Description
Springer Image Processing in Radiology Current Applications 1st Editon 2010 Softbound by Emanuele Neri, Davide Caramella, Carlo Bartolozzi
Few fields have witnessed such impressive advances as image processing in radiology. The progress achieved has revolutionized diagnosis and greatly facilitated treatment selection and accurate planning of procedures. This book, written by leading experts from many countries, provides a comprehensive and up-to-date description of how to use 2D and 3D processing tools in clinical radiology. The first section covers a wide range of technical aspects in an informative way. This is followed by the main section, in which the principal clinical applications are described and discussed in depth. To complete the picture, a third section focuses on various special topics. The book will be invaluable to radiologists of any subspecialty who work with CT and MRI and would like to exploit the advantages of image processing techniques. It also addresses the needs of radiographers who cooperate with clinical radiologists and should improve their ability to generate the appropriate 2D and 3D processing. Technical Basis of Image Processing.- US Image Acquisition.- 3D MRI Acquisition: Technique.- MDCT Image Acquisition to Enable Optimal 3D Data Evaluation.- Segmentation of Radiological Images.- Elaboration of the Images in the Spatial Domain. 2D Graphics.- 3D Medical Image Processing.- Virtual Endoscopy.- 3D Image Fusion.- Image Processing on Diagnostic Workstations.- Image Processing: Clinical Applications.- Temporal Bone.- Virtual Endoscopy of the Paranasal Sinuses.- Dental and Maxillofacial Applications.- Virtual Laryngoscopy.- Thorax.- Cardiovascular Applications.- From the Esophagus to the Small Bowel.- CT and MR Colonography.- Techniques of Virtual Dissection of the Colon Based on Spiral CT Data.- Unfolded Cube Projection of the Colon.- Liver.- Pancreas.- Biliary Tract.- Urinary Tract.- Musculoskeletal System.- Special Topics.- Clinical Applications of 3D Imaging in Emergencies.- Computer-Aided Diagnosis: Clinical Applications in the Breast.- Computer Aided Diagnosis: Clinical Applications in CT Colonography.- Ultrasound-, CT- and MR-Guided Robot-Assisted Interventions.- Virtual Liver Surgery Planning.