Dual-modality thermoacoustic and photoacoustic imaging

Diagnosis of early breast cancer is the key to survival. The combined contrasts from thermoacoustic and photoacoustic tomography: TAT and PAT) can potentially predict early stage breast cancer. We have designed and engineered a breast imaging system integrating both thermoacoustic and photoacoustic imaging techniques to achieve dual-contrast: microwave and light absorption), non-ionizing, low-cost, high-resolution, three-dimensional breast imaging. We have also developed a novel concept of using a negative acoustic lens to increase the acceptance angle of an unfocused large-area ultrasonic transducer: detector), leading to more than twofold improvement of the tangential resolution in both TAT and PAT when the object is far from the scanning center. A contrast agent could be greatly beneficial for early cancer diagnosis using TAT/PAT, because the early stage intrinsic contrast can be low. We have developed a carbon nanotube-based contrast agent for both TAT and PAT. In comparison with deionized water, single-walled carbon nanotubes: SWNTs) exhibited more than twofold signal enhancement for TAT at 3 GHz, and in comparison with blood, they exhibited more than sixfold signal enhancement for PAT at 1064 nm wavelength. Using PAT in conjunction with an intradermal injection of SWNTs, we also showed the feasibility of noninvasive in vivo sentinel lymph node imaging in a rat model. We have also developed and demonstrated molecular photoacoustic imaging using unique soft-type colloidal gold nanobeacons: GNBs) in the near-infrared region. GNBs represent a novel class of stable, colloidal gold nanoparticles, incorporating small metallic gold nanoparticles that can clear from the body when the particles are metabolically disrupted. We have also imaged the sentinel lymph node using different sizes of GNBs, showing that size plays an important role in their in vivo behavior and uptake to the lymph nodes. In addition to providing diagnostic imaging, TAT and PAT can be used in therapy for real-time temperature monitoring with high spatial resolution and high temperature sensitivity, which are both needed for safe and efficient thermotherapy. Using a tissue phantom, these noninvasive methods have been demonstrated to have a high temperature sensitivity of 0.15 0C at 2 s temporal resolution: 20 signal averages)

Eigenspace-Based Minimum Variance Combined with Delay Multiply and Sum Beamformer: Application to Linear-Array Photoacoustic Imaging

In Photoacoustic imaging, Delay-and-Sum (DAS) algorithm is the most commonly used beamformer. However, it leads to a low resolution and high level of sidelobes. Delay-Multiply-and-Sum (DMAS) was introduced to provide lower sidelobes compared to DAS. In this paper, to improve the resolution and sidelobes of DMAS, a novel beamformer is introduced using Eigenspace-Based Minimum Variance (EIBMV) method combined with DMAS, namely EIBMV-DMAS. It is shown that expanding the DMAS algebra leads to several terms which can be interpreted as DAS. Using the EIBMV adaptive beamforming instead of the existing DAS (inside the DMAS algebra expansion) is proposed to improve the image quality. EIBMV-DMAS is evaluated numerically and experimentally. It is shown that EIBMV-DMAS outperforms DAS, DMAS and EIBMV in terms of resolution and sidelobes. In particular, at the depth of 11 mm of the experimental images, EIBMV-DMAS results in about 113 dB and 50 dB sidelobe reduction, compared to DMAS and EIBMV, respectively. At the depth of 7 mm, for the experimental images, the quantitative results indicate that EIBMV-DMAS leads to improvement in Signal-to-Noise Ratio (SNR) of about 75% and 34%, compared to DMAS and EIBMV, respectively.Comment: arXiv admin note: substantial text overlap with arXiv:1709.0796

Tangential resolution improvement in thermoacoustic and photoacoustic tomography using a negative acoustic lens

We developed a novel concept of using a negative acoustic lens to increase the acceptance angle of an unfocused large-area ultrasonic transducer (detector), leading to more than twofold improvement of the tangential resolution in both thermoacoustic and photoacoustic tomography. In both thermoacoustic and photoacoustic tomography, for a given transducer bandwidth, the aperture size of the detector affects the tangential resolution greatly when the object of interest is near the detector surface. We were able to overcome such tangential resolution deterioration by attaching an acoustic concave lens, made of acrylic in front of the flat detector surface. We then quantified the tangential resolution improvement using phantom images. We also showed that the use of the negative lens preserves the shape of an object after the image is reconstructed

Effect of Monomer Diffusion on Photoinduced Shrinkage in Photopolymer Layers Determined by Electronic Speckle Pattern Interferometry

The aim of this study is to determine the effect of monomer diffusion on the photoinduced shrinkage profile in acrylamide based photopolymer layers during holographic recording. Using phase shifting electronic speckle pattern interferometry the displacement at each pixel in the image of the layer is measured. The complete displacement profile of the layer was obtained using phase shifting technique. We observed a reduction in shrinkage as a result of monomer diffusion from unexposed regions of holographic exposure. As a result of diffusion the maximum shrinkage was reduced by 26 % from 7.18μm to 5.28μm in a photopolymer layer of thickness160 ± 3 μm after 84 seconds of recording

Image distortion in thermoacoustic tomography caused by microwave diffraction

We report an intrinsic image distortion in microwave-induced thermoacoustic tomography. The distortion, due to microwave diffraction in the object to be imaged, leads to nonuniform excitation of acoustic pressure during microwave illumination. Both numerical simulations and phantom experiments demonstrate this phenomenon. A method of partial correction is also provided

RF diffraction effect in RF-induced thermoacoustic tomography: calibration and distortion

Because the wavelengths of radio-frequency (RF) waves used in thermoacoustic tomography (TAT) are comparable with the size of detected objects, RF diffraction plays important roles in TAT. The RF diffraction affects not only the global distribution of the RF field in the tissue, but also local RF energy deposition. In this paper, we discussed these two major effects. Both numerical simulations and phantom experiments are done to demonstrate these phenomena. We also provide a partial correction method for the image distortion and a calibration algorithm for image calibration

Tissue temperature monitoring using thermoacoustic and photoacoustic techniques

Real-time temperature monitoring with high spatial resolution (~1 mm) and high temperature sensitivity (1 °C or better) is needed for the safe deposition of heat energy in surrounding healthy tissue and efficient destruction of tumor and abnormal cells during thermotherapy. A temperature sensing technique using thermoacoustic and photoacoustic measurements combined with a clinical Philips ultrasound imaging system (iU22) has been explored in this study. Using a tissue phantom, this noninvasive method has been demonstrated to have high temporal resolution and temperature sensitivity. Because both photoacoustic and thermoacoustic signal amplitudes depend on the temperature of the source object, the signal amplitudes can be used to monitor the temperature. The signal is proportional to the dimensionless Grueneisen parameter of the object, which in turn varies with the temperature of the object. A temperature sensitivity of 0.5 °C was obtained at a temporal resolution as short as 3.6 s with 50 signal averages

Application of Phase Shifting Electronic Speckle Pattern Interferometry in Studies of Photoinduced Shrinkage of Photopolymer Layers

Photoinduced shrinkage occurring in photopolymer layers during holographic recording was determined by Phase Shifting Electronic Speckle Pattern Interferometry. Phase maps were calculated from the changes in intensity at each pixel due to the phase differences introduced between object and reference beams. Shrinkage was then obtained from the changes in phase as recording proceeded. The technique allows for whole field measurement of the dimensional changes in photopolymers during holographic recording

Photo-acoustic tomographic image reconstruction from reduced data using physically inspired regularization

We propose a model-based image reconstruction method for photoacoustic tomography(PAT) involving a novel form of regularization and demonstrate its ability to recover good quality images from significantly reduced size datasets. The regularization is constructed to suit the physical structure of typical PAT images. We construct it by combining second-order derivatives and intensity into a non-convex form to exploit a structural property of PAT images that we observe: in PAT images, high intensities and high second-order derivatives are jointly sparse. The specific form of regularization constructed here is a modification of the form proposed for fluorescence image restoration. This regularization is combined with a data fidelity cost, and the required image is obtained as the minimizer of this cost. As this regularization is non-convex, the efficiency of the minimization method is crucial in obtaining artifact-free reconstructions. We develop a custom minimization method for efficiently handling this non-convex minimization problem. Further, as non-convex minimization requires a large number of iterations and the PAT forward model in the data-fidelity term has to be applied in the iterations, we propose a computational structure for efficient implementation of the forward model with reduced memory requirements. We evaluate the proposed method on both simulated and real measured data sets and compare them with a recent reconstruction method that is based on a well-known fast iterative shrinkage threshold algorithm (FISTA).Comment: This manuscript has been published in Journal of Instrumentatio