Es (K,t) consists of a d function at f0, a ßat part of |
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magnitude ALO A/2 from f0 to f0 + Dfmax and zero
beyond f0 + Dfmax. |
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Since f0 is approximately |
5 × 1014 Hz, and Df |
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for retinal vessels (see later) |
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ranges between 0 and @ 5´104 kHz , the required resolution (Df/f0) for its detection, namely <<l0−10, was far beyond the capability of spectroscopic techniques available until @ 1965 . However, with OMS, the information contained in the optical spectrum could be translated from the high frequencies of light waves down to sufÞciently low frequencies, where instruments operate with adequate resolution to resolve the spectrum of Doppler shifts.
spectral density |
DSPS = Pi (Df ) |
of the photocur- |
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rent [13]: |
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Pi (Df ) = |
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(Df ) = |
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eβS ëALO |
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Dfmax is deÞned as the cutoff frequency of Pi (Df ) .e
is the charge of the electron, and ScohLO is the coherence area of the local oscillator at the detec-
tor surface.
The third term of Pi (Df ) in Eq. 7.9 is a squared replica of the second term of PEs(f) in Eq. 7.7, but shifted down towards low frequencies, so that the particle velocities can be determined from measurements of Pi (Df ). Thus, the process of mixing at the detector surface of the light scattered by the particles with the light from the glass wall (local oscillator) results in the downshifting of the spectrum from optical frequencies to frequencies in the kHz range (Fig. 7.3), where high-resolution spectral analy-
7.2.3Doppler Shift Power Spectrum sis can be performed with conventional devices.
(DSPS) of the Photocurrent
In the application of OMS, Es (K,t) is directed
onto the surface (S) of a square wave photodetec-
tor. This Þeld generates a photocurrent, i(r,t) , where r is a point on S. The time average 
of this current is:
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i(t) = òβ Es (K,t)dS |
(7.8) |
S
b is the responsivity of S. All the information on the particles velocities can be extracted from
i(t)
. This extraction, which is complex and beyond the scope of this chapter, leads to the following expression for the Doppler shift power
The term |
1 |
eβ S éALO2 + A2 |
ù |
is the photodetector |
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shot noise, which is due to the stochastic nature |
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In general, the local oscillator is much more |
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intense than the Þeld scattered by the particles
so that ALO >> A. As a result, the shot noise is |
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practice, the ability to |
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power spectral density of the signal term be larger than that of the shot noise term. A measure of this ability is the intrinsic signal-to-noise ratio (SNR), which is:
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2 |
N |
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iDfmax ö |
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SNR(Df ) = |
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7 Laser Doppler Techniques for Ocular Blood Velocity and Flow |
127 |
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Fig. 7.3 Theoretically predicted photocurrent power
spectral density, Pi(Df), |
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explicitly showing DC |
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component β 2 S 2 |
éA2LO + A2 |
ù2 |
at |
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ë |
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Df = 0, signal component, |
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β SScoh LO A2LO A2 , extending to fmax and shot noise component,
eβSA2LO (Adapted from Riva
2
and Feke [13] with permission from the Publisher)
Pi ( f )
b |
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S |
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0
For given b, S, and Scoh LO , the only way to increase the SNR is to increase A2 , i.e., the intensity of the incident laser light.
7.2.4Absolute Vmax Measurements
To obtain V |
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max |
using Eq. 7.1, |
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the angle between |
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difÞcult in the living eye due mainly to the difÞculty of determining accurately the direction of blood ßow in a retinal vessel.
This problem is solved by means of a bidirectional detection scheme [17, 18], in which
is measured for two directions of the scattered light. Vmax is then obtained from the formula:
Vmax |
= |
λD* fmax |
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the intraocular angle between the two scattering
directions, K1 , K2 , which can be obtained from the corresponding extraocular angle [17Ð19]. The calculation of Dα requires the measurement of the axial length of the eye, a routine
procedure in ophthalmology [18, 20]. b is the
angle between V max and the plane deÞned by
the vectors (K1, K2 ) . n is the index of refraction of the medium. Implementation of the bidirectional scheme to a fundus camera is shown in Fig. 7.4, top.
bSS cohLO A2 LO A2
ebSA2Lo
2
fmax |
f |
7.2.5Experimental Test of the Bidirectional LDV Technique
With the aim of testing the validity of the bidirectional scheme [11], polystyrene latex spheres (diameter=0.3 mm) suspended in water were passed at known V max through a glass capillary tube (diameter=200 mm) placed in the retinal plane of a Topcon model eye. The incident laser beam (helium-neon, 632.8 nm) was focused on the tube which was placed at different locations of the fundus. The direction of the ßow was also varied stepwise from 0¡ (tube horizontal) to 180¡. Measurements were performed for an emmetropic and an axially ametropic (± 4 diopters) eye. DSPS were recorded for two scattering directions by means of a two-channel digital signal spectrum analyzer (Fig. 7.4, bottom). These DSPS are characterized by sharp cutoffs from
which Dfmax,1 and Dfmax,2 can be accurately determined. The value of Vmax calculated using Eq. 7.11
was found to be in good agreement (<3% difference) with the value obtained from the known ßow through the tube and the cross section of the tube. The difference was attributed to errors in Dα and D* fmax . Feke et al. demonstrated similar results and
also |
conÞrmed |
the linear relationship between |
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and scattering |
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geometry ( Dα ) [19].
The increase in spectral power in the region of the cutoff frequencies for the DSPS shown in Fig. 7.4 bottom is probably due to a nonuniform illumination of the tube by the laser beam, which was smaller than the tube internal diameter. As a
128 |
C.E. Riva |
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Vmax |
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Vmax |
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vessel |
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Prism |
A2
Fundus camera optics
Fig. 7.4 Top: Fundus-camera-based scheme for the detection of light scattered from blood moving with velocity Vmax along two directions K1 and K2 deÞned by apertures A1 and A2 in the plane of the eye pupil. The beam through A2 is focused at P2 after deßection by a prism in the collecting optics. The direction P1 −P2 is aligned with that of A1 −A2. The direction A1 −A2 can be rotated in the plane of the pupil
for alignment with the direction of the vessel (Adapted from Riva et al. [25] with permission from the Publisher). Bottom: DSPS obtained simultaneously along two directions of the scattered light from a suspension of polystyrene spheres in water through a 200-mm-internal-diameter glass capillary tube mounted in the ÒretinalÓ plane of a model eye (Adapted from Riva et al. [18] with permission from the Publisher)
result, the faster particles received more light relative to the slower ones located close to the vessel wall. The effects of laser beam size, eccentricity, as well as absorption of light by the ßowing medium, have been reported by Petrig and Follonier [21].
7.2.6The Output Signal-to-Noise Ratio of the DSPS and Its Dependence on the Recording Time
Due to the stochastic nature of the photodetector emission process, the photocurrent is a ßuctuating quantity so that there is an uncertainty in the
measurement of the DSPS when the measurement is performed in a Þnite time. This phenomenon is illustrated by four DSPS recorded in different times from a 0.1 suspension of 1-mm-
diameter |
polystyrene spheres |
ßowing with a |
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through a 200-mm-internal- |
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(Fig. 7.5). As |
expected, the ßuctuations of decrease as the measurement time increase. It can be shown that, based on a previous analysis [13, 16], if
Dν ´T 1, |
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