Craniofacial Imaging
Background of research
The Craniofacial Imaging Research Group at the Kulliyyah of Dentistry, International Islamic University Malaysia (IIUM), is a collaborative team of expert researchers dedicated to advancing the understanding of craniofacial structures through cutting-edge imaging techniques. The group focuses on the development, application, and integration of imaging technologies for improved diagnosis, treatment planning, and outcomes in craniofacial health and dentistry.
- Application of artificial intelligence in cone-beam computed tomography for airway analysis: a narrative review. Diagnostics, 14 () pp. 1-18
- Odontogenic myxoma: a clinicopathological study over 15 years and immunohistochemical analysis. Heliyon, 10 (20) pp. 1-11
- Association of temporomandibular joint space and condylar head position with different skeletal patterns among the Malaysian population. IIUM Journal of Orofacial and Health Sciences, 5 (2) pp. 114-121
- Evaluation of anatomic variations in the posterior superior alveolar artery – A Cone-beam Computed Tomography (CBCT) study. IIUM Journal of Orofacial and Health Science, 5 (2) pp. 130-141
- Sex and age assessment based on mandibular morphometry analysis via dental panoramic tomograph – a retrospective study. Malaysian Journal of Medicine and Health Sciences, 20 (3) pp. 91-96
- Assessment of the prevalence of radix entomolaris and distolingual canal in mandibular first molars in 15 countries: a multinational cross-sectional study with meta-analysis. Journal of Endodontics, 49 (10) pp. 1308-1318
- Applications of hyaluronic acid (HA) in dental implant treatment: a systematic review. Malaysian Journal of Medicine and Health Sciences, 19 (6) pp. 277-284
- The effect of Salvadora persica ethanolic extract on oral tissue healing in rats: an in vivo study. Saudi Dental Journal, 35 (6) pp. 663-667
- Revisiting genetics of cleft lip with or without cleft palate and cleft palate only: a narrative review. Archives of Orofacial Sciences, 18 (2) pp. 73-88
- Convolutional neural networks for automated tooth numbering on panoramic radiographs: a scoping review. Imaging Science in Dentistry, 53 (4) pp. 271-281
- History of cone beam computed tomography (CBCT). IIUM Microcedential, 17 Jan 2023 () pp.
- Justifications for dental radiographs. Microcredential @ IIUM, 12 Dec 2023 () pp.
- Ostiomeatal complex inflammation with a rare ethmoid sinolith utilizing cone-beam computed tomography: a clinical and radiological approach to diagnosis. Radiology Case Reports, 19 (1) pp. 268-276
- Unusual demonstration of paradental cyst affecting impacted lower third molar. Scholars Journal of Medical Case Reports, 11 (10) pp. 1757-1762
The effectiveness of GuttaFlow Bioseal Obturation material in single rooted Mandibular Premolars: a scanning electron microscopy study. Malaysian Journal of Microscopy, 18 (1) pp. 77-88
Multidisciplinary management of obstructive sleep apnea: challenges and current perspective. IIUM Journal of Orofacial and Health Sciences, 3 (2) pp. 159-161
Osteonecrosis of the jaw in patients taking atorvastatin: case series. IUM Journal of Orofacial and Health Science, 3 (2) pp. 219-222
Central odontogenic myxoma: a radiographic analysis. International Journal of Dentistry, 2021 () pp.
Accuracy of CBCT measurements of posterior mandible. Journal of Craniomaxillofacial Research, 8 (2) pp. 51-59
Necessity of cone‑beam computed tomography ‑ an introduction and oral radiologist sketch. The Saint’s International Dental Journal, 4 (2) pp. 76-76
Application of a new system for classifying root canal morphology in undergraduate teaching and clinical practice: a national survey in Malaysia. International Endodontic Journal, 53 (6) pp. 871-879
Interpreting panoramic radiographs for beginners. BDJ Student, 27 (3) pp. 49-49
Bone regeneration at the distal aspect of the adjacent second molar after lower third molar coronectomy: a long-term analysis. International Journal of Oral and Maxillofacial Surgery, 49 (10) pp. 1360-1366
Radiographic appearance of susuk in the facial region: a systematic review. Malaysian Journal of Medicine and Health Sciences, 16 (3) pp. 295-299
Dental implant monitoring using resonance frequency analysis (RFA) and cone beam computed tomography (CBCT) measurement. International Journal of Technology, 11 (5) pp. 1015-1024
Surgical outcome following third molar surgery: the role of case selection among undergraduate dental students. Craniomaxillofacial Trauma and Reconstruction, 13 (3 Supplement) pp. 14-15
The Craniofacial Imaging Research Group at the Kulliyyah of Dentistry, IIUM, is involved in a wide range of research activities aimed at enhancing craniofacial and dental health through innovative imaging technologies. Their key areas of research include:
- 3D Imaging and Analysis of Craniofacial Structures
Utilizing advanced imaging techniques such as 3D Cone Beam Computed Tomography (CBCT) and Magnetic Resonance Imaging (MRI), the group performs detailed analyses of craniofacial anatomy to improve diagnosis, treatment planning, and surgical interventions. - Craniofacial Anomalies and Syndromes
The group researches imaging of craniofacial deformities, including cleft lip and palate, craniosynostosis, and other congenital conditions. Their work aims to optimize imaging protocols to better understand structural variations and support corrective treatments. - Orthodontic and Orthognathic Surgical Planning
Research in this area focuses on using imaging for precise diagnosis and treatment planning in orthodontics and orthognathic surgery, particularly for complex cases requiring high-precision imaging for successful outcomes. - Temporomandibular Joint (TMJ) Disorders
The team explores TMJ disorders using advanced imaging to identify abnormalities, improve diagnostic accuracy, and enhance treatment approaches for patients with TMJ-related dysfunctions. - AI in Dental and Craniofacial Imaging
The research group integrates Artificial Intelligence (AI) and machine learning into craniofacial imaging to develop automated systems for the detection, segmentation, and analysis of craniofacial structures. This includes AI-driven diagnostics, predictive modeling for treatment outcomes, and enhanced image processing for faster and more accurate interpretation of complex dental and craniofacial data. - Digital Imaging in Dentistry
The team focuses on the development and enhancement of digital imaging systems in dentistry, including intraoral scanners, digital radiography, and image-guided surgeries, to improve patient care and treatment precision. - Biometrics and Forensic Imaging
Research in this area involves the application of craniofacial imaging in forensic science for human identification, trauma analysis, and skeletal studies, contributing to forensic odontology and biometric research. - Virtual Surgical Simulation and Augmented Reality
The group develops virtual surgical planning and augmented reality models that assist in preoperative planning and intraoperative navigation for craniofacial and maxillofacial surgeries, advancing surgical precision - Maxillofacial Trauma Imaging
Research in this area aims to improve diagnostic accuracy and patient care for trauma-related facial injuries by enhancing imaging techniques for maxillofacial trauma management.
Leader & Members
- Dr. Ahmad Badruddin Ghazali
- Prof. Dr. Zainul Ahmad Rajion
- Dr. Izzati Nabilah Binti Ismail
- Dr. Imran Zainal Abidin
- Dr. Haszelini Hassan
- CRLY2023W04396- SMILED: SMART MACHINE FOR IDENTIFYING DENTAL LESION
- CRLY2023W06355- DETECTION OF CONE CUT ERRORS IN DENTAL BITEWING RADIOGRAPHS USING CNN FOR QUALITY ASSURANCE
- Best Student Award: A DEEP LEARNING METHOD TO SEGMENT THE TEMPOROMANDIBULAR JOINT (TMJ) ANATOMY FROM MAGNETIC RESONANCE IMAGING (MRI) in IIUM Research and Innovation Day 2024, 2 July 2024
- Gold Medal Award: A DEEP LEARNING METHOD TO SEGMENT THE TEMPOROMANDIBULAR JOINT (TMJ) ANATOMY FROM MAGNETIC RESONANCE IMAGING (MRI) in IIUM Research and Innovation Day 2024, 2 July 2024
- Special Award: SMILED: SMART MACHINE FOR IDENTIFYING DENTAL LESION in Malaysia Technology Expo 2023
- Gold Medal Award: SMILED: SMART MACHINE FOR IDENTIFYING DENTAL LESION in Malaysia Technology Expo 2023
2024
- Webinar Ilmiah: The Application of CBCT with AI-enabled Software in Your Dental Practice: How does it work to shorten your workflow?, OMFR Universitas Indonesia, 24 October 2024
- Unveiling the Hidden- Mastering Panoramic Radiography for Dental Diagnosis, MDA Southern Dental Congress, 10-12 October 2024
- 3 in 1 Visiting Professor Program Radioloqv and Forensic Odontologv in Dentistrv, Universitas Brawijaya, 21 August- 4 September 2024
- CT Interpretation in Maxillofacial Trauma, Basic Surgical Skills Workshop, Hospital Sandakan, 23 September 2024
- Implant Imaging in Diploma of Dental Implantology Program at the University of Puthisastra, Cambodia, January 2024
2023
- Radiographic Image quality assessment using artificial intelligence in dentistry in 18th International Symposium METAL IONS 2023- Recent Advances in Oral Medicine & Radiology, Environmental and Public Health on 28th October and 29st October, 2023, at Nehru Science Centre, Mumbai
2022
- FAST TALK SERIES NO. 04/2022: APPLICATION OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE, 18 July 2022
- Artificial Inteligence in Dentistry-A new frontier, Malaysian International Dental Show 2022, 22 May 2022
- AI in Dentistry: IOC 2022, Universitas Gadjah Mada, 31 August-10 September 2022