Deep Tissue Imaging with Short-wave Infrared Light and Adaptive Optics

Deep Tissue Imaging with Short-wave Infrared Light and Adaptive Optics
Author: Fei Xia
Publisher:
Total Pages: 0
Release: 2021
Genre:
ISBN:

Imaging with high spatial resolution and high specificity within intact tissues at depth has long been a critical research objective for implementation in biological studies. The development of imaging tools with the capability of deep imaging at cellular resolution would allow for more realistic and complicated biological hypotheses to be tested in their natural environment - intravitally. The most challenging aspects of such tool developments involve light scattering and aberration, which cause the light to distort along its propagation direction, limiting both its imaging depth and resolution. This thesis attempts to provide several solutions to overcomes these challenges. To overcome light scattering, imaging within the short-wave infrared region (SWIR, wavelength 1 - 2.5 micrometers) is explored in chapters 2-4. In chapter 2 and 3, reflectance confocal and fluorescence confocal microscopy are demonstrated providing 2-4 times deeper penetration than any previously reported work and preclude the possibility of using one-photon confocal microscopy for deep imaging, a method that has been rarely discussed. Furthermore, a study on the impact of staining inhomogeneity on the depth limit of fluorescence confocal microscopy also demonstrated the potential of confocal microscopy combined with SWIR and low staining inhomogeneity to achieve unprecedented imaging depth. After demonstrating the deep imaging capability of one-photon imaging at depth with a SWIR light source, a multimodal system combining three-photon, third-harmonic, and optical coherence microscopy (OCM) is demonstrated in chapter 4. This multimodal system was able to achieve simultaneous imaging depth comparable to imaging with multiple contrast mechanisms in terms of the fluorescence, the harmonic signal, and the backscattering. Furthermore, this multimodal system provided complementary information about the mouse in vivo and represented a powerful intravital biological imaging tool. To overcome light aberration, adaptive optical methods are demonstrated in chapters 5-7. In chapter 5, a sensorless, adaptive optics, and indirect wavefront sensing system is demonstrated to improve SWIR-excited three-photon imaging, achieving about 7x signal enhancement in the mouse hippocampus area. This method is based on using the nonlinear three-photon fluorescence signal as feedback and involves light exposure during the optimization process. To reduce light exposure, a more direct wavefront sensing method is explored using a SWIR OCM system to directly sense the complex field of a biological sample in chapter 6. The advantage of this system, including its potential high-speed wavefront sensing and offline wavefront estimation, and its limitations with respect to phase stability are discussed. Finally, in chapter 7, a direct wavefront sensing method based on a cheap silicon wavefront sensor is presented. This method provides a convenient approach for aberration measurement with any experiment that involves SWIR ultrafast laser. This thesis shows the great promise to achieve high-resolution deep tissue imaging at a larger depth by combining longer wavelength at short-wave infrared region and adaptive optics. It is anticipated that this thesis work will open doors to much more exciting biological research in the near future.

Ultrasound B-mode Imaging: Beamforming and Image Formation Techniques

Ultrasound B-mode Imaging: Beamforming and Image Formation Techniques
Author: Giulia Matrone
Publisher: MDPI
Total Pages: 148
Release: 2019-10-04
Genre: Technology & Engineering
ISBN: 3039211994

Ultrasound medical imaging stands out among the other diagnostic imaging modalities for its patient-friendliness, high temporal resolution, low cost, and absence of ionizing radiation. On the other hand, it may still suffer from limited detail level, low signal-to-noise ratio, and narrow field-of-view. In the last decade, new beamforming and image reconstruction techniques have emerged which aim at improving resolution, contrast, and clutter suppression, especially in difficult-to-image patients. Nevertheless, achieving a higher image quality is of the utmost importance in diagnostic ultrasound medical imaging, and further developments are still indispensable. From this point of view, a crucial role can be played by novel beamforming techniques as well as by non-conventional image formation techniques (e.g., advanced transmission strategies, and compounding, coded, and harmonic imaging). This Special Issue includes novel contributions on both ultrasound beamforming and image formation techniques, particularly addressed at improving B-mode image quality and related diagnostic content. This indeed represents a hot topic in the ultrasound imaging community, and further active research in this field is expected, where many challenges still persist.

New Imaging Technique Gets Under the Skin ... Deep

New Imaging Technique Gets Under the Skin ... Deep
Author:
Publisher:
Total Pages:
Release: 2000
Genre:
ISBN:

Using a combination of simple optical techniques, plain old white light, and image processing, two Lawrence Livermore researchers and a colleague from the City College of New York (CCNY) have developed a technique for imaging tissue structures--tendons, veins, tumors--deep beneath the skin. The ultimate goal of this research is to dramatically improve the ability to perform minimally invasive cancer detection. ''With a technique called spectral polarization difference imaging [SPDI], we use different wavelengths of light to reach different depths. We also use the polarization properties of the light to help us select the light that penetrates into the tissue and is reflected back out of the tissue as opposed to the light that bounces off the tissue surface, '' says Livermore physicist Harry Radousky, acting Director of University Relations. ''We then image the tissue structures at the different depths, based on how these structures absorb, scatter, and depolarize light. This technique, combined with fiber optics, charge-coupled-device cameras, and image enhancement calculations, allows us to image up to 1.5 centimeters inside tissue, far deeper than the millimeter depths managed by other existing optical techniques.'' The basic research to develop this technique was funded by the Department of Energy through one of its centers of excellence in laser medicine--the DOE Center for Laser Imaging and Cancer Diagnostics directed by Robert Alfano, M.D., at CCNY. A branch of this center is hosted at the Laboratory within the Materials Research Institute. wavelengths in the visible spectrum are scattered and absorbed within the tissue. For even longer wavelengths--those in the near-infrared spectral region--scattering and absorption of the photons is even further reduced.'' The light that passes through the filter then passes through a polarizer. The light that finally hits the tissue sample is thus not only of a given wavelength but also of a selected polarization. As photons penetrate the tissue, they interact with various tissue structures that may have optical properties different from those of the host tissue. Finally, some of the injected photons emerge from the tissue in the backscattering direction. The intensity of the backscattered light depends on the optical characteristics of the tissue at the sample's surface as well as below its surface at a particular location. Light that reflects from the surface (known as a spectral reflection) is polarized and can be removed with a second polarizer set to reject this light. This phenomenon is similar to the way sunglasses work to remove the polarized glare from surfaces, such as the water surface in a swimming pool. The light that backscatters from somewhere below the surface of the tissue is depolarized and consequently can pass through this second polarizer. This remaining light passes through a 50-millimeter camera lens, which is coupled to a CCD detector that captures the image in an exposure of a few milliseconds.

Spectral Ultrasound Characterization of Tissues and Tissue Constructs

Spectral Ultrasound Characterization of Tissues and Tissue Constructs
Author: Madhu Sudhan Reddy Gudur
Publisher: LAP Lambert Academic Publishing
Total Pages: 124
Release: 2014-02-28
Genre:
ISBN: 9783659114847

Even though ultrasound imaging is widely used in clinical diagnosis and image-guided interventions, the field is far behind other areas of clinical image analysis, such as MRI, CT and X-ray mammography. In this book, non-destructive and non-invasive ultrasound characterization techniques were developed to study the tissue micro-structural details using high frequency spectral ultrasound imaging (SUSI). Spectrum of the backscattered RF ultrasound data contains tissue microstructural properties such as scatterer density, size and concentration and can be estimated with an inverse model. These techniques were explored in in-vitro conditions of acellular and cellular tissue engineered constructs and then on ex-vivo cardiac tissues for their micro-structural characterization. Even though the results from the developed techniques show great promise in in-vitro and ex-vivo settings, additional work needs to be carried out to demonstrate the applicability of the techniques in in-vivo, particularly to translate these techniques into clinic.

Image-based Mechanical Characterization of Soft Tissue Using Three Dimensional Ultrasound

Image-based Mechanical Characterization of Soft Tissue Using Three Dimensional Ultrasound
Author: Petr Jordán
Publisher:
Total Pages: 344
Release: 2008
Genre:
ISBN: 9780549876779

A constitutive inverse modeling framework is presented, relying on conventional indentation testing along with real-time three dimensional ultrasound imaging of the internal tissue deformation. The internal organ deformation field is estimated with a novel, mechanically regularized nonrigid image registration algorithm. A physically- based visco-elastic constitutive model of the liver response is developed and its material parameters are estimated within the proposed inverse modeling framework. Three perfused porcine livers were characterized using tests representative of surgical manipulation, including cyclic loading tests spanning applied strain rates between 0.01 s -1 and 1.0 s -1 and stress relaxation tests. The proposed model and the identified material parameters offer good fit to the experimental response and show good predictive capability for alternative loading histories. The proposed material testing methods are independent of imaging modality and constitutive law, suggesting potential applications for other tissues and scales (i.e. nanoindentation, confocal microscopy, etc.).

Ultrasound-guided Optical Techniques for Cancer Diagnosis

Ultrasound-guided Optical Techniques for Cancer Diagnosis
Author: Atahar Kamal Mostafa
Publisher:
Total Pages: 91
Release: 2019
Genre: Electronic dissertations
ISBN:

Worldwide, breast cancer is the most common cancer among women. In the United States alone, the American cancer society has estimated there will be 271,270 new breast cancer cases in 2019, and 42,260 lives will be lost to the disease. Ultrasound (US), mammography, and magnetic resonance imaging (MRI) are regularly used for breast cancer diagnosis and therapy monitoring. However, they sometimes fail to diagnose breast cancer effectively. These shortcomings have motivated researchers to explore new modalities. One of these modalities, diffuse optical tomography (DOT), utilizes near-infrared (NIR) light to reveal the optical properties of tissue. NIR-based DOT images the contrast between a suspected lesion's location and the background tissue, caused by the higher NIR absorption of the hemoglobin which characterizes tumors. The limitation of high light scattering inside tissue is minimized by using ultrasound image to find the tumor location.This thesis focuses on developing a compact, low-cost ultrasound guided diffuse optical tomography imaging system and on improving optical image reconstruction by extracting the tumor's location and size from co-registered ultrasound images. Several electronic components have been redesigned and optimized to save space and cost and to improve the user experience. In terms of software and algorithm development, manual extraction of tumor information from ultrasound images has been replaced by using a semi-automated ultrasound image segmentation algorithm that reduces the optical image reconstruction time and operator dependency. This system and algorithm have been validated with phantom and clinical data and have demonstrated their efficacy. An ongoing clinical trial will continue to gather more patient data to improve the robustness of the imaging algorithm.Another part of this research focuses on ovarian cancer diagnosis. Ovarian cancer is the most deadly of all gynecological cancers, with a less than 50% five-year survival rate. This cancer can evolve without any noticeable symptom, which makes it difficult to diagnose in an early stage. Although ultrasound-guided photoacoustic tomography (PAT) has demonstrated potential for early detection of ovarian cancer, clinical studies have been very limited due to the lack of robust PAT systems.In this research, we have customized a commercial ultrasound system to obtain real-time co-registered PAT and US images. This system was validated with several phantom studies before use in a clinical trial. PAT and US raw data from 30 ovarian cancer patients was used to extract spectral and statistical features for training and testing classifiers for automatic diagnosis. For some challenging cases, the region of interest selection was improved by reconstructing co-registered Doppler images. This study will be continued in order to obtain quantitative tissue properties using US-guided PAT.