This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. The image quality of large array 3D data sets is often limited by the 16-bit analog to digital converter (ADC), which is only capable of representing 65536 individual steps, which are adequate for a 256x256 slice, but for larger 3D data sets, this ADC creates a large source of error. Since the majority of the signal is located in the low-frequency data, the small signal of the high-frequency space is poorly represented, which results in a loss of high-frequency contrast. To minimize this error, we propose segmenting the acquisition of the k-space to allow the high-frequency space to be encoded with a higher gain, while the low-frequency space is encoded with a lower gain to prevent saturation. The goal of this experiment is to improve image contrast and boundaries by amplifying the high frequency signal, revealing finer details than the regularly acquired image without incurring any additional time delays.
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