MEMS Gyroscope and the Ego-Motion Estimation Information Fusion for the Low-Cost Freehand Ultrasound Scanner
MEMS Gyroscope and the Ego-Motion Estimation Information Fusion for the Low-Cost Freehand Ultrasound Scanner
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DOI：
10.1109/bibm58861.2023.10385860
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发表时间：
2023-12
期刊：
影响因子：
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通讯作者：
Ayusha Abbas;Jeffrey Neasham;Syed Mohsen Naqvi
中科院分区：
文献类型：
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作者：
Ayusha Abbas;Jeffrey Neasham;Syed Mohsen Naqvi
本文介绍了一种低成本医学超声成像系统的融合算法的设计与实现。探头仅由一个单元件压电换能器组成，这使得重建几何正确的2-D超声图像具有挑战性。使用最少的硬件来降低制造成本。自我运动估计的概念用于估计探头的横向位置，而不是使用位置传感器。而廉价的微机电系统（MEMS）陀螺仪用于测量探针的取向。利用本文提出的融合算法对测头的方位和位置信息进行融合，得到测头的实时三维位置。这将使得能够从具有单个固定波束的非常简单的探头构建几何正确的2-D B模式超声图像，该探头手动扫描皮肤。分析先前收集的胎儿体内数据，并使用校正胎儿头部几何形状的融合算法重建2-D图像。
This paper presents the design and implementation of the fusion algorithm for a very low-cost medical ultrasound imaging system. The probe consists of only a single-element piezoelectric transducer which makes it challenging to reconstruct a geometrically correct 2-D ultrasound image. Minimal hardware has been used to reduce the manufacturing cost. Concepts of ego-motion estimation are used to estimate the lateral position of the probe rather than using a position sensor. Whereas an inexpensive microelectromechanical system (MEMS) gyroscope is used to measure the orientation of the probe. The orientation and position information are fused using the fusion algorithm proposed in this paper that gives the real-time 3-D position of the probe. This will enable a geometrically correct, 2-D, B-mode ultrasound image to be constructed from a very simple probe with a single fixed beam that is manually scanned across the skin. Previously collected in-vivo data of the fetus is analysed and 2-D image is reconstructed using the fusion algorithm that corrects the geometry of the fetus’s head.