Automatic measurement system for the diameter of the inferior vena cava using deep neural network

Abstract

Compared to MRI and CT, ultrasound can visualize the internal structures of the body noninvasively and in real time, regardless of the location. However, ultrasound diagnosis has the problem that the acquisition of diagnostic images is dependent on the skill of the operator. It is extremely difficult for non-skilled operators to distinguish the inferior vena cava from the abdominal aorta, and the measurement of the inner diameter in the same cross-section is prone to variations due to operator habits, even among skilled operators. Based on the above, this paper proposes a system for measuring time-series changes in the internal diameter of the inferior vena cava.