Download or read book Methods for Improving the Reconstruction of Diffuse Optical Tomography for Breast Cancer Detection written by Murad Mohsen Althobaiti and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Breast Cancer Detection with Diffuse Optical Tomography written by Changqing Li and published by . This book was released on 2006 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Initial clinical results show that the scattering particle size and volume fraction at cellular level are potential new parameters that could be used for differentiating malignant from benign lesions. A new method, namely spectrally constrained DOT, is also developed to directly reconstruct tissue chromophore concentrations and volume fraction of scattering particles simultaneously. The absorption extinction coefficient spectra of oxy-hemoglobin, deoxy-hemoglobin as well as the absorption spectrum of water are measured using a mixture of human blood and Intralipid solution with the imaging system developed. The quality of the reconstructed images is improved substantially when the measured spectra are utilized, compared with that of the images recovered with the spectra obtained from the literature.

Download or read book Optical Detection of Cancer written by Arlen D. Meyers and published by World Scientific. This book was released on 2012 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ch. 1. The optical detection of cancer: an introduction / Toby Steele and Arlen Meyers -- ch. 2. Optical coherence tomography in oral cancer / Shahareh Sabet and Petra Wilder-Smith -- ch. 3. Optical coherence tomography in laryngeal cancer / Marcel Kraft and Christoph Arens -- ch. 4. Fluorescence imaging of the upper aerodigestive tract / Christian Stephan Betz, Andreas Leunig and Christoph Arens -- ch. 5. Photodynamic diagnosis and photodynamic therapy techniques / Zheng Huang -- ch. 6. OCT detection of lung cancer / S. Murgu and M. Brenner -- ch. 7. Diffuse optical spectroscopy and imaging in breast cancer / Albert E. Cerussi and Bruce J. Tromberg -- ch. 8. OCT for skin cancer / Gordon McKenzie and Adam Meekings

Download or read book A Diffuse Optical Tomography System Combined with X ray Mammography for Improved Breast Cancer Detection written by Thomas John Brukilacchio and published by . This book was released on 2003 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: The central thesis of this dissertation states that optical imaging of diffuse tissues must be combined in co-registration with a recognized gold standard of mammographic screening, i.e. X-ray mammography, to gain wide acceptance in the clinical environment. This multi-modality imaging approach promises to overcome the deficiencies of both imaging modalities by drawing on the strengths of each. Functional and structural image contrast would be provided by optical and high-resolution structural contrast by X-ray. Furthermore, the structural information provided by X-ray could be used to improve the optical image reconstruction by providing boundary information and soft constraints for weakly correlated structural contrast. Ultimately, image-processing techniques could be developed to provide the radiologist with a three-dimensional image indicative of both optical and X-ray contrast that would provide much greater information content than either modality alone.

Download or read book Diffuse Optical Tomography written by Huabei Jiang and published by CRC Press. This book was released on 2018-09-03 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by an authority involved in the field since its nascent stages, Diffuse Optical Tomography: Principles and Applications is a long-awaited profile of a revolutionary imaging method. Diffuse Optical Tomography (DOT) provides spatial distributions of intrinsic tissue optical properties or molecular contrast agents through model-based reconstruction algorithms using NIR measurements along or near the boundary of tissue. Despite the practical value of DOT, many engineers from electrical or applied mathematics backgrounds do not have a sufficient understanding of its vast clinical applications and portability value, or its uncommon advantages as a tool for obtaining functional, cellular, and molecular parameters. A collection of the author’s research and experience, this book fuses historical perspective and experiential anecdotes with fundamental principles and vital technical information needed to successfully apply this technology—particularly in medical imaging. This reference finally outlines how to use DOT to create experimental image systems and adapt the results of laboratory studies for use in clinical applications including: Early-stage detection of breast tumors and prostate cancer "Real-time" functional brain imaging Joint imaging to treat progressive diseases such as arthritis Monitoring of tumor response New contrast mechanisms and multimodality methods This book covers almost every aspect of DOT—including reconstruction algorithms based on nonlinear iterative Newton methods, instrumentation and calibration methods in both continuous-wave and frequency domains, and important issues of imaging contrast and spatial resolution. It also addresses phantom experiments and the development of various image-enhancing schemes, and it describes reconstruction methods based on contrast agents and fluorescence DOT. Offering a concise description of the particular problems involved in optical tomography, this reference illustrates DOT’s fundamental foundations and the principle of image reconstruction. It thoroughly explores computational methods, forward mathematical models, and inverse strategies, clearly illustrating solutions to key equations.

Download or read book Molecular Diffuse Optical Tomography for Early Breast Cancer Detection and Characterization written by Vasilis Ntziachristos and published by . This book was released on 2001 with total page 51 pages. Available in PDF, EPUB and Kindle. Book excerpt: Herein we demonstrate the construction of the first reported fluorescence animal tomographer for molecular investigations of cancer-associated expression patterns. Using inversion techniques that account for the diffuse nature of photon propagation in tissue and near infrared fluorescent molecular beacons we were able to obtain three-dimensional in-vivo images of cathepsin B expression of orthopic gliomas. We demonstrate that fluorescent probes, activated by carcinogenesis, can be detected with high positional accuracy and high sensitivity in deep tissues, that molecular specificities of different beacons towards enzymes can be resolved, and that tomography of beacon activation is linearly related to enzyme concentration. The tomographic imaging method offers a range of new capabilities for studying biological function using fluorescent chemical sensors, for identifying molecular expression patterns via multispectral imaging and for continuously monitoring drug therapies. It is envisaged that molecular sensing will significantly improve the detection capacity of early cancer since malignancy identification is based on the molecular signals responsible for carcinogenesis and not on structural or functional tissue changes inflicted by well-formed cancers that are currently targeted by traditional medical imaging techniques.

Download or read book Diffuse Optical Tomography written by Ruixin Jiang and published by . This book was released on 2012 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: Diffuse Optical Tomography has drawn more and more interests in the biomedical field over the recent couple of decades due to its ability to noninvasively recover not only tissue structural information but also functional and molecular properties. The contrasts that optical parameters could demonstrate in DOT are usually higher than those of the conventional methods. Based on these contrasts, different approaches had been developed applying DOT for imaging, and so far lots of efforts were spent on detecting breast cancer by imaging tissue absorption and scattering coefficients as well as hemoglobin concentration and oxygen saturation level. In this work, we tried to expand the ability of DOT in breast cancer detection by introducing Phase-contrast diffuse optical tomography (PCDOT). PCDOT uses near-infrared diffusing light to non-invasively reconstruct tissue refractive index (RI) distribution. RI depends on the tissue's physical and chemical properties and previous study revealed that it might serve as a promising imaging parameter in breast cancer detection. We've first developed a 2-step method to improve the PCDOT image both qualitatively and quantitatively at single-wavelength; then we've introduced a multispectral PCDOT algorithm to more efficiently reconstruct RI simultaneously with other tissue functional parameters and attempted to improve this algorithm by different structural regularization methods.

Download or read book Deep Learning Methods for Reconstruction and Analysis of Diffuse Optical Tomography Images of Breast Cancer Lesions written by Hanene Ben Yedder and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The development of an accurate, efficient, portable, and affordable method for identifying breast cancer is critical for both early detection and improved prognosis. Medical imaging modalities play a critical role in cancer screening and treatment monitoring. Diffuse optical tomography (DOT) is a non-invasive imaging modality that can be used in a low-complexity probe design, resulting in an inexpensive portable imaging diagnostic device with low power consumption. In recent years, machine learning techniques have created transformative opportunities for medical image reconstruction and analysis, helping move toward data-driven algorithm designs wherein computational power is augmented with physics priors to push the accuracy and fairness of image driven diagnosis to new limits. In this thesis, we present multiple deep learning-based medical image reconstruction and analysis approaches for screening breast cancer lesions acquired by DOT. First, an end-to-end image reconstruction model from sensor-domain data is proposed, where physics-based simulation is leveraged to address the lack of available real-world data required for training. Next, we adopt a transfer learning strategy to align and translate the sensor domain distribution between in silico and real-world data and propose a novel loss to promote appearance similarity and penalize artifacts. Following up on this we propose a joint reconstruction and localization solution that simultaneously attends to the most important features while ensuring better lesion localization. Finally, we propose an orthogonal multi-frequency fusion solution for direct prediction of the end task from sensor signal data, increasing diagnosis accuracy at a reduced computational cost. Extending a portable device with such diagnosis ability promises to improve first-line treatment throughput. These contributions demonstrate the promising role of deep learning in DOT image reconstruction and diagnosis. Combined, our contributions open the path towards personalized medicine for non-invasive portable diagnosis and treatment monitoring of breast cancer in the very near future.

Download or read book Ultrasound Guided Diffuse Optical Tomography for Breast Cancer Diagnosis written by K. M. Shihab Uddin and published by . This book was released on 2020 with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt: According to National Breast Cancer Society, one in every eight women in United States is diagnosed with breast cancer in her lifetime. American Cancer Society recommends a semi-annual breast-cancer screening for every woman which can be heavily facilitated by the availability of low-cost, non-invasive diagnostic method with good sensitivity and penetration depth. Ultrasound (US) guided Diffuse Optical Tomography (US-guided DOT) has been explored as a breast-cancer diagnostic and screening tool over the past two decades. It has demonstrated a great potential for breast-cancer diagnosis, treatment monitoring and chemotherapy-response prediction. In this imaging method, optical measurements of four different wavelengths are used to reconstruct unknown optical absorption maps which are then used to calculate the hemoglobin concentration of the US-visible lesion. This dissertation focuses on algorithm development for robust data processing, imaging reconstruction and optimal breast cancer diagnostic strategy development in DOT. The inverse problem in DOT is ill-posed, ill-conditioned, and underdetermined. This makes the task of image reconstruction challenging, and thus regularization-based method need to be employed. In this dissertation, a simple two-step reconstruction method that can produce accurate image estimates in DOT is proposed and investigated. In the first step, a truncated Moore-Penrose Pseudoinverse solution is computed to obtain a preliminary estimate of the image. This estimate can be reliably determined from the measured data; subsequently, this preliminary estimate is incorporated into the design of a penalized least squares estimator that is employed to compute the final image estimate. Using physical phantoms, the proposed method was demonstrated to yield more accurate reconstruction compared to other conventional reconstruction methods. The method was also evaluated with clinical data that included 10 benign and 10 malignant cases. The capability of reconstructing high contrast malignant lesions improved by the use of the proposed method.Reconstructed absorption maps are prone to image artifacts from outliers in measurement data from tissue heterogeneity, bad coupling between tissue and light guides, and motion by patient or operator. In this dissertation, a new automated iterative perturbation correction algorithm is proposed to reduce image artifacts based on the structural similarity index (SSIM)) of absorption maps of four optical wavelengths. The SSIM was calculated for each wavelength to assess its similarity with other wavelengths. Absorption map was iteratively reconstructed and projected back into measurement space to quantify projection error. Outlier measurements with highest projection errors were iteratively removed until all wavelength images were structurally similar with SSIM values greater than a threshold. Clinical data demonstrated statistically significant improvement in image artifact reduction.US guidance with DOT helps to reduce false positive rate and hence reduce number of unnecessary biopsies. However, DOT data processing and image reconstruction speed remains slow compared to real-time US. Real-time or near real time diagnosis with DOT is an important step toward the clinical translation of the US-guided DOT. In this dissertation, to address this important need, we present a two-stage diagnostic strategy that is computationally efficient and accurate. In the first stage, benign lesions are identified in near real-time by use of a random forest classifier acting on the DOT measurements and radiologists' US diagnostic scores. The lesions that cannot be reliably classified by the random forest classifier will be passed on to the image reconstruction stage. Functional information from the reconstructed hemoglobin concentrations is used by a Support Vector Machine (SVM) classifier for diagnosis in the second stage. This two-step classification approach that combines both perturbation data and functional features results in improved classification, as quantified using the receiver operating characteristic (ROC) curve. Using this two-step approach, area under the ROC curve (AUC) is 0.937 ± 0.009 with sensitivity of 91.4% and specificity of 85.7%. While using functional features and US score, AUC is 0.892 ± 0.027 with sensitivity of 90.2% and specificity of 74.5%. The specificity increased by more than 10% due to the implementation of the random forest classifier.

Download or read book Dynamic Digital Optical Tomography for Cancer Imaging and Therapy Monitoring written by Molly Flexman and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Diffuse optical tomography is a non-invasive imaging technique that uses near-infrared light to create three-dimensional images of tissue. This dissertation presents the design and validation of an instrument for rapid optical imaging using digital detection techniques. In addition to a detailed description of the instrument, three studies are presented: a clinical study detecting breast cancer using dynamic optical imaging; a pre-clinical study monitoring early tumor response to anti-angiogenic therapy; and a clinical study monitoring individual patient response to neoadjuvant chemotherapy. These studies show that diffuse optical tomography is a valuable imaging modality that can play an important role in cancer detection and treatment.

Download or read book Characterization of Breast Cancer Using an Endogenous Tumor Spectral Marker written by Shanshan Xu and published by . This book was released on 2012 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optical imaging has enjoyed a large following in cancer in general and breast cancer in particular (i.e., diffuse optical imaging, DOI and diffuse optical tomography, DOT). Optical imaging biomarkers emerge from modeling specific near-infrared (NIR) absorption signatures that are sensitive indicators of important molecular concentration and disposition. We have developed Diffuse Optical Spectroscopic Imaging (DOSI) by increasing spectral information content for the purpose of increasing access to molecular targets and states. Malignancy-specific optical imaging biomarkers may be important because the above-mentioned changes in tumor hemoglobin, water and lipids are a necessary but not a sufficient condition to classify therapeutic response. We note that for all therapeutic imaging assessments (i.e., mammography, ultrasound, MRI, PET) that the same case is true for their respective contrast mechanisms. By a novel spectral analysis method, we have discovered the presence of absorption signatures that are unique to malignant lesions. A reproducible absorption spectrum (Specific Tumor Component, STC) with several distinct spectral features emerges when compared with the normal absorption spectra (the flat line near zero) measured from the normal tissue of these subjects plus an additional 21 patients without any evidence of malignancy. These data demonstrate the existence of a spectral signature that acts as an optical biomarker for malignancy. We are not aware of any other such biomarker that combines high specificity with ease of application in the imaging field. This DOSI-measured malignancy-specific biomarker STC provides an ideal non-invasive surrogate biomarker for breast lesion detection and differentiation. Although STC offers both spectroscopic and quantitative information for breast malignancy, this method relies on complicated data analysis and lacks of standardization. Thus, it is still far from a clinical reality. In order to carry out a quantitative assessment of its potential in becoming a standardized clinical detection modality for tumor detection/prediction/prognosis, the longitudinal temporal stability of signatures must be evaluated and the detection limit must be set. The overall clinical goal is to evaluate the possibilities for STC detection method to become a future clinical practice. Building the linkage between pre-existing detection modalities (pathological biomarkers, DCE-MRI) and novel spectral signature detection is essential. The medical interpretation of the findings from conventional tools will shed light on the understanding and further employment of STC biomarker. Similarly, STC detection with a high diagnosis sensitivity and specificity could be very well an adjunct method for traditional modalities.

Download or read book Compact and Robust Ultrasound guided Diffuse Optical Tomography for Breast Imaging System and Algorithm Developments written by Hamed Vavadi and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: According to the World Health Organization, breast cancer is the most common cancer among women worldwide, claiming lives of hundreds of thousands of women each year. Mammography, ultrasound (US) and magnetic resonance imaging (MRI) are widely used to detect and diagnose breast lesions and each of them have some disadvantages which motivates researchers to find a new and high sensitive imaging method. Diffuse optical tomography (DOT) is a noninvasive functional imaging modality that utilizes near-infrared (NIR) light to probe tissue optical properties. Minimal light absorption in the NIR spectrum allows for several centimeters of light penetration in soft tissue. NIR is sensitive to hemoglobin which is directly related to tumor angiogenesis. If multiple wavelengths are used, it can probe tumor oxygen saturation. However, DOT has drawbacks on location uncertainty and low light quantification accuracy due to tissue scattering of NIR light. Ultrasound (US)-guided Diffuse Optical Tomography has overcome these problems. The overall objective of my research is to move US-guided DOT one step closer from a research imaging modality to a commercial prototype for future wide use in clinics. To achieve this goal, I have overcome several challenges in both imaging hardware and software. In this Dissertation, I will discuss the progress we have made on development of two generations of US-guided DOT systems along with the software improvements. The developed systems have been improved in terms of robustness, stability, clinical safety and standards and user friendliness. In terms of software and algorithm development, automated methods for data selection, outlier removal and reference and perturbation filtering are presented. These methods have improved the robustness of the technique and increased speed of image formation by eliminating the need for an expert to perform data preprocessing and data selection. Phantom and clinical experimental results will be demonstrated to evaluate the performance of the developed systems and algorithms.

Download or read book Optical Imaging of Breast Cancers written by Yan Xu and published by . This book was released on 2013 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Concurrent MR NIR Imaging for Breast Cancer Diagnosis written by Birsen Yazici and published by . This book was released on 2007 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: The primary objective of this research program is to investigate concurrent near infrared (NIR) optical and magnetic resonance (MR) imaging for breast cancer diagnosis. The NIR diffuse optical imaging offers novel criteria for cancer differentiation with the ability to measure (in vivo) oxygenation and vascularization state, the uptake and release of contrast agents and chromophore concentrations with high sensitivity. However, NIR diffuse optical tomography is inherently a low spatial resolution imaging modality due to diffuse nature of light photons. Alternatively, MRI provides high spatial resolution with excellent tissue discrimination, but has limited ability to monitor hemoglobin dynamics and other contrast mechanisms that optical imaging provides. Therefore, concurrent MRI-NIR optical imaging brings together the most advantageous aspects of the two imaging modalities for breast cancer diagnosis.

Download or read book A Multimodal Breast Cancer Imaging System Using Coregistered Dynamic Diffuse Optical Tomography and Digital Breast Tomosynthesis written by Bernhard B. Zimmermann and published by . This book was released on 2017 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: Diffuse optical tomography (DOT) is an emerging noninvasive functional imaging method for breast cancer diagnosis and neoadjuvant chemotherapy monitoring. In particular, the multimodal approach of combining DOT with x-ray digital breast tomosynthesis (DBT) is especially synergistic as DBT prior information can be used to enhance the DOT reconstruction. DOT, in turn, provides a functional information overlay onto the mammographic images, increasing sensitivity and specificity to cancer pathology. We describe a dynamic DOT apparatus designed for tight integration with commercial DBT scanners and providing a fast (1 Hz+) image acquisition rate to enable tracking of hemodynamic changes induced by the mammographic breast compression. The most significant advance enabling fast acquisition was the design and construction of a direct analog-to-digital conversion frequency-domain near-infrared spectroscopy (FD-NIRS) component. It achieves simultaneous dual wavelength operation at 685 nm and 830 nm by concurrent 67.5 MHz and 75 MHz frequency modulation of each laser source, respectively, followed by digitization using a high-speed analog to digital converter and real-time hybrid FPGA-assisted demodulation by discrete Fourier transform (DFT). The overall DOT system integrates 96 CW-NIRS and 24 FD-NIRS source locations, as well as 32 CW-NIRS and 20 FD-NIRS detection locations into low-profile plates that mate to the DBT compression paddle and x-ray detector cover, respectively. The plates and the embedded optical fibers are made of plastic to minimize x-ray absorption and thus allow true simultaneous acquisition of the DBT image. We first characterize each major system component individually, and then demonstrate overall performance using static and dynamic tissue-like phantoms, as well as in vivo images acquired from the pool of patients recalled for breast biopsies at the Massachusetts General Hospital Breast Imaging Division.

Download or read book Spatially dense Multi spectral Frequency domain Diffuse Optical Tomography of Breast Cancer written by Han Yong Ban and published by . This book was released on 2015 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Diffuse optical tomography (DOT) employs near-infrared light to image the concentration of chromophores and cell organelles in tissue and thereby providing access to functional parameters that can differentiate cancerous from normal tissues. This thesis describes research at the bench and in the clinic that explores and identifies the potential of DOT breast cancer imaging. The bench and clinic instrumentation differ but share important features: they utilize a very large, spatially dense, set of source-detector pairs (10 7) for imaging in the parallel-plate geometry.

Download or read book Optical Tomography and Spectroscopy of Tissue VII written by Britton Chance and published by SPIE-International Society for Optical Engineering. This book was released on 2007 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: Theory/Algorithm/Modeling; Instrumentation and Technology I; Fluorescence Imaging/Spectroscopy (algorithm/model/tomography); Fluorescence Imaging/Image Reconstruction (Experimental); Instrumentation and Technology II; Fluorescence Imaging Technology I; Fluorescence Imaging Technology II; Fluorescence Imaging Technology III; Network for Translational Research in Optical Imaging: Breast Cancer Diffuse Optical Imaging; Breast II - Instrumentation & New Analysis Method; Breast III - Clinical Study; Pre-Clinical/Animal; Instrumentation and Technology III; Clinical/Human Subject Studies.