scholarly journals Robust and Accurate Mandible Segmentation on Dental CBCT Scans Affected by Metal Artifacts Using a Prior Shape Model

2021 ◽  
Vol 11 (5) ◽  
pp. 364
Author(s):  
Bingjiang Qiu ◽  
Hylke van der van der Wel ◽  
Joep Kraeima ◽  
Haye Hendrik Glas ◽  
Jiapan Guo ◽  
...  

Accurate mandible segmentation is significant in the field of maxillofacial surgery to guide clinical diagnosis and treatment and develop appropriate surgical plans. In particular, cone-beam computed tomography (CBCT) images with metal parts, such as those used in oral and maxillofacial surgery (OMFS), often have susceptibilities when metal artifacts are present such as weak and blurred boundaries caused by a high-attenuation material and a low radiation dose in image acquisition. To overcome this problem, this paper proposes a novel deep learning-based approach (SASeg) for automated mandible segmentation that perceives overall mandible anatomical knowledge. SASeg utilizes a prior shape feature extractor (PSFE) module based on a mean mandible shape, and recurrent connections maintain the continuity structure of the mandible. The effectiveness of the proposed network is substantiated on a dental CBCT dataset from orthodontic treatment containing 59 patients. The experiments show that the proposed SASeg can be easily used to improve the prediction accuracy in a dental CBCT dataset corrupted by metal artifacts. In addition, the experimental results on the PDDCA dataset demonstrate that, compared with the state-of-the-art mandible segmentation models, our proposed SASeg can achieve better segmentation performance.

2021 ◽  
Vol 11 (6) ◽  
pp. 560
Author(s):  
Bingjiang Qiu ◽  
Hylke van der Wel ◽  
Joep Kraeima ◽  
Haye Hendrik Glas ◽  
Jiapan Guo ◽  
...  

Accurate segmentation of the mandible from cone-beam computed tomography (CBCT) scans is an important step for building a personalized 3D digital mandible model for maxillofacial surgery and orthodontic treatment planning because of the low radiation dose and short scanning duration. CBCT images, however, exhibit lower contrast and higher levels of noise and artifacts due to extremely low radiation in comparison with the conventional computed tomography (CT), which makes automatic mandible segmentation from CBCT data challenging. In this work, we propose a novel coarse-to-fine segmentation framework based on 3D convolutional neural network and recurrent SegUnet for mandible segmentation in CBCT scans. Specifically, the mandible segmentation is decomposed into two stages: localization of the mandible-like region by rough segmentation and further accurate segmentation of the mandible details. The method was evaluated using a dental CBCT dataset. In addition, we evaluated the proposed method and compared it with state-of-the-art methods in two CT datasets. The experiments indicate that the proposed algorithm can provide more accurate and robust segmentation results for different imaging techniques in comparison with the state-of-the-art models with respect to these three datasets.


2019 ◽  
Vol 7 (2) ◽  
pp. 52 ◽  
Author(s):  
Robert Weiss ◽  
Andrew Read-Fuller

Cone Beam Computed Tomography (CBCT) is a valuable imaging technique in oral and maxillofacial surgery (OMS) that can help direct a surgeon’s approach to a variety of conditions. A 3-dimensional analysis of head and neck anatomy allows practitioners to plan appropriately, operate with confidence, and assess results post-operatively. CBCT imaging has clear indications and limitations. CBCT offers the clinician 3-dimensional and multi-planar views for a more accurate diagnosis and treatment without the financial burden and radiation exposure of conventional computed tomography (CT) scans. Furthermore, CBCT overcomes certain limitations of 2-dimensional imaging, such as distortion, magnification, and superimposition. However, CBCT lacks the detailed depiction of soft tissue conditions for evaluation of pathologic conditions, head and neck infections, and temporomandibular joint (TMJ) disc evaluation. This review evaluates the evidence-based research supporting the application of CBCT in the various fields of oral and maxillofacial surgery, including dentoalveolar surgery, dental implants, TMJ, orthognathic surgery, trauma, and pathology, and will assess the value of CBCT in pre-operative assessment, surgical planning, and post-operative analysis when applicable. Additionally, the significant limitations of CBCT and potential areas for future research will be discussed.


2021 ◽  
Vol 16 (3) ◽  
Author(s):  
Alireza Navabazam ◽  
Somayyeh Ebrahimi ◽  
Hadi Noori

: Tooth impaction is defined as a partial or complete eruption of a tooth regarding the eruption time. Hereby, we present an infectious canine in a 38-year-old man that primarily presented with chest pain and dyspnea. After two days, he demonstrated a painful swelling and erythema of the face, severe perspiration, nasal congestion, and pleural effusion. The patient was diagnosed with acute bronchitis, mucormycosis, and nasal septum abscess, leading to unnecessary antibiotic therapy and lack of treatment response. After oral and maxillofacial surgery consultation, cone-beam computed tomography (CBCT) revealed an impacted and infectious canine that was surgically extracted. Due to lack of desired response to treatment, he underwent CBCT after oral and maxillofacial surgery consultation. An impacted and infectious canine was detected, which was surgically extracted. Three days later, his symptoms significantly improved, and he was discharged with a stable general condition.


2019 ◽  
Vol 9 (33) ◽  
pp. 27-33
Author(s):  
Aleksandre Kobakhidze ◽  
Elena Merkulova ◽  
Natalia Gvozdeva ◽  
Dilyana Vicheva

Abstract BACKGROUND. There are not many works devoted to the structures of a nasal cavity in odontogenic maxillary sinusitis and to a condition of an alveolar ridge of the maxilla with a rhinogenous genesis of the disease. MATERIAL AND METHODS. 100 patients (N) with chronic sinusitis hospitalized at the ENT (N=50) and Oral and Maxillofacial Surgery (N=50) Departments were examined. The character of anatomic options of a nasal septum in chronic maxillary sinusitis is estimated according to a cone-beam computed tomography (CBCT) with use of our own developed scheme of coordinates in the form of “triangles” which allows establishing versions of the block of the ostiomeatal complex and nasal septum deviation. RESULTS. In cases of rhinogenous and odontogenic causes of maxillary sinusitis, the triangle deviation is detected more often, including a perpendicular plate of the ethmoid bone, the vomer and the quadrangular cartilage, contributing to the block of the ostiomeatal complex. This scheme has allowed us to establish a group of patients with the mixed genesis of maxillary sinusitis in the Otorhinolaryngology and MFS Departments (36% and 42% respectively) and that, in its turn, requires a cross-disciplinary approach when choosing a strategy of treatment. CONCLUSION. In case of rhinogenous genesis of the disease, the bilateral nature of the process with involvement of other paranasal sinuses in the inflammatory process is detected more often. The category of patients with mixed genesis (rhinogenous plus odontogenic) of sinusitis demands a cross-disciplinary approach to diagnosis and making a decision about treatment strategies.


Healthcare ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 1042
Author(s):  
Silvina Friedlander-Barenboim ◽  
Wafi Hamed ◽  
Avraham Zini ◽  
Noam Yarom ◽  
Itzhak Abramovitz ◽  
...  

The study aimed to analyze the uses of cone-beam computed tomography (CBCT) in the diagnosis and treatment in various dental specialties. This 4-year cross-sectional study analyzed the records of 1409 individuals who underwent a CBCT at the Oral and Maxillofacial Center at Sheba Medical Center, Israel. The average age of the patients was 27.9 ± 11.5 (range: 9–86 years). Patients were referred for CBCT by the following departments: Oral and Maxillofacial Surgery (1063; 75.5%), Endodontics (182; 12.9%), Periodontology (122; 8.6%) and Orthodontics (42; 3.0%). Most CBCT radiographs evaluated the maxilla (774; 55.0%), followed by the mandible (481; 34.1%) and both (154; 10.9%). The target anatomical structures included: bone (694; 49.3%), teeth (307; 21.7%), and both jaws (408; 29.0%). The main indications for CBCT use were: assessment of anatomical structures and implant sites (787; 55.9%), determine root canals morphology (182; 12.9%), visualization of impacted teeth, tooth alignment, and localization (177; 12.6%), suspected cysts or tumors (148; 10.5%), evaluation of Temporomandibular joint disorders (106; 7.5%) and other reasons (9; 0.6%). In 279 (19.8%) of cases, the diagnosis changed following CBCT, mainly in Orthodontics tooth analysis (28 (66.7%); p < 0.001). Practitioners and health authorities should be aware of this baseline information regarding CBCT use in the diagnosis and assessment of various oral and maxillofacial pathologies, anomalies and tooth position relative to anatomic structures. Continuing research and publications of CBCT utilization and guidelines are recommended.


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