This edited book is divided into three sections covering 3D ultrasound devices, 3D ultrasound applications, and machine learning tools using 3D ultrasound imaging and written with physicians, engineers, and advanced graduate students in mind.
3D ultrasound techniques have been increasingly used in diagnosis, minimally invasive image-guided interventions, and intra-operative surgical use. Today, most ultrasound system manufacturers provide 3D imaging capability as part of the systems. This availability has stimulated researchers to develop various machine learning tools to automatically detect and diagnose diseases, such as cancer, monitor the progression and regression of diseases, such as carotid atherosclerosis, guide and track tools being introduced into the body, such as brachytherapy and biopsy needles.
This edited book is divided into three sections covering 3D ultrasound devices, 3D ultrasound applications, and machine learning tools using 3D ultrasound imaging and written with physicians, engineers, and advanced graduate students in mind.
Features:
- Provides descriptions of mechanical, tracking, and array approaches for generating 3D ultrasound images
- Details the applications of 3D ultrasound for diagnostic application and in image-guided intervention and surgery
- Explores the cutting-edge use of machine learning in detection, diagnosis, monitoring, and guidance for a variety of clinical applications
Chapter 1: 2-D Arrays.
Chapter 2: Mechanical 3D Ultrasound Scanning
Devices.
Chapter 3: Freehand 3D Ultrasound: Principle and Clinical
Applications.
Chapter 4: 3D Ultrasound Algorithms and Applications for Liver
Tumor Ablation.
Chapter 5: The Use of 3D Ultrasound in Gynecologic
Brachytherapy.
Chapter 6: 3D Automated Breast Ultrasound: Past, Present, and
Emerging 3D ABUS Devices and Clinical Evidence.
Chapter 7: Applications of 3D
Ultrasound in Musculoskeletal Research.
Chapter 8: Local vessel wall and
plaque volume evaluation of three-dimensional carotid ultrasound images for
sensitive assessment of the effect of therapies on atherosclerosis.
Chapter
9: 3D Ultrasound for Biopsy of the Prostate.
Chapter 10: Carotid
Atherosclerosis Segmentation from 3D ultrasound Images.
Chapter 11:
Segmentation of Neonatal Cerebral Lateral Ventricles from 3D Ultrasound
Images.
Chapter 12: A Review on the Applications of Convolutional Neural
Networks in Ultrasound-based Prostate Brachytherapy.
Chapter 13: Freehand 3D
Reconstruction in Fetal Ultrasound.
Chapter 14: Localizing Standard Plane in
3D Fetal Ultrasound.
Aaron Fenster, PhD, is a Scientist at the Robarts Research Institute, London, Ontario, Canada, and founder and past director of the Imaging Research Laboratories, at the Robarts Research Institute. He is a Professor and Chair of the Division of Imaging Sciences of the Department of Medical Imaging at The Western University. In addition, he is the founder and past Director of the graduate program in Biomedical Engineering and past Director of the Biomedical Imaging Research Centre at Western University.
