- •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
7 |
Laser Doppler Techniques for Ocular Blood Velocity and Flow |
129 |
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Pi ( |
f) |
Pi ( f) |
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0.4 |
0.8 |
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5 |
f (kHz) 10 |
5 |
f (kHz) 10 |
Pi ( f) |
|
Pi ( f) |
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1.6 |
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3.2 |
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5 |
f (kHz) |
10 |
5 |
f (kHz) |
10 |
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Fig. 7.5 DSPS (Pi(Df)) obtained in measurement times of 0.4, 0.8, 1.6, and 3.2 s from 0.1% suspension of polystyrene spheres in water ßowing through a 200-mm-internal-
diameter glass capillary tube. The precision of Pi(Df) at each Df increases with the measurement time (Adapted from Riva et al. [13] with permission from the Publisher)
s is the standard deviation, T the measurement time, and Dν the resolution bandwidth of the spectrum analyzer. The linear relationship expressed by Eq. 7.12 has been veriÞed with excellent accuracy for the recordings shown in Fig. 7.5 [13].
7.2.7The DSPS for RBCs Moving in a Retinal Vessel
7.2.7.1 Multiple Scattering of Blood
Equation 7.10 is based on a model that assumes single scattering of the incident laser light by the RBCs. The validity of this assumption, however, may be questionable in view of previous studies that demonstrate a predominance of multiple scattering when visible light interacts with whole blood. Thus, in a blood layer of 100 mm, the photon mean free path length at a wavelength ® = 0.6328 mm is only 7 mm [22], and multiple scattering of light by the RBCs is expected to be important [23]. Therefore, for blood vessels with diameters typically between 50 and 200 mm, photons would be expected to
have undergone a great number of scattering events and, consequently, of Doppler shifts before being detected.
7.2.7.2 DSPS from RBCs Flowing in a Glass Capillary Tube
Four DSPS from whole blood (hematocrit, 41%) ßowing at a maximum speed of 1.44 cm/s through a glass capillary tube with a 200-mm internal diameter are shown in Fig. 7.6. The expected Dfmax was 5.9 kHz. Clearly, the DSPS obtained in 51.2 s does not exhibit the rectangular shape of the DSPS predicted for a dilute suspension of latex spheres (Fig. 7.5). There is no discernible cutoff at the expected Dfmax but a rather a monotonic decrease in the amplitude at the higher frequencies. The spectral power beyond 5.9 kHz is most likely the result of multiple scattering as the laser light penetrates into and exits from the ßowing medium [2, 24]. The DSPS obtained in 3.2 s has essentially the same characteristics. However, since the measurement time is much shorter, the statistical ßuctuations in Pi (Df ) are increased, as expected. One also observes that the DSPS obtained in 0.4 s exhibits a greater increase in the
130 |
C.E. Riva |
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Pi ( f) |
Pi ( f) |
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0.4 |
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0.1 |
5 |
10 |
15 |
20 |
5 |
10 |
15 |
20 |
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f (kHz) |
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f (kHz) |
Pi ( f) |
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Pi ( f) |
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3.2 |
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51.2 |
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5 |
10 |
15 |
20 |
5 |
10 |
15 |
20 |
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f (kHz) |
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f (kHz) |
Fig. 7.6 DSPS obtained in 0.1, 0.4, 3.2, and 51.2 s from whole blood ßowing through a 200-mm internal diameter glass capillary tube. Dashed lines are the expected Dfmax (Adapted from Riva et al. [13] with permission from the Publisher)
ßuctuations in Pi (Df ) in the region Df < Dfmax than |
<0.2 s displays a clear break in the magnitude of |
||
in the region Df > Dfmax. Consequently, the transi- |
the ßuctuations, allowing adequate determination |
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tion in the ßuctuations, which becomes discern- |
of Dfmax. |
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ible at 5.9 kHz, is now clear in the DSPS obtained |
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in 0.1 s. This phenomenon has been explained |
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based on the hypothesis that in the region of the |
7.2.7.4 Exploring the Scattering Process |
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DSPS corresponding to Df < Dfmax, Pi (Df ) arises |
DSPS with nearly ideal rectangular shape can be |
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primarily from single scattering, whereas in the |
obtained from cat retinal vessels (diameter |
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region Df > Dfmax, |
Pi (Df ) |
is only due to the contri- |
<120 mm) if detection of the laser light that has |
bution of multiple scattering. A mathematical |
been doubly transmitted through the vessels can |
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description of this experimentally observed phe- |
be prevented [22], allowing single backscattering |
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nomenon, which allows accurate determination |
to be the predominant process [25]. For vessels |
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of Dfmax of the RBCs by using short measurement |
with diameter »120 mm or bigger, single back- |
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times, is beyond the scope of this chapter but can |
scattering becomes increasingly less predominant |
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be found in Appendix A of Riva and Feke [13]. |
than multiple backscattering, with ensuing degra- |
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dation of the sharpness of the cutoffs. |
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The cat retina offers the opportunity to record |
7.2.7.3 DSPS from Human Retinal Vessels |
DSPS generated either through single scattering |
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DSPS obtained from a human retinal vein using |
or through multiple scattering. Multiple scatter- |
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recording times of 0.1, 0.2, and 0.8 s display sim- |
ing occurs when the incident laser is focused on a |
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ilar characteristics as those recorded from whole |
retinal vessel coursing in front of the tapetum, a |
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blood in a glass capillary tube (Fig. 7.7). The |
highly light reßecting layer. The light transmitted |
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ßuctuations in |
Pi (Df ) |
at frequencies up to |
through such a vessel is retransmitted through it |
approximately 6.5 kHz increase dramatically as |
after reßection at the tapetum. This doubly |
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the analysis time is shortened. A recording time |
forward transmitted light involves predominantly |
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7 Laser Doppler Techniques for Ocular Blood Velocity and Flow |
131 |
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In the lower half of the catÕs retina, the retinal vessels course in front of a heavily pigmented Pi ( f) layer that absorbs nearly all the incident laser light transmitted through the vessel. Practically,
0.1
only light backscattered by the RBCs and vessel wall is detected. In this case, this light maintains most of the polarization of the incident light. The DSPS have a rectangular shape, and the sharp cutoff varies with the scattering angle, as expected from the Doppler formula (Fig. 7.8). The detected light represents probably pseudo-singly backscattered light by the RBCs, a scattering process occurring in vessels with diameters up to at least 120 mm [27].
0.2
0.8
5 |
10 |
15 |
20 |
f (KHz)
Fig. 7.7 DSPS from a human retinal vein obtained in 0.1, 0.2, and 0.8 s, demonstrating the effect of decreasing the measurement time. With a short measurement time, the cutoff frequency Dfmax can be more precisely detected (Adapted from Riva et al. [13] with permission from the Publisher)
multiple scattering of light by the RBCs. The detected light is depolarized, and the corresponding DSPS does not present a sharp cutoff but rather has a smoothly declining shape (Fig. 7.8), which does not vary with the scattering angle. Such DSPS conform to the model of Bonner and Nossal when multiple scattering is the dominant process [26].
7.2.8Computer Modeling of the
DSPS for Automatic Determination of Äfmax
In the early days of retinal blood velocity recordings by LDV, the photocurrent was fed to a tape recorder, and a loudspeaker and the DSPS were recorded during playback. Typically, for veins and arteries during diastole and often during systole, the frequencies of the DSPS are in the audio range. Therefore, during playback, only those portions of the tape were analyzed for which a clearly identiÞable pulsatile pitch (for arteries) or a monotonous, high-frequency pitch (for veins) could be heard [28]. The DSPS were obtained with a hardware spectrum analyzer, one pair at a time, and successively displayed on an oscilloscope screen. An examiner visually deter-
mined the Dfmax, one channel at a time, by moving a cursor along the frequency axis to the
frequency value where a sharp decline in the power spectral density and variance was identiÞable. Each estimate of Dfmax (mean and standard deviation) was based on 10Ð20 pairs of DSPS. Such a procedure was time-consuming, especially for retinal arteries, for which several Dfmax were measured at different phases of the heart cycle to obtain average Vmax during the heart cycle. In addition, masking of the examiner with respect to the type of patient and experimental protocol to eliminate possible bias was an additional time-consuming procedure.
132 |
C.E. Riva |
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Pi( f)
// Polarization |
Pi( f) |
// Polarization
Polarization
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Polarization |
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2.5 |
5.0 |
7.5 |
10.0 |
2.5 |
5.0 |
7.5 |
10.0 |
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f (KHz) |
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f (KHz) |
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Fig. 7.8 Left: DSPS obtained from a vein in the tapetal region of the cat retina. The tapetum is a highly light reßecting layer. For the upper DSPS, the scattered light was detected in the same plane of polarization (//) as the incident light. For the lower DSPS, these polarizations were perpendicular (//). Light transmitted through the blood is highly reßected and some of it retransmitted through the blood. This double transmission represents predominantly multiply scattered light. Right: DSPS from
a vein in the pigmented (highly absorbing) region of the fundus. Notice the disappearance of the spectral power when the polarization of the scattered light was perpendicular (^) to that of the incident light. For vessels above the pigment, only the light backscattered by the blood column reaches the detector. The light transmitted through this column is totally absorbed by the pigment behind the vessel (Adapted from Riva et al. [22] with permission from the Publisher)
Later, to automate the analysis, a computer algorithm to calculate Vmax based on the aforementioned rectangular shape model of the DSPS was implemented on a NeXT computer [29]. It includes data acquisition, eye blink rejection, power spectrum analysis, and display of the Vmax data and of its change during the heart cycle.
More recently, a digital signal processor (DSP)-based approach, which addresses the need for higher temporal resolution of Vmax, combined with blink rejection, was reported [30]. In brief, blink rejection is based on the fact that because the laser light is out of focus at the pupil plane, closing the lid scatters much less laser light back to the detector than does the fundus. This results in a markedly reduced DC value of the photocurrent. Whenever the DC value of the Doppler signal falls below a user-adjustable threshold, the
data is automatically excluded from further analysis and presentation.
7.2.9Instrumentation
A bidirectional retinal laser Doppler velocimeter (RLDV) consists basically of distinct optical systems with the functions of: (1) aiming a laser beam (red or near-infrared) at a main retinal vessel; (2) collecting and detecting some of the light scattered by the blood in the vessel along two directions of scattering;
(3) observing the eye fundus and the laser beam; and (4) providing a pinpoint fixation target to be observed by the eye being tested in order to precisely aim the laser at the desired site [13].
