Tissue Elasticity Imaging : Volume 2: Clinical Applications
Language: English
Published by Elsevier Inc Dez 2019, 2019
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Neuware - Tissue Elasticity Imaging: Volume Two: Clinical Applications offers an extensive treatment of the fundamentals and applications of this groundbreaking diagnostic modality. Techniques and results are presented for the assessment of breast, prostate, heart, liver and thyroid tissues. For each application, details are provided on how to perform each technique, along with methods of interpretation, diagnostic criteria, quality assurance, challenges and case studies. This book is an essential resource for all researchers and practitioners (including scientists, radiologists, urologists, fellows and residents) interested in any elasticity imaging modality. As many diseases, including cancers, alter tissue mechanical properties, it is not always possible for conventional methods to detect changes, but with elasticity images that are produced by slow tissue deformation or low-frequency vibration, these changes can be displayed.
Seller Inventory # 9780128096628
- Title
- Tissue Elasticity Imaging : Volume 2: Clinical Applications
- Author
- Brian S. Garra
- Publisher
- Elsevier Inc Dez 2019
- Publication year
- 2019
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 0128096624
- ISBN 13
- 9780128096628
- Item weight
- 444 grams
- Dimensions
- 235x191x13 mm
Tissue Elasticity Imaging: Volume Two: Clinical Applications offers an extensive treatment of the fundamentals and applications of this groundbreaking diagnostic modality. Techniques and results are presented for the assessment of breast, prostate, heart, liver and thyroid tissues. For each application, details are provided on how to perform each technique, along with methods of interpretation, diagnostic criteria, quality assurance, challenges and case studies. This book is an essential resource for all researchers and practitioners (including scientists, radiologists, urologists, fellows and residents) interested in any elasticity imaging modality.
As many diseases, including cancers, alter tissue mechanical properties, it is not always possible for conventional methods to detect changes, but with elasticity images that are produced by slow tissue deformation or low-frequency vibration, these changes can be displayed.
"Synopsis" may belong to another edition of this title.
About the Author
Dr. Brian S. Garra completed his residency training at the University of Utah and spent three years as an Army radiologist in Germany before returning to Washington DC and the National Institutes of Health in the mid 1980’s. After four years at the NIH, he joined the faculty of Georgetown University as Director of Ultrasound. In 1998, he left Georgetown to become Professor & Vice Chairman of Radiology at the University of Vermont/Fletcher Allen Healthcare. In 2009, Dr Garra returned to the Washington DC area as Chief of Imaging Systems & Research in Radiology at the Washington DC Veterans Affairs Medical Center.In April 2010, he also joined the FDA as Associate Director in the Division of Imaging and Applied Mathematics/OSEL. In 2018 he left the VA and currently splits his time between the FDA and private practice radiology in Florida. His clinical activities include spinal MRI and general ultrasound. His research interests include PACS, digital signal processing, quantitative ultrasound including Doppler, ultrasound elastography, and photoacoustic tomography. He was chair of the FDA radiological Devices Panel from 1999 to 2002 and has been involved in the approval of several new technologies including high resolution breast ultrasound, the first digital mammographic system, the first computer aided detection system for mammography, and the first computer aided nodule detection system for chest radiographs as well as the ultrasound contrast agent albunex. He also led the team that developed the AIUM breast ultrasound accreditation program, and helped develop the ARDMS registry in breast ultrasound. He is currently also vice chairman of the Ultrasound Coordinating Committee of the RSNA Quantitative Imaging Biomarker Alliance (QIBA) and is the principal author of the forthcoming QIBA Ultrasound Shear Wave Speed Profile which will provide a standard approach to acquisition of shear wave speed data for research, clinical application and regulatory testing.
"About the title" may belong to another edition of this title.
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