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A novel fluorescent cardiac imaging system for preclinical intraoperative angiography

Abstract

Background

Intraoperative coronary angiography can tremendously reduce early coronary bypass graft failures. Fluorescent cardiac imaging provides an advanced method for intraoperative observation and real-time quantitation of blood flow with high resolution.

Methods

We devised a system comprised of an LED light source, special filters, lenses and a detector for preclinical coronary artery angiography. The optical setup was implemented by using two achromatic doublet lenses, two positive meniscus lenses, a band-pass filter, a pinhole and a CCD sensor. The setup was optimized by Zemax software. Optical design was further challenged to obtain more parallel light beams, less diffusion and higher resolutions to levels as small as arterioles. Ex vivo rat hearts were prepared and coronary arteries were retrogradely perfused by indocyanine green (ICG). Video angiography was employed to assess blood flow and plot time-dependent fluorescence intensity curve (TIC). Quantitation of blood flow was performed by calculating either the gradient of TIC or area under curve. The correlation between blood flow and each calculated parameters was assessed and used to evaluate the quality of flow.

Results

High-resolution images of flow in coronary arteries were obtained as precise as 62 µm vessel diameter, by our custom-made ICG angiography system. The gradient of TIC was 3.4–6.3 s−1, while the area under curve indicated 712–1282 s values which ultimately gained correlation coefficients of 0.9938 and 0.9951 with relative blood flow, respectively.

Conclusion

The present ICG angiography system may facilitate evaluation of blood flow in animal studies of myocardial infarction and coronary artery grafts intraoperatively.

Peer Review reports

Background

Novel intraoperative coronary angiography technology based on fluorescent cardiac imaging (FCI) aims to resolve the technical short comes of conventional techniques. Among conventional systems, thermal coronary angiography reported to provide low resolution especially in depth, in addition to dependency on expert-based analysis. Moreover, ultrasound transit-time flow measurement (TTFM) shows lack of visualization and quantification, is operator-dependent, and exerts low resolutions over high-frequency epicardial echocardiography [1,2,3]. Graft failures after coronary artery bypass grafting (CABG) mostly occur due to the quality of the target vessel, insufficient flow in the bypass conduit as a result of inability to compete the native coronary arteries, as well as potential technical failures during surgery [4, 5]. Thus, an intraoperative real-time visualization system with high resolution and automaticity which is user-independent and possesses quantitation properties, would greatly influence the success of surgery. FCI offers a non-invasive, high-resolution and quantitative system for coronary vessel visualization, and intraoperative assessment of bypass grafts and myocardial perfusion [6,7,8]. However, FCI has not yet replaced conventional techniques due to some technical limitations such as the insufficient penetration depth of laser beam, influence of adjacent tissues on FCI efficacy and lack of suitable quantification [7, 9]. Detter and colleagues could successfully enhance FCI efficacy by combining quantitative assessments of myocardial perfusion and FCI imaging for evaluation of graded coronary stenoses, thus indirectly identifying the bypass graft success [8]. Furthermore, they developed a quantitative system for validation of FCI by differentiating between flow-limiting and non-flow limiting coronary stenosis, to indirectly predict the success rate of bypass surgery [10]. Yamamoto and colleagues introduced blood flow as a measure of coronary bypass stenosis by analyzing indocyanine green (ICG) intensity within the coronary graft [11]. We also developed an FCI system for visualization and assessment of coronary artery blood flow in preclinical models, as a basis for development of intraoperative coronary angiography; our compact design included four-lenses, a band-pass filter and a detector, and resulted in high-resolution imaging of coronary artery flow. Furthermore, our in-house built FCI system employed LED as the light source which replaced the laser pulses used in other systems. The LED light was paralleled using a collimation lens for homogenized lightening of the sample. This FCI could successfully image coronary artery flow in ex vivo rat hearts. Furthermore, a high correlation between relative blood flow and time-dependent fluorescence intensity curve-associated parameters, was obtained.

Methods

Design, implementation and optimization of FCI.

Mechanical apparatus

The lenses, aperture, filters and CCD camera were housed in a custom-made 3D printed polydimethylsiloxane (PDMS) cage (Fig. 1a and b). The cage was vertically held by an articulating arm. The light-emitting diode (LED) was positioned by another articulating arm with a specific angle toward the specimen.

Fig. 1
figure 1

The design of fluorescent cardiac imaging (FCI) system. a Optical structure of the customized FCI system. a: meniscus lens with 100 mm focal length, b: achromatic doublet lens with 45 mm focal length c: diaphragm aperture d: achromatic doublet lens with 60 mm focal length e: meniscus lens with 100 mm focal length. b The image of final FCI device and its application during experiments. f: CCD camera, g: LED

Excitation/emission array

For near infrared (NIR) fluorescence excitation over the specimen, we used a mounted LED (M780L3, THORLABS, Newton, NJ) with specifications of IR color, peak wavelength at 780 nm with full-width at half-maximum (FWHM) of 28 nm and LED Output Power of 300 mW. LED was chosen over NIR lasers for two reasons of safety and cost. Based on our design, a light source with 4 mW/cm2 over a 2 cm diameter field of view (FOV), was required which necessitated higher safety regulations for personnel such as interlocked power. It is noteworthy that (1) the cost of a particular laser with such specifications would be much higher compared to a mounted LED; and (2) it does not generate a diffuse illumination over the specimen as LED does. We optimized the angle of incidence using Fresnel equations to reduce surface reflection and maximize transmission of light to enhance efficiency. Furthermore, we used an 18.4 mm aspherical lens (354280C, THORLABS, Newton, NJ) with anti-reflection coating (ARC) for the 650 nm to 1050 nm range, to provide a uniform illumination (Fig. 1b). In order to achieve the highest resolution and the least aberration, the minimum number of lenses was used. Two lenses (LE1234, THORLABS, Newton, NJ) were meniscus with 100 mm focal length and the other two were achromatic doublet (AC254-045-B/AC254-060-B, THORLABS, Newton, NJ), one with 45 mm and the other with 60 mm focal length. All four lenses had ARC for the 650 nm to 1050 nm wavelength range, thus they had 98% NIR transmission. A band-pass filter (FF01-832137-25, Semrock, USA) was used to block the excitation light and transmit the emission wavelength of ICG, with central wavelength of 832 nm and FWHM of 45.4 nm. We used an NIR fluorescence CCD camera (Watec, WAT-120N + (CCIR)) with adequate quantum efficiency at 800 nm (~ 30%) and dynamic range higher than 52 dB at 795 × 596 resolution, which was positioned over the heart in PDMS cage at a distance of 110 mm (Fig. 1b). However, the distance was calibrated for each measurement. Despite moderate quantum efficiency, this camera could achieve considerable performance.

Modulation transfer function (MTF)

MTF was assessed using USAF 1951 (R1DS1P, THORLABS, Newton, NJ). Briefly, USAF1951 resolution target was imaged at the working distance of FCI system. The image was analyzed using a custom-made MATLAB software (R2016a, v9.0, https://www.mathworks.com/products/matlab.html) macro to identify MTF. MTF was then plotted against spatial frequency.

Data processing

Online recording of FCI sequences was performed for 60 s at a rate of 25 frames per second and real-timely digitized using honestech TVR 2 (Honestech, US, https://honestech-tvr.apponic.com/). Furthermore, an image was captured at the end of ICG perfusion for further assessments. The image was pre-processed using ImageJ (Java 1.8.0_112, https://imagej.nih.gov/ij/index.html) for contrast enhancement.

For quantitative assessment of ICG video angiography, background-subtracted peak fluorescence intensity (BSFI) was calculated using MATLAB software as previously described [8]. Briefly, the background intensity was subtracted from the peak fluorescence intensity during the first flow of the dye through the vessel for a region of 10*10 pixels as the region of interest (ROI) (Fig. 2a) and all calculated BSFIs for consecutive frames were plotted against time to produce time-dependent fluorescence intensity curve (TIC). TIC was used to extract parameters such as peak intensity (PI), arrival time (AT), time to peak (TTP), blood volume (BV) and gradient (G) which represent the perfusion status. Peak intensity was considered the maximum fluorescence intensity during ICG video angiography. Arrival time was the duration between ICG perfusion and ICG intensity at 5% of PI. Time to peak was the duration between ICG 5% and PI, and BV was calculated by integration of intensity between AT and the endpoint of first flow. G was the positive slope of TIC curve (Fig. 2b).

Fig. 2
figure 2

Quantitation of video angiography. a Six ROIs which were randomly selected at various levels of coronary circulation. Scale bar: 1 mm. b Time-dependent fluorescence intensity curve (TIC) showing intensity dynamics over the time. TIC was used to extract parameters such as peak intensity (PI), arrival time (AT), time to peak (TTP), blood volume (BV) and gradient (G) which represent the perfusion status

Fluorescence angiography of acellular rat heart

Adult male Wistar rats (200–250 g) were used in this study. All animal studies were performed in accordance with guidelines approved by the Ethics Committee of Royan Institute in conformity with the NIH Guide for the Care and Use of Laboratory Animals. Rats were anesthetized by intraperitoneal injection of 100 mg/kg ketamine and 10 mg/kg xylazine. After systemic heparinization through the tail vein, the ascending aorta was dissected and cannulated with a blunted 20-gauge needle to allow retrograde coronary perfusion. The cannulated heart was kept at − 80 °C for 16 h to facilitate cell lysis. Before decellularization, frozen hearts were thawed at room temperature for 30 min and connected to a perfusion peristaltic pump (Rainin, Dynamax). Decellularization was carried out according to Lu et al. with some modifications [12]. Briefly, hearts were perfused with deionized water for 10 min at 1.5 ml/min; then, perfused twice with phosphate-buffered saline (PBS) (25 min each time), 0.02% trypsin/0.05% ethylenediaminetetraacetic acid (EDTA, Gibco) solution for 30 min, 1% sodium dodecyl sulfate (SDS, Sigma) solution for 10 h, and 3% Triton X-100 solution (Sigma) for 10 min, followed by a perfusion with PBS at room temperature. Disinfection was carried out by perfusion of 0.1% peracetic acid (Merck) and 4% ethanol for 10 min. The acid was neutralized and samples were rinsed using PBS (pH 7.4) and deionized water two times overnight. Decellularized hearts were immediately used or stored in PBS at 4 °C for future applications. ICG (VERDYE, Diagnostic Green, Germany) was prepared at the concentration of 0.2 mM and perfused retrogradely through an aortic cannula attached to a peristaltic pump (Rainin, Dynamax) with corresponding circuitry, for 1 min at 1.5 ml/min. Video angiography was performed using FCI system. Fluorescent angiography of ex vivo rat heart was performed using the same procedure as explained above, without acellularization. Briefly, after anesthesia induction and thoracotomy, the ascending aorta was dissected and cannulated, and perfused retrogradely by PBS for initial washing of the coronary arteries, followed by ICG perfusion and video angiography by FCI system. The coronary artery occlusion was induced by stopping peristaltic pump for a few seconds and restarting it. As a result, an air bubble entered the circuit and subsequently the coronary circulation. Thus, ICG perfusion was blocked from the point of air bubble occlusion.

Results

Aspherical lens uniformed the incident light

In our in-house built FCI system, we used an aspherical lens in order to achieve uniform illumination. To evaluate the efficacy of the lens in uniform lightening, Images were captured at both aspherical lens inclusion and off-lens states. Figure 3a and b display representative images at lens-on and lens-off states where application of aspherical lens resulted in a homogenous light all over FOV. The quantification showed a substantial reduction in light intensity profile changes, where lens-off resulted in 20% intensity differences while lens-on led to a 4% change. Thus, employing aspherical lens improved light uniformity by fivefold.

Fig. 3
figure 3

Optimization of optical setup. a Non uniform and b uniform light which emitted with and without aspherical lens in front of LED light. c Final design of optical components that were achieved by Zemax software. a: LED, b: meniscus lens with 100 mm focal length, c: achromatic doublet lens with 45 mm focal length d: achromatic doublet lens with 60 mm focal length e: meniscus lens with 100 mm focal length

Inspired by Zeiss Planar lens, two positive meniscus lenses were setup to minimize spherical aberration. Furthermore, two achromatic doublet lenses were placed between the meniscus lenses to eliminate chromatic aberration. In addition, the distance between lenses and the apparatus diameter was determined using Zemax software (OpticStudio 18.4.1, https://my.zemax.com) (Fig. 3c).

FCI system was optimized for rat coronary angiography by MTF analysis

To evaluate the resolution of optical system for ICG video angiography of rat hearts with low-diameter microvasculature, MTF of FCI was plotted using USAF 1951 (Fig. 4a). As depicted in Fig. 4b, cut-off frequency was achieved at 30 line pairs per mm (lp/mm). Maximum MTF was obtained at the image plane that corresponded to a sharp image quality and a high spatial resolution of 16 lp/mm (62.5 µm). This resolution is sufficient for video angiography of rat hearts where mean diameter of coronary arteries at the septal branch of left anterior descending coronary artery (LAD), is around 100 µm and the minimum identified diameter of coronary arteries was reported to be about 50 µm [13, 14].

Fig. 4
figure 4

Evaluation of MTF. a USAF 1951 target used for plotting MTF and b MTF of fluorescent cardiac imaging system. The 50% MTF frequency (ƒ50) is about 16 lp/mm

FCI system could successfully visualize microvasculature and coronary flow

Ex vivo rat hearts were subjected to video imaging by using our FCI system. Prior to ICG perfusion, a background image was captured. With the onset of ICG perfusion, video angiography was started and continued until full perfusion of coronary circulation (Additional file 2: Supplementary movie 1). FCI system could visualize LAD and septal branches as well as small coronary arteries (Fig. 5a). Furthermore, in the instance of coronary occlusion in one ex vivo heart, ICG was perfused in myocardium (Fig. 5b) and video angiography with FCI system identified the non-perfused region where the flow was blocked (Fig. 5c). Relative coronary arteries’ flow was indirectly identified by assessing luminance intensity through the vessel. Furthermore, six ROIs were randomly selected at various levels of coronary circulation (Fig. 2a) and their corresponding TICs were plotted (Additional file 1: Fig S1). Table 1 represents the parameters calculated using TIC and their correlation with relative blood flow in which showed an > 99% correlation with both gradient and blood volume (Fig. 5d and e), confirming the applicability of FCI system for preclinical animal angiography studies.

Fig. 5
figure 5

Application of FCI system for video angiography in ex vivo rat hearts. a Image of LAD and septal branches captured by FCI system. b Image of ICG perfusion in myocardium. White arrows show blood vessels. c FCI system identified the non-perfused region where the ICG flow was blocked. Scale bar: 2 mm. d and e The correlation plots for relative blood flow with either gradient or blood volume. The experiment was repeated 4 times for acellular and 3 times for whole rat heart

Table 1 Arrival time (AT), time to peak (TTP), gradient (G) and blood volume (BV) calculated from TICs of six ROIs

Discussion

Cardiovascular diseases (CVD) impose tremendous burden on health system due to the vital role of the cardiovascular system in terms of blood pumping and circulation [15]. Animal models have greatly enhanced our understanding of CVD mechanisms and helped in development of related therapies [16]. Accordingly, establishment of disease models and corresponding assessments require development of efficient preclinical tools and devices. Furthermore, most of new drugs, therapies and devices are examined before any clinical applications [17]. Intraoperative angiography has been always a desired tool for surgeries dealing with vascular grafts specifically coronary bypass grafts, due to complications of these surgeries, where it could greatly help in more successful operations and avoiding re-operations [18]. In this regard, optical imaging based on fluorescent dyes has been also examined for its efficacy and applicability. We designed an FCI system for preclinical intraoperative angiography in rodents. This system used LED as the excitation light source in contrast to previously applied high laser powers. Furthermore, it could provide high-resolution angiography of coronary arteries in small animal models by employing an appropriate optical design which benefitted from a collimation lens for homogenizing the excitation light.

Excitation of ICG by monochromatic LED could solve the unnecessary application of the wide light spectra, because it specifically provides the corresponding excitation spectrum for a particular fluorescent molecule [19]. Thus, light emitting diode could play a significant role in development of novel biomedical optical devices, since it avoids multiple excitation filters used for blocking unnecessary spectra and possesses high luminous efficacy, lower cost and energy expenditure [20]. PDE-NEO II represents one of such devices where LED is employed for intraoperative angiography and could satisfy the expectations of clinic in several applications including lymphography [21], hepatoblastoma [22] and supraclavicular flaps [23]. Yamamoto et al. also used a HyperEye medical system (HEMS) based on NIR LED light for assessment of CABG procedure [24]. In addition to inclusion of NIR LED, we designed 45-degree angle for light source to minimize the reflection from target tissue and maximize the transmitted light, based on Fresnel equations.

ICG angiography system has been regarded as a new successful era in vascular imaging, however suffered from limitations of determining the degree of occlusion in the instances of thrombosis or degree of stenosis in CABG [6, 25]. Detter et al. surveyed the quantitation of ICG video angiography and determined two key parameters namely, background-subtracted peak fluorescence intensity (BSFI) and slope of fluorescence intensity (SFI). BSFI and SFI could very well determine myocardial perfusion, a parameter appeared to correlate well with the severity of coronary artery stenosis [8]. In continuum, they introduced quantitative intraoperative fluorescence intensity (QIFI) as a function of time-intensity curves (TICs) which could indirectly determine the quality of bypass graft with respect to all degrees of bypass stenoses [26]. Moreover, Yamamoto et al. employed the TICs rise and average acceleration values to evaluate the blood flow and thus graft patency as an output of HEMS, however lower grades of stenosis could not be determined [11]. We also measured the luminance intensity through coronary artery as a representative of blood flow. Initially, we calculated the area under TIC curve which could represent blood volume as described by Kamada et al., as well as gradient of TIC curve from 5% of ICG intensity to peak intensity [27, 28]. Blood flow is a function of vascular resistance where the resistance is inversely proportional to vessel’s radiuses [29]. Therefore, we used the relative vessel radius obtained by assessing fluorescence intensity, as a representative of blood flow and plotted it against blood volume and gradient to assess the degree of correlation. As our findings indicated > 99% correlation, TIC-calculated parameters can be used to quantitatively evaluate the blood flow. Although we could not establish a graded occlusion model in ex vivo rat heart, our results might suggest a novel approach for evaluation of the bypass grafts’ patency.

Conclusion

We designed a preclinical ICG angiography system which might facilitate establishment and evaluations of animal models of cardiovascular diseases such as myocardial infarction and coronary artery grafts. Intraoperative ICG angiography could be also used for animal models dealing with vascular complications.

Availability of data and materials

All data generated or analyzed during this study are included in this published article [and its supplementary information file].

References

  1. Ward HB, Kelly RF, Weir EK. Assessment of graft patency during coronary artery bypass graft surgery: mitigating the risk. JACC Cardiovasc Imaging. 2009;2(5):613–5.

    Article  Google Scholar 

  2. Balacumaraswami L, Abu-Omar Y, Choudhary B, Pigott D, Taggart DP. A comparison of transit-time flowmetry and intraoperative fluorescence imaging for assessing coronary artery bypass graft patency. J Thorac Cardiovasc Surg. 2005;130(2):315–20.

    Article  Google Scholar 

  3. Hol PK, Fosse E, Mork BE, Lundblad R, Rein KA, Lingaas PS, et al. Graft control by transit time flow measurement and intraoperative angiography in coronary artery bypass surgery. Heart Surg Forum. 2001;4(3):254–7; discussion 7–8.

  4. Leacche M, Balaguer JM, Byrne JG. Intraoperative grafts assessment. Semin Thorac Cardiovasc Surg. 2009;21(3):207–12.

    Article  Google Scholar 

  5. Mack MJ. Intraoperative coronary graft assessment. Curr Opin Cardiol. 2008;23(6):568–72.

    Article  Google Scholar 

  6. Taggart DP, Choudhary B, Anastasiadis K, Abu-Omar Y, Balacumaraswami L, Pigott DW. Preliminary experience with a novel intraoperative fluorescence imaging technique to evaluate the patency of bypass grafts in total arterial revascularization. Ann Thorac Surg. 2003;75(3):870–3.

    Article  Google Scholar 

  7. Detter C, Russ D, Iffland A, Wipper S, Schurr MO, Reichenspurner H, et al. Near-infrared fluorescence coronary angiography: a new noninvasive technology for intraoperative graft patency control. Heart Surg Forum. 2002;5(4):364–9.

    PubMed  Google Scholar 

  8. Detter C, Wipper S, Russ D, Iffland A, Burdorf L, Thein E, et al. Fluorescent cardiac imaging: a novel intraoperative method for quantitative assessment of myocardial perfusion during graded coronary artery stenosis. Circulation. 2007;116(9):1007–14.

    Article  Google Scholar 

  9. Reuthebuch O, Haussler A, Genoni M, Tavakoli R, Odavic D, Kadner A, et al. Novadaq SPY: intraoperative quality assessment in off-pump coronary artery bypass grafting. Chest. 2004;125(2):418–24.

    Article  Google Scholar 

  10. Wipper S, Reiter B, Russ D, Hahnel F, Kersten JF, Kolbel T, et al. Distinction of non-ischemia inducing versus ischemia inducing coronary stenosis by fluorescent cardiac imaging. Int J Cardiovasc Imaging. 2016;32(2):363–71.

    Article  Google Scholar 

  11. Yamamoto M, Nishimori H, Handa T, Fukutomi T, Kihara K, Tashiro M, et al. Quantitative assessment technique of HyperEye medical system angiography for coronary artery bypass grafting. Surg Today. 2017;47(2):210–7.

    Article  Google Scholar 

  12. Lu TY, Lin B, Kim J, Sullivan M, Tobita K, Salama G, et al. Repopulation of decellularized mouse heart with human induced pluripotent stem cell-derived cardiovascular progenitor cells. Nat Commun. 2013;4:2307.

    Article  Google Scholar 

  13. Matsushita S, Hyodo K, Akishima S, Sato F, Imazuru T, Noma M, et al. Coronary angiography in rats using synchrotron radiation. Nucl Instrum Methods Phys Res, Sect A. 2005;548(1–2):94–8.

    Article  CAS  Google Scholar 

  14. Sakamoto H, Matsushita S, Hyodo K, Tokunaga C, Sato F, Hiramatsu Y. Synchrotron radiation coronary microangiography for evaluating changes in the caliber of the in vivo rat coronary artery after endothelin administration. Circulation. 2014;130(suppl_2):A12503-A.

  15. Silverio A, Cavallo P, De Rosa R, Galasso G. Big Health Data and cardiovascular diseases: a challenge for research, an opportunity for clinical care. Front Med (Lausanne). 2019;6:36.

    Article  Google Scholar 

  16. Bergmeister H, Hamza O, Kiss A, Nagel F, Pilz PM, Plasenzotti R, et al. Animal models in cardiovascular biology. Fundamentals of Vascular Biology. New York: Springer; 2019. p. 271–91.

    Book  Google Scholar 

  17. Walford GA, Stoch SA. Transitioning from preclinical to clinical drug development. Translational research methods in diabetes, obesity, and nonalcoholic fatty liver disease. Springer, New York; 2019. p. 467–86.

  18. Koch M, Ntziachristos V. Advancing surgical vision with fluorescence imaging. Annu Rev Med. 2016;67:153–64.

    Article  CAS  Google Scholar 

  19. Kuo T-C, Ding T-J, Lin J-H, Ma S-H. Optical design of an LED lighting source for fluorescence microscopes. Appl Sci. 2019;9(21):4574.

    Article  CAS  Google Scholar 

  20. Alander JT, Kaartinen I, Laakso A, Patila T, Spillmann T, Tuchin VV, et al. A review of indocyanine green fluorescent imaging in surgery. Int J Biomed Imaging. 2012;2012:940585.

    Article  Google Scholar 

  21. Unno N, Inuzuka K, Suzuki M, Yamamoto N, Sagara D, Nishiyama M, et al. Preliminary experience with a novel fluorescence lymphography using indocyanine green in patients with secondary lymphedema. J Vasc Surg. 2007;45(5):1016–21.

    Article  Google Scholar 

  22. Yamada Y, Ohno M, Fujino A, Kanamori Y, Irie R, Yoshioka T, et al. Fluorescence-guided surgery for hepatoblastoma with indocyanine green. Cancers (Basel). 2019;11(8).

  23. Suzuki Y, Shimizu Y, Kasai S, Yamazaki S, Takemaru M, Kitamura T, et al. Indocyanine green fluorescence videoangiography for reliable variations of supraclavicular artery flaps. Arch Plast Surg. 2019;46(4):318–23.

    Article  Google Scholar 

  24. Yamamoto M, Orihashi K, Nishimori H, Handa T, Kondo N, Fukutomi T, et al. Efficacy of intraoperative HyperEye Medical System angiography for coronary artery bypass grafting. Surg Today. 2015;45(8):966–72.

    Article  Google Scholar 

  25. Desai ND, Miwa S, Kodama D, Cohen G, Christakis GT, Goldman BS, et al. Improving the quality of coronary bypass surgery with intraoperative angiography: validation of a new technique. J Am Coll Cardiol. 2005;46(8):1521–5.

    Article  Google Scholar 

  26. Detter C, Russ D, Kersten JF, Reichenspurner H, Wipper S. Qualitative angiographic and quantitative myocardial perfusion assessment using fluorescent cardiac imaging during graded coronary artery bypass stenosis. Int J Cardiovasc Imaging. 2018;34(2):159–67.

    Article  Google Scholar 

  27. Kamada K, Ogawa H, Saito M, Tamura Y, Anei R, Kapeller C, et al. Novel techniques of real-time blood flow and functional mapping: technical note. Neurol Med Chir (Tokyo). 2014;54(10):775–85.

    Article  Google Scholar 

  28. Saito M, Saga T, Hayashi H, Noro S, Wada H, Kamada K. Quantitative blood flow assessment by multiparameter analysis of indocyanine green video angiography. World Neurosurg. 2018;116:e187–93.

    Article  Google Scholar 

  29. Delong C, Sharma S. Physiology, Peripheral Vascular Resistance. StatPearls. Treasure Island (FL) 2019.

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Authors and Affiliations

Authors

Contributions

SM designed the study, conducted the experiments, analyzed data, and prepared the manuscript. SP designed the study, conducted the experiments, analyzed data, and revised the manuscript. MH designed the study, analyzed data, and revised the manuscript. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Sara Pahlavan or Marjaneh Hejazi.

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All animal studies were performed in accordance with guidelines approved by the Ethics Committee of Royan Institute in conformity with the NIH Guide for the Care and Use of Laboratory Animals.

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Supplementary Information

Additional file 1.

Image of FCI device. 1: LED, 2: Specimen stage corresponding to surgical field, 3: Band-pass filter, 4: Optical structure, 5: CCD camera 6: Cage holding FCI system.

Additional file 2. Time-dependent fluorescence intensity curves (TICs) for 6 ROIs which were selected randomly at various levels of coronary circulation..

Additional file 3. Video angiography in ex vivo rat heart using FCI system.

Additional file 4. Distances between optical components that were achieved by Zemax software.

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Mashalchi, S., Pahlavan, S. & Hejazi, M. A novel fluorescent cardiac imaging system for preclinical intraoperative angiography. BMC Med Imaging 21, 37 (2021). https://doi.org/10.1186/s12880-021-00562-y

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