Hsin-Wu Tseng

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Maintaining or even improving image quality while lowering patient dose is always the desire in clinical computed tomography (CT) imaging. Iterative reconstruction (IR) algorithms have been designed to allow for a reduced dose while maintaining or even improving an image. However, we have previously shown that the dose-saving capabilities allowed with IR(More)
The use of a channelization mechanism on model observers not only makes mimicking human visual behavior possible, but also reduces the amount of image data needed to estimate the model observer parameters. The channelized Hotelling observer (CHO) and channelized scanning linear observer (CSLO) have recently been used to assess CT image quality for detection(More)
PURPOSE A number of different techniques have been developed to reduce radiation dose in x-ray computed tomography (CT) imaging. In this paper, the authors will compare task-based measures of image quality of CT images reconstructed by two algorithms: conventional filtered back projection (FBP), and a new iterative reconstruction algorithm (IR). METHODS(More)
Noninvasive imaging of physiologic currents in the body is limited by poor spatial resolution due to the ambiguous conductivity distribution between the current sources and recording electrodes. Acoustoelectric imaging (AEI), based on the interaction between pressure and resistivity, provides higher spatial resolution. Although we have demonstrated AEI of(More)
Acoustoelectric imaging (AEI) is based on the interaction between a pressure wave and tissue resistivity to map electrical current at high spatial resolution. This approach overcomes limitations with conventional bioelectrical imaging, which typically suffers from poor resolution due to the ambiguous conductivity distribution between the current sources and(More)
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