The endovascular treatment of intracranial aneurysms has become a standard therapeutic option over the past three decades. Its success is closely linked to the quality of angiographic imaging, which not only enables diagnosis and procedural planning, but also provides the real-time guidance necessary for safe device deployment. Optimal imaging in this context does not merely mean standard anterior-posterior (AP) or lateral projections, but rather the identification of individualized “working projections” that provide unobstructed visualization of the aneurysm sac, the neck, and the parent vessels. Traditionally, such projections were identified empirically, often requiring multiple 2D acquisitions in a trial-and-error fashion. The introduction of 3D rotational angiography and 3D digital subtraction angiography (3D-DSA) has dramatically improved this process, allowing operators to plan projections on volumetric datasets before attempting them in the angiography suite. However, a persistent limitation remains: the mechanical restrictions of C-arm systems. When an operator selects the theoretically optimal projection, it may not be physically achievable because of collision risks with the patient or the angiography table. This mismatch between imaging theory and clinical reality is a frequent bottleneck in neurointerventions. To address this gap, researchers at University Hospital Magdeburg have developed a prototype solution: automated calculation of optimized head positions. By adjusting the orientation of the patient’s head, the anatomical relationship between the intracranial vessels and the C-arm geometry can be modified, creating feasible working projections that would otherwise be unattainable. Work in progress. Currently under development and not for sale in the U.S. and in other countries. Its future availability cannot be ensured.
Automated Head Positioning to Optimize Biplane C-Arm Projections in Intracranial Aneurysm Treatment
by Prof Daniel Behme,MD; et al. (@uni-magdeburg.de, Germany).
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