C-arm CT imaging with the extended line-ellipse-line trajectory: first implementation on a state-of-the-art robotic angiography system
| Autor: | Andreas Maier, Guenter Lauritsch, Zijia Guo, Patrick Kugler, Mohammad Islam, Frédéric Noo, Florian Vogt |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Computer science
Image quality Computed Tomography Angiography Ellipse Imaging phantom Data acquisition medicine Image Processing Computer-Assisted Radiology Nuclear Medicine and imaging Computer vision Radiological and Ultrasound Technology Pixel medicine.diagnostic_test business.industry Phantoms Imaging Detector Interventional radiology Robotics Line (geometry) Angiography Trajectory Artificial intelligence business Artifacts Head Algorithms |
| Zdroj: | Physics in medicine and biology. 65(18) |
| ISSN: | 1361-6560 |
| Popis: | Three-dimensional cone-beam imaging has become valuable in interventional radiology. Currently, this tool, referred to as C-arm CT, employs a circular short-scan for data acquisition, which limits the axial volume coverage and yields unavoidable cone-beam artifacts. To improve flexibility in axial coverage and image quality, there is a critical need for novel data acquisition geometries and related image reconstruction algorithms. For this purpose, we previously introduced the extended line-ellipse-line trajectory, which allows complete scanning of arbitrary volume lengths in the axial direction together with adjustable axial beam collimation, from narrow to wide depending on the targeted application. A first implementation of this trajectory on a state-of-the-art robotic angiography system is reported here. More specifically, an assessment of the quality of this first implementation is presented. The assessment is in terms of geometric fidelity and repeatability, complemented with a first visual inspection of how well the implementation enables imaging an anthropomorphic head phantom. The geometric fidelity analysis shows that the ideal trajectory is closely emulated, with only minor deviations that have no impact on data completeness and clinical practicality. Also, mean backprojection errors over short-term repetitions are shown to be below the detector pixel size at field-of-view center for most views, which indicates repeatability is satisfactory for clinical utilization. These repeatability observations are further supported by values of the Structural Similarity Index Metric above 94% for reconstructions of the FORBILD head phantom from computer-simulated data based on repeated data acquisition geometries. Last, the real data experiment with the anthropomorphic head phantom shows that the high contrast features of the phantom are well reconstructed without distortions as well as without breaks or other disturbing transition zones, which was not obvious given the complexity of the data acquisition geometry and the major variations in axial coverage that occur over the scan. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|