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Panorama Tomosynthesis from Head CBCT with Simulated Projection Geometry

Anusree P. S., Bikram Keshari Parida, Seong Yong Moon, Wonsang You

TL;DR

The study tackles the problem of generating diagnostic-quality panoramic X-rays from existing head CBCT data to avoid extra scans and radiation. It introduces a four-stage pipeline using automated jaw detection with tilt correction, elliptical focal troughs, and a simulated panoramic projection with dynamic rotation centers, followed by X-ray synthesis via Beer-Lambert attenuation and windowing. The method demonstrates robustness to metal artifacts and tooth absence, validated on 600 CBCT datasets from two scanners and compared against two baselines, with favorable LPIPS and SSIM results. This approach has practical clinical impact by enabling reliable panoramic views from CBCT data without requiring additional imaging or precise manual arch delineation.

Abstract

Cone Beam Computed Tomography (CBCT) and Panoramic X-rays are the most commonly used imaging modalities in dental health care. CBCT can produce three-dimensional views of a patient's head, providing clinicians with better diagnostic capability, whereas Panoramic X-ray can capture the entire maxillofacial region in a single image. If the CBCT is already available, it can be beneficial to synthesize a Panoramic X-ray, thereby avoiding an immediate additional scan and extra radiation exposure. Existing methods focus on delineating an approximate dental arch and creating orthogonal projections along this arch. However, no golden standard is available for such dental arch extractions, and this choice can affect the quality of synthesized X-rays. To avoid such issues, we propose a novel method for synthesizing Panoramic X-rays from diverse head CBCTs, employing a simulated projection geometry and dynamic rotation centers. Our method effectively synthesized panoramic views from CBCT, even for patients with missing or nonexistent teeth and in the presence of severe metal implants. Our results demonstrate that this method can generate high-quality panoramic images irrespective of the CBCT scanner geometry.

Panorama Tomosynthesis from Head CBCT with Simulated Projection Geometry

TL;DR

The study tackles the problem of generating diagnostic-quality panoramic X-rays from existing head CBCT data to avoid extra scans and radiation. It introduces a four-stage pipeline using automated jaw detection with tilt correction, elliptical focal troughs, and a simulated panoramic projection with dynamic rotation centers, followed by X-ray synthesis via Beer-Lambert attenuation and windowing. The method demonstrates robustness to metal artifacts and tooth absence, validated on 600 CBCT datasets from two scanners and compared against two baselines, with favorable LPIPS and SSIM results. This approach has practical clinical impact by enabling reliable panoramic views from CBCT data without requiring additional imaging or precise manual arch delineation.

Abstract

Cone Beam Computed Tomography (CBCT) and Panoramic X-rays are the most commonly used imaging modalities in dental health care. CBCT can produce three-dimensional views of a patient's head, providing clinicians with better diagnostic capability, whereas Panoramic X-ray can capture the entire maxillofacial region in a single image. If the CBCT is already available, it can be beneficial to synthesize a Panoramic X-ray, thereby avoiding an immediate additional scan and extra radiation exposure. Existing methods focus on delineating an approximate dental arch and creating orthogonal projections along this arch. However, no golden standard is available for such dental arch extractions, and this choice can affect the quality of synthesized X-rays. To avoid such issues, we propose a novel method for synthesizing Panoramic X-rays from diverse head CBCTs, employing a simulated projection geometry and dynamic rotation centers. Our method effectively synthesized panoramic views from CBCT, even for patients with missing or nonexistent teeth and in the presence of severe metal implants. Our results demonstrate that this method can generate high-quality panoramic images irrespective of the CBCT scanner geometry.
Paper Structure (13 sections, 9 equations, 6 figures, 1 table)

This paper contains 13 sections, 9 equations, 6 figures, 1 table.

Table of Contents

  1. Introduction
  2. Materials and Methods
  3. Jaw Detection and Tilt-Correction
  4. Focal Trough Estimation
  5. Panoramic Scan Simulation
  6. X-ray Synthesis
  7. Dataset
  8. Results
  9. Discussions
  10. CBCT Preprocessing
  11. Conventional v/s Synthesized X-rays
  12. Limitations
  13. Conclusion

Figures (6)

  • Figure 1: Complete workflow of the proposed algorithm: Coronal and Axial MIPs(Maximum Intensity Projection) images are generated to guide jaw detection. A. Perform Jaw contouring and horizontal tilt-correction. B. Define an elliptical focal trough region. C. Formulate dynamic rotation trajectory and Simulate pencil beams. D. Synthesized Panoramic X-ray.
  • Figure 2: (a) In the presence of heavy metal implants. (b) Normal jaw (c) Missing teeth
  • Figure 3: Qualitative comparison for Panorama synthesis results from 3 different approaches.
  • Figure 4: Maximal Intensity Projections and the histogram plots
  • Figure 5: Images with visible bone loss or severe bone damage
  • ...and 1 more figures