- •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
166 |
G. Garhöfer and L. Schmetterer |
|
|
Fig. 9.7 Pulsatile inßow through the arteries and non-pulsatile outßow during the cardiac cycle. During systole ocular volume increases associated with an increase in intraocular pressure
Systole Diastole
Artery |
Vein |
pulsatile inflow |
non-pulsatile outflow |
As with most other techniques for noninvasive blood ßow assessment in humans, the quality of the readings is strongly dependent on clear ocular media. Furthermore, although the software can adjust for small eye movements, good Þxation abilities for the subject under study are needed. Thus, measurements in patients with poor central vision will result in greater variability. As with laser Doppler ßowmetry, the outcome variables are given in arbitrary units. Thus, it is difÞcult to directly compare the data obtained from different sites of measurements or from different subject eyes. Moreover, the technique provides velocity measurements only, although studies have shown that there is a high degree of correlation between measurements of NB and those obtained with hydrogen clearance [37] or the microsphere technique [38]. For measurements in the peripheral human retina, the relative contributions of the choroid and the retina cannot be separated. The use of a confocal system may potentially overcome this problem, but such a system has not yet been realized.
9.1.2Pulsatile Ocular Blood Flow
Another method for the assessment of ocular blood ßow is to measure the changes in ocular volume and pressure during the cardiac cycle. The widespread use of the Goldmann applanation tonometer allows the ophthalmologist to
easily observe the pulsatility of the IOP in daily practice and its variation depending on different physiological and pathological states. It was recognized early that differences in these pressure variations may occur in several ocular pathologies. The Þrst approach to quantify these changes in pulsatility of the IOP was introduced by Perkins [23]. The ocular pulse amplitude was measured using a Goldmann applanation tonometer. In particular, the tonometer tip was modiÞed and connected to a pressure transducer to allow for a continuous transmission of the ocular pulse, which in turn generated a pulse trace. Using these data, pulsatility was compared between the investigated eye and the fellow eye in order to identify carotid insufÞciency [23].
This technique was further developed by Langham and colleagues to assess the pulsatile choroidal blood ßow based on pneumotonometry. The basic principle of this technique is based on the observation that if a bolus of ßuid (as it happens during systole) enters the eye, the eye will expand (Fig. 9.7). Consequently, given the assumption that the eye is elastic and the ßuid is incompressible, the eye will increase by the volume of the bolus associated with an increase in IOP. When the bolus of ßuid leaves the eye again, this will in turn lead to a decrease in eye volume. Thus, if the relation between IOP change and volume change is known (as it is described by the Friedenwald equation), then pressure measurements can be transformed to blood ßow measurements [34].
9 Other Approaches |
167 |
|
|
Fig. 9.8 Photograph
of the pneumotonometer used for the measurement of pulsatile ocular blood ßow
Based on these considerations, the pneumotonometric OBF system has been introduced for the measurement of the pulsatile component of choroidal blood ßow. This instrument records the waveform of the ocular pulse amplitude over time. This commercially available blood ßow system (Paradigm Medical Industries, Inc., Salt Lake City, UT, Fig. 9.8) assesses changes in intraocular pressure, which are caused by the rhythmic Þlling of the intraocular vessels, with a pneumatic applanation tonometer as described above. Hereby, the maximum IOP change during the cardiac cycle is called pulse amplitude. Based on the pulse amplitude, the wave form, and the heart rate, the pulsatile component of choroidal blood ßow can be calculated.
These calculations are based on a theoretical model eye, which is dependent on several assumptions [34]. First, the measurement of the IOP and its variation over time need to be valid. Second, the relationship between volume and pressure in the eye is taken to be known so that changes in pressure can be converted into changes of volume. This means that the ocular rigidity, which is used to derive ocular volume changes from changes in IOP, is assumed to be equal for all subjects. Third, the hydrodynamic model is based upon the assumption that venous outßow from the eye is nonpulsatile.
An advantage of the pneumotonometric system is that pulsatile ocular blood ßow and IOP can be measured at the same time. It has been shown that the amplitude of the ocular pulse is inßuenced to a major extent by the axial length, and hence, the refraction of the eye [14]. This strong dependence of the pulse amplitude on the eye length can be explained by the differences in intraocular volume between smaller and larger eyes and is not necessarily related to reduced choroidal blood ßow or altered ocular rigidity in myopic subjects [3]. A major limitation of all pulsatile ocular blood ßow techniques is that only the pulsatile component of the choroidal circulation is assessed and no information on the steady component of ocular blood ßow is obtained. Estimates of the pulsatile component of ßow in comparison to total blood ßow in the choroid vary between approximately 80% and 50% [18, 19]. Another major limitation derives from the conversion of the IOP change over the cardiac cycle to volume changes over the cardiac cycle. As mentioned above, the ocular rigidity is assumed to be equal in all measured subjects. However, experimental evidence indicates that ocular rigidity may considerably vary among subjects [6]. In diseases like age-related macular degeneration [8] and glaucoma [12], evidence has accumulated that sclera stiffness is increased.
168 |
G. Garhöfer and L. Schmetterer |
|
|
Fundus pulsation amplitude
Diastole
Systole
Fig. 9.9 Schematic drawing showing the pathways of light for the measurement of ocular fundus pulsations. The eye is illuminated by a parallel laser beam. The light is reßected at both the front side of the cornea (spherical wave) and the retina (plane wave). The waves form interference fringes
9.1.2.1 Laser Interferometry
Information regarding pulsatile choroidal blood ßow can also be obtained by measuring distance changes between cornea and retina during the cardiac cycle [32, 33]. Given that the cornealretinal distance changes with the periodic Þlling of the intraocular vessels, the distance change between cornea and retina contains information of the pulsatile component of choroidal blood ßow. The ocular volume increases when the arterial inßow exceeds venous outßow during systole. This increase can be mainly attributed to choroidal swelling during systole and leads to a reduction of the distance between cornea and retina. This phenomenon is called ocular fundus pulsation, and the maximum distance change during the cardiac cycle is named fundus pulsation amplitude (FPA).
Technically, the eye is illuminated by the parallel beam of a single mode laser diode with a wavelength of 783 nm. This laser light with a high temporal and spatial coherence is then reßected by both the front side of the cornea and the ocular fundus. The wave reßected at the front side of the cornea is spherical, whereas the wave reßected from the retina is plane (Fig. 9.9). Hence, the two waves produce nonlocalized circular interference fringes, which is then subject of further analysis. The path difference between the two waves is twice the optical length of the eye. The interferences produced from the two reemitted waves are detected via a CCD
camera, placed in the center of the interference fringes. Each readout is then plotted along the time axis. Based on these so-called synthetic interferograms, the distance changes between cornea and retina can be evaluated by simply counting the fringes moving inward and outward during the cardiac cycle.
The beam focus on the retina has a diameter of approximately 50Ð100 mm. The reßection from the posterior segment most likely occurs from the retinal pigment epithelium or BruchÕs membrane [7]. Only the interferogram resulting from the strongest reßection of the posterior pole is visible. Whereas other interferogram systems may also arise from other retinal interfaces, they are not visible because of the low intensities. The main reßection from the cornea occurs at the front site of the tear Þlm [11].
The system comprises a fundus camera, allowing for the real-time inspection of the ocular fundus (Fig. 9.10). Thus, measurements can be performed in predeÞned areas of the ocular fundus. However, given that the two reßected laser beams have to be superimposed, measurements are restricted to an area approximately 25¡ around the macula. In practice, measurements of FPA have been performed in the macular region and in the region of the optic nerve head. FPA in the macula is in the order of 4 mm in healthy young subjects, whereas in the optic nerve head region, FPA reaches up to 10 mm [32]. The higher FPA in the optic nerve head has been explained by the increased elastic properties in the optic nerve head region of the eye [30]. In the peripheral retina, FPA is slightly lower than in the macula [32].
Several studies indicate that FPA measurements provide high reproducibility and sensitivity in healthy subjects as well as in patients [25, 31, 33]. However, given that currently no gold standard exists regarding the measurement of choroidal blood ßow, estimation of validity of the method is more difÞcult. Studies comparing laser interferometric measurements with pneumotonic measurement of pulsatile ocular blood ßow reveal a strong correlation between FPA and POBF, indicating that FPA is a valid index of pulsatile choroidal blood ßow in humans [30].
