Multi Parameter Mueller Matrix Microscopy For The Expert Assessment Of Acute Myocardium Ischemia
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Multi-parameter Mueller Matrix Microscopy for the Expert Assessment of Acute Myocardium Ischemia
This book provides an essential overview of the basic principles of imaging modalities, accompanied by examples of their applications in modern clinical and associated pre-clinical studies. The monograph is based on the original results of investigation of the efficiency use of laser light and Mueller-matrix polarimetry approach for assessment of myocardial tissues towards confirmation the cause of death. A morphological analysis of necrotic changes in the myocardial tissue of patients that died due to heart attack, coronary heart disease and acute coronary insufficiency was carried out and the data and histological sections of the myocardium inspected utilizing Mueller-matrix mapping of tissue samples with polarized light. A unified optical model of polycrystalline structure of the myocardium is proposed, and the principles and regulations of Mueller-matrix description of its polarization manifestations are explored and developed. The book also provides a statistical and scale-selective wavelet analysis of polarization and Mueller-matrix maps. Finally, the key forensic medical criteria for the differential diagnosis of the cause of death due to necrotic and pathological changes in the morphological structure of the myocardium have been established
Multi-parameter Mueller Matrix Microscopy for the Expert Assessment of Acute Myocardium Ischemia
This book provides an essential overview of the basic principles of imaging modalities, accompanied by examples of their applications in modern clinical and associated pre-clinical studies. The monograph is based on the original results of investigation of the efficiency use of laser light and Mueller-matrix polarimetry approach for assessment of myocardial tissues towards confirmation the cause of death. A morphological analysis of necrotic changes in the myocardial tissue of patients that died due to heart attack, coronary heart disease and acute coronary insufficiency was carried out and the data and histological sections of the myocardium inspected utilizing Mueller-matrix mapping of tissue samples with polarized light. A unified optical model of polycrystalline structure of the myocardium is proposed, and the principles and regulations of Mueller-matrix description of its polarization manifestations are explored and developed. The book also provides a statistical and scale-selective wavelet analysis of polarization and Mueller-matrix maps. Finally, the key forensic medical criteria for the differential diagnosis of the cause of death due to necrotic and pathological changes in the morphological structure of the myocardium have been established.
Artificial Intelligence in Medical Imaging
This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implicationsfor radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.