The application of 3D ultrasound technologies in intraoperative surgery, minimally invasive image-guided interventions, and diagnosis has grown. These days, the majority of ultrasonic system manufacturers include 3D imaging functionality in their products. This accessibility has encouraged researchers to create a range of machine learning tools that can automatically identify and diagnose conditions like cancer, track the onset and progression of conditions like carotid atherosclerosis, and direct and monitor the insertion of tools like biopsy needles and brachytherapy.

Written with doctors, engineers, and advanced graduate students in mind, this edited book is structured into three sections addressing 3D ultrasound devices, 3D ultrasound applications, and machine learning algorithms employing 3D ultrasound imagery.

Qualities:

describes methods for creating 3D ultrasound images that are mechanical, tracking, and array based.Describes the uses of 3D ultrasound in image-guided surgery and intervention, as well as for diagnostic purposes.examines the state-of-the-art applications of machine learning for a range of clinical applications, including detection, diagnosis, monitoring, and guidance.