摘要: The goal of this research, improved diagnosis of breast cancer by quantitative, high-resolution three-dimensional ultrasonic imaging, is being reached by a thorough program that synthesizes recent advances in tissue modeling, adap... 展开 The goal of this research, improved diagnosis of breast cancer by quantitative, high-resolution three-dimensional ultrasonic imaging, is being reached by a thorough program that synthesizes recent advances in tissue modeling, adaptive imaging, instrumentation, and signal processing. The goal of three-dimensional quantitative imaging is currently being achieved using novel time-domain inverse scattering methods invented by the Principal Investigator and coworkers. Nonlinear forms of these methods provide a robust approach to adaptive imaging that is based on compensation for three-dimensional scattering from actual breast tissue structure. A crucial aspect of the research is the use of realistic tissue models for ultrasonic propagation through breast tissue. Tissue modeling techniques employ tissue maps obtained from specimen cross sections as well as from newly available high-resolution volume photographic data. Calculated scattering from these tissue models will provide accurate characterization of ultrasonic propagation within breast tissue and will also provide realistic data for quantitative imaging algorithms. Synthesis of these breakthroughs will make possible new mammographic applications of ultrasound that will provide clinicians with previously unavailable quantitative information and image detail. The end result will be a lower-cost, more effective, and safer modality for diagnosis, detection, and monitoring of breast cancer. 收起