3D-2D Registration Using X-Ray Simulation and CMA-ES

Autor:	Tianci Wen, Radu Paul Mihail, Franck Vidal
Rok vydání:	2021
Předmět:	Hybrid image business.industry Computer science Radiography 3d anatomy Imaging phantom respiratory tract diseases Mesh model Early results Computer vision Artificial intelligence CMA-ES business Evolution strategy
Zdroj:	Applications of Evolutionary Computation ISBN: 9783030726980 EvoApplications
DOI:	10.1007/978-3-030-72699-7_29
Popis:	Radiographs of the hand are useful in diagnosing and staging diseases such as rheumatoid arthritis (RA) and other musculoskeletal diseases. Radiographs are projections of the 3D anatomy, with the useful information such as pose and pathology becoming lost in the process. We propose a 3D hand pose recovery method for radiographs of hands using a novel hybrid image registration method. Our pose recovery pipeline consists of aligning a simulated X-ray (digitally reconstructed radiograph) of an articulated phantom mesh model to a real hand radiograph using Covariance Matrix Adaptation Evolution Strategy. Early results demonstrate that our approach works well. Further inquiry is required to evaluate the applicability of our registration approach to other articulated musculoskeletal anatomy.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::3ce60f0e56388a695d1247c7a7176a04 https://doi.org/10.1007/978-3-030-72699-7_29 Zobrazit plný text záznamu