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Multimodal image registration of the scoliotic torso for surgical planning

Rola Harmouche, Farida Cheriet, Hubert Labelle and Jean Dansereau

Article (2013)

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Terms of Use: Creative Commons Attribution.
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Cite this document: Harmouche, R., Cheriet, F., Labelle, H. & Dansereau, J. (2013). Multimodal image registration of the scoliotic torso for surgical planning. BMC Medical Imaging, 13. doi:10.1186/1471-2342-13-1
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Background: This paper presents a method that registers MRIs acquired in prone position, with surface topography (TP) and X-ray reconstructions acquired in standing position, in order to obtain a 3D representation of a human torso incorporating the external surface, bone structures, and soft tissues. Methods: TP and X-ray data are registered using landmarks. Bone structures are used to register each MRI slice using an articulated model, and the soft tissue is confined to the volume delimited by the trunk and bone surfaces using a constrained thin-plate spline. Results: The method is tested on 3 pre-surgical patients with scoliosis and shows a significant improvement, qualitatively and using the Dice similarity coefficient, in fitting the MRI into the standing patient model when compared to rigid and articulated model registration. The determinant of the Jacobian of the registration deformation shows higher variations in the deformation in areas closer to the surface of the torso. Conclusions: The novel, resulting 3D full torso model can provide a more complete representation of patient geometry to be incorporated in surgical simulators under development that aim at predicting the effect of scoliosis surgery on the external appearance of the patient's torso.

Uncontrolled Keywords

Anatomic Landmarks; Humans; Imaging, Three-Dimensional; Magnetic Resonance Imaging; Preoperative Care; Reproducibility of Results; Scoliosis; Sensitivity and Specificity; Surgery, Computer-Assisted; Tomography, X-Ray Computed; Torso

Open Access document in PolyPublie
Subjects: 2100 Génie mécanique > 2100 Génie mécanique
2700 Technologie de l'information > 2700 Technologie de l'information
9000 Sciences de la santé > 9000 Sciences de la santé
Department: Département de génie informatique et génie logiciel
Département de génie mécanique
Research Center: Non applicable
Date Deposited: 05 Dec 2018 16:24
Last Modified: 08 Apr 2021 10:43
PolyPublie URL: https://publications.polymtl.ca/3426/
Document issued by the official publisher
Journal Title: BMC Medical Imaging (vol. 13)
Publisher: BioMed Central Ltd
Official URL: https://doi.org/10.1186/1471-2342-13-1


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