Download or read book Breast Lesion Detection Using Diffuse Optical Imaging written by Anaïs Leproux and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
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 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 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 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 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 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 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 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 Translational Multimodality Optical Imaging written by Fred S. Azar and published by Artech House. This book was released on 2008 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: Supported with 119 illustrations, this milestone work discusses key optical imaging techniques in self-contained chapters; describes the integration of optical imaging techniques with other modalities like MRI, X-ray imaging, and PET imaging; provides a software platform for multimodal integration; presents cutting-edge computational and data processing techniques that ensure rapid, cost-effective, and precise quantification and characterization of the clinical data; covers advances in photodynamic therapy and molecular imaging, and reviews key clinical studies in optical imaging along with regulatory and business issues.
Download or read book Three Dimensional Near infrared Optical Imaging Using Ultrasound Guidance for Breast Cancer Detection and Diagnosis written by Minming Huang and published by . This book was released on 2004 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation focuses on the study of three-dimensional near-infrared (NIR) imaging reconstruction using ultrasound localization for breast cancer detection and diagnosis. With the 3D NIR forward model for reflection geometry built and investigated, successful reconstruction of both absorption and scattering coefficients has been obtained and evaluated using both a phantom study and initial clinic data. In this work, we first introduce a dual mesh optical reconstruction method with depth correction using a priori ultrasound information. It can significantly improve the reconstructed absorption distributions in deeper target layers. Clinical results have shown improved correlation between reconstructed total hemoglobin concentrations and the histological micorvessel density counts. Next, a combined Tikhonov regularization and dual mesh scheme based on finite element method (FEM) is proposed to solve the inter-parameter cross talk between the scattering coefficient and absorption coefficient. In this approach, the optimal regularization factor is given by the standard L-curve. Different regularization factors have been assigned to the target region and non-target region to incorporate the priori target information from the co-registered ultrasound images. Both phantom experiments and clinic examples have shown that this new approach has the ability to reconstruct the absorption and diffusion coefficients simultaneously, and the reconstructed target absorption and diffusion maps have no depth dependence effect. Finally, a simple two-layer model is generated and studied to solve a clinical issue related to the chest wall, which is a mixture of bones and muscles. For small breasts, the chest wall appears within 2–3 cm distance from the skin surface. As a result, the simple one layer model is not accurate. Furthermore, for some cases, there is also an obvious chest wall mismatch between the reference site and lesion site. To solve this clinical issue, a simplified two-layer model is generated and a fitting method is adopted to estimate the optical properties of both layers. Then a correction method is applied to correct for the chest wall mismatch between the lesion site and reference site. With this scheme, phantom targets located on top of the chest wall phantom layer can be reconstructed with good contrast and resolution.
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 Three Dimensonal Near infrared Optical Imaging Using Ultrasound Guidance for Breast Cancer Detection and Diagnosis written by Minming Huang and published by . This book was released on 2005 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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 Breast Imaging written by E. D. Pisano and published by IOS Press. This book was released on 2001 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: The title of this work, Breast Imaging, reflects the intellectual expansion of the field that previously was limited to standard mammography. NMR, Sestimibi scanning, EPR, and optical imaging are all adding to the richness of approaches directed at the early detection of breast cancer. These approaches put us in the enviable position of asking which technologies are the most specific (not just the most sensitive), and which are the most cost effective (and not simply most useful). This book, edited by Dr Etta Pisano, discusses the key questions and discoveries in breast imaging through a series of essays.
Download or read book Fiber Optic Sensor Prototype for Breast Cancer Imaging written by Adam Bangert and published by . This book was released on 2006 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: Breast cancer is the most common type of cancer and the second most common cause of death by cancer for women. Early diagnosis of a malignant tumor in the breast can dramatically increase survivability. Therefore, the clarity and accuracy of a detection scheme is crucial to improve the survival rate of breast cancer. Near-Infrared Diffuse Optical Imaging and Spectroscopy (NIR-DOIS) is an imaging methodology under development which has the potential to clearly and accurately assess the malignancy of a suspicious lesion. Tumor malignancy corresponds to certain physiological parameters, namely oxygen saturation and hemoglobin concentration. NIR-DOIS is capable of measuring these parameters, providing a functional measurement of multiple physiological parameters with potential molecular sensitivity. When compared with other imaging modalities, NIR-DOIS has the advantage of being a low cost, non-invasive, real-time diagnostic. This imaging technique can be accomplished using fiber optic cables which are arrayed in a hand-held sensor head that is placed against the skin of the patient. The near-infrared light shines from the source fiber into the tissue and the reflected light is collected by the detector fibers. Source and detector fibers are connected to a tissue oximetry device that synchronizes the light illumination and the data collection, allowing it to interpret physiological parameters such as oxygen saturation and hemoglobin concentration from optical measurements. In order to reconstruct the embedded tissue heterogeneities such as breast tumors, it is necessary to collect multiple data sets with a matrix of sources and detectors. However, the fact that the existing tissue oximetry system has limited sources and detectors prevents the reconstruction of the tissue heterogeneities with high accuracy. In order to improve the imaging capability of the existing tissue oximetry system, it is necessary to develop an imaging head with a condensed distribution of source and detector channels, and an optical switching unit that can rapidly sweep through all these source and detector channels. The hypothesis of this project is that the optical switch will be an effective means to accurately detect oximetry data using NIR-DOIS. The research project includes completing a prototype optical switch, programming the necessary motor control functions to integrate the switch with a computer, and testing the device to determine baseline performance and potential clinical efficacy. Performance testing will be done using a laser and a light detector in order to determine light transmission through the optical switch, first through the fibers alone and then through the switch.
Download or read book Developing Technologies for Early Detection of Breast Cancer written by National Research Council and published by National Academies Press. This book was released on 2000-08-06 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt: In November 1999, the Institute of Medicine, in consultation with the Commission on Life Sciences, the Commission on Physical Sciences, Mathematics, and Applications, and the Board on Science, Technology and Economic Policy launched a one year study on technologies for early detection of breast cancer. The committee was asked to examine technologies under development for early breast cancer detection, and to scrutinize the process of medical technology development, adoption, and dissemination. The committee is gathering information on these topics for its report in a number of ways, including two public workshops that bring in outside expertise. The first workshop on "Developing Technologies for Early Breast Cancer Detection" was held in Washington DC in February 2000. The content of the presentations at the workshop is summarized here. A second workshop, which will focus on the process of technology development and adoption, will be held in Washington, DC on June 19-20. A formal report on these topics, including conclusions and recommendations, will be prepared by the committee upon completion of the one-year study.
