scholarly journals Automatic Segmentation of Mandible from Conventional Methods to Deep Learning—A Review

2021 ◽  
Vol 11 (7) ◽  
pp. 629
Author(s):  
Bingjiang Qiu ◽  
Hylke van der Wel ◽  
Joep Kraeima ◽  
Haye Hendrik Glas ◽  
Jiapan Guo ◽  
...  
Keyword(s):  
Imaging Techniques ◽  
Automatic Segmentation ◽  
Maxillofacial Surgery ◽  
Cone Beam ◽  
Oral And Maxillofacial Surgery ◽  
Complex Structures ◽  
Valuable Component ◽  
Metal Implants ◽  
Segmentation Methods ◽  
Automatic Methods

Medical imaging techniques, such as (cone beam) computed tomography and magnetic resonance imaging, have proven to be a valuable component for oral and maxillofacial surgery (OMFS). Accurate segmentation of the mandible from head and neck (H&N) scans is an important step in order to build a personalized 3D digital mandible model for 3D printing and treatment planning of OMFS. Segmented mandible structures are used to effectively visualize the mandible volumes and to evaluate particular mandible properties quantitatively. However, mandible segmentation is always challenging for both clinicians and researchers, due to complex structures and higher attenuation materials, such as teeth (filling) or metal implants that easily lead to high noise and strong artifacts during scanning. Moreover, the size and shape of the mandible vary to a large extent between individuals. Therefore, mandible segmentation is a tedious and time-consuming task and requires adequate training to be performed properly. With the advancement of computer vision approaches, researchers have developed several algorithms to automatically segment the mandible during the last two decades. The objective of this review was to present the available fully (semi)automatic segmentation methods of the mandible published in different scientific articles. This review provides a vivid description of the scientific advancements to clinicians and researchers in this field to help develop novel automatic methods for clinical applications.

scholarly journals Automatic Method for Bone Segmentation in Cone Beam Computed Tomography Data Set

2019 ◽  
Vol 10 (1) ◽  
pp. 236 ◽  
Author(s):  
Mantas Vaitiekūnas ◽  
Darius Jegelevičius ◽  
Andrius Sakalauskas ◽  
Simonas Grybauskas
Keyword(s):  
Computed Tomography ◽  
Automatic Segmentation ◽  
Maxillofacial Surgery ◽  
Mean Value ◽  
Cone Beam ◽  
Oral And Maxillofacial Surgery ◽  
Data Sets ◽  
Automatic Method ◽  
Bone Segmentation ◽  
The Mean

Due to technical aspects of Cone Beam Computed Tomography (CBCT), the automatic methods for bone segmentation are not widely used in the clinical practice of endodontics, orthodontics, oral and maxillofacial surgery. The aim of this study was to evaluate method’s accuracy for bone segmentation in CBCT data sets. The sliding three dimensional (3D) window, histogram filter and Otsu’s method were used to implement the automatic segmentation. The results of automatic segmentation were compared with the results of segmentation performed by an experienced oral and maxillofacial surgeon. Twenty patients and their forty CBCT data sets were used in this study (20 preoperative and 20 postoperative). Intraclass Correlation Coefficients (ICC) were calculated to prove the reliability of surgeon segmentations. ICC was 0.958 with 95% confidence interval [0.896 ... 0.983] in preoperative data sets and 0.931 with 95% confidence interval [0.836 ... 0.972] in postoperative data sets. Three basic metrics were used in order to evaluate the accuracy of the automatic method—Dice Similarity Coefficient (DSC), Root Mean Square (RMS), Average Distance Error (ADE) of surfaces mismatch and additional metric in order to evaluate computation time of segmentation was used. The mean value of preoperative DSC was 0.921, postoperative—0.911, the mean value of preoperative RMS was 0.559 mm, postoperative—0.647 mm, the ADE value of preoperative cases was 0.043 mm, postoperative—0.057 mm, the mean computational time to perform the segmentation was 46 s. The automatic method showed clinically acceptable accuracy results and thus can be used as a new tool for automatic bone segmentation in CBCT data. It can be applied in oral and maxillofacial surgery for performance of 3D Virtual Surgical Plan (VSP) or for postoperative follow-up.

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 ◽  
...  
Keyword(s):  
State Of The Art ◽  
Maxillofacial Surgery ◽  
Cone Beam ◽  
Oral And Maxillofacial Surgery ◽  
Metal Artifacts ◽  
Shape Model ◽  
High Attenuation ◽  
Mandible Shape ◽  
Prior Shape ◽  
Segmentation Models

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.

scholarly journals Cone Beam Computed Tomography in Oral and Maxillofacial Surgery: An Evidence-Based Review

2019 ◽  
Vol 7 (2) ◽  
pp. 52 ◽  
Author(s):  
Robert Weiss ◽  
Andrew Read-Fuller
Keyword(s):  
Computed Tomography ◽  
Head And Neck ◽  
Cone Beam Computed Tomography ◽  
Financial Burden ◽  
Maxillofacial Surgery ◽  
Cone Beam ◽  
Future Research ◽  
Oral And Maxillofacial Surgery ◽  
Evidence Based ◽  
3 Dimensional

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.

scholarly journals Misdiagnosis and Mismanagement of an Infectious Impacted Canine: A Case Presentation

2021 ◽  
Vol 16 (3) ◽  
Author(s):  
Alireza Navabazam ◽  
Somayyeh Ebrahimi ◽  
Hadi Noori
Keyword(s):  
Nasal Congestion ◽  
Maxillofacial Surgery ◽  
Acute Bronchitis ◽  
Response To Treatment ◽  
Cone Beam ◽  
Oral And Maxillofacial Surgery ◽  
Case Presentation ◽  
Tooth Impaction ◽  
Impacted Canine ◽  
The Face

: 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.

scholarly journals Comparative analysis of features of chronic maxillary sinusitis of various genesis

2019 ◽  
Vol 9 (33) ◽  
pp. 27-33
Author(s):  
Aleksandre Kobakhidze ◽  
Elena Merkulova ◽  
Natalia Gvozdeva ◽  
Dilyana Vicheva
Keyword(s):  
Nasal Septum ◽  
Chronic Sinusitis ◽  
Maxillary Sinusitis ◽  
Maxillofacial Surgery ◽  
Treatment Strategies ◽  
Cone Beam ◽  
Oral And Maxillofacial Surgery ◽  
Ethmoid Bone ◽  
Ostiomeatal Complex ◽  
Chronic Maxillary Sinusitis

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.

scholarly journals Evaluation of Secondary Chronic Suppurative Osteomyelitis of Jaw in 15 Cases: A Retrospective Analysis

2021 ◽  
Author(s):  
Varsha Manekar ◽  
Vandana Gadve ◽  
Vijaya Dhote ◽  
Sulabha Radke
Keyword(s):  
Antibiotic Therapy ◽  
Chronic Osteomyelitis ◽  
Imaging Techniques ◽  
Demographic Data ◽  
Correct Diagnosis ◽  
Maxillofacial Surgery ◽  
Signs And Symptoms ◽  
Oral And Maxillofacial Surgery ◽  
Odontogenic Infections ◽  
Common Causes

Introduction: Chronic osteomyelitis may become a refractory condition and is more difficult to treat. Therefore, for correct diagnosis and evaluation of chronic osteomylitis, primary health care practitioners must have knowledge of signs and symptoms associated with osteomyelitis for effective management. Aim: To evaluate secondary chronic suppurative osteomyelitis of jaw in 15 cases. Materials and Methods: This was a retrospective study of all patients treated for maxillo-mandibular secondary chronic osteomyelitis over a period of six years (January 2013 to December 2018) in Department of Oral and Maxillofacial Surgery, Government Dental College and Hospital, Nagpur, Maharashtra, India. This study was carried out in between November 2019 to November 2020. A total of fifteen cases were identified which were diagnosed as Secondary Chronic Suppurative Osteomyelitis (SCO) and treated for same. The cases were evaluated for demographic data, risk factors, aetiology, clinical presentation, radiological findings and the management. Data was collected through retrospective search of records and was arranged in descriptive tabular format without statistical analysis. Results: Out of 15 cases 9 (60%) were female. The patients ranged in age from 21 to 56 years with a mean age of 36.6±9.0 years. The mean age at first symptoms was 35.5 years (20-55), with a standard deviation of 9.12 years. The distribution of osteomyelitis in the jaws was dominated by the cases that occurred in the mandible i.e., 73.33% (11 cases) and the maxilla 26.66% (four cases) with most common involved site was body and angle region of mandible (eight cases) followed by premolar region two cases and anterior region one case. In this study, five cases (33.33%) had carious lesion and seven cases (46.67%) had infected extraction socket. Other causes of infection were osteoradionecrosis in one case and superimposed infection like mucormycosis in two cases. The most common causes of chronic osteomyelitis of the jaws were directly related to odontogenic infections like infected unhealed socket. Decortication and curettage was done in four cases. Decortication and sequestrectomy were performed in five cases and debridement of necrosed bone in three cases. Sinus opening, debridement of necrosed wall and packing were done in three cases of SCO involving maxilla. Duration of antibiotic therapy in all patients averaged five weeks. Conclusion: The accurate diagnosis with the help of recent imaging techniques, adequate antibiotic therapy as well as surgical treatment was keys for the success of SCO management.

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