Research Papers: Imaging

Evaluating anesthetic protocols for functional blood flow imaging in the rat eye

[+] Author Affiliations
Eric M. Moult, WooJhon Choi, James G. Fujimoto

Massachusetts Institute of Technology, Research Laboratory of Electronics, Department of Electrical Engineering and Computer Science, 50 Vassar Street, Cambridge 02139, United States

David A. Boas

Harvard Medical School, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, 13th Street, Charlestown 02129, United States

Bernhard Baumann

Massachusetts Institute of Technology, Research Laboratory of Electronics, Department of Electrical Engineering and Computer Science, 50 Vassar Street, Cambridge 02139, United States

Medical University of Vienna, Center for Medical Physics and Biomedical Engineering, Waehringer Guertel 18, Vienna 1090, Austria

Allen C. Clermont, Edward P. Feener

Joslin Diabetes Center, Research Division, One Joslin Place, Boston 02215, United States

J. Biomed. Opt. 22(1), 016005 (Jan 05, 2017). doi:10.1117/1.JBO.22.1.016005
History: Received September 14, 2016; Accepted December 15, 2016
Text Size: A A A

Open Access Open Access

Abstract.  The purpose of this study is to evaluate the suitability of five different anesthetic protocols (isoflurane, isoflurane–xylazine, pentobarbital, ketamine–xylazine, and ketamine–xylazine–vecuronium) for functional blood flow imaging in the rat eye. Total retinal blood flow was measured at a series of time points using an ultrahigh-speed Doppler OCT system. Additionally, each anesthetic protocol was qualitatively evaluated according to the following criteria: (1) time-stability of blood flow, (2) overall rate of blood flow, (3) ocular immobilization, and (4) simplicity. We observed that different anesthetic protocols produced markedly different blood flows. Different anesthetic protocols also varied with respect to the four evaluated criteria. These findings suggest that the choice of anesthetic protocol should be carefully considered when designing and interpreting functional blood flow studies in the rat eye.

Figures in this Article

Measurement of small animal ocular blood flow is of significant interest to the scientific and clinical research communities. This interest is attributable to the importance of ocular blood flow as a parameter in studies of ocular pathophysiology and its potential to serve as an early marker of a variety of ocular diseases, including age-related macular degeneration, diabetic retinopathy, and glaucoma. The importance of ocular blood flow has driven the development of multiple measurement technologies including retinal/dynamic vessel analysis,1 microsphere methods,24 laser Doppler-based velocimetry58 and flowmetry,911 laser speckle imaging,1113 magnetic resonance imaging (MRI),1416 color Doppler ultrasound imaging,1719 and optical coherence tomography (OCT).2031 En face Doppler OCT, the modality used in this study, is a noninvasive, OCT-based technique that measures the Doppler velocities in the en face plane. In contrast to traditional Doppler OCT, which uses individual cross-sectional images, en face Doppler OCT does not require determination of the Doppler angle. Instead, in en face Doppler OCT, total blood flow is obtained by segmenting the blood vessels and integrating Doppler velocities in the en face plane.26,28,32

Murine models are widely used to study the pathology of and develop treatments for ocular diseases. Anesthesia is a common requirement prior to small animal imaging, and it is well known within the neuroscience community that different anesthetics elicit different cerebral blood flows.3335 However, there have been relatively few studies examining the influence of anesthetic protocols on ocular blood flow in the rat. Muir and Duong14 compared the effects of isoflurane and ketamine–xylazine on ocular blood flow in the mouse eye. Using arterial spin labeling (ASL) MRI they found that ketamine–xylazine anesthesia (100  mg/kg ketamine and 10  mg/kg xylazine) had associated blood flow values that were 29% lower (0.88±0.22  mL/g/min versus 1.3±0.44  mL/g/min) in the retinal tissues (p<0.01) and 42% lower (4.3±1.9  mL/g/min versus 7.7±2.1  mL/g/min) in the choroidal tissues (p<0.01) compared to flows during isoflurane anesthesia (1.1%). In another study using ASL MRI, Li et al.15 measured total ocular blood flow in rats anesthetized under two different isoflurane dosages. Under 1.0% isoflurane anesthesia the basal blood flow was 6.3±1.0  mL/g/min, while under 1.5% isoflurane the basal blood flow was 9.3±2.7  mL/g/min. At the resolution used in that study, the reported MRI blood flow measurements were a weighted average of the blood flows in the choroid and retina.

The purpose of this study is to evaluate the suitability of different anesthetic protocols for functional blood flow imaging in the rat eye; in large part, this study was motivated by the desire to develop an anesthetic protocol allowing for repeatable, controlled blood flow measurements in longitudinal studies. Using an ultrahigh-speed en face Doppler OCT system, we quantitatively measure total retinal blood flow in male Sprague–Dawley rats anesthetized with the following protocols: (1) isoflurane; (2) isoflurane–xylazine, with xylazine delivered via intraperitoneal (IP) injection; (3) pentobarbital via IP injection; (4) ketamine–xylazine via IP injection; and (5) ketamine–xylazine in conjunction with vecuronium bromide (a paralytic agent), with all three agents delivered via continuous rate infusion (CRI). In addition to providing quantitative total retinal blood flow at a series of time points, we evaluate each protocol according to the following criteria: (1) time-stability of blood flow, (2) overall rate of blood flow and its potential interference with functional blood flow measurements, (3) ocular immobilization, and (4) simplicity.

Animal Preparation and Imaging Protocol

Male Sprague–Dawley rats (Charles River Laboratories), whose numbers and weights are described in Table 1, were used. The animals were kept in the Massachusetts Institute of Technology’s (MIT) Department of Comparative Medicine’s veterinary housing unit and were given water and food ad libitum. All procedures were approved by MIT’s Committee on Animal Care and abide with the National Institutes of Health guide for the care and use of laboratory animals.

Table Grahic Jump Location
Table 1Number and weight of rats by protocol.

Anesthetic dosages and routes of administration are summarized in Table 2. Dosages for ketamine–xylazine and pentobarbital, while close to surgical levels, were selected as such to minimize ocular motion. For the ketamine–xylazine–vecuronium regime, rats were anesthetized with 2% isoflurane prior to venous catheterization. Isoflurane was discontinued after the ketamine–xylazine CRI was initiated. After tracheal intubation was nonsurgically performed, ventilation was initiated followed with vecuronium CRI (in addition to ketamine–xylazine CRI). Note that immediately prior to the initiation of the ketamine–xylazine–vecuronium CRI, a bolus intravenous (IV) injection of vecuronium was administered. Finally, for all IP anesthetic protocols, so that time-transient behavior would be apparent, maintenance dosages were not delivered subsequent to the initial bolus injection.

Table Grahic Jump Location
Table 2Summary of the dosages and methods of delivery.

After anesthesia, rats were placed in a custom holder that allowed them to be securely manipulated during imaging. For each rat, Doppler OCT measurements were repeatedly acquired to create a time-series of blood flow values. Prior to each Doppler OCT measurement, the OCT beam was manually aligned on the animal’s eye to maximize signal strength. Throughout the procedure, the animal’s heart rate and blood oxygen saturation were measured with a pulse oximeter (Nonin) and blood pressure was measured using a tail cuff (Kent Scientific). Temperature was measured using a rectal probe and was maintained with an electronically controlled thermal blanket (Harvard Apparatus). Intraocular pressure was measured using a rebound tonometer (Icare, Finland) before each Doppler OCT acquisition. A mix of medical air and oxygen was provided as needed to keep blood oxygen saturation levels above 95%. For the ketamine–xylazine–vecuronium protocol, rats were ventilated using the Inspira Advanced Safety Ventilator (Harvard Apparatus).

OCT System and Data Acquisition

An ultrahigh-speed spectral domain OCT system was used to perform en face Doppler OCT measurements of total retinal blood flow. The same system is described by Choi et al.28 and, therefore, is only briefly summarized. The system uses a commercially available superluminescent diode (Superlum, SLD-371) with a full-width-at-half-maximum bandwidth of 55-nm and an 840-nm central wavelength. A line scan camera (Basler Sprint spL4096-140 km) with 832 illuminated pixels was used to achieve an imaging speed of 244,000 A-scans per second. The axial resolution and total imaging range, in tissue, were 5.7  μm and 1.5 mm, respectively. OCT power incident on the cornea was 2.5 mW, and the system sensitivity was 99 dB.

Total retinal blood flow was calculated using a technique described previously.28 In brief, a 200  μm×200  μm area centered at the optic nerve head was repeatedly scanned at a 83-Hz volume acquisition rate with 150 A-scans per B-scan, 25 B-scans per volume (scan duty cycle of 0.85%), and 100 repeated volumes per acquisition. Total retinal arterial blood flow was calculated by segmenting the central retinal artery and integrating the axial velocity in the en face plane, avoiding the need to measure Doppler angles. The volume acquisition rate used in this study was >10× faster than typical heart rates encountered in rats under anesthesia, which enabled accurate measurement of mean total retinal arterial blood flow by averaging retinal arterial blood flow over multiple cardiac cycles.

Subjective Evaluation of Anesthetic Protocols

Each anesthetic protocol was subjectively evaluated according to the following criteria: (1) time-stability of blood flow, (2) overall rate of blood flow, (3) immobilization of the eye, and (4) simplicity. Criterion (1) is intended to capture whether a given anesthetic protocol has a reasonable window of time, say 20 min, over which the blood flow values are reasonably constant, trending neither higher nor lower; the existence of such a time window is important for obtaining repeatable blood flow measurements. For criterion (2), while it would be ideal to discuss retinal blood flow rates relative to those seen in unanesthetized rats, to our knowledge such values have not been reported. Thus, for the purposes of this study, we describe the blood flow rate associated with a given anesthetic protocol relative to blood flow rates produced by the other tested anesthetic protocols: if a certain anesthetic protocol is associated with a higher blood flow rate than the others, we will refer to its blood flow values as “high.” We use the converse definition for “low” blood flow rates. Criterion (3) is intended to capture whether a given anesthetic protocol facilitates eye imaging by minimizing ocular motion: as discussed in subsequent sections, it is our experience that with certain anesthetic protocols the rat eye tends to “drift,” making it difficult to obtain good OCT beam alignment.

Table 3 summarizes the measured physiological parameters, separated according to anesthetic protocol. Figure 1 shows, for each of the tested anesthetic protocols, total retinal blood flow, heart rate, and mean blood pressure measurements as function of time. For a given anesthetic protocol, different style markers correspond to different rats. Not all rats have the same frequency of blood flow measurements, which is generally a reflection of the difficulty of sufficiently stabilizing the eye for imaging. Furthermore, due to the anesthetic agents’ half-lives, the time over which the measurements were obtained was shorter for the IP delivered protocols than for CRI and inhalation protocols. For some blood flow measurements, the blood pressure cuff failed to obtain measurements, and, consequently, not all blood flow measurements have associated blood pressure measurements. Furthermore, one rat imaged under ketamine–xylazine IP did not have IOP measurements due to the tonometer malfunctioning. Table 4 summarizes the qualitative evaluation of the different anesthetic protocol with respect to the criteria described in Sec. 2.3.

Table Grahic Jump Location
Table 3Summary of the measured physiological parameters.
Graphic Jump Location
Fig. 1
F1 :

Total retinal blood flow, heart rate, and mean blood pressure measurements as a function of time for the five tested anesthetic protocols. For a given anesthetic protocol, different style markers correspond to different rats. BPM, beats per minute; IP, intraperitoneal; CRI, continuous rate infusion.

Table Grahic Jump Location
Table 4Qualitative assessment of anesthetic protocols.

With reference to Fig. 1, the blood flow measurements for the isoflurane and isoflurane–xylazine anesthetic protocols were markedly higher than for the other three anesthetic protocols. This observation is consistent with MRI studies, as well as the fact that isoflurane is a known vasodilator.14,15 When using isoflurane alone, we found that eye motion made imaging challenging. The relative scarcity of measurements collected under isoflurane anesthesia is a reflection of this difficulty. While we found that IP injection of xylazine in conjunction with isoflurane significantly reduced eye motion, the vasodilatory effects of isoflurane may make it an unsuitable anesthetic for investigating neurovascular coupling where vessel dilation is coupled to the stimulus (as is the case with flicker light stimulus). Finally, note that neither isoflurane nor isoflurane–xylazine anesthesia showed strong time transients for blood flow, heart rate, or blood pressure.

Pentobarbital was found to yield reasonably time-invariant blood flows at rates lower than those observed when using isoflurane. However, heart rate and mean blood pressure under pentobarbital appear to show a relatively large variation in values, although no clear trend is observable. Finally, anesthesia using pentobarbital did not reduce eye motion, making imaging difficult. One potential solution to eye motion, not explored in this paper, is to combine pentobarbital with vecuronium.

The blood flow versus time plots measured with the ketamine–xylazine IP protocol exhibited a clear time-dependence, with blood flow and mean blood pressure decreasing with time and heart rate increasing with time. This time-dependence, presumably due to the IP bolus delivery, complicates the ability to acquire repeatable measurements among different animals. In a previous study examining ketamine–xylazine IP anesthesia (ketamine: 125  mg/kg and xylazine: 10  mg/kg) for adult rats (8- to 12-weeks old; 350 to 400 g), voluntary movement occurred 1.5  h after ketamine–xylazine injection and the half-life of both ketamine and xylazine was found to be 1.3  h.36 The time transients observed in our data are consistent with these findings. Another interesting finding from that same study is that ketamine and xylazine clearance was strongly reduced in older rats (2.0- to 2.4-years old; 0.8 to 1.1 kg): in old rats, the half-lives of ketamine and xylazine were found to be 8.5 and 13 h, respectively. This suggests that the time-dependencies observed in this study may change as a function of animal age.

Ketamine–xylazine–vecuronium anesthesia yielded low, relatively stable blood flows. CRI largely removed the time transients that were observed with ketamine–xylazine IP delivery, and heart rate and blood pressure were fairly constant in time. Although not included in this study, we have found that at the relatively low dose of ketamine–xylazine used in this anesthetic protocol (20  mg/kg/h ketamine and 2  mg/kg/hr xylazine), eye movement was too severe to perform OCT imaging. Rather than increasing the dose of ketamine–xylazine (as we did in the case of the ketamine–xylazine IP protocol), we chose to minimize eye motion by adding vecuronium while maintaining the minimal dose of ketamine–xylazine for anesthesia; this choice was made so as to minimally perturb blood flow. A drawback of the ketamine–xylazine–vecuronium protocol is the relative complexity associated with delivering multiple drugs intravenously as well as the need to intubate and ventilate the animal due to paralysis. These challenges are somewhat increased in longitudinal studies, which involve nonterminal procedures, and therefore require that animals be carefully weaned off of the paralytic. We believe, however, that the stability and ease-of-imaging may justify the complexity.

There are a number of important limitations to our study. Certain physiological parameters, including PO2, PCO2, blood glucose, and pH were not measured or controlled, in large part because measurement of these parameters requires direct arterial cannulation, which complicates the procedure, particularly in longitudinal studies. Lacking knowledge of these parameters means that it is possible that at times we were imaging in the hyperoxic/hypoxic and/or hypercapniac/hypocapniac regimes. Other parameters, such as blood pressure, were measured using techniques known to be less accurate than invasive methods (e.g., we measured blood pressure using a blood pressure cuff instead of via direct arterial cannulation). Furthermore, in our study, only rats anesthetized with ketamine–xylazine–vecuronium were ventilated, while ventilation could be used in conjunction with any of the tested anesthetic protocols. Because isoflurane is known to be a potent respiratory depressant, potentially inducing hypercapnia during spontaneous breathing, and because previous studies have shown that hypercapnia is associated with increased ocular blood flow due to vasodilation, the higher blood flows observed in rats anesthetized with isoflurane may be partially due to hypercapnia, which could be controlled in part by ventilation. While these limitations in monitoring and physiological control prevent us from ascribing the observed blood flow differences to the tested anesthetic agents, per se, they do not affect the goal of evaluating the effects of the different anesthetic protocols, taken as a whole. Moreover, a secondary aim of this study was to investigate anesthetic protocols commonly used in optical imaging of the small animal eye. This is especially true when our study is considered in the context of optical imaging studies of small animal retinal blood flow, where the above parameters are rarely measured or controlled. Another limitation of this study is that we did not test different drug dosages or consider all of the various methods of delivery. While such data would be informative, the number of animals needed to perform this analysis serves as a high barrier. Furthermore decreased dosages are likely to exacerbate ocular motion, making optical imaging difficult. Other limitations of the study include (1) that the protocols were evaluated using criteria that emphasized measurement precision rather than accuracy, which could lead to incorrect conclusions being reached when the results of this study are extended to disease models, and (2) that there was an absence of blood flow measurements from unanesthetized rats, which would have served as a baseline against with which the tested anesthetic protocols could be compared. Both of these limitations could be addressed in future studies by performing blood flow measurements using the microsphere method; this method has the distinct advantage that it can be performed in the absence of anesthesia. Despite these limitations, we believe that this study makes a useful contribution to the current functional blood flow imaging literature.

Measuring retinal blood flow in the small animal eye is important for studies of retinal disease pathogenesis and pharmaceutical development. However, anesthesia, which is a requirement for ocular imaging in small animals, may alter ocular blood flow. In this study, we used en face Doppler OCT to quantitatively investigate the influence of five different anesthetic protocols on total retinal blood flow in the rat. Additionally, each anesthetic protocol was qualitatively evaluated according to criteria relevant to functional blood flow imaging studies. We observed that different anesthetic protocols produced markedly different blood flows and that different anesthetic protocols varied with respect to the qualitative criteria. These findings suggest that the choice of anesthetic protocol should be carefully considered when designing and interpreting functional blood flow studies in the small animal eye.

Edward P. Feener is a cofounder and chief scientific officer of KalVista Pharmaceuticals Ltd.

This work was supported by grants from the National Institute of Health (NIH R01-EY011289-29, R44-EY022864, R01-CA075289-16) and the Air Force Office of Scientific Research (FA9550-15-1-0473 and FA9550-12-1-0499).

Garhofer  G.  et al., “Use of the retinal vessel analyzer in ocular blood flow research,” Acta Ophthalmol.. 88, (7 ), 717 –722 (2010).CrossRef
Weiter  J. J., , Schachar  R. A., and Ernest  J. T., “Control of intraocular blood flow: I. intraocular pressure,” Invest. Ophthalmol. Visual Sci.. 12, (5 ), 327  (1973). 0146-0404 
Wang  L.  et al., “Microspheres method for ocular blood flow measurement in rats: size and dose optimization,” Exp. Eye Res.. 84, (1 ), 108 –117 (2007). 0014-4835 CrossRef
Orgul  S.  et al., “Measurement of optic nerve blood flow with nonradioactive colored microspheres in rabbits,” Microvasc. Res.. 51, (2 ), 175 –186 (1996). 0026-2862 CrossRef
Riva  C., , Ross  B., and Benedek  G. B., “Laser Doppler measurements of blood flow in capillary tubes and retinal arteries,” Invest. Ophthalmol. Visual Sci.. 11, (11 ), 936 –934 (1972). 0146-0404 
Tanaka  T., , Riva  C., and Ben-Sira  I., “Blood velocity measurements in human retinal vessels,” Science. 186, (4166 ), 830 –831 (1974). 0036-8075 CrossRef
Pournaras  C., and Riva  C., “Retinal blood flow evaluation,” Ophthalmologica. 229, , 61 –74 (2013). 0030-3755 CrossRef
Riva  C.  et al., “Blood velocity and volumetric flow rate in human retinal vessels,” Invest. Ophthalmol. Visual Sci.. 26, (8 ), 1124  (1985). 0146-0404 
Bonner  R., and Nossal  R., “Model for laser Doppler measurements of blood flow in tissue,” Appl. Opt.. 20, , 2097 –2107 (1981). 0003-6935 CrossRef
Riva  C. E.  et al., “Laser Doppler flowmetry in the optic nerve,” Exp. Eye Res.. 55, (3 ), 499 –506 (1992). 0014-4835 CrossRef
Briers  J. D., and Fercher  A. F., “Retinal blood-flow visualization by means of laser speckle photography,” Invest. Ophthalmol. Visual Sci.. 22, (2 ), 255  (1982). 0146-0404 
Fercher  A. F., and Briers  J. D., “Flow visualization by means of single-exposure speckle photography,” Opt. Commun.. 37, (5 ), 326 –330 (1981). 0030-4018 CrossRef
Boas  D. A., and Dunn  A. K., “Laser speckle contrast imaging in biomedical optics,” J. Biomed. Opt.. 15, (1 ), 011109  (2010). 1083-3668 CrossRef
Muir  E. R., and Duong  T. Q., “MRI of retinal and choroidal blood flow with laminar resolution,” NMR Biomed.. 24, (2 ), 216 –223 (2011).CrossRef
Li  Y., , Cheng  H., and Duong  T. Q., “Blood-flow magnetic resonance imaging of the retina,” NeuroImage. 39, (4 ), 1744 –1751 (2011). 1053-8119 CrossRef
Peng  Q.  et al., “MRI of blood flow of the human retina,” Mag. Reson. Med.. 65, , 1768 –1775 (2011).CrossRef
Lieb  W. E.  et al., “Color Doppler imaging of the eye and orbit: technique and normal vascular anatomy,” Arch. Ophthalmol.. 109, , 527 –531 (2011). 0003-9950 CrossRef
Butt  Z.  et al., “Color Doppler imaging in untreated high- and normal-pressure open-angle glaucoma,” Invest. Ophthalmol. Visual Sci.. 38, , 690 –696 (1997). 0146-0404 
Ciulla  T. A.  et al., “Color Doppler imaging discloses reduced ocular blood flow velocities in nonexudative age-related macular degeneration,” Am. J. Ophthalmol.. 128, , 75 –80 (1999). 0002-9394 CrossRef
White  B. R.  et al., “In vivo dynamic human retinal blood flow imaging using ultra-high-speed spectral domain optical coherence tomography,” Opt. Express. 11, , 3490 –3497 (2003). 1094-4087 CrossRef
Izatt  J. A.  et al., “In vivo bidirectional color Doppler flow imaging of picoliter blood volumes using optical coherence tomography,” Opt. Lett.. 22, , 1439 –1441 (1997). 0146-9592 CrossRef
Leitgeb  R. A.  et al., “Real-time measurement of in vitro flow by Fourier-domain color Doppler optical coherence tomography,” Opt. Lett.. 29, , 171 –173 (2004). 0146-9592 CrossRef
Wang  Y.  et al., “In vivo total retinal blood flow measurement by Fourier domain Doppler optical coherence tomography,” J. Biomed. Opt.. 12, , 041215  (2007). 1083-3668 CrossRef
Makita  S., , Fabritius  T., and Yasuno  Y., “Quantitative retinal-blood flow measurement with three-dimensional vessel geometry determination using ultrahigh-resolution Doppler optical coherence angiography,” Opt. Lett.. 33, , 836 –838 (2008). 0146-9592 CrossRef
Wang  Y.  et al., “Measurement of total blood flow in the normal human retina using Doppler Fourier-domain optical coherence tomography,” Br. J. Ophthalmol.. 93, , 634 –637 (2009). 0007-1161 CrossRef
Baumann  B.  et al., “Total retinal blood flow measurement with ultrahigh speed swept source/Fourier domain OCT,” Biomed. Opt. Express. 2, , 1539 –1552 (2011). 2156-7085 CrossRef
Schmoll  T., , Kolbitsch  C., and Leitgeb  R. A., “Ultra-high-speed volumetric tomography of human retinal blood flow,” Opt. Express. 17, , 4166 –4176 (2009). 1094-4087 CrossRef
Choi  W.  et al., “Measurement of pulsatile total blood flow in the human and rat retina with ultrahigh speed spectral/Fourier domain OCT,” Biomed. Opt. Express. 3, , 1047 –1061 (2012). 2156-7085 CrossRef
Wang  Y.  et al., “Pilot study of optical coherence tomography measurement of retinal blood flow in retinal and optic nerve diseases,” Invest. Ophthalmol. Visual Sci.. 52, , 840 –845 (2011). 0146-0404 CrossRef
Zhi  Z.  et al., “Volumetric and quantitative imaging of retinal blood flow in rats with optical microangiography,” Biomed. Opt. Express. 2, , 579 –591 (2011). 2156-7085 CrossRef
Zhi  Z.  et al., “Optical microangiography of retina and choroid and measurement of total retinal bloodflow in mice,” Biomed. Opt. Express. 3, , 2976 –2986 (2012). 2156-7085 CrossRef
Srinivasan  V. J.  et al., “Quantitative cerebral blood flow with optical coherence tomography,” Biomed. Opt. Express. 18, , 2477 –2494 (2010). 2156-7085 CrossRef
Hendrich  K. S.  et al., “Cerebral perfusion during anesthesia with fentanyl, isoflurane, or pentobarbital in normal rats studied by arterial spin-labeled MRI,” Magn. Reson. Med.. 46, , 202 –206. (2001). 0740-3194 CrossRef
Langsjo  K. K. K. J. W.  et al., “Effects of subanesthetic doses of ketamine on regional cerebral blood flow, oxygen consumption, and blood volume in humans,” Anesthesiology. 99, , 614 –623 (2003). 0003-3022 CrossRef
Sicard  K.  et al., “Regional cerebral blood flow and BOLD responses in conscious and anesthetized rats under basal and hypercapnic conditions: implications for functional MRI studies,” J. Cerebral Blood Flow Metab.. 23, , 472 –481 (2003).CrossRef
Veilleux-Lemieux  D.  et al., “Pharmacokinetics of ketamine and xylazine in young and old Sprague-Dawley rats,” J. Am. Assoc. Lab. Anim. Sci.. 52, , 567 –570 (2013).
© The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

Citation

Eric M. Moult ; WooJhon Choi ; David A. Boas ; Bernhard Baumann ; Allen C. Clermont, et al.
"Evaluating anesthetic protocols for functional blood flow imaging in the rat eye", J. Biomed. Opt. 22(1), 016005 (Jan 05, 2017). ; http://dx.doi.org/10.1117/1.JBO.22.1.016005


Figures

Graphic Jump Location
Fig. 1
F1 :

Total retinal blood flow, heart rate, and mean blood pressure measurements as a function of time for the five tested anesthetic protocols. For a given anesthetic protocol, different style markers correspond to different rats. BPM, beats per minute; IP, intraperitoneal; CRI, continuous rate infusion.

Tables

Table Grahic Jump Location
Table 1Number and weight of rats by protocol.
Table Grahic Jump Location
Table 2Summary of the dosages and methods of delivery.
Table Grahic Jump Location
Table 3Summary of the measured physiological parameters.
Table Grahic Jump Location
Table 4Qualitative assessment of anesthetic protocols.

References

Garhofer  G.  et al., “Use of the retinal vessel analyzer in ocular blood flow research,” Acta Ophthalmol.. 88, (7 ), 717 –722 (2010).CrossRef
Weiter  J. J., , Schachar  R. A., and Ernest  J. T., “Control of intraocular blood flow: I. intraocular pressure,” Invest. Ophthalmol. Visual Sci.. 12, (5 ), 327  (1973). 0146-0404 
Wang  L.  et al., “Microspheres method for ocular blood flow measurement in rats: size and dose optimization,” Exp. Eye Res.. 84, (1 ), 108 –117 (2007). 0014-4835 CrossRef
Orgul  S.  et al., “Measurement of optic nerve blood flow with nonradioactive colored microspheres in rabbits,” Microvasc. Res.. 51, (2 ), 175 –186 (1996). 0026-2862 CrossRef
Riva  C., , Ross  B., and Benedek  G. B., “Laser Doppler measurements of blood flow in capillary tubes and retinal arteries,” Invest. Ophthalmol. Visual Sci.. 11, (11 ), 936 –934 (1972). 0146-0404 
Tanaka  T., , Riva  C., and Ben-Sira  I., “Blood velocity measurements in human retinal vessels,” Science. 186, (4166 ), 830 –831 (1974). 0036-8075 CrossRef
Pournaras  C., and Riva  C., “Retinal blood flow evaluation,” Ophthalmologica. 229, , 61 –74 (2013). 0030-3755 CrossRef
Riva  C.  et al., “Blood velocity and volumetric flow rate in human retinal vessels,” Invest. Ophthalmol. Visual Sci.. 26, (8 ), 1124  (1985). 0146-0404 
Bonner  R., and Nossal  R., “Model for laser Doppler measurements of blood flow in tissue,” Appl. Opt.. 20, , 2097 –2107 (1981). 0003-6935 CrossRef
Riva  C. E.  et al., “Laser Doppler flowmetry in the optic nerve,” Exp. Eye Res.. 55, (3 ), 499 –506 (1992). 0014-4835 CrossRef
Briers  J. D., and Fercher  A. F., “Retinal blood-flow visualization by means of laser speckle photography,” Invest. Ophthalmol. Visual Sci.. 22, (2 ), 255  (1982). 0146-0404 
Fercher  A. F., and Briers  J. D., “Flow visualization by means of single-exposure speckle photography,” Opt. Commun.. 37, (5 ), 326 –330 (1981). 0030-4018 CrossRef
Boas  D. A., and Dunn  A. K., “Laser speckle contrast imaging in biomedical optics,” J. Biomed. Opt.. 15, (1 ), 011109  (2010). 1083-3668 CrossRef
Muir  E. R., and Duong  T. Q., “MRI of retinal and choroidal blood flow with laminar resolution,” NMR Biomed.. 24, (2 ), 216 –223 (2011).CrossRef
Li  Y., , Cheng  H., and Duong  T. Q., “Blood-flow magnetic resonance imaging of the retina,” NeuroImage. 39, (4 ), 1744 –1751 (2011). 1053-8119 CrossRef
Peng  Q.  et al., “MRI of blood flow of the human retina,” Mag. Reson. Med.. 65, , 1768 –1775 (2011).CrossRef
Lieb  W. E.  et al., “Color Doppler imaging of the eye and orbit: technique and normal vascular anatomy,” Arch. Ophthalmol.. 109, , 527 –531 (2011). 0003-9950 CrossRef
Butt  Z.  et al., “Color Doppler imaging in untreated high- and normal-pressure open-angle glaucoma,” Invest. Ophthalmol. Visual Sci.. 38, , 690 –696 (1997). 0146-0404 
Ciulla  T. A.  et al., “Color Doppler imaging discloses reduced ocular blood flow velocities in nonexudative age-related macular degeneration,” Am. J. Ophthalmol.. 128, , 75 –80 (1999). 0002-9394 CrossRef
White  B. R.  et al., “In vivo dynamic human retinal blood flow imaging using ultra-high-speed spectral domain optical coherence tomography,” Opt. Express. 11, , 3490 –3497 (2003). 1094-4087 CrossRef
Izatt  J. A.  et al., “In vivo bidirectional color Doppler flow imaging of picoliter blood volumes using optical coherence tomography,” Opt. Lett.. 22, , 1439 –1441 (1997). 0146-9592 CrossRef
Leitgeb  R. A.  et al., “Real-time measurement of in vitro flow by Fourier-domain color Doppler optical coherence tomography,” Opt. Lett.. 29, , 171 –173 (2004). 0146-9592 CrossRef
Wang  Y.  et al., “In vivo total retinal blood flow measurement by Fourier domain Doppler optical coherence tomography,” J. Biomed. Opt.. 12, , 041215  (2007). 1083-3668 CrossRef
Makita  S., , Fabritius  T., and Yasuno  Y., “Quantitative retinal-blood flow measurement with three-dimensional vessel geometry determination using ultrahigh-resolution Doppler optical coherence angiography,” Opt. Lett.. 33, , 836 –838 (2008). 0146-9592 CrossRef
Wang  Y.  et al., “Measurement of total blood flow in the normal human retina using Doppler Fourier-domain optical coherence tomography,” Br. J. Ophthalmol.. 93, , 634 –637 (2009). 0007-1161 CrossRef
Baumann  B.  et al., “Total retinal blood flow measurement with ultrahigh speed swept source/Fourier domain OCT,” Biomed. Opt. Express. 2, , 1539 –1552 (2011). 2156-7085 CrossRef
Schmoll  T., , Kolbitsch  C., and Leitgeb  R. A., “Ultra-high-speed volumetric tomography of human retinal blood flow,” Opt. Express. 17, , 4166 –4176 (2009). 1094-4087 CrossRef
Choi  W.  et al., “Measurement of pulsatile total blood flow in the human and rat retina with ultrahigh speed spectral/Fourier domain OCT,” Biomed. Opt. Express. 3, , 1047 –1061 (2012). 2156-7085 CrossRef
Wang  Y.  et al., “Pilot study of optical coherence tomography measurement of retinal blood flow in retinal and optic nerve diseases,” Invest. Ophthalmol. Visual Sci.. 52, , 840 –845 (2011). 0146-0404 CrossRef
Zhi  Z.  et al., “Volumetric and quantitative imaging of retinal blood flow in rats with optical microangiography,” Biomed. Opt. Express. 2, , 579 –591 (2011). 2156-7085 CrossRef
Zhi  Z.  et al., “Optical microangiography of retina and choroid and measurement of total retinal bloodflow in mice,” Biomed. Opt. Express. 3, , 2976 –2986 (2012). 2156-7085 CrossRef
Srinivasan  V. J.  et al., “Quantitative cerebral blood flow with optical coherence tomography,” Biomed. Opt. Express. 18, , 2477 –2494 (2010). 2156-7085 CrossRef
Hendrich  K. S.  et al., “Cerebral perfusion during anesthesia with fentanyl, isoflurane, or pentobarbital in normal rats studied by arterial spin-labeled MRI,” Magn. Reson. Med.. 46, , 202 –206. (2001). 0740-3194 CrossRef
Langsjo  K. K. K. J. W.  et al., “Effects of subanesthetic doses of ketamine on regional cerebral blood flow, oxygen consumption, and blood volume in humans,” Anesthesiology. 99, , 614 –623 (2003). 0003-3022 CrossRef
Sicard  K.  et al., “Regional cerebral blood flow and BOLD responses in conscious and anesthetized rats under basal and hypercapnic conditions: implications for functional MRI studies,” J. Cerebral Blood Flow Metab.. 23, , 472 –481 (2003).CrossRef
Veilleux-Lemieux  D.  et al., “Pharmacokinetics of ketamine and xylazine in young and old Sprague-Dawley rats,” J. Am. Assoc. Lab. Anim. Sci.. 52, , 567 –570 (2013).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

PubMed Articles
Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.