Quantitative Imaging in the Thorax
Description
The main purpose of this book is to provide details of quantitative imaging from extraction of data from CT and MR images and incorporation into models for clinical translation and application. Individual chapters feature experts from around the world and covers all aspects of quantitative imaging in the thorax, from screening to diagnosis and management. This book also features chapters dedicated to radiomics and radiogenomics.
This is an ideal guide for radiologists, physicians, and data scientists working towards a common ground in quantitative imaging.
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Ritu R. Gill, MD, MPH , is Chief of Cardiothoracic Radiology and Professor of Radiology at Columbia University Medical Center, NY. She is a subspecialty-trained radiologist with expertise in Cardiothoracic Imaging and Oncoradiology and holds a Master's Degree in Public Health with a concentration in Clinical Effectiveness.
Dr. Gill's scholarly work centers on the integration of quantitative imaging metrics with clinical and pathological parameters to develop prognostic models for thoracic malignancies. Her research seeks to advance the role of imaging as a biomarker in precision oncology, with the goal of improving disease characterization, treatment selection, and survival outcomes in patients with lung and other chest cancers.
In addition to her research and clinical practice, Dr. Gill is actively engaged in academic leadership, education, and editorial work. She has contributed to numerous peer-reviewed publications, book chapters, and educational initiatives in radiology and oncology. As a book editor, Dr. Gill brings a multidisciplinary perspective that bridges imaging science, clinical medicine, and public health, fostering collaborations that drive innovation and evidence-based care in thoracic imaging and oncologic radiology.
Prabhakar Rajiah, MBBS, MD, FRCR, FACR, FACC, FAHA, FSCCT, FSCMR, FNASCI, FSABI, is a Professor of Radiology and Consultant Cardiovascular & Thoracic Radiologist at the Mayo Clinic in Rochester, Minnesota. His clinical and academic work centers on structural heart disease, multienergy and photon-counting CT, quantitative imaging, and advanced cardiovascular CT and MRI techniques.
Dr. Rajiah is an internationally recognized authority in his field, with a scholarly record that includes more than 250 peer-reviewed publications, 75 book chapters, and editorial leadership of five textbooks and special journal issues. He serves as Deputy Editor of the Journal of Thoracic Imaging and as Associate Editor for Radiology , Radiology: Cardiothoracic Imaging , and RadioGraphics .
His contributions to cardiovascular imaging and radiologic education have been recognized with numerous distinctions, including the RSNA Research Trainee Prize, the Roentgen Radiology Fellow Research Award, multiple RSNA Honored Educator Awards, and the RSNA Lifetime Honored Educator Award.
Content
Principles of quantitative imaging.- Quantitative techniques in cardiac MRI.- Quantitative CT imaging in coronary artery disease.- CT fractional flow reserve in coronary artery disease.- CT myocardial perfusion imaging.- Quantitative stress perfusion cardiac magnetic resonance.- Quantitative assessment in nuclear cardiology.- Myocardial characterization with CT.- Myocardial characterization with MRI.- Quantitative MRI of valvular heart disease.- Quantitative CT and MRI in transcatheter interventions for structural heart disease.- Quantitative imaging in cardiac electrophysiology.- Quantitative imaging in cardio oncology.- Quantitative imaging of epicardial and pericardial fat.- Quantitative imaging of aorta.- Quantitative imaging of pulmonary hypertension.- Quantitative imaging of pulmonary embolism.- Quantitative imaging in airway diseases.- Quantitative imaging of interstitial lung disease.- Quantitative assessment of lung nodule.- Quantitative assessment of Lung Masses and Lung cancer.- Quantitative imaging in response assessment of lung neoplasms.- Quantitative imaging in pleura.- Quantitative imaging of mediastinal masses.- Quantitative thoracic imaging with nuclear medicine.- Quantitative imaging of sarcopenia.- Applications of artificial intelligence in quantitative imaging.
