Deep learning enables time-efficient soft tissue enhancement in CBCT: Proof-of-concept study for dentomaxillofacial applications
Cone beam computed tomography (CBCT) is a particularly utilized modality in dental imaging [1], orthopedic studies [2], and in the dentomaxillofacial area (such as the jaw and sinuses) [3]. In CBCT, a cone-shaped radiation beam is measured with a flat-panel X-ray detector for direct 3D image reconstruction without the need for patient table movement. Compared to CT, CBCT is mechanically simpler and less expensive, yet it offers a high spatial resolution. However, the cone-shaped X-ray beam, slow rotation, and limited detector area, lead to artifacts and low temporal resolution [1,4].
Source: Physica Medica: European Journal of Medical Physics - Category: General Medicine Authors: Sampo Ylisiurua, Annina Sipola, Miika T. Nieminen, Mikael A.K. Brix Source Type: research
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