Multiobjective optimization framework for landmark measurement error correction in three-dimensional cephalometric tomography

التفاصيل البيبلوغرافية
العنوان: Multiobjective optimization framework for landmark measurement error correction in three-dimensional cephalometric tomography
المؤلفون: Marc Secanell, Manuel O. Lagravère, Alessandro DeCesare, Jason P. Carey
بيانات النشر: The British Institute of Radiology., 2013.
سنة النشر: 2013
مصطلحات موضوعية: Cone beam computed tomography, Palatal Expansion Technique, Computer science, Cephalometry, Overlay, Mandible, Multi-objective optimization, Facial Bones, Technical Report, Imaging, Three-Dimensional, Position (vector), Sphenoid Bone, Image Processing, Computer-Assisted, Humans, Radiology, Nuclear Medicine and imaging, Foramen Magnum, General Dentistry, Reliability (statistics), Retrospective Studies, Skull Base, Observational error, Landmark, Skull, Reproducibility of Results, General Medicine, Anatomy, Cone-Beam Computed Tomography, Otorhinolaryngology, Tomography, Anatomic Landmarks, Algorithm, Orbit, Algorithms, Ear Canal
الوصف: The purpose of this study is to minimize errors that occur when using a four vs six landmark superimpositioning method in the cranial base to define the co-ordinate system. Cone beam CT volumetric data from ten patients were used for this study. Co-ordinate system transformations were performed. A co-ordinate system was constructed using two planes defined by four anatomical landmarks located by an orthodontist. A second co-ordinate system was constructed using four anatomical landmarks that are corrected using a numerical optimization algorithm for any landmark location operator error using information from six landmarks. The optimization algorithm minimizes the relative distance and angle between the known fixed points in the two images to find the correction. Measurement errors and co-ordinates in all axes were obtained for each co-ordinate system. Significant improvement is observed after using the landmark correction algorithm to position the final co-ordinate system. The errors found in a previous study are significantly reduced. Errors found were between 1 mm and 2 mm. When analysing real patient data, it was found that the 6-point correction algorithm reduced errors between images and increased intrapoint reliability. A novel method of optimizing the overlay of three-dimensional images using a 6-point correction algorithm was introduced and examined. This method demonstrated greater reliability and reproducibility than the previous 4-point correction algorithm.
اللغة: English
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::597cbfcb2e9210dff043b0b672a774b0Test
https://europepmc.org/articles/PMC3699979Test/
حقوق: OPEN
رقم الانضمام: edsair.doi.dedup.....597cbfcb2e9210dff043b0b672a774b0
قاعدة البيانات: OpenAIRE