Activities per year
Project Details
Description
The goal of the interdisciplinary project is to develop an innovative method for the identification the risk of osteoporosis by using Cone-beam Computed Tomography (CBCT) of the maxillofacial region and to evaluate its efficacy by using an end-to-end Deep Learning (DL) approach. CBCT examination is a non-invasive x-ray technology which produces 3D images. Using a DL approach, a Computer Vision method will be elaborated which can identify more quickly and accurately the risk of osteoporosis in women. Consequently, it facilitates the early treatment of the disease as well as prevents osteoporotic fractures. The project will aim for the expansion of personalized medicine, medical and ICT sectors. The project will be conducted by the medical experts from the Rīga Stradiņš University (RSU) and DL researchers from the Institute of Electronics and Computer Sciences (EDI). The patient`s dataset will be collected by RSU researchers, in which CBCT and osteodensitometry studies are planned for 220 patients. The various measurements of the quality and quantity of the bone and radiological bone density in the maxilla and cervical vertebrae will be performed. The results will be used by EDI to develop a computer-based method of semantic segmentation, classification and explainability of osteoporosis. The project will result in 3 scientific articles, 3 presentations for international conferences and developing guidelines for dentists to determine the risk of osteoporosis by using CBCT.
Status | Active |
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Effective start/end date | 3/01/22 → 30/12/24 |
Funding
- Latvian Council of Science: €300,000.00
Keywords
- Artificial Intelligence
- Osteoporosis
- Cone-beam Computed Tomography
- Osteodensitometry
- Bone mineral density
- Deep Learning
- Semantic Segmentation
Field of Science
- 3.2 Clinical medicine
- 1.2 Computer and information sciences
Smart Specialization Area
- Advanced ICT
- Biomedicine, medical technologies and biotechnology
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Activities
- 3 Oral presentation
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The relationship between bone mineral density and grey value measurements of jaw bones in postmenopausal female
Anastasija Beibakova (Speaker), Laura Neimane (Co-author), Laura Jakaite (Co-author), Anda Slaidiņa (Co-author), Oskars Radziņš (Co-author), Ivars Namatevs (Co-author) & Kaspars Sudars (Co-author)
6 Oct 2022 → 8 Oct 2022Activity: Talk or presentation types › Oral presentation
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The impact of reduced general bone mineral density on cortical bone of the edentulous mandible
Laura Jakaite (Speaker), Laura Neimane (Co-author), Anastasija Beibakova (Co-author), Anda Slaidiņa (Co-author), Oskars Radziņš (Co-author), I. Namatevs (Co-author) & Kaspars Sudars (Co-author)
6 Oct 2022 → 8 Oct 2022Activity: Talk or presentation types › Oral presentation
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A deep learning approach for osteoporosis identification using cone-beam computed tomography
Laura Neimane (Speaker), Anda Slaidiņa (Co-author), Oskars Radziņš (Co-author), I. Namatevs (Co-author) & Kaspars Sudars (Co-author)
3 Jun 2022Activity: Talk or presentation types › Oral presentation