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Ultrasound Guided Optical Techniques For Cancer Diagnosis
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Book Synopsis Ultrasound-guided Optical Techniques for Cancer Diagnosis by : Atahar Kamal Mostafa
Download or read book Ultrasound-guided Optical Techniques for Cancer Diagnosis written by Atahar Kamal Mostafa and published by . This book was released on 2019 with total page 91 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 In terms of software and algorithm development, manual extraction of tumor information from ultrasound images has been replaced by using a semi-automated ultrasound image segmentation algorithm that reduces the optical image reconstruction time and operator dependency.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.
Book Synopsis Ultrasound Guided Diffuse Optical Tomography for Breast Cancer Diagnosis by : K. M. Shihab Uddin
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.
Book Synopsis Methods for Improving the Reconstruction of Diffuse Optical Tomography for Breast Cancer Detection by : Murad Mohsen Althobaiti
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:
Book Synopsis Multimodal Optical Diagnostics of Cancer by : Valery V. Tuchin
Download or read book Multimodal Optical Diagnostics of Cancer written by Valery V. Tuchin and published by Springer Nature. This book was released on 2020-10-23 with total page 605 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an in-depth description and discussion of different multi-modal diagnostic techniques for cancer detection and treatment using exact optical methods, their comparison, and combination. Coverage includes detailed descriptions of modern state of design for novel methods of optical non-invasive cancer diagnostics; multi-modal methods for earlier cancer diagnostic enhancing the probability of effective cancer treatment; modern clinical trials with novel methods of clinical cancer diagnostics; medical and technical aspects of clinical cancer diagnostics, and long-term monitoring. Biomedical engineers, cancer researchers, and scientists will find the book to be an invaluable resource. Introduces optical imaging strategies; Focuses on multimodal optical diagnostics as a fundamental approach; Discusses novel methods of optical non-invasive cancer diagnostics.
Book Synopsis Optical Detection of Cancer by : Arlen D. Meyers
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
Book Synopsis Optical Spectroscopy And Imaging For Cancer Diagnostics: Fundamentals, Progress, And Challenges by : Noureddine Melikechi
Download or read book Optical Spectroscopy And Imaging For Cancer Diagnostics: Fundamentals, Progress, And Challenges written by Noureddine Melikechi and published by World Scientific. This book was released on 2023-01-06 with total page 559 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an interdisciplinary book that presents the applications of novel laser spectroscopy and imaging techniques for the detection of cancers recently developed by some of the world's most renown researchers. The book consists of three parts and a total of 16 chapters. Each chapter is written by leading experts who are actively seeking to develop novel spectroscopic and analytical methods for cancer detection and diagnosis.In Part I, the authors present fundamentals on optics, atoms and molecules, biophysics, cancer and machine learning. These chapters are intended for those who are not experts in the field but wish to learn about fundamentals' aspects of some of the key topics that are addressed in this book. Particular attention has been given to providing key references for those who wish to go further into the fundamental aspects of atoms and molecules, light-matter interaction, optical instrumentation, machine learning and cancer.In Part II, the authors present key applications of various laser spectroscopic methods in cancer diagnosis. They have provided recent progress in cancer diagnostics obtained by combining laser spectroscopy and machine learning for the analysis of the spectra acquired from biomedical tissues and biofluids.In Part III, the authors present chapters that discuss key developments in the applications of various laser imaging techniques for cancer detection.This is one of the few books that addresses cancer detection and diagnosis using laser spectroscopic and imaging tools with an eye on providing the reader the scientific tools, including machine learning ones.
Book Synopsis Three Dimensional Near-infrared Optical Imaging Using Ultrasound Guidance for Breast Cancer Detection and Diagnosis by : Minming Huang
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.
Book Synopsis Image-Guided Diagnosis and Treatment of Cancer by : Anthony V. D’Amico
Download or read book Image-Guided Diagnosis and Treatment of Cancer written by Anthony V. D’Amico and published by Springer Science & Business Media. This book was released on 2003-07-30 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Prominent physicians review past, current, and future applications of the many powerful imaging techniques now used in the diagnosis, staging, treatment, and outcomes assessment of cancers of the prostate, central nervous system (CNS), and breast. Topics range from the use of screening mammography and approaches to breast cancer detection using MRI to improved visualization of the prostate gland from transrectal ultrasound and MRI, to MRI-guided resection of neoplasms.
Book Synopsis The Use of Optical Techniques to Guide Cancer Diagnosis and Radical Surgical Resections by :
Download or read book The Use of Optical Techniques to Guide Cancer Diagnosis and Radical Surgical Resections written by and published by . This book was released on 2021 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Optical Imaging of Cancer by : Eben Rosenthal
Download or read book Optical Imaging of Cancer written by Eben Rosenthal and published by Springer Science & Business Media. This book was released on 2009-10-03 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: To describe principles of optical imaging including chemistry and physics of fluorescence, limitations/advantages of optical imaging compared to metabolic and anatomic imaging. Describe hardware adapted for small animal imaging and for clinical applications: endoscopes and operative microscopes. Outline FDA approved and newer optical imaging probes. Include discussion of chemistry and linkage to other proteins. Review current techniques to image cancer and the development of techniques to specifically image cancer cells. Review use of exploiting differences in tissue autofluorescence to diagnose and treat cancer. Include agents such as 5-aminoleculinic acid. Review mechanisms that require proteolytic processing within the tumor to become active fluorophores. Review use of cancer selective proteins to localize probes to cancer cells: include toxins, antibodies, and minibodies. Introduction of plasmids, viruses or other genetic material may be used to express fluorescent agents in vivo. This chapter will review multiple vectors and delivery mechanisms of optical imaging cassettes.Preclinical investigations into the use of optical contrast agents for the detection of primary tumors in conventional and orthotopic models will be discussed. Preclinical investigations into the use of optical contrast agents for the detection of metastatic tumors in mouse models will be discussed. Use of targeted and non-specific optical contrast agents have been used for the detection of sentinel lymph node detection. These applications and how they differ from other applications will be discussed. Because of the unique difficulty of identifying tumor from normal tissue in brain tissue, a separate chapter would be needed. More clinical data is available for this cancer type than any other. Discussion of potential clinical applications for optical imaging and an assessment of the potential market.
Book Synopsis Advancements and Breakthroughs in Ultrasound Imaging by : G P P Gunarathne
Download or read book Advancements and Breakthroughs in Ultrasound Imaging written by G P P Gunarathne and published by BoD – Books on Demand. This book was released on 2013-06-05 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ultrasonic imaging is a powerful diagnostic tool available to medical practitioners, engineers and researchers today. Due to the relative safety, and the non-invasive nature, ultrasonic imaging has become one of the most rapidly advancing technologies. These rapid advances are directly related to the parallel advancements in electronics, computing, and transducer technology together with sophisticated signal processing techniques. This book focuses on state of the art developments in ultrasonic imaging applications and underlying technologies presented by leading practitioners and researchers from many parts of the world.
Author :Society of Photo-optical Instrumentation Engineers Publisher :SPIE-International Society for Optical Engineering ISBN 13 :9780819435255 Total Pages :160 pages Book Rating :4.4/5 (352 download)
Book Synopsis Optical Methods for Tumor Treatment and Detection by : Society of Photo-optical Instrumentation Engineers
Download or read book Optical Methods for Tumor Treatment and Detection written by Society of Photo-optical Instrumentation Engineers and published by SPIE-International Society for Optical Engineering. This book was released on 2000 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: Signaling Pathways; Localization; New Sensitizers; ALA; Clinical PDT; Dosimetry; Vascular Responses; Imaging.
Book Synopsis Fundamentals in Oncologic Ultrasound by : Orlando Catalano
Download or read book Fundamentals in Oncologic Ultrasound written by Orlando Catalano and published by Springer Science & Business Media. This book was released on 2009-12-19 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is a remarkable observation that human creativity can be fostered by spectacular scenery, itself usually the result of tectonic activity which raises mountains of beauty but carries the sting of earthquakes and eruptions. Think of Silicon Valley in Ca- fornia or of the Tokyo-Kyoto corridor in Eastern Japan. Another is the glorious Amalfi coast around Naples, where the authors of this new textbook work in the shadow of Mount Vesuvius. Is it the beauty that inspires or the tension of knowing that one’s life may be shattered at any moment if a volcanic or tectonic disaster strikes? Whatever the explanation, these authors’ passion for their subject shines through and their work carries not only their enthusiasm but also a rare beauty in its construction/format, for it is a joy to hold and behold with its beautiful all-colour printing and abundant illustrations of excellent quality, mainly, of course, ultrasound images but also corresponding CT scans and numerous elegant diagrams. But, is there a need for a textbook on ultrasound in oncology? Doesn’t everyone accept that CT or PET/CT (and sometimes MR) have nailed the problem of oncologic imaging? Well, while CT is undoubtedly the core imaging technique for the det- tion, staging, treatment planning and follow-up of tumours, there remain many app- cations for modern ultrasound, as readers of this textbook will be persuaded.
Book Synopsis Mammography and Beyond by : National Research Council
Download or read book Mammography and Beyond written by National Research Council and published by National Academies Press. This book was released on 2001-06-04 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt: X-ray mammography screening is the current mainstay for early breast cancer detection. It has been proven to detect breast cancer at an earlier stage and to reduce the number of women dying from the disease. However, it has a number of limitations. These current limitations in early breast cancer detection technology are driving a surge of new technological developments, from modifications of x-ray mammography such as computer programs that can indicate suspicious areas, to newer methods of detection such as magnetic resonance imaging (MRI) or biochemical tests on breast fluids. To explore the merits and drawbacks of these new breast cancer detection techniques, the Institute of Medicine of the National Academy of Sciences convened a committee of experts. During its year of operation, the committee examined the peer-reviewed literature, consulted with other experts in the field, and held two public workshops. In addition to identifying promising new technologies for early detection, the committee explored potential barriers that might prevent the development of new detection methods and their common usage. Such barriers could include lack of funding from agencies that support research and lack of investment in the commercial sector; complicated, inconsistent, or unpredictable federal regulations; inadequate insurance reimbursement; and limited access to or unacceptability of breast cancer detection technology for women and their doctors. Based on the findings of their study, the committee prepared a report entitled Mammography and Beyond: Developing Technology for Early Detection of Breast Cancer, which was published in the spring of 2001. This is a non-technical summary of that report.
Book Synopsis Improving the Light Quantification of Near Infrared (NIR) Diffused Light Optical Tomography with Ultrasound Localization by : Yasaman Ardeshirpour
Download or read book Improving the Light Quantification of Near Infrared (NIR) Diffused Light Optical Tomography with Ultrasound Localization written by Yasaman Ardeshirpour and published by . This book was released on 2010 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Oncologic Ultrasound, An Issue of Ultrasound Clinics by : Vikram S. Dogra
Download or read book Oncologic Ultrasound, An Issue of Ultrasound Clinics written by Vikram S. Dogra and published by Elsevier Health Sciences. This book was released on 2014-01-28 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: The detection of tumors in various organ systems remains one of the central applications of ultrasound. This issue of Ultrasound Clinics will consist of 10 articles under the title Oncologic Ultrasound and will feature several articles on elastrography (a developing method for distinguishing tumors from normal tissue), as well as endoscopic ultrasound in oncology, ultrasound guidance in tumor ablation, and ultrasound guided biopsies. The editor, Vikram Dogra, who also serves as consulting editor of the series, has put together an issue that addresses the core clinical concerns of oncologic imaging for the radiologist specializing in ultrasound.
Book Synopsis Advances in Diagnostic and Therapeutic Ultrasound Imaging by : Jasjit S. Suri
Download or read book Advances in Diagnostic and Therapeutic Ultrasound Imaging written by Jasjit S. Suri and published by Artech House. This book was released on 2008 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: This groundbreaking resource offers you exclusive coverage of the latest techniques in diagnostic and therapeutic 3-D ultrasound imaging instrumentation and techniques. Providing a solid overview of potential applications in clinical practice, you find need-to-know details on major diseases, including vascular diseases, breast cancer, cardiac abnormalities and prostate cancer.