@article{Leroux2024,

title = {Novel CBCT-MRI Registration Approach for Enhanced Analysis of Temporomandibular Degenerative Joint Disease},

author = {Gaelle Leroux and Claudia Mattos and Jeanne Claret and Eduardo Caleme and Selene Barone and Marcela Gurgel and Felicia Miranda and Joao Goncalves and Paulo Zupelari Goncalves and marina Morettin Zupelari and Larry Wolford and Nina Hsu and Antonio Ruellas and Jonas Bianchi and Juan Prieto and Lucia Cevidanes},

url = {https://doi.org/10.1007/978-3-031-73083-2_7},

doi = {10.1007/978-3-031-73083-2_7},

isbn = {978-3-031-73083-2},

year  = {2024},

date = {2024-09-29},

urldate = {2024-09-29},

journal = {Clinical Image-Based Procedures. CLIP},

volume = {15196},

pages = {63-72},

abstract = {Temporomandibular Degenerative Joint Disease (TM DJD) is characterized by chronic and progressive degeneration of the joint, leading to functional limitations. Converging on enhancing TM DJD diagnosis, prognosis, and personalized patient care, multimodal Cone Beam Computed Tomography (CBCT) and Magnetic Resonance Imaging (MRI) registration aims to allow comprehensive understanding of the articular disc and subchondral bone alterations towards elucidating the onset, advancement, and progression of TM DJDs. This study proposes a novel multimodal image registration (fusion) approach that combines image processing techniques with mutual information to register MRI to CBCT images, enhancing TMJ complex visualization and analysis. The algorithm leverages automated image orientation, resampling, MRI inversion, normalization and rigid mutual information registration methods to align and overlay multimodal images while preserving anatomical details. Evaluation on 70 CBCT and 70 MRI scans acquired at the same time points for 70 TM DJD patients demonstrates robustness to variations in image quality, anatomical morphology, and acquisition protocols. By integrating MRI soft tissue information with CBCT bony details, this novel open-source tool available in the 3D Slicer platform provides a more comprehensive patient-specific TM DJD model. The current 98.75% success rate, with mean absolute rotation differences of 1.53 degrees ± 1.75 degrees, 1.69 degrees ± 1.54 degrees, and 2.70 degrees ± 2.89 degrees in Pitch, Roll and Yaw respectively; and translation differences of 0.92mm ± 1.64mm, 0.98mm ± 0.85mm, and 0.5mm ± 0.43mm in respectively the Left-Right, Antero-Posterior and Supero-Inferior axes. The proposed approach has potential to enhance care for TM DJD and other conditions requiring multimodal images.

},

keywords = {3D Slicer, CBCT, MRI, TMJ complex visualization},

pubstate = {published},

tppubtype = {article}

}