Simulation and Synthesis in Medical Imaging First International Workshop, SASHIMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Tsaftaris, Sotirios A. (Επιμελητής έκδοσης), Gooya, Ali (Επιμελητής έκδοσης), Frangi, Alejandro F. (Επιμελητής έκδοσης), Prince, Jerry L. (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Σειρά: Lecture Notes in Computer Science, 9968
• Θέματα: Computer science.; Algorithms.; Artificial intelligence.; Computer simulation.; Computer graphics.; Image processing.; Pattern recognition.; Computer Science.; Image Processing and Computer Vision.; Simulation and Modeling.; Pattern Recognition.; Computer Graphics.; Artificial Intelligence (incl. Robotics).; Algorithm Analysis and Problem Complexity.

 This book constitutes the refereed proceedings of the First International Workshop on Simulation and Synthesis in Medical Imaging, held in conjunction with MICCAI 2016, in Athens, Greece, in October 2016. The 17 revised full papers presented together in this book were carefully reviewed and selected from 21 submissions. The contributions span the following broad categories: fundamental methods for image-based biophysical modeling and image synthesis; biophysical and data-driven models of disease progression or organ development; biophysical and data-driven models of organ motion and deformation; biophysical and data-driven models of image formation and acquisition; segmentation/registration across or within modalities to aid the learning of model parameters; cross modality (PET/MR, PET/CT, CT/MR, etc.) image synthesis; simulation and synthesis from large-scale image databases; automated techniques for quality assessment of simulations and synthetic images; as well as several applications of image synthesis and simulation in medical imaging such as image registration and segmentation; image denoising and information fusion; image reconstruction from sparse data or sparse views; and real-time simulation of biophysical properties. The papers were divided into two general topics named “simulation based approaches for medical imaging” and “synthesis and its applications in computational medical imaging”. 

 Fundamental methods for image-based biophysical modeling and image synthesis -- Biophysical and data-driven models of disease progression or organ development -- Biophysical and data-driven models of organ motion and deformation -- Biophysical and data-driven models of image formation and acquisition -- Segmentation/registration across or within modalities to aid the learning of model parameters -- Cross modality (PET/MR, PET/CT, CT/MR, etc.) image synthesis -- Simulation and synthesis from large-scale image databases -- Automated techniques for quality assessment of simulations and synthetic images -- Image registration and segmentation -- Image denoising and information fusion -- Image reconstruction from sparse data or sparse views -- Real-time simulation of biophysical properties -- Simulation based approaches for medical imaging -- Synthesis and its applications in computational medical imaging.