Improving Comparative Radiography by Multi-resolution 3D-2D Evolutionary Image Registration

  1. Oscar Gómez 11
  2. Oscar Ibáñez 112
  3. Andrea Valsecchi 112
  4. Oscar Cordón 11
  1. 1 Universidad de Granada
    info

    Universidad de Granada

    Granada, España

    ROR https://ror.org/04njjy449

  2. 2 Panacea Cooperative Research S. Coop. (Ponferrada, Spain)
Libro:
Hybrid Artificial Intelligent Systems. 14th International Conference, HAIS 2019: León, Spain, September 4–6, 2019. Proceedings
  1. Hilde Pérez García (coord.)
  2. Lidia Sánchez González (coord.)
  3. Manuel Castejón Limas (coord.)
  4. Héctor Quintián Pardo (coord.)
  5. Emilio Corchado Rodríguez (coord.)

Editorial: Springer Suiza

ISBN: 978-3-030-29859-3 978-3-030-29858-6

Año de publicación: 2019

Páginas: 99-110

Congreso: Hybrid Artificial Intelligent Systems (14. 2019. León)

Tipo: Aportación congreso

Resumen

Comparative radiography has a crucial role in the forensic identification endeavor. A proposal to automate the comparison of antemortem and post-mortem radiographs has been recently proposed based on an evolutionary image registration method. It considers the use of differential evolution to estimate the parameters of a 3D-2D registration transformation that automatically superimposes a bone surface model over a radiograph of the same bone. The main drawback of this proposal is the high computational cost. This contribution tackled this high computational cost by incorporating multi-resolution and multi-start strategies into its optimization process. We have studied the accuracy, robustness and computation time of the different configurations of the proposed method with synthetic images of patellae, clavicles and frontal sinuses. A significant improvement has been obtained in comparison to the state-of-the-art method in term of the robustness of the optimization method and computational cost with a drop in accuracy smaller than the 0.5% of the pixels of the silhouette of the bone or cavity.