ID - 131788441 TI - Deformable Registration Techniques for Thoracic CT Images : An Insight into Medical Image Registration AU - Abidi, Ali Imam AU - Singh, S.K. PY - 2020 SN - 9789811058370 PB - Singapore Springer Singapore, Imprint: Springer DB - UniCat KW - Mathematical statistics KW - Biomathematics. Biometry. Biostatistics KW - Biological techniques KW - Physical methods for diagnosis KW - Electronics KW - Telecommunication technology KW - Artificial intelligence. Robotics. Simulation. Graphics KW - Computer. Automation KW - patroonherkenning KW - factoranalyse KW - optische communicatie KW - optische elektronica KW - bio-informatica KW - biologie KW - grafische vormgeving KW - datacommunicatie KW - radiologie KW - medische informatica UR - https://www.unicat.be/uniCat?func=search&query=sysid:131788441 AB - This book focuses on novel approaches for thoracic computed tomography (CT) image registration and determination of respiratory motion models in a range of patient scenarios. It discusses the use of image registration processes to remove the inconsistencies between medical images acquired using different devices. In the context of comparative research and medical analysis, these methods are of immense value in image registration procedures, not just for thoracic CT images, but for all types of medical images in multiple modalities, and also in establishing a mean respiration motion model. Combined with advanced techniques, the methods proposed have the potential to advance the field of computer vision and help improve existing methods. The book is a valuable resource for those in the scientific community involved in modeling respiratory motion for a large number of people. . ER -