Open Access
12 April 2018 Weak light emission of soft tissues induced by heating
Antonello E. Spinelli, Giovanni Durando, Federico Boschi
Author Affiliations +
Abstract
The main goal of this work is to show that soft tissue interaction with high-intensity focused ultrasound (HIFU) or direct heating leads to a weak light emission detectable using a small animal optical imaging system. Our results show that the luminescence signal is detectable after 30 min of heating, resembling the time scale of delayed luminescence. The imaging of a soft tissue after heating it using an HIFU field shows that the luminescence pattern closely matches the shape of the cone typical of the HIFU beam. We conclude that heating a soft tissue using two different sources leads to the emission of a weak luminescence signal from the heated region with a decay half-life of a few minutes (4 to 6 min). The origin of such light emission needs to be further investigated.

1.

Introduction

Optical imaging is a widely used preclinical and clinical tool to investigate different in vivo biological processes.1 In particular, bioluminescence imaging, Cerenkov luminescence imaging (CLI), and radioluminescence imaging (RLI) can be used to detect in vivo weak light emission using a small animal optical imaging system. All these imaging approaches do not require the use of any external light source; more precisely, bioluminescence light is produced during the enzymatic reaction of luciferase with its substrate, typically firefly and d-luciferin.

CLI2 is based on detection of Cerenkov radiation induced by charged particle (typically beta plus or beta minus particles) as they travel into biological tissue with a velocity greater than the speed of light in the tissue.3,4

RLI allows the imaging with optical methods of a large variety of radioisotopes, including not just beta but also alpha5 and gamma emitters.68

In this work, we will investigate another source of light emission in soft tissues caused by heating since in preliminary experiments we measured a weak light emission after treating a slab of chicken breast with high-intensity focused ultrasound (HIFU).

HIFU is a noninvasive method developed to treat tumors using an ablative approach, and the basic idea is to use HIFU field to increase the temperature in the focal region to ablate the tumor without damaging the surrounding healthy tissues.9 In this paper, we will provide a set of experimental data showing that the interaction with HIFU or direct heating could lead to a weak light emission detectable using a small animal optical imaging system. To the best of our knowledge, there are no studies in the literature regarding the use of HIFU, as pure heating source at high temperature (90°C), connected with luminescence phenomena.

As will be described in this paper, the emission of visible light could be interpreted as a mechanism to dissipate energy deposited in the heated tissues. To underline the specific source of light emission, we called this phenomenon the heat-induced luminescence (HIL).

2.

Material and Methods

2.1.

High Focused Ultrasound System

The ultrasound field was generated by an HIFU transducer (Type SU-101; Sonic Concepts, Bothell, Washington) in continuous wave mode at f=1.1  MHz connected to a power amplifier (Type AR 100A250A; Amplifier Research, Souderton, Pennsylvania) and a function generator (Type 33250; Agilent, Santa Clara, California). A mechanical adaptor has been used to connect the 2.5-cm-diameter polystyrene tube containing the sample. The HIFU transducer was placed on a 1-cm slab of chicken breast for 1 min. The ultrasound power was 60 W (intensity 8×103  W/cm2) and spot size was (typically) 1-mmwide×3-mmlong. The length of the treatment was chosen to increase the tissue temperature to 90°C, and these settings were found empirically to obtain a detectable emitting thermal lesion [Fig. 1(b)]. The tissue temperature was measured with an FLIR i7 camera (FLIR Systems, Inc., Wilsonville, Oregon), 140×140  pixels, field of view (FoV) 25deg×25deg, accuracy 2%, thermal sensitivity 0.10°C, and minimum focus distance=0.6  m.

Fig. 1

The image shows the tissue HIL by the HIFU field. As can be seen, there is a good match between the white cone region heated by (a) the HIFU field and (b) the HIL of the sample.

JBO_23_4_046003_f001.png

The slab was then cut along the direction of the HIFU field to image the light emission induced by the HIFU from the slice surface to the focus region.

2.2.

Direct Heating Source

Direct heating was obtained using a conventional welding device equipped with a thermometer, and the temperature of the tip was set to 110°C, 140°C, 180°C, and 250°C. The tip was placed with a little pressure on top of a 1-cm slab of chicken breast for 1, 10, and 30 s.

Since different pressure and inclination of the welding probe on the sample may limit the reproducibility of the HIL magnitude, measurements were repeated three times on different regions of the tissue.

2.3.

Heat-Induced Luminescence Images Acquisition

Optical images of heated tissues were acquired using the IVIS Spectrum optical imager (PerkinElmer, Waltham, Massachusetts). The IVIS Spectrum is based on a cooled (90°C), back-thinned, and back-illuminated CCD camera. The CCD has an active array of 1920×1920  pixels with a dimension of 13  μm. Images corrected for dark measurements were acquired with Living Image 4.5 (PerkinElmer).

The acquisition parameters for direct heating were: exposure time=300  s, aperture f=1, binning B=16, and FoV=13.0  cm. Six images were acquired for a total scanning time equal to 30 min.

HIL images when using HIFU heating were acquired using the following setting: exposure time=120  s, aperture f=1, binning B=16, and FoV=13.0  cm. Fifteen images were acquired for a total scanning time equal to 30 min. A trade-off was necessary between exposure time and sampling of the HIL; in the case of the HIFU, we opted for a better time sampling.

2.4.

Heat-Induced Luminescence Image Analysis

HIL image analysis was performed by placing region of interests (ROIs) over the slab of chicken breast, and the total flux F(t) (photons/s) within the ROI was measured. Images were analyzed using Living Image 4.5 (PerkinElmer). The values of the flux measured at different time points were fitted using the following equation:

Eq. (1)

F(t)=(F0B)ekt+B,
where the fitting parameters F0, B, and k (1/min) are the intercept, the plateau, and the decay rate constant of the luminescence signal, respectively. The fitting was performed using a nonlinear least square algorithm implemented in GraphPad Prism, version 5.0.

3.

Results

3.1.

High-Intensity Focused Ultrasound Heating Source

The image in Fig. 1 shows the tissue HIL caused by the HIFU field in a slab of chicken breast. As can be seen, there is a good match between the cone heated by the HIFU field and the HIL of the sample.

The plot in Fig. 2 shows the decay of the HIL signal, and the half-life resulting from the fit of Eq. (1) was equal to 3.6 min and the R2 value was equal to 0.99.

Fig. 2

The plot shows the decay of the HIL signal induced by the HIFU field, and the half-life resulting from the fit was equal to 3.6 min and the R2 value was equal to 0.99.

JBO_23_4_046003_f002.png

3.2.

Direct Heating Source

The image in Fig. 3 shows the tissue HIL after 30 min when heating at a temperature of 140°C for 1, 10, and 30 s of a small region (3- to 5-mm diameter) of the sample. As can be seen, HIL is clearly detectable in the tissue in particular when heating for 30 s.

Fig. 3

The image shows an example of tissue HIL obtained after 30 min from direct heating using a conventional welding device at a temperature of 140°C for 1, 10, and 30 s (from left to right).

JBO_23_4_046003_f003.png

Considering the small dimension of the heated region and the delay of 30 min between the heating and image acquisition, it is reasonable to consider the whole sample temperature being equal to the environment (about 25°C). This shows that the HIL signal is, thus, dependent only on the heating time and not on the actual temperature of the spot.

The plots in Figs. 4Fig. 56 show the decay of the HIL signal and the corresponding fitting for the different temperatures 110°C, 140°C, 180°C, and 250°C, and heating times equal to: 1, 10, and 30 s. The fitting R2 value is always >0.95 showing a good agreement with Eq. (1).

Fig. 4

The plot shows the decay of the HIL signal and the corresponding fitting (dotted line) for the different temperatures and a heating time equal to 1 s. The heating was obtained with a welding device.

JBO_23_4_046003_f004.png

Fig. 5

The plot shows the decay of the HIL signal and the corresponding fitting (dotted line) for the different temperatures and a heating time equal to 10 s. The heating was obtained with a welding device.

JBO_23_4_046003_f005.png

Fig. 6

The plot shows the decay of the HIL signal and the corresponding fitting (dotted line) for the different temperatures and a heating time equal to 30 s. The heating was obtained with a welding device.

JBO_23_4_046003_f006.png

The values of the half-life obtained from the fit can be found in Fig. 7. Except for one outlier, the range of the half-life is between 4 and 6 min. As shown in Fig. 7, the value of the half-life is mainly dependent on the temperature and not on the heating time. More precisely, the half-life is similar for the similar temperature even if the heating times are different.

Fig. 7

The plot shows the half-life obtained from fitting the HIL signal decay using Eq. (1). Except for two outliers, the range of the half-life is between 4 and 7 min. The heating was obtained with a welding device.

JBO_23_4_046003_f007.png

These data are in agreement with the results obtained using HIFU.

4.

Discussion and Conclusion

In this work, we performed optical imaging of the weak light emission of a soft tissue induced in tissue by heat; in our knowledge, a detailed analysis of this phenomenon is not reported in literature. The HIL effect might lead to image artifacts when acquiring CLI or RLI images of specimens from surgery10,11 removed using a diathermy device or a laser scalpel.

As shown in Fig. 3, the HIL signal is clearly detectable with respect to background even after 30 min of heating the tissue, and thus, this effect resembles the typical time scale of delay luminescence. We imaged for longer time (30 min equal to 5 half-life) to properly estimate the half-life of the HIL signal with respect to the CLI. More precisely, it is well-known that the half-life of the CLI is equal to the physical half-life of the isotope (e.g., 109 min for F18 or 64.2 h for Y90), and thus, a possible approach to limit the contribution of HLI will be to acquire CLI image at later time, e.g., more than 30 min, where the HIL is about 3% of the initial signal. As mentioned in Sec. 3, the interesting aspect is that the decay pattern of the signal is mainly dependent by the initial temperature while is less dependent on the heating time. We can, thus, claim that the effect is mainly dependent on the initial energy deposition only. However, it is necessary to point out that a longer heating time causes tissue carbonization and this might slightly affect the results by reducing the amount of light emitted. We measured the light emission of carbonized regions (using a small ROI) and we found that the flux was about five times lower than in noncarbonized areas.

The imaging of a soft tissue after heating using an HIFU field shows that the luminescence pattern closely matches the shape of the cone typical of an HIFU beam. The decay of the HIL signal is very similar to the decay obtained with the direct heating of the sample using a conventional welding device.

The detection of the HIL will be heavily dependent on the source intensity (e.g., temperature), tissue thickness, optical properties, and more importantly on the system minimum detectable radiance.

We conclude that heating a soft tissue using two different sources lead to the emission of a weak luminescence from the heated region with a decay half-life of a few minutes (4 to 6 min).The origin of such light emission needs to be further investigated; however, a possible explanation of the HIL is the light emission due to the generation of reactive oxygen species after an heat stress.12

Disclosures

The authors have no relevant financial interest to disclose.

References

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Biography

Antonello E. Spinelli received his PhD in medical physics from the Institute of Cancer Research, University of London, UK, in 2004, and the medical physics expert degree from the University of Bologna in 2009. He is the small animal optical imaging research coordinator of the San Raffaele Scientific Institute, Milan, Italy. His main research areas are in vivo optical imaging, Cerenkov and radioluminescence imaging (RLI), and preclinical CT imaging.

Giovanni Durando received his PhD in metrology from Politecnico di Torino, Italy, in 2003. In May 2009, he accepted a permanent position as a physicist at the Istituto Nazionale di Ricerca Metrologica in the Metrology for the Quality of Life Department. He is an active member of IEC-TC 87 (Ultrasonics) and is a delegate for the Consultative Committee for Acoustic, Ultrasound, and Vibration. His experimental activity is focused on acoustics, ultrasound, and metrology.

Federico Boschi received his PhD from the University of Verona in 2008 and is currently a researcher at the Optical Imaging Laboratory, University of Verona. Before his PhD, he was involved in different research activities in astrophysics and he switched to preclinical imaging working with small animal MR and optical imaging in 2004. His main research areas are Cerenkov and RLI, in vivo optical imaging using nanoparticles, and small animal magnetic resonance imaging.

© 2018 Society of Photo-Optical Instrumentation Engineers (SPIE) 1083-3668/2018/$25.00 © 2018 SPIE
Antonello E. Spinelli, Giovanni Durando, and Federico Boschi "Weak light emission of soft tissues induced by heating," Journal of Biomedical Optics 23(4), 046003 (12 April 2018). https://doi.org/10.1117/1.JBO.23.4.046003
Received: 4 January 2018; Accepted: 19 March 2018; Published: 12 April 2018
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KEYWORDS
Tissues

Luminescence

Imaging systems

Ultrasonography

Light

Optical imaging

Signal detection

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