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Registration of CT with PET: A Comparison of Intensity-Based Approaches

  • Gisèle Pereira
  • Inês Domingues
  • Pedro Martins
  • Pedro H. AbreuEmail author
  • Hugo Duarte
  • João Santos
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11255)

Abstract

The integration of functional imaging modality provided by Positron Emission Tomography (PET) and associated anatomical imaging modality provided by Computed Tomography (CT) has become an essential procedure both in the evaluation of different types of malignancy and in radiotherapy planning. The alignment of these two exams is thus of great importance. In this research work, three registration approaches (1) intensity-based registration, (2) rigid translation followed by intensity-based registration and (3) coarse registration followed by fine-tuning were evaluated and compared. To characterize the performance of these methods, 161 real volume scans from patients involved in Hodgkin Lymphoma staging were used: CT volumes used for radiotherapy planning were registered with PET volumes before any treatment. Registration results achieved 78%, 60%, and 91% of accuracy for methods (1), (2) and (3), respectively. Registration methods validation was extended to a corresponding landmarks points distance calculation. Methods (1), (2) and (3) achieved a median improvement registration rate of 66% mm, 51% mm and 70% mm, respectively. The accuracy of the proposed methods was further confirmed by extending our experiments to other multimodal datasets and in a monomodal dataset with different acquisition conditions.

Keywords

PET CT Registration Cancer Treatment planning 

Notes

Acknowledgment

This article is a result of the project NORTE-01-0145-FEDER-000027, supported by Norte Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF).

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Gisèle Pereira
    • 1
  • Inês Domingues
    • 1
    • 2
  • Pedro Martins
    • 1
  • Pedro H. Abreu
    • 1
    Email author
  • Hugo Duarte
    • 2
  • João Santos
    • 2
  1. 1.CISUC, Department of Informatics EngineeringUniversity of CoimbraCoimbraPortugal
  2. 2.IPO-Porto Research CentrePortoPortugal

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