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Logo of nihpaAbout Author manuscriptsSubmit a manuscriptHHS Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
 
Mol Imaging. Author manuscript; available in PMC 2010 May 1.
Published in final edited form as:
Mol Imaging. 2009 May–Jun; 8(3): 156–165.
PMCID: PMC2766513
NIHMSID: NIHMS152285

High Power, Computer-Controlled, LED-Based Light Sources for Fluorescence Imaging and Image-Guided Surgery

Abstract

Optical imaging requires appropriate light sources. For image-guided surgery, and in particular fluorescence-guided surgery, high fluence rate, long working distance, computer control, and precise control of wavelength are required. In this study, we describe the development of light emitting diode (LED)-based light sources that meet these criteria. These light sources are enabled by a compact LED module that includes an integrated linear driver, heat-dissipation technology, and real-time temperature monitoring. Measuring only 27 mm W by 29 mm H, and weighing only 14.7 g, each module provides up to 6500 lx of white (400-650 nm) light and up to 157 mW of filtered fluorescence excitation light, while maintaining an operating temperature ≤ 50°C. We also describe software that can be used to design multi-module light housings, and an embedded processor that permits computer control and temperature monitoring. With these tools, we constructed a 76-module, sterilizable, 3-wavelength surgical light source capable of providing up to 40,000 lx of white light, 4.0 mW/cm2 of 670 nm near-infrared (NIR) fluorescence excitation light, and 14.0 mW/cm2 of 760 nm NIR fluorescence excitation light over a 15-cm diameter field-of-view. Using this light source, we demonstrate NIR fluorescence-guided surgery in a large animal model.

Keywords: Optical imaging, fluorescence imaging, light emitting diodes, light sources, image-guided surgery

INTRODUCTION

Broadly defined, optical imaging requires either coherent (i.e., laser) or incoherent light. Incoherent light sources are further divided into broadband, typically bulb-based, or narrow-wavelength, typically light emitting diodes (LEDs). For fluorescence imaging and fluorescence-guided surgery, excitation light centered at the peak absorption wavelength of the fluorophore is most desirable. When such light is created using an intense broadband light source, most of the optical energy is discarded by filtration, and the operating temperature of the source is quite high. Moreover, it is often difficult to focus filtered broadband light on a desired field-of-view (FOV) at a long working distance. Sources, such as multimode laser diodes and LEDs provide more efficient conversion of electrical energy into optical energy over narrow bandwidths, but the former suffers from safety concerns, temperature control problems, and high cost, and the latter suffers from temperature concerns, wider bandwidths, and difficulty in creating large arrays.

In virtually all non-microscopic fluorescence imaging applications, there is a need for improved light sources that combine flexibility and low cost with high performance. Both visible wavelength (400-650 nm) fluorescence imaging (reviewed in [1]) and near-infrared (NIR) fluorescence (700-900 nm) imaging (reviewed in [2]) have requirements for high fluence rate, large FOV, computer control, flexible re-configuration, and precise control of wavelength. For image-guided surgery, there are additional requirements that white light meets U.S. Food and Drug Administration (FDA) requirements for a surgical luminary and that fluorescence excitation light does not interfere with the surgery.

In this study, we report the development of small, lightweight, low-cost, and completely self-contained LED modules, light source design software, and an embedded processor that together enable the development of unique light sources for optical imaging and image-guided surgery.

MATERIALS AND METHODS

LED Printed Circuit Boards (PCBs)

5 mm epoxy lens LEDs were purchased from Marubeni Epitex (Santa Clara, CA). Both 670 nm LEDs (catalog #L670-01) and 760 nm LEDs (catalog #L760-01AU) had a 10° half-angle and an 18 mW optical output at an operating current of 50 mA. 5 mm LEDs required a collimating disk whose height was chosen to match the half-angle of the LED and the acceptance angle of the filter, and which was molded from black matte silicone (Albright Technologies, Leominster, MA). Lambertian 3 mm Rebel™ LEDs were purchased from Lumileds (San Jose, CA). White light (catalog #LXML PWC1 0100), blue (catalog #LXML PB01 0018), and green (catalog #LXML PM01 0080) LEDs had optical outputs of 100, 18, and 80 lumens (lm), respectively, at an operating current of 350 mA. Rebel LEDs required a catalog #RES-D focusing lens (Marubeni Epitex), which was modified by Albright Technologies to fit a 25 mm diameter round form factor. 2-pin header receptacles (catalog #BCS-102-L-S-DE) were from Samtec (Los Gatos, CA). Design of the 1” diameter round LED PCB was performed using Ultiboard (National Instruments, Austin, TX). Through-holes were drilled to conduct heat away from the LEDs, all possible surfaces were covered with metal (2 oz pour), and the solder mask was confined to the LED leads. PCBs were manufactured by Nashua Circuits (Nashua, NH) and assembled by Sure Design (Farmingdale, NJ). Gerber files and detailed manufacturing notes for LED and driver PCBs can be found at www.frangionilab.org.

Driver PCBs

Driver PCBs and circuitry is described in detail elsewhere ([3]; Gioux et al., manuscript in preparation). Briefly, design of the 1” diameter round driver PCB was performed using Ultiboard. The LM50 calibrated temperature IC (catalog #LM50CIM3/NOPB) was purchased from National Semiconductor (Santa Clara, CA). Board-to-board mating with the LED PCB was performed using Samtec catalog #MTLW-102-24-L-S-300 2-pin headers. Connection to the passive board was through a Tyco (Berwyn, PA) 6-pin shrouded header (catalog #2-1761603-1). All other parts were from Digi-Key (Thief River Falls, MN) or Mouser (Mansfield, TX). PCBs were manufactured by Nashua Circuits (Nashua, NH) and assembled by Sure Design (Farmingdale, NJ).

LED Module Assembly

LED and PCB boards were mated, potted with thermally conductive silicone, and then covered with a color-coded smooth silicone (Albright Technologies). Sputtered excitation filters were from Chroma Technology (Brattleboro, VT) and were mounted using black epoxy to Nikon TE300 metal filter rings, whose aperture was widened to 23.5 mm.

Light Housing Design Software

Software for arranging any desired number of modules in a parallelepiped housing, and for predicting optical fields, was written in MATLAB (Mathworks, Framingham, MA). Inputs to the software include the diameter of the central lens hole, light module characteristics, minimum inter-module spacing, light element (i.e., LED) characteristics, radius of the desired spherical surface (ρ; i.e., working distance), and target number of modules desired. Using these inputs, the software will create a housing with maximally-packed modules, arranged in concentric hexagons, on a spherical cap, and contained within a parallelepiped. Each hexagonal ring is termed a tier, with tier 1 being the most central hexagon with 6 modules, tier 2 being the next hexagon with 12 modules, and so forth (see below). The software accepts comma-delimited .txt file input/output, with one line per module, in the following format: X, Y, Z, Φ, θ where X,Y, Z are the center coordinates in space and Φ, θ define light element orientation in space.

Optical Field Profiling Software

Contained within the light housing design software is an algorithm to predict the final optical field intensities. The software computes the intensity projected by the light element (source) onto any horizontal plane away from the source. Sources are modeled as point sources having 2-dimensional Super-Gaussian profiles of independent full-width half maxima (FWHM). The FWHM of each axis, X and Y, are computed to match the half-angle of the light source as well as the angled projection of the light source. Additionally, the user can select real orders of Super-Gaussian profiles from 1 to 2, which permits modification of the shape of the intensity distribution. For orders > 1, FWHM is empirically corrected to match the source half angle. Intensity profiles are calculated for each light source at its projected location, FWHM is calculated from source height, half angle, and Φ, and finally, the whole profile is rotated according to θ. All module intensity profiles are summed and plotted on the plane of interest, then cross-sectional intensity profiles in X and Y directions are plotted and FWHMs are calculated. We simulated, and measured experimentally, single and multiple LED modules of diameter 2.5 cm, super-Gaussian order 1.2 to 1.4, and ≈7° half angle. Images were acquired using a Hamamatsu ORCA-ER C4742-80 camera and processed using MATLAB.

Light Housing Assembly

All LED modules were connected together using 5-conductor ribbon cables and a 6-pin crimp connector (Tyco catalog #1-1658528-0) to a “passive board,” which consisted of high current tracings and all power, control, and communication connectors. To reduce electrical noise, a 1 kΘ resistor was placed in series with each LED analog control line, and an electromagnetic interference (EMI) suppression ferrite ring (Fair-Rite, Wallkill, NY, catalog #2643002402) was placed around each 5-pin ribbon cable. An “active board,” which plugged directly into the passive board, contained a Texas Instruments (Dallas, TX) model MSC-1211Y5 embedded processor and all LED control and temperature monitoring circuitry. Control of the embedded processor was via a single RS-232 port. Passive and active boards PCBs were manufactured by Nashua Circuits (Nashua, NH) and assembled by Sure Design (Farmingdale, NJ). Gerber files and detailed manufacturing notes can be found at www.frangionilab.org.

3-D computer-aided design of the 76-module housing was performed at Design and Assembly Concepts (Leander, TX) and manufacturing and black matte anodization was performed at LAE Technologies (Barrie, Ontario, Canada). Cooling of the housing was performed using a Solid State Cooling (Pleasant Valley, NY) 400 W Thermocube, set to 18°C, connected to a custom cooling plate (Lauzon Manufacturing, Bennington, VT). Custom sterile drape/shields were purchased from Medical Technique, Inc. (Tucson, AZ). The light housing and custom optics (Qioptiq Imaging Solutions, Fairport, NY) were mounted to a custom imaging head (Yankee Modern Engineering, Groton, MA). Detailed specifications for all components are available for download at www.frangionilab.org.

Optical and Temperature Measurements

Fluence rate measurements were conducted using a PD300-3W photodiode (Ophir Optronics, North Andover, MA) connected to an Orion model PD power meter, and a Konica Minolta (Tokyo, Japan) model CL-200 chroma meter. Spectral measurements were conducted using an Ocean Optics (Dunedin, FL) model USB2000-FL spectrometer. PCB temperature measurements were conducted using a Honeywell (Freeport, IL) catalog #112-104KAJ-B01 thermistor. Environmental temperature measurements were performed using a 17 mm × 17 mm custom PCB to which was mounted a LM50 calibrated temperature IC.

NIR Fluorescence Guided Surgery

Animals were used under the supervision of an approved institutional protocol. Adult female Yorkshire pigs (mean weight 30 kg) were purchased from E.M. Parsons and Sons (Hadley, MA). General anesthesia was induced with 4.4 mg/kg of intramuscular Telazol (Fort Dodge Labs, Fort Dodge, IA). Once sedated, animals were intubated with a cuffed endotracheal tube, and anesthesia was maintained with 2% isoflurane/balance O2. A lower midline abdominal incision was used to expose the uterus and fallopian tubes. A NIR fluorescent (800 nm emission) hysterosalpingogram was performed using 10 μM indocyanine green (ICG; Akorn, Decatur, IL) in saline injected in utero. NIR fluorescence (700 nm emission) angiography was performed by intravenous bolus injection of 1 mg/kg methylene blue (Akorn). Real-time NIR fluorescence imaging was performed as described in [4] except that each independent NIR fluorescence image, i.e., 700 nm emission and 800 nm emission, could be assigned different pseudo-colors from a multi-color palette, and could have its brightness, contrast, and gamma adjusted independently by the surgeon.

RESULTS

Compact, Self-Contained LED Modules

The major problem associated with the use of densely packed LEDs is heat. To solve this problem, we developed a PCB that efficiently conducts heat away from the dies. Twelve, 5-mm epoxy LEDs were arranged in a trigonal pattern (3 central, 9 peripheral) on a 1” diameter round PCB with a minimal solder mask around each lead hole. Thirty-four additional 0.036” holes were drilled in the PCB to help conduct heat, and the entire board, except for LED lead holes, was metallized with a 2 oz pour. The metallized LED PCB for 3 mm Rebels was similar except solder points for only a single device was placed in the center of the board.

The second problem with LEDs is electrical control of optical output. Because of heat, it is typically necessary to separate the LED and the driver circuit spatially. However, with the use of a metallized LED PCB, and by encapsulating LED and driver PCBs in thermally conductive silicone (see Materials and Methods), it was possible to develop a driver PCB that could be mated directly to the LED PCB. This space-saving configuration also permitted real-time monitoring of temperature using a calibrated temperature IC on the driver board. The final driver PCB, which will be described in detail elsewhere ([3]; Gioux et al., manuscript in preparation) is capable of modulating a module composed of twelve, 5-mm LEDs at rates up to 30 MHz, at maximal power, in phase, and at a -3db modulation depth.

The final 5 mm LED module consists of the silicone-molded LED/driver PCB pair, a collimating disk, a sputtered excitation filter, and a threaded filter ring (Figure 1A). The collimator disk was especially important since the interference filters were designed with an acceptance cone angle of 22.5°, and stray light from the epoxy lens would otherwise escape the filter and lead to extremely high background during fluorescence imaging. The final 3 mm Rebel module (Figure 1B) replaces the collimator disk with a focusing lens. The final size of each module was only 27 mm W by 29 mm H, with a weight of 14.7 g, including the 6-pin ribbon female cable connector.

Figure 1
Compact, Heat-Dissipating LED Modules

Finite element analysis modeling (data not shown) of the 5 mm LED configuration suggested that there would be a minimal heat gradient along the PCB and that dies would remain at an ideal operating temperature (i.e., ≤ 50°C) even without secondary cooling. Indeed, empirical measurements of metallized and non-metallized LED PCBs confirmed that the metallized PCB maintained an operating temperature of 47.5°C for up to 10 hr (Figure 1C). This was 10°C cooler than the non-metallized LED PCB, and also reduced driver PCB temperature from 47.5°C to 41.2°C.

Individual LED modules were mounted in a small aluminum housing (Figures 1A, 1B) and performance measured (Table 1) in the presence or absence of excitation filters (Table 2). Since the optical output specification from different manufacturers is measured in different ways, and for epoxy LEDs is given as total, rather than focused light, it is difficult to assign an absolute efficiency to module output. However, even with this caveat total optical power from LED modules ranged from 57% to 77% of maximum, with sputtered excitation filters providing wavelength selection with high transmission (typically ≈98%).

Table 1
Optical Output of Individual 1” LED Modules at an 18” Working Distance
Table 2
Sputtered Excitation Filters, Emission Filters, and Dichroic Mirrors

Light Housing Design and Optical Field Simulations

In order to more easily design light sources with high fluence rate and multiple wavelengths, we developed MATLAB-based software. The software requires only input of light element (i.e., LED module) characteristics, light element size, minimum inter-module spacing, desired working distance, and the central lens hole diameter. A graphical user interface (Figure 2B) simplifies ease of use

Figure 2Figure 2Figure 2Figure 2
Design of Multi-Module Light Housings

In the first step, the software determines in planar geometry the most compact hexagonal arrangement of the light source elements centers (Figure 2A, left). Dimensions in this step are then converted to equivalent arc distances on the spherical cap (Figure 2A, right). Compactness optimization is performed by, first, fitting as many modules as possible around the central lens hole (which includes the possibility of starting at a tier > 1) and, second, by authorizing variable inter-module distances (larger than the minimum inter-module spacing) for each tier. The latter is performed for each tier by arranging the 6 elements of the main hexagonal axes (60 degrees apart) as close as possible, and linearly interpolating the remaining tier modules in between the axes. The LED module centers are then projected onto the spherical cap surface, and if desired, the 3-D final dimensions of the parallelepiped light housing are determined. Of note, although hexagonal compaction is efficient in planar geometries when all modules have the same dimension, if modules vary in dimension or if the central lens hole is large, other compaction geometries may be desirable.

The software also calculates the optical field profile for an arbitrary number of LED modules arranged anywhere within a light housing. Shown in Figure 2C (left) are the simulated and experimental data for two independent light modules (half angle 7.3°, super-Gaussian order = 1.2) alternatively on, off and both on. Note that intensities have been scaled to the 12 bits of the camera using a single correction factor for all acquired data. Software simulation also matches the experimental results using 36 individual light modules (half angle 7.3°, super-Gaussian order = 1.4; Figure 2.C, right) arranged in our final light source (Figure 2D).

LED module 3-D center coordinates and source orientation can be saved to, or loaded from, .txt files. Sources are modeled as point sources and have a 2-D super-Gaussian profile of real order between 1 and 2, with independent full-width half-maxima. However, our 2-D Gaussian model does not take into account the eccentricity of the maximum intensity location of the projection when light elements are tilted. Instead, the intensity maximum remains at the center of the profile. This eccentricity becoming more influential at large angle values, having a deviation of ≈10% when Φ + half angle > 40°.

Light Housing Assembly

We chose a “sandwich” design (Figure 3A) for final light housing assembly that incorporates a module-filled light housing, a secondary cooling plate, a “passive board,” which facilities module wiring and reconfigurability, and an “active board” containing an embedded processor and control circuitry (Figure 3B). A slot in the bottom of the light housing (Figure 3A) is used to insert a sterile shield to which is bonded a sterile drape. After insertion, the drape is pulled up and over the entire housing assembly using sterile technique (Figure 3C), rendering it amenable to image-guided surgery. Of note, despite high efficiency of transmission through the 0.118” sterile shield (95.4% at 0° incidence, 93.3% at 24° incidence), there are inevitable reflections from the shield, which requires the use of a cone-shaped aperture (Figure 3C) that extends from the central lens hole in the housing to the top of the shield.

Figure 3Figure 3Figure 3
Computer-Controlled, Sterile, High-Power Light Sources

The key functions of the embedded processor are independent computer control of up to 5 groups (i.e., channels; expandable to 12) of LED modules and real-time monitoring of module temperature. The separation of “passive” and “active” functions also provides extreme flexibility in reconfiguring the light housing for specific applications, since the active board containing the embedded processor can be swapped out at any time, and LED module forward voltage and control channel can be selected individually (Figure 3B). Although only digital control of LED modules is shown in this study, the high-performance electronics chosen (Figure 3B) permit high-speed temporal modulation of optical output.

Light Housing Performance and In Vivo Imaging

Shown in Figure 3C is an assembled light housing for image-guided surgery consisting of 76 total LED modules, arranged as 16 modules of white light, 24 modules of 670 nm NIR fluorescence excitation light, and 36 modules of 760 nm NIR fluorescence excitation light. Specifications of the LEDs and excitation filters are provided in Tables Tables11 and and2,2, respectively. With the sterile shield/drape in place, and the working distance set to 18”, the light housing was capable of providing up to 40,000 lx of white light, 4.0 mW/cm2 of 670 nm fluorescence excitation light, and 14.0 mW/cm2 of fluorescence 760 nm light over a 15 cm circular FOV. The temperature of all 76 LED modules was maintained at ≤ 45°C, even after several hours of operation at simultaneous maximal output.

The sterile, assembled light housing shown in Figure 3C was used with the optical system shown in Figure 4A to conduct image-guide surgery of large animals approaching the size of humans. The optics and control software were designed to permit simultaneous acquisition of images from the color video camera and the two NIR fluorescence cameras at rates up to 15 Hz. The utility of the light housing is demonstrated in Figure 4B, where in utero injection of ICG (800 nm emission) produced a real-time hysterosalpingogram while intravenous injection of methylene blue (700 nm emission) produced simultaneous delineation of the peri-uteral vessels of the omentum. Because of the low cross-talk among LED modules, and since all images were acquired simultaneously, it was also possible to produce a pseudo-colored merge of the three in real-time (Figure 4B). This merged image is particularly valuable for image-guided surgery since it provides anatomical landmarks (i.e., color video) along with two different NIR fluorescent targets.

Figure 4
Image-Guided Large Animal Surgery using a Multi-Wavelength LED Light Source

DISCUSSION

This study was initiated because image-guided NIR fluorescence surgery has light source requirements that are not easily served by available technology. By starting with the lighting element (i.e., LED) and addressing its heat management issues, we were able to create LED modules with self-contained control and temperature measurement circuitry. The metallized LED PCB with mating driver PCB appears to work well with up to twelve, 5-mm epoxy lens LEDs or one, 3-mm high power Rebel LED, suggesting that it is a robust design that could accommodate newer lighting elements as they become available. So, too, is the “sandwich” type LED assembly, which can be scaled to any size or geometry using the provided software tools, and which can accommodate any type of control algorithm by using a swappable “active board” with an embedded processor. Importantly, the design also accommodates a sterile drape/shield combination, which enables clinical studies.

Recognizing that our LED module assembly permits the addition of polarization filters, patterned grids, and/or additional lensing, clinical optical imaging applications that could immediately benefit from our LED-based technology include multi-wavelength spectroscopy [5,6], autofluorescence spectroscopy [7], polarization spectroscopy [8], spatially-modulated imaging [9,10], and image-guided NIR fluorescence surgery [4,11]. In addition to over 40,000 lx of white light, the 76-module light housing we designed for image-guided NIR fluorescence surgery provided a total of ≈0.7 W of 670 nm NIR fluorescence excitation light and ≈2.5 W of 760 nm NIR fluorescence excitation light. Although similar fluence could be achieve with lasers of the same power, with a spectrum that is more efficient for fluorophore excitation, their cost, the safety concerns associated with invisible Class IV lasers, and the need to distribute optical power to avoid shadowing, give pause for their use clinically. Even in low quantity, each final, 1” diameter LED module, including sputtered excitation filter, silicone-molded LED module, collimator, cabling, and assembly costs approximately $200, or roughly $2 per mW. In contrast, NIR laser light costs over $5 per mW. And, unlike laser systems, which will always require some type of moving lens to blur out speckling, the lighting system we describe requires no moving parts.

A key feature of the 5-mm epoxy lens LED modules is that no secondary optics are required. It is only necessary to match the half-angle of the LED to fill the FOV at the desired working distance. One caveat, though, is that conventional interference filters are designed with a finite “acceptance angle,” beyond which filtration fails. Since epoxy LEDs have significant light leakage from their tip at non-desired angles, a collimator, literally thin-walled tubes of a particular height, are necessary to ensure that only rays falling within the acceptance angle of the filter hit its face.

Finally, the LED technology we describe in this study could be additionally optimized in many ways. First, as higher power lighting elements become available, they could be incorporated into the modules to increase optical power and thus decrease the total number of modules needed to achieve a given fluence rate. Second, the silicone used for module potting could be further enhanced for thermal conductivity, which would reduce LED and driver PCB operating temperatures even more. Third, the sterilizable shield could have an anti-reflective coating applied to both sides. In preliminary tests, this increased transmission at all incidence angles to ≥98% (but also increased cost by over 20-fold). And fourth, spectral matching and homogeneity of the radiance could be improved by employing more sophisticated LED arrays [12] and/or control software [13]. Nevertheless, our results should lay the foundation for improved LED-based light sources for optical imaging.

ACKNOWLEDGMENTS

We thank Aya Matsui, M.D., and Rita Laurence, B.S., for assistance with animal surgery, and Barbara L. Clough and Lorissa A. Moffitt for editing. This study was funded in part by NIH Bioengineering Research Partnership (BRP) grant #R01-CA-115296 and an Application Development Award from the Center for Integration of Medicine & Innovative Technology (CIMIT). We thank the following individuals and companies for their contributions to this project: Gordon Row (Yankee Modern Engineering), Kelly Stockwell and Paul Millman (Chroma Technology), Jeffrey Thumm (Duke River Engineering), Michael Paszak and Victor Laronga (Microvideo Instruments), David Comeau and Robert Waitt (Albright Technologies), Colin Johnson (LAE Technologies), Robert Eastlund (Graftek Imaging), Gary Avery, Phil Dillon and Ed Schultz (Qioptiq Imaging Solutions), John Fortini (Lauzon Manufacturing), Steve Huchro (Solid State Cooling), Clay Sakewitz and Will Richards (Design and Assembly Concepts), Ken Thomas (Sure Design), Paul Bistline and Phil Bonnette (Medical Technique, Inc.), Mathew Silverstein (L-com), and Nashua Circuits.

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