研究目的
To develop a three-dimensional (3D) holographic electromagnetic induction imaging (HEI) method for accurately and effectively detecting inclusions embedded in a biological object, specifically for detecting small stroke.
研究成果
The 3D HEI method can produce 3D brain images and detect inclusions with the correct size, shape, and location information, even when two inclusions are located at the same XY plane but in different YZ planes. This method has the potential to develop a useful imaging tool for the diagnosis of neurological diseases and injuries.
研究不足
The study involves only ideal models (noise free), which may affect the effectiveness of the proposed method in practical scenarios where noise is present. The image quality could be degraded due to noise acquired from practical measurement instruments.
1：Experimental Design and Method Selection:
The study employs a numerical system including a realistic head phantom, a 16-element excitation sensor array, a 16-element receiving sensor array, and an image processing model to evaluate the effectiveness of the proposed 3D HEI method.
2：Sample Selection and Data Sources:
A realistic 3D head phantom is used to simulate infarcts that mimic a stroke.
3：List of Experimental Equipment and Materials:
The system consists of a cylindrical tank, a biological object, a radio frequency (RF) generator, excitation and receiving sensors, and a host computer with HEI program.
4：Experimental Procedures and Operational Workflow:
The receiving sensor array plane is moved from axial z = -50 mm to z = 50 mm in steps of 1 mm to collect 3D image data.
5：Data Analysis Methods:
The scattering signals from the object are measured and processed to reconstruct 3D images.
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