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A New Method Research Of Intracranial Neterogeny Detection And Its Imaging Application

Posted on:2020-02-24Degree:MasterType:Thesis
Country:ChinaCandidate:D D WangFull Text:PDF
GTID:2392330623963705Subject:Electronics and Communications Engineering
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At present,the US and other developed countries are competing to carry out basic research related to brain imaging for the increasing diagnosis of sudden stroke.One of their research focuses is how to rapidly diagnose the heterogeneous areas of deep intracranial subwavelength(relative to the transmission window wavelength of transcranial microwave beam).Microwave detection technology of intracranial neterogeny has become a research hotspot in the field of Bioelectromagnetics and imaging medicine in recent years due to its unique portability,economy,safety,and timeliness of on-site diagnostic response(compared with X-ray,CT,MRI or PET imaging)and good transmission of skull(compared with ultrasound imaging).Physically,the weak scattering of intracranial heterogeneous regions and the serious stray coupling with intracranial tissues make the contradiction between high performance microwave imaging(high precision,high contrast and low artifact rate)and low complexity design increasingly prominent,which makes it the main obstacle to the further development and application of this technology.In view of the above technical obstacles,this paper mainly focuses on the dissemination neterogeny scattering signals and preprocessing algorithms for artifact removal,image processing algorithm of intracranial neterogeny detection and the super-resolution imaging of transcranial vortex mircowave beam(TVMB).We optimized four preprocessing algorithms for artifact removal and the confocal imaging algorithm based on radar imaging,revealed the noise suppression principle,found the strong scattering effect,proposed the non-coplanar array structure of the vortex electromagnetic wave transceiver system and realized multi-targets imaging.On this basis,a self-developed microwave detection device is used to preliminarily explore and verify the above work.The above work and achievements have laid a good foundation for further research in this field.
Keywords/Search Tags:preprocessing algorithms for artifact removal, confocal imaging algorithm, TVMB, super-resolution imaging, strong scattering effect, energy locally enhanced field, multi-targets imaging
PDF Full Text Request
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