High-resolution seismic imaging enables the reconstruction of ascending paths of magma and fluids, shallow molten accumulation and flank collapse areas, all crucial information for developing an efficient eruption forecasting strategy. Here, the Marching Cubes algorithm (MC - generally applied to medical visualization and three-dimensional (3D) modeling) is applied to 16 years of earthquake location data at Mt. Etna (Italy). The algorithm defines three-dimensional seismic clusters that take into account seismic location uncertainties and are embedded in a novel volcano-oriented Geographyc Information Systems (VolGIS) offering an interpretational environment comprising tomographic images and alternative geophysical models. The results show that a volume of very-low-seismicity is embedded in a high-velocity body, and acts as a zone of transition between transient magmatic events (west) and eastern deep seismicity related to the sliding eastern flank. The eastern cluster represents the 3D seismic signature of a deep (2–8 km below sea level) instability, affecting the portion of the eastern flank nearest to the feeding systems. This instability is likely caused by a combination of gravitational spreading and magmatic intrusions.

高分辨率地震成像能够重建岩浆和流体的上升路径，浅层熔融物堆积和侧面塌陷区，这些都是开发有效喷发预测策略的关键信息。在这里，将Marching Cubes算法（MC-通常应用于医学可视化和三维（3D）建模）应用于16年山峰地震定位数据。埃特纳火山（意大利）。该算法定义了三维地震群，该群考虑了地震位置的不确定性，并被嵌入到新颖的火山导向地理信息系统（VolGIS）中，该系统提供了包括断层图像和替代地球物理模型的解释环境。结果表明，在高速车体中嵌入了非常低的地震力，并作为瞬变的岩浆事件（西部）和与滑动的东翼有关的东部深地震活动之间的过渡带。东部星团代表了深度（海平面以下2-8公里）不稳定的3D地震信号，影响了最靠近馈线系统的东部侧面部分。这种不稳定性很可能是由于引力扩展和岩浆侵入共同造成的。