A frequency multiplexed near infra-red topography system for imaging functional activation in the brain N. Everdell, A. Gibson, I. D. C. Tullis, T. Vaithanian, J. Hebden and D. Delpy Department of Medical Physics & Bioengineering, University College London, 11-20 Capper Street, London WC1E 6JA, UK Email:everdell@medphys.ucl.ac.uk Abstract: we have developed a novel near-infrared optical topography system that can acquire images at 10 frames per second. Sixteen laser diode sources (at 785 and 850 nm) are illuminated simultaneously, and each of 8 avalanche photodiode detectors records light from multiple sources. In this system, the contribution from each source is demultiplexed in software using fast Fourier transforms. This allows for a more flexible, portable and less complex system than using traditional hardware demodulation techniques. It will eventually incorporate 64 sources and 32 detectors. We will report on the initial clinical investigations that have been undertaken using the new instrument. 2000 Optical Society of America OCIS codes: (170.3880) Medical and biological imaging 1. Introduction Diagnostic methods are being developed which exploit the high transmittance of tissue at near-infrared wavelengths. In particular, the different specific absorption characteristics of oxyhaemoglobin and deoxyhaemoglobin enable blood content and oxygenation to be derived. Infra-red topography enables spatially resolved changes in activation to be recorded from an array of sources and detectors placed against the scalp. This provides a two dimensional map of functional activity within the tissue. 1 The Hitachi ETG 100 optical topography system has 20 laser diode sources (10 at each of 2 wavelengths of 780 and 830 nm) and 8 avalanche photodiode detectors. Each laser diode is intensity modulated at a different frequency. The output from each detector is fed into a set of lock-in amplifiers which can discriminate between the different frequencies in the detected signal. This method, known as frequency multiplexing, allows all the sources to be illuminated simultaneously, so that an image can be obtained more quickly. This system has been used in a wide variety of investigations 2, 3, 4, 5. Similar systems have been 6 7 employed to image the cortex of newborn babies. Danen et al. have developed a system with 12 sources and 4 detectors that records both the amplitude and the phase of the modulated signal. Francheschini et al.8 have built a similar system, based on 16 intensity modulated sources and two photomultiplier tube detectors. 2. The UCL Topography System At UCL we have developed a new approach to optical topography that involves using software to demultiplex multiple source signals which are modulated at different frequencies in parallel. This allows great flexibility in the positioning of sources and detectors. Different optode arrays can be used with only minor changes to the software. It currently employs 16 laser diode sources, (8 at 785 nm and 8 at 850 nm) and 8 avalanche photodiode detectors but will eventually have 64 sources and 32 detectors. With this specification hardware demultiplexing would require over 100 lock-in amplifier circuits, increasing both size and complexity. A block diagram of the laser sources is shown in figure 1, and the detection system in figure 2. All the multiplexing frequencies are derived from the same 20 MHz oscillator, which prevents any relative drift in frequency between different sources. The oscillator signal is fed into a frequency divider which reduces the frequency to the kilohertz range. A digital potentiometer then enables the amplitude of the resulting square wave to be adjusted to the required level. The square wave then modulates the laser diode. Currently there are 16 laser diode sources (8 lasers at 785 nm and 8 at 850 nm), driven by frequencies ranging from 2 kHz to 4 kHz . The frequencies are kept within one octave to prevent any possible interference from harmonics. There are currently 8 Hamamatsu C5460-01 avalanche photodiode detectors (APDs) with a 3 mm diameter collecting area and a measurement bandwidth of approximately 100 kHz. The signal from these is ac coupled into an 8 pole low pass filter that has a 3 dB point at 4 kHz. This allows for 64 dB of roll off before the Nyquist frequency, so aliasing is prevented. The output from the anti-aliasing filter is fed into an analogue to digital converter which samples each channel at 20 kHz. The signal can be sampled directly from the APD (both dc and ac components) or from the output of the low pass filter (just an ac component). The data is then detrended using a Hanning window on a 2048 point sample. An FFT is then performed to separate the different source signals. This represents a novel alternative to the more usual technique of using lock-in amplifiers. Frequency divider digital potentiometer laser diode driver 5mW @ 780nm 20 MHz / 10,000 = 2 kHz 20 MHz oscillator Frequency divider digital potentiometer laser diode driver To other channels 5mW @ 850nm 20 MHz / 9852 = 2.03 kHz Figure 1: source Avalanche photodiode detector Low pass filter Under PC control DC AC Analogue to digital converter PC Figure 2: Detector The source signals are demultiplexed in software rather than hardware. From this information a spatial map of the tissue under interrogation can be built up. In addition to this frequency multiplexed scheme, the system can also operate in a time multiplexed scheme, which involves illuminating individual laser sources in turn for a short period. This involves switching individual laser sources on in turn, for a short time. Although this has the disadvantage of slowing the overall data acquisition rate, the overall signal to noise ratio of the data is increased as there is less background light contributing shot noise to the measurement. In both schemes of operation, a subset of sources can be selected so that a smaller area of the cortex can be focussed upon, and the rate of acquisition of images increased. Both sources and detectors are coupled to the tissue under investigation via simple multimode PMMA optical fibres, of 1 mm diameter. These fibres are held in an array by inserting them into a thermoplastic shell that can be moulded to the shape of the part of the body under investigation. The interior surface of the shell is lined with soft, light-absorbing foam. The signal to noise ratio across 3 cm of tissue equivalent phantom material at maximum optical power is approximately 600:1 (56 dB). Currently the data acquisition card encodes the data to a depth of 14 bits, although this will eventually be increased to 16 bits. Figure 3 Figure 4 3. Experimental Work 3.1 Liquid Phantom For a preliminary evaluation of the system an array has been devised that employs 16 sources and 4 detectors, as shown in figure 3. This array has potentially many distinct source-detector separations. The maximum separation over which a signal can be detected through tissue has been found to be approximately 40 mm. Therefore for this array the useful separations range from 15.8 mm to 38.1 mm. For the middle two detectors a signal can be obtained from the six nearest sources. The array is shown attached to a liquid phantom in figure 4 above. The phantom consists of a tank of scattering fluid with one wall made from a 5 mm thick epoxy resin slab. The tank itself is filled with an aqueous solution of intralipid and absorbing dye, with optical properties of ?a = 0.007 mm-1 and ? s = 0.8 mm-1. A stepper motor is mounted on the lid, which enables a small target to be rotated within the liquid suspended on a short length of wire. The target consists of an epoxy resin cylinder, 10 mm in length and 10 mm in diameter, with the same scattering properties as the surrounding liquid, and ten times the absorption. The motor enables the target to be rotated in a plane perpendicular to the face of the phantom in a circle of diameter 60 mm, and at a speed of up to 1 rev/sec. The first experiment with this phantom involved recording two sets of data, first with the target removed, and second with a target in a fixed position. Data was collected for 30 seconds in each case. The centre of the cylinder was placed 15 mm below the plane of the optode array, along a normal line that passed through the centre of the optode array. Three-dimensional images representing the difference in optical properties between the two states were reconstructed using the Rytov approximation 9. Measured changes in log(amplitude), y, were assumed to be related to changes in the optical absorption, x, by the matrix equation y=Ax, where A is the sensitivity matrix. Here, A was calculated by solving the diffusion equation using the finite element method applied to a finite 10 element mesh of linear tetrahedra which was generated using Netgen (figure 5). A and y were normalised by dividing by the initial estimated background absorption. Images were generated by Tikhonov regularisation of the Moore-Penrose generalised inverse x = AT (AAT+λI) y where the regularisation parameter was set to 1 % of the largest singular value of AAT. Figure 5 shows three orthogonal slices through the centre of the target. The position of the image in the (x, y) plane (i.e. in the plane of the optode array) correlates closely with the position of the target. In the z direction, the centre of the image appears at a depth of 11 mm, but the actual depth of the centre of the target was 15 mm. The x-y plane image shows absorption increase artefacts coincident with the optode positions. This is due to increased sensitivity immediately under the optodes. The effect of this will be 11 reduced by normalizing to a standard deviation image calculated from baseline data . Figure 5 3.2 Motor Cortex Experiment Initial experiments on human volunteers are currently in progress in order to display functional activation of the motor cortex. The thermoplastic of the array can be moulded to fit the shape of each individual subject's head. The array was designed with motor cortex experiments in mind. The inner rectangle in figure 3 represents an estimate of the size and shape of the adult motor cortex, based on anatomical information. 4. References 1. Yamashita, Y., Maki, A., and Koizumi, H. (1999). Measurement system for noninvasive dynamic optical topography.Journal of Biomedical Optics, 4(4), 414 - 417. 2. Maki, A., Yamashita, Y., Ito, Y., Watanabe, E., Mayanagi, Y., & Koizumi, H. 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