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1.IntroductionDetermination of tissue optical properties is fundamental for application of light in either therapeutic or diagnostic procedures. Methods to accurately determine optical properties can lead to optical diagnostic tools,1 improvements in laser surgery,2 3 quantitative determination of chromophore4 and fluorophore5 concentrations, drug pharmacokinetics,6 as well as improvements in photodynamic therapy (PDT) dosimetry.7 The latter is of particular interest for this study. Experimental determination of tissue optical properties has been proposed using different methodologies. Integrating sphere,3 8 9 10 frequency-domain diffuse reflectance,11 12 time-domain diffuse reflectance,11 13 14 optoacoustics,15 and spatially resolved steady-state diffuse reflectance16 17 are among the most widely used. Each technique has its own advantages and disadvantages. In this work we implemented a spatially resolved steady-state diffuse reflectance method where only two fibers (one source and one detector) spaced 2.5 mm apart are used for the determination of the optical properties. The method relies on the spectral characteristics of the tissue chromophores (water, dry tissue, and blood) to determine the absorption coefficient and on a simple wavelength dependent expression (μs ′=aλ−b) (Ref. 18) for the determination of the reduced scattering coefficient. Advantages of using this method are the inexpensive equipment involved and the simplicity of the measurements which allows its use during endoscopic procedures. 2.TheoryWhen performing the analysis of reflectance measurements one has to decide upon a light transport model to determine how light from the source fiber reaches the collection fiber. A simple approach is to use the diffusion approximation of the steady-state radiative transport equation and calculate the net flux escaping the sample at a radial distance r from the source as demonstrated by Farrell16 and shown in Eq. (1): where z0=1/(μa+μs ′), D=z0/3, δ=sqrt(D/μ a ), r1 2=z0 2+r2, r2 2=(z0+4AD)2+r2 and A=(1+ri)/(1−ri). The term ri is the internal reflection due to the refractive indexmismatch at the surface. Walsh (see Ryde)19 developed an exact analytical expression for the case where n0 (the refractive index of the medium of the incident ray) is smaller than n1 (the refractive index of the medium of the transmitted ray) given by Eq. (2): where m=n1/n0 and m>1 (since n0<n1) . For the case where n0>n1 (e.g., the internal reflection where n0=n tissue ≈1.38 and n1=n air =1.0) one should first calculate ri(m′) assuming m′=1/m (hence, m′>1) and second use the expression derived by Egan and Hilgaman20 based on the n2 law of radiance [Eq. (3)] to calculate ri(m):A two-fiber Monte Carlo model (described elsewhere)21 where all the light that reaches the collection fiber face is counted (open circles) shows approximately the same result predicted by the diffusion model (line) as shown in Fig. 1. In this example the source and collection fibers have diameters of 600 μm. The refractive indices of the sample and top medium (air) were set to 1.33 and 1, respectively, and the refractive index of the fiber was not considered (n fiber =1). If the refractive index of the optical fiber is set to its typical value of 1.45 a larger flux is collected (Fig. 1, filled circles). The fiber perturbs the medium by introducing a region where the refractive index is greater than the sample, hence, having no critical angle, which increases the escaping flux. To accurately determine the flux collected by the optical fiber, the optical fiber collection efficiency21 22 must be taken into account. If only the light that reaches the collection fiber within the angle defined by the numerical aperture is used then the net flux coupling into the fiber is approximately 1/10 (Fig. 1, filled diamonds) of that determined by the diffusion model (for numerical aperature=0.39). Moreover, the collection efficiency is dependent on the optical properties of the medium,21 22 which in addition to the perturbation of the probe caused by its refractive index makes accurate modeling based on analytical approximations or numerical methods difficult. This task is particularly aggravated when probes composed of more than simple optical fibers are used since the presence of additional material close to the fiber tip (e.g., metal or plastic holders) changes the local boundary conditions. Thus, the assumption of a simple air/medium boundary at the surface becomes flawed. An alternative approach toward characterizing a particular optical fiber device can be based on experimental measurements on optical phantoms with varying absorption and scattering properties to establish an empirical forward light transport model. This paper describe this empirical approach. This calibration technique is specific to the particular geometry of the probe. Any probe design changes require a new calibration. 3.Material and Methods3.1.Probe PreparationA two-fiber side-firing probe was developed for steady-state diffuse reflectance measurements via the working channel of an endoscope, delivering and collecting light into/from the tissue at 90 deg relative to the axis of the fibers (Fig. 2). Two pieces of 620 μm diameter stainless steel rod were cut 12 mm long and one end of each was polished at a 45° angle to create a mirror. Two lengths of stainless steel tubing (inner diameter=660 μm, outer diameter=830 μm) were cut 8 mm long and a hole was made in each through one side of the tube wall using a 0.025 in. (635 μm diameter) end mill. The holes in the tubing were spaced 2 or 4.5 mm from the end for use as the source or the detector fiber, respectively. The polished steel rods were aligned inside the tubing such that the 45° mirror surface would reflect light through the hole. Two optical fibers (silica–silica, 600 μm core diameter, 3 m long; Ceramoptec Industries Inc., East Longmeadow, MA) were polished flat and one fiber was inserted through the open end of each tube. The optical fiber, rod/mirror, and tube were fixed in place by filling the internal spaces of the tube with clear epoxy (Epo-Tek 301; Epoxy Technology, Billerica, MA), and curing at 60 °C for 4 h. Excess rod was trimmed and filed to remove sharp edges. The source (with hole 2 mm from the end) and detector (with hole 4.5 mm from the end) were aligned side by side and bonded together by epoxy with the two holes facing toward the same side. The remaining 3 m optical fibers were inserted into Teflon tubing (PTFE 17LW; Zeus Industrial Products Inc., Orangeburg, SC). The tip of the probe was sealed with medical grade silicone glue and a 2 cm piece of heat-shrink Teflon tubing (14HS; Zeus Industrial Products Inc., Orangeburg, SC). The probe was sterilized with ethylene oxide gas prior to patient use. 3.2.Reflectance MeasurementsReflectance measurements of normal and cancerous esophagus, lung, and oral mucosa were taken with the reflectance system shown in Fig. 3. White light from a tungsten lamp (QTH6333, Oriel Instruments, Stratford, CT) was used as the source. The signal was detected with a diode array spectrophotometer (S2000, Ocean Optics Inc., Dunedin, FL). The fiber probe used was described in the previous section. During the clinical procedures the physician positioned the reflectance probe at normal sites (all patients) and tumor sites (PDT patients) according to his clinical evaluation of the tissue. Accurate positioning of the probe was possible due to maneuverability of the endoscope and the fact that a distinct spectrum (Fig. 4) was obtained when proper probe contact was achieved. Typical measurement-to-measurement variation on a single site was approximate 10%. Three sites were measured per patient/disease, and the reflectance spectra were later analyzed to determine the tissue optical properties. The endoscope illumination was turned off while the spectrum for a given site was acquired (200 ms acquisition time). The probe was calibrated by topical placement on an epoxy/titanium-dioxide solid phantom immediately after the procedure. The solid epoxy standard was previously calibrated with integrating sphere measurements and inverse adding-doubling8 23 modeling to specify its optical properties. Figure 4 shows the raw reflectance spectra for one of the patients. Lower intensities in the 500–600 nm range are due to blood absorption. 3.3.Empirical Forward Light Transport ModelThe reflectance spectra used an empirical light transport function determined by experimental calibration of the reflectance probe with a matrix of tissue simulating phantom gels. This experimentally determined transport function behaves similar to that of diffusion theory with a mismatched air/tissue boundary, but accurately accounts for the performance of the actual probe device with its particular geometry and construction as described in the following sections. 3.3.1.Preparation and calibration of the tissue phantom gel matrixAn 8×8 matrix of acrylamide gel tissue simulating phantoms was prepared using Intralipid (Liposin II, Abbott Laboratories, North Chicago, IL) as the scattering element and India ink (No. 4415, Higgs, Lewisburg, TN) as the absorber. The absorption coefficient of the stock ink was determined with an ultraviolet (UV)-visible spectrophotometer (model 8452A, Hewlett-Packard, Palo Alto, CA). A matrix of 64 gels was prepared with all combinations of eight different reduced scattering coefficients and eight different absorption coefficients. Samples were prepared to yield final Intralipid concentrations of 7%, 5%, 3.5%, 2.5%, 1.5%, 1.0%, 0.5%, and 0.25% (gram lipid/mL solution times 100%). Final range of the gels reduced scattering coefficient at 630 nm was 1–28 cm−1. Different aliquots of India ink were added to yield final absorption coefficients of the gels at 630 nm of 0.01, 0.1, 0.4, 0.9, 1.6, 2.5, 4.9, and 6.4 cm−1. Gels were prepared by adding aliquots of Intralipid, India ink, 45 mL of acrylamide solution (40% concentration) and water to a final volume of 100 mL (4 cm height by 5 cm diameter). The final gel was 18% acrylamide. Stock acrylamide was prepared by diluting 1.4 kg of acrylamide acid (BP170-100, 99%, electrophoresis grade, Fisher Scientific, Pittsburgh, PA) and 35 g of bis-acrylamide (BP171-25, Fisher Scientific, Pittsburgh, PA) in water (1:40 ratio) to create a final volume of 3.5 L (40% concentration). Samples were gelled by adding 0.4 g of ammonium persulfate (BP179-25, Fisher Scientific, Pittsburgh, PA) and 100 μL of TEMED (BP150-20, Fisher Scientific, Pittsburgh, PA) in each 100 mL sample. Figure 5 is a picture of the samples. Acrylamide did not change the absorbing properties of the added ink (as experimentally verified for an absorbing only gel), however, the scattering properties of the added Intralipid were assumed to change when added to the gels. This assumption was based upon experiments done with samples before and after gelling (data not shown). Optical properties of the final gel samples were determined by measuring the total reflectance with an 8 in. diam integrating sphere (IS-080, Labsphere Inc., North Sutton, NH). Samples were placed directly at the open port (1 in. diam) of the integrating sphere. Illumination of the sample was provided by a 600 μm diam optical fiber positioned inside the integrating sphere through a stainless steel tube 5 mm away from the sample, which yielded a 3 mm diameter spot at the sample surface. Total diffusely reflected light was collected with a 600 μm diam optical fiber positioned in another port of the sphere. A baffle was positioned between the two ports. The setup is shown in Fig. 6. Measurements of Spectralon standards (Labsphere Inc., North Sutton, NH) were taken to calibrate the sphere. Reduced scattering (μs ′) and absorption (μa) coefficients were determined using a combination of the added-absorber24 and adding-doubling8 23 methods to predict the total diffuse reflectance (Ri AD) for comparison with the measured total diffuse reflectance (Ri EXP ) in a least square minimization routine (Nelder-Mead simplex algorithm). Determination of the two parameters (μs ′ and μa) with only one measurement of total diffuse reflectance is possible because of the knowledge of the added absorber to all samples. The minimization was done wavelength-by-wavelength using the samples with the five lowest ink concentrations (Di ink =0, 0.0003, 0.0010, 0.0024, 0.0040, corresponding to 0.01, 0.1, 0.4, 0.9, and 1.6 cm−1 at 630 nm, respectively) for each Intralipid concentration. Figure 7 shows a flow chart of the minimization. 3.3.2.Probe calibrationAll 64 acrylamide gel samples and the epoxy/titanium-dioxide solid standard were measured with the probe. A drop of water aided optical coupling between the gel and the optical fiber probe. Measurement-to-measurement variation decreased from approximately 20% without optical coupling to less than 5% with optical coupling. Reflectance measurements on samples (Ms) were normalized by the epoxy/titanium-dioxide (epoxy- TiO 2) solid standard (M std ). The final spectrum was the ratio M: where S(λ) (W) is the light source power, D(λ) (counts/W) is the detector sensitivity, Rs(λ) (l/cm 2) is the optical transport into the medium and returning to the sample surface at the collection fiber, ηs(λ) (dimensionless) is the optical fiber collection efficiency for the sample, η std (λ) (dimensionless) is the optical fiber collection efficiency for the standard, and R std (λ) (dimensionless) is the reflectance of the epoxy/titanium-dioxide solid standard (0.65 at 630 nm).The terms S (the source spectral response) and D (the detector spectral response) are the same for samples and standard measurements and do not vary within a measurement procedure and thus cancel in Eq. (4). The normalized measurement, M(λ), was multiplied by the reflectance of the standard [R std (λ)] determined with the integrating sphere setup shown in Fig. 6 to yield the adjusted normalized measurement M*(λ) [Eq. (5)]: The term M* incorporated the actual light transport of the sample multiplied by the ratio between the optical fiber probe collection efficiency for the sample and the standard. Each phantom gel yielded a spectrum of reflection values (λ=480–925 nm). With the knowledge of the optical properties of the samples from the integrating sphere measurements a light transport map was generated for each wavelength by interpolating the 64 normalized measurements [M*(λi)] as follows:
To speed the calculation of the light transport the coefficients C1, L1, and C2 were fit to polynomial functions of orders 4, 15, and 15, respectively. The use of high order polynomial functions for L1 and C2 was necessary because of the rapid changes in these coefficients as a function of reduced scattering coefficients. Nevertheless, Fig. 9 shows that C1, L1, and L2 were well-behaved functions of μs ′. Fitted values beyond the limits of maximum and minimum coefficient values were discarded (shadow regions on Fig. 9). 3.4.Modeling of Tissue Reflectance with the Empirical/Spectral ModelThe analysis of reflectance assumes (1) that the reduced scattering coefficient of the tissue behaves as a power of the wavelength18 and (2) that a linear combination of chromophore spectra can fully approximate the absorption coefficient.18 Tissue absorption was modeled as a linear combination of water (μa water ), a background spectrum for dry bloodless tissue (μa dry ), and a variable blood volume fraction (fv) of oxygenated and deoxygenated whole blood (μa oxy ,μa deoxy ) at an oxygen saturation (SO 2). The fraction of water was kept fixed at 75%. In principle, the water content could be fit, but our system was not sufficiently sensitive in the 900–1000 nm spectral region where water strongly influences the spectra. Tissue scattering can be represented by a simple expression, aλ−b, that mimics the Mie scattering from larger tissues structures such as collagen fiber bundles, mitochondria, nuclei, and cells.25 The Rayleigh scattering (∝λ−4) was neglected in this modeling effort because our spectra were acquired above 480 nm and were not sensitive to Rayleigh scattering. The absorption coefficient (μa) and reduced scattering coefficient (μs ′) were specified as where μa(λ) (cm −1) is the total absorption coefficient of tissue in vivo, μa dry (λ) (cm −1) is the absorption coefficient of dry bloodless tissue, μa water (λ) (cm −1) is the absorption coefficient of pure water, μa oxy (λ) (cm −1) is the absorption of fully oxygenated blood (45% hematocrit), μa deoxy (λ) (cm −1) is the absorption of fully deoxygenated blood (45% hematocrit), fW (dimensionless) is the volume fraction of water, Fv (dimensionless) is the volume fraction of blood in tissue, SO 2 (dimensionless) is the oxygen saturation, A (cm −1) is the amplitude constant for μa dry (λ), B (nm −1) is the rate constant for μa dry (λ), μs ′(λ) (cm −1) is the reduced scattering coefficient of tissue in vivo, a (cm −1) is the factor that characterizes magnitude of scattering, b (dimensionless) is the factor that characterizes wavelength dependence of scattering, and λ (nm) is the wavelength.Typical spectra for μa dry , μa water , and the μa oxy and μa deoxy for whole blood at 45% hematocrit are shown in Fig. 10.26 The absorption of dry tissue was assumed to behave as an exponential decay, as suggested by Saidi.27 This approximation was used to represent the sum of the effect that all chromophores with Soret band in the UV-blue spectral region (e.g., collagen fibers, bilirubin, porphyrins, etc.) have on the absorption coefficient in the visible range. Measurements on the solid standard made of epoxy, titanium dioxide (TiO 2) and ink used to normalize the acrylamide gel phantoms (Sec. 3.3.2.) were taken to correct for day-to-day variations in the wavelength and magnitude dependence of the light source and detector sensitivity. As an example, normalized data from Fig. 4 is presented in Fig. 11. In effect six parameters were determined from each reflectance spectrum by a least square minimization. The fitting process consisted of two phases. First, only the measurements at the isosbestic points (500, 530, 545, 570, 584, 796 nm) were used (so that oxygen saturation is unimportant) to determine a, b, blood fraction (fv), A, and B. This produced a value for b that was held constant in the second fitting and optimized initial guesses for a, blood fraction (fv), A and B. The second fitting allowed a, blood fraction (fv), blood oxygen saturation (SO 2), A and B to vary and used the entire reflection spectrum. Specifically,
3.5.Validation of the Empirical Model with a Diffusion ModelMeasurements of bovine muscle were made to validate the model. An in vitro tissue measurement was preferred to the use of phantoms composed of scatters such as intralipid or microspheres and absorbers such as India ink or other chemical chromophores because of the model dependence on the spectra of the tissue components (oxy and deoxy blood, water, etc.). Bovine muscle was bought fresh from the local abattoir and was approximately 24 h postmortem at the time of the measurements. Tissue was kept refrigerated and wrapped in plastic until the time of use. Three sites in three different samples were measured. Optical properties of the samples were determined using the empirical model described in the previous sections and compared to optical properties determined by a wavelength-by-wavelength model using the total diffuse reflectance measurement (Rt) in conjunction to a spatially resolved steady-state diffuse reflectance measurement (Rd). The measurement Rt was done with the integrating sphere setup shown in Fig. 6. The measurement of Rd was made with an optical fiber probe composed of five 400 μm diam optical fibers linearly spaced 1.524 mm (0.060 in.) apart. The first fiber was used to illuminate the tissue with a white light tungsten lamp (QTH6333, Oriel Instruments, Stratford, CT). The remaining four fibers were connected to a four-channel diode array spectrophotometer (S2000, Ocean Optics Inc., Dunedin, FL). A measurement of the epoxy- TiO 2 standard referred on Sec. 3.3.2 was taken to normalize the tissue measurements. This normalization was done to cancel the source and detector spectral variation. Optical properties were determined by fitting the experimental measurements Rt and Rd to adding-doubling8 24 and diffusion theory16 28 models, respectively, wavelength-by-wavelength, as follows:
where e is the function to be minimized and rk are the radial position of the collection fibers. 3.6.PatientsPatients undergoing endoscopic screening for esophageal diseases and patients undergoing photodynamic therapy for esophageal, lung, and oral cavity cancer treatment were recruited for the reflectance measurements. Consent to take part in the study was obtained from all patients. A study protocol was defined and approved by the Providence St. Vincent Medical Center IRB Committee. Detailed written and oral information on the study protocol was given to the patients prior to enrollment. The measurements increased the endoscopic procedure an average of 5 min. A total of nine patients (Nos. N1–N9) undergoing the endoscopic procedures for screening purpose were recruited to set base line values for optical properties at clinically evaluated normal tissue sites. One measurement was taken at three different sites for each patient. Four patients with esophageal tumors (Nos. E1–E4), two patients with lung tumors (Nos. L1–L2) and one patient with oral cavity tumors (No. O1) scheduled to receive standard FDA and off-label PDT treatment protocols were recruited for this study. All were intravenously injected with 2 mg/(kg body weight) of Photofrin II (Axcan Pharma Inc., Birmingham, AL) 48 h prior to activation by 630 nm laser light. Measurements of reflectance spectra were taken immediately prior to light treatment. Three clinically evaluated normal sites and three clinically evaluated tumor sites were measured per patient. Exception was lung patient No. L2, who had only two normal sites and three tumor sites measured due to time constraint. 4.Results4.1.Bovine Muscle in vitroComparison between the optical properties of bovine muscle determined with the empirical/spectral model and by the wavelength-by-wavelength model (Sec. 3.5) is shown in Fig. 12. Figure 12(a) shows the average and standard deviations for μs ′ (top) and μa (bottom) obtained with the two techniques for three different sites of one sample. Similar results are shown in Fig. 12(b) for all nine sites measured (three sites times three samples). These results illustrate how the analysis using the empirical/spectral model yielded a smooth spectrum for the reduced scattering coefficient while the analysis using the diffusion theory/wavelength-by-wavelength model allowed for cross talk between the absorption and scattering (seen as the influence of hemoglobin absorption in the reduced scattering coefficient spectrum). Note, however, that at longer wavelengths where hemoglobin absorption is low, the reduced scattering coefficient was similar for both methods. 4.2.Human Tissue in vivoFigure 13 shows results of the empirical/spectral model for esophageal PDT patient No. E1 with plots of the experimental and predicted spectra for three normal sites [Figs. 13(a)–13(c)] and three tumor sites [Figs. 13(d)–13(f)]. Experimental curves in Figs. 13(a)–13(f) are the same shown in Fig. 9. Bloodless tissue curves are shown in black dashed lines, based on setting the factor fv equal to zero for μa in Eq. (7) and determining the light transport using the bloodless tissue optical properties and Eq. (8). The values of a, b, fv, SO 2, A, and B are specified in the graphs for this patient and in Tables 1, 2, and 3 for sites measured in all patients (PDT and non-PDT). To obtain the optical properties one must use these numbers with Eqs. (7), (8), and (9). The normalized residual error [(predicted−experimental)/experimental] is also shown. Table 1
Table 2
Table 3
In some cases the blood content from tumor tissue was so high that zero reflectance was obtained in the 500–600 nm wavelength range. In these cases data were truncated below 600 nm and the same fitting algorithm was attempted. Without the data below 600 nm, the fitting for a and b (that describe the reduced scattering coefficient) and B (that describe the absorption of dry tissue) did not always converge to values that represented physiological values of μs ′ and μa. Therefore, the values of a, b, and B were determined using the average of μs ′ and μa dry from the other tumor sites for the same patient and the variables fv, SO 2, and A were fitted using the data above 600 nm. In the case of patient No. E1, just one tumor measurement (tumor site No. 1) did not have zero reflectance values in the 500–600 nm wavelength range. Thus, the values of a, b, and B for this tumor site were used to determine the other variables (fv, SO 2, and A) for tumor site Nos. 2 and 3. The sites where truncated data were used are highlighted in Table 3. Calculated reduced scattering and absorption coefficients of normal and tumor sites for patient No. E1 are shown in Figs. 14(a) and 14(b), respectively. Reduced scattering coefficients for all three tumor sites are identical since the same values of a and b were assumed for all sites as explained earlier. Absorption and reduced scattering coefficients and the optical penetration depth (δ) at 630 nm are shown in Tables 1, 2, and 3 for all patients. Histograms of the optical penetration depth at 630 nm are shown in Fig. 15 for the normal, PDT normal and PDT tumor. Mean and standard deviations for blood fraction (fv), blood oxygen saturation (SO 2), and reduced scattering coefficients (μs ′), absorption coefficients (μa), and optical penetration depths (δ) at 630 nm are shown in Table 4. Table 4
Two-sample t tests29 were performed to compare results for normal esophageal tissue of non-PDT against normal tissue of PDT patients. t tests were also performed to compare normal against tumor sites for PDT patients. Significant difference was found between non-PDT normal and PDT normal tissue for fv and SO 2 with p values <0.03 and <0.01, respectively. No significant difference was found for the other parameters. Comparison between PDT normal and PDT tumor sites showed significant difference between all parameters except μs ′ with p values <0.02, <0.003, <0.001, and <0.002 for fv, SO 2, μa, and δ, respectively. 5.DiscussionOne of the big challenges in making endoscopic measurements is the size constraint imposed on the optical fiber probe. The typical diameter of the working channel for commercial endoscopes is 2–3 mm.30 Our first attempt was to use a single bare 600 μm diam optical fiber for both delivery and collection of light (data not shown). Unfortunately the sampling volume of this fiber configuration limits its ability to determine the absorption coefficient because the pathlength of collected photons was too short.31 Furthermore, when using a single fiber the specular reflection of the optical fiber tip is an important component of the detected signal and fiber-tissue contact becomes an important issue, increasing the variation in the data.32 An alternative approach for the endoscopic measurements was the development of the two-fiber probe described in Sec. 3.1. This probe used two fibers, one as source and the other as detector, separated 2.5 mm apart in a side viewing configuration, which allowed a greater sampling volume and eliminated fiber specular reflection on the detected signal. The empirical model of Sec. 3.3 lead to the use of a probe specific model, rather than the use of a theoretical model (such as diffusion theory or Monte Carlo simulations) that attempted to adequately model the geometry and boundary conditions of the probe. Figure 1 shows the impact of different boundaries on the detected signal of a Monte Carlo simulation when an ideal optical fiber is used to collect light from a semi-infinite medium. The optical fiber index of refraction perturbs the medium boundary and the optical fiber numerical aperture limits the fiber cone of collection. With an actual optical fiber probe the material surrounding the optical fiber (i.e., metal supports, plastic tubing) will aggravate the changes in the medium boundary. Furthermore, the optical fiber collection efficiency21 22 is a function of the tissue optical properties, which adds more complexity to the model. Since the empirical model is based on measurements with the actual probe in samples with known optical properties all these issues get lumped together in the transport function. The disadvantage is the fact that the model is specific for a particular probe and in principle calibration has to be done for each probe that is made. Normalization of the data and the model by the measurement of a solid standard (also used to account for day-to-day variations in the system) helped overcome this calibration issue as long as the probes have the same design. The ability to determine two parameters, the reduced scattering coefficient (μs ′) and the absorption coefficient (μa), with one spectral reflectance measurement is only possible because of the spectral nature of the tissue components and the assumptions stated in Eqs. (7), (8), and (9). In a typical experimental setup two independent (or orthogonal) measurements have to be made to determine two independent variables. In our case we only have one measurement, but composed of more than 400 spectral points (approximate one point per nanometer) that are not completely independent of each other. Nevertheless there exists enough information to derive the two optical properties if a priori information about the tissue components is known. For this we assume that the tissue absorption coefficient is composed of absorption from dry tissue (μa dry ), water (μa water ), oxy- and deoxy-blood (μa oxy and μa deoxy ) and that the reduced scattering coefficient behaved as aλ−b. As with any fitting routine, starting with the appropriate initial values for the fitting parameters helps avoiding reaching local minima (which leads to incorrect answers) in the minimization routine. Using the isosbestic spectral points and leaving the blood oxygen saturation (SO 2) out of the initial fitting helped the appropriate determination of the parameter b for the reduced scattering as well as establishing better guesses for the other initial parameters. In a few cases the determination of b with the limited number of data points (the isosbestic points) resulted in nonphysiological values for the optical properties. In these cases new initial parameters were attempted. Unique values for all parameters that corresponded to physiological values for the optical properties were always obtained. This approach presented results comparable to the use of more traditional models, such as the diffusion theory combined with adding doubling for in vitro measurements as shown in Fig. 13. Disagreement was found in the spectra below 650 nm as it should be expected since diffusion theory fails when the reduced mean free path [1/(μa+μs ′)] is comparable with the source-detector separation and when μa is comparable to μs ′. Literature values for bovine muscle at 630 nm have μs ′ ranging from 4.4 to 7 cm−1 (Ref. 33) and μa ranging from 0.4 to 3.5 cm−1,33 which are in agreement with the results obtained with the method presented in this study. Residuals shown in Figs. 14(a)–14(f) were typical for all the sites measured and were always below 20% for most spectral ranges. Recall that some of the tumor sites were blood saturated (highlighted in Table 3) and assumptions of different tumors sites having the same μs ′ and same μa dry were made. These results obtained for blood saturated sites should be considered only as estimates since the earlier assumptions were not experimentally proved. Nevertheless all blood saturated sites presented higher values of blood content, as expected. Blood oxygen saturation results were compromised in these sites since it relied mainly on the presence and magnitude of the deoxy-blood peak at 780 nm which is a small spectral feature compared to the absorption bands in the 500–600 nm range. It should be noted that the results for SO 2 in this work represent the mixed arterio-venous blood oxygen saturation which explain the low average values shown in Table 4 as opposed to the arterial blood oxygen saturation typically in the 90%–98% range. Reconstruction of the optical properties for all sites is direct with the use of values in Tables 1 2 3 and Eqs. (7 8 9). Comparison of non-PDT normal, PDT normal, and PDT tumor patients are given in Tables 3 and 4. The mean value of fv and SO 2 were respectively 50% and 20% greater for the PDT normal compared to the non-PDT normal with p values of <0.03 and <0.01. In contrast the absorption coefficient at 630 nm was statistically the same for both patient populations. The reason for this discrepancy may be the fact that the non-PDT normal population was composed of only esophageal tissue whereas the PDT normal population was composed of esophageal tissue as well as oral and bronchial mucosa. Blood fraction of PDT tumor sites was more than two times greater than in PDT normal tissues (p<0.02). This is probably due to the increased vascularization typical of tumor tissue.34 The increased blood fraction accounted for a twofold higher absorption coefficient (p<0.001). Blood oxygen saturation was 50% lower (p<0.003) for PDT tumor compared to PDT normal sites. No significant difference was found between non-PDT normal, PDT normal, and PDT tumor reduced scattering coefficient. As a consequence the optical penetration depth (δ) for PDT tumor patients was 38% smaller than δ for the PDT normal patients (p<0.002). Reduced scattering and absorption coefficients determined in this work are comparable to results obtained by other authors for esophagus (μs ′=7.0±2.3 cm −1 and μa=0.27±0.14 cm −1 at 630 nm),17 bronchial submucosa (μs ′=12.4±0.7 cm −1 and μa=1.8±0.2 cm −1 at 633 nm)35 and bronchial tumor (μs ′=12.5±0.7 cm −1 and μa=1.2±0.2 cm −1 at 633 nm).35 This paper established an experimental method for determination of optical properties in vivo based on an empirical light transport function. Although the method was probe specific similar functions could be derived for any probe configuration if proper calibration is performed. Blood perfusion was the main variable accounting for differences in the optical properties on the studied tissues. The fraction of blood ranged from 0.1% to 30%. Although normal tissue showed an increased reduced scattering coefficient and tumor tissue showed an increased absorption coefficient for a given patient, the patient-to-patient variability was considerable. 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