RGB-topography and X-rays image registration for idiopathic scoliosis children patient follow-up

Autor: Insaf Setitra, Oualid Djekkoune, Abdelkrim Meziane, Houria Kaced, Sara Ait Ziane, Hanene Belabassi, Afef Benrabia, Nadia Zenati, Noureddine Aouaa
Rok vydání: 2020
Předmět:
FOS: Computer and information sciences
Patient follow up
Computer Networks and Communications
Computer science
Computer Vision and Pattern Recognition (cs.CV)
Computer Science - Computer Vision and Pattern Recognition
Image registration
Idiopathic scoliosis
02 engineering and technology
Scoliosis
FOS: Electrical engineering
electronic engineering
information engineering
0202 electrical engineering
electronic engineering
information engineering
Media Technology
medicine
Computer vision
Rigid transformation
business.industry
Image and Video Processing (eess.IV)
020207 software engineering
Electrical Engineering and Systems Science - Image and Video Processing
medicine.disease
Vertebra
medicine.anatomical_structure
Hardware and Architecture
RGB color model
Artificial intelligence
business
Software
Posterior superior iliac spine
Zdroj: Multimedia Tools and Applications. 80:9027-9054
ISSN: 1573-7721
1380-7501
Popis: Children diagnosed with a scoliosis pathology are exposed during their follow up to ionic radiations in each X-rays diagnosis. This exposure can have negative effects on the patient's health and cause diseases in the adult age. In order to reduce X-rays scanning, recent systems provide diagnosis of scoliosis patients using solely RGB images. The output of such systems is a set of augmented images and scoliosis related angles. These angles, however, confuse the physicians due to their large number. Moreover, the lack of X-rays scans makes it impossible for the physician to compare RGB and X-rays images, and decide whether to reduce X-rays exposure or not. In this work, we exploit both RGB images of scoliosis captured during clinical diagnosis, and X-rays hard copies provided by patients in order to register both images and give a rich comparison of diagnoses. The work consists in, first, establishing the monomodal (RGB topography of the back) and multimodal (RGB and Xrays) image database, then registering images based on patient landmarks, and finally blending registered images for a visual analysis and follow up by the physician. The proposed registration is based on a rigid transformation that preserves the topology of the patient's back. Parameters of the rigid transformation are estimated using a proposed angle minimization of Cervical vertebra 7, and Posterior Superior Iliac Spine landmarks of a source and target diagnoses. Experiments conducted on the constructed database show a better monomodal and multimodal registration using our proposed method compared to registration using an Equation System Solving based registration.
Databáze: OpenAIRE
Externí odkaz: