[PDF] Multimodal Optical Diagnostics Of Cancer eBook

Author : Valery V. Tuchin
Publisher : Springer Nature
Page : 605 pages
File Size : 18,29 MB
Release : 2020-10-23
Category : Medical
ISBN : 3030445941

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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.

Author : Noureddine Melikechi
Publisher : World Scientific
Page : 559 pages
File Size : 45,70 MB
Release : 2023-01-06
Category : Technology & Engineering
ISBN : 981125897X

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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.

Author : Arlen D. Meyers
Publisher : World Scientific
Page : 206 pages
File Size : 22,91 MB
Release : 2012
Category : Medical
ISBN : 9814295418

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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

Author : Arunthathi Manickavasagam
Publisher :
Page : 0 pages
File Size : 24,26 MB
Release : 2017
Category :
ISBN :

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A statistical method was developed and used to perform binary and multiclass classification of the normal, benign and malignant tissue types. Receiver operating characteristic (ROC) analysis was employed to determine the optimal model for classification yielding maximum sensitivity and specificity. The optical channel-based classification gave better results compared to technique-based classification. The neoplastic and non-neoplastic tissues were discriminated with 100% sensitivity and 100% specificity. In multiclass classification, the benign was detected with 100% sensitivity and 95.2% specificity and the malignant was classified with 100% sensitivity and 71.4% specificity. In summary, an optical diagnostic model for unbiased classification of normal, benign and malignant lesions was developed. The diagnostic optical biomarkers identified, helped to perform label-free imaging. This multi-modal imaging approach showed the potential to serve as a reliable screening tool for pathologists to objectively identify the diseased cases.

Author : Andrey Dunaev
Publisher : CRC Press
Page : 279 pages
File Size : 17,92 MB
Release : 2022-10-31
Category : Technology & Engineering
ISBN : 1000735613

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In 2021, over 537 million people worldwide were diagnosed with diabetes, according to the International Diabetes Federation and so the diagnosis, care and treatment of patients with diabetes mellitus have become one of the highest healthcare priorities. Biomedical photonics methods have been found to significantly improve and assist in the diagnosis of various disorders and complications arising from diabetes. These methods have also been widely used in various studies in the field of diabetes, including in the assessment of biochemical characteristics, metabolic processes, and microcirculation that are impaired in this disease. This book provides an introduction to methods of biomedical photonics. The chapters, written by world-leading experts, cover a wide range of issues, including the theoretical basis of different biophotonics methods and practical issues concerning the conduction of experimental studies to diagnose disorders associated with diabetes. It provides a comprehensive summary of the recent advances in biomedical optics and photonics in the study of diabetes and related complications. This book will be of interest to biomedical physicists and researchers, in addition to practicing doctors and endocrinologists looking to explore new instrumental methods for monitoring the effectiveness of patient treatment. Features • The first collective book combining accumulated knowledge and experience in the field of diabetes research using biophotonics. • Contributions from leading experts in the field. • Combines the theoretical base of the described methods and approaches, as well as providing valuable practical guidance and the latest research from experimental studies.

Author : Liang Lim
Publisher :
Page : 192 pages
File Size : 20,52 MB
Release : 2013
Category :
ISBN :

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The goal of this thesis is to study the potential of optical spectroscopy as a clinical diagnostic tool for melanoma and nonmelanoma skin cancer. Skin cancer is the most common cancer in the United States. Like most cancers, early diagnosis and treatment improves patient prognosis for both melanoma and nonmelanoma skin cancer. However, current "gold standard" for diagnosis is invasive, costly and time-consuming. A diagnostic procedure consists of a clinical examination of the suspicious lesion, followed by biopsy and histopathology, with an additional turnaround time of approximately one week. There is a need for an accurate, objective, noninvasive, and faster method to aid physician in diagnosing cancerous lesions, increasing diagnosis accuracy while preventing unnecessary biopsies. We propose Spectral Diagnosis, a system capable of noninvasive in vivo spectroscopic examination of human skin. The research objectives are: (1) Probe pressure effects on in vivo spectroscopy measurements of human skin, (2) Clinical trial of Spectral Diagnosis, (3) Design, construction, and characterization of a confocal Raman microspectroscope. Spectral Diagnosis utilizes an optical fiber probe that transmits and collects optical spectra in contact with the suspected lesion. We identified short term and light probe pressure effects to be minimal on diagnostic parameters, and should not negatively influence diagnostic performance. We conducted a clinical trial at the University of Texas MD Anderson Cancer Center, and our results show that principal components from three spectroscopy modalities (diffuse reflectance spectroscopy, laser induced fluorescence spectroscopy, and Raman spectroscopy) provide excellent melanoma and nonmelanoma skin cancer diagnosis. We also constructed and characterized a Raman microspectroscope, with the goal of developing a physiological-based fitting model to better understand the analysis of in vivo Raman spectroscopy data from human skin tissue.

Author : Yang Liu
Publisher :
Page : 240 pages
File Size : 44,15 MB
Release : 2013
Category : Electronic dissertations
ISBN :

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Current surgical oncology faces great challenges due to the lack of accurate intraoperative image-guidance and rapid histopathological assessment. This leads to incomplete tumor resections and cancer recurrences. We have developed the fluorescence goggle system to overcome these limitations. The fluorescence goggle is a real-time intraoperative imaging and display system that, when combined with fluorescent molecular probes, can identify the extension of tumors and guide surgical resections. It is compact, wireless, wearable, battery-operated, and allows for hands-free imaging by surgeons. Unlike conventional imaging instruments, the fluorescence goggle directly displays fluorescence information on its eyepieces. We have developed several generations of fluorescence goggle based on CCD and CMOS imaging technologies, as well as see-through display technologies. We have applied the fluorescence goggle to aid cancer staging and surgical resection of breast, liver and brain cancer, in both small animals and humans. To facilitate pathological diagnosis, we have developed a complementary fluorescence-polarization dual-modal microscope and a division of focal plane polarized light microscope. These novel microscopes greatly assist rapid histopathological assessment of cancer. The combination of real-time image-guided surgeries using the fluorescence goggle and ex vivo histopathology using the multimodal microscopes improves surgical planning and patient outcomes.

Author : Fred S. Azar
Publisher : Artech House Publishers
Page : 386 pages
File Size : 45,54 MB
Release : 2008
Category : Medical
ISBN : 9781596933071

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Fast-emerging optical imaging and data fusion techniques are creating a huge buzz as potentially powerful tools for cancer detection and other important clinical applications. Heres the first comprehensive resource on multimodal optical imaging. This unique book gives biomedical researchers the full details on in-vivo microscopy, optical coherence tomography, endoscopy, and diffuse optical techniques. It explains how these tools can be integrated with other modalities to capture and apply biological information in significant new ways. Written by pioneers in the field, this milestone work discusses each of the optical imaging techniques in depth and describes the integration of the techniques with other modalities like MRI, X-Ray imaging, and PET imaging. The volume also covers photodynamic therapy and molecular imaging, and reviews clinical studies in optical imaging and other issues. DVD Included! Contains full-color images and videos that support key topics covered in the book.