Abstract
This study was aimed to explore the application value of cone beam computed tomography (CBCT) imaging technology based on iterative noise reduction (INR) algorithm in the evaluation of the efficacy of root canal therapy (RCT) for dental pulp disease. Eighty eight dental pulp patients who underwent RCT were taken as the research subjects, and INR algorithm-based CBCT and digital periapical film (DPF) were adopted for examination. Basic information of patients, image performance, and filling quality was recorded. It was found that the INR algorithm-based CBCT images achieved favorable noise reduction effects both within and between slices. Filling length of root canal was evaluated by CBCT and DPF, and differences between them were considerable (P<0.05). Root canal closeness was evaluated by CBCT and DPF, and substantial differences between them were shown (P<0.05). Moreover, differences on root canal filling quality examined by CBCT and DPF were also remarkable (P<0.05). Applying CBCT imaging technology based on INR algorithm to the analysis of the curative effect of dental pulp patients can better retain the image information and can also more accurately evaluate the curative effect of different RCTs.
Highlights
Dental pulp disease is an important reason for patients to see a doctor, which causes the lack of teeth
The cone beam computed tomography (CBCT) imaging technology under iterative noise reduction (INR) algorithm was proposed to process medical CBCT images. e results showed that the CBCT images under the INR algorithm had achieved relatively ideal noise reduction effects within and between slices, which was consistent with the research results of Hu et al [14]
INR algorithm was applied to improve the image quality of CBCT, which was adopted in the curative effect analysis of root canal therapy (RCT) for dental pulp patients
Summary
Dental pulp disease is an important reason for patients to see a doctor, which causes the lack of teeth. With the continuous improvement of RCT technology, 2D X-ray inspection methods can no longer meet the needs in some complex dental diagnosis and treatment. CBCT adopts wide-beam scanning imaging, which can scan and detect from the three directions of the transverse plane, the sagittal plane, and the coronal plane. It can deal with distortion and overlap of 2D images and has high tissue resolution and low-dose radiation, which is widely utilized in the fields of endodontics, oral, and maxillofacial surgery [6,7,8]
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