We investigate endodontic disease, in particular apical periodontitis, its occurrence in the population, prevalence, persistence and incidence, and factors related to diagnosis and treatment. The overall goal being to improve diagnosis and treatment of endodontic disease in the general population.

We develop and test 2D and 3D diagnostic imaging technologies to provide accurate diagnostic information to other specialized professionals. Our goal is to support clinical decision-making, providing adequate image quality and reduce the radiation burden to the patients, in several fields of dentistry and oral health.

The focal point of our research is dental biomechanics. How does mechanical loading influence the biological behaviour of the dentoalveolar complex? For this we study the material properties, both of dentoalveolar tissues and dental appliances. Also their structures are examined through 3D imaging.

We investigate the impact of the 3D radiographic imaging method Cone Beam CT on pathological changes and diseases in teeth and the surrounding bone with the overall goal to improve diagnosis and treatment. We aim to suggest evidence-based radiographic protocols with the patient as center of attention.

My research involves the use of novel technology in the clinical workflow, with a major focus on artificial intelligence (AI) through deep learning. Applications include image enhancement, automated image processing (e.g. segmentation), lesion detection, and risk assessment for treatment planning.

We study the effect of using Cone Beam Computer Tomography as a supplement of 2D images in diagnosing pathology in teeth, jaws and at dental implants, as well as in treatment planning of implant placement. Recently, focus has been put on investigating the potential of MRI in the field of dentistry.

We contribute to the development of dental-dedicated MRI as a novel imaging modality within dentistry. We investigate the method with regard to image quality, patient comfort, and clinical usability within multiple fields of dentistry and oral health, ultimately aiming to improve patient care and reduce the radiation burden to the patient.

I am testing the hypothesis that image artefacts caused by common dental materials will not hamper dental-dedicated magnetic resonance images (ddMRI), and that ddMRI is as reliable as cone beam computed tomography for the diagnosis of apical periodontitis and intrabony defects.

My research explores imaging technologies – incl. dental-dedicated magnetic resonance imaging, intraoral scanning, cone beam and micro computed tomography - combined with biological evaluation to assess tissue regeneration related to oral surgery aiming to improve implant treatment decision-making.