Magnetic resonance imaging, computed tomographic, and positron emission tomographic studies of th... more Magnetic resonance imaging, computed tomographic, and positron emission tomographic studies of the brain provide complementary information, and many patients undergo more than one of these studies during the course of their diagnostic workup and treatment. A new technique for quantitative geometric correlation of such studies makes it possible to create integrated multimodality images by mapping features from one image onto an image obtained with another modality. The coordinate transformation between any pair of images is found by a semiautomatic algorithm for matching models of the patient's external surface as depicted in the two data sets. The resultant hybrid images, which combine complementary features of different studies, are often more useful for diagnosis and treatment planning than are the original single-modality images. The algorithm can also be used for spatial registration of baseline studies with follow-up images created with the same modality, which allows tracking of a lesion to detect subtle interval changes in size and shape. This technique can be applied to images acquired in routine clinical practice, since it is completely retrospective and does not necessitate special positioning or landmarking of the patient.
A time-to-digital-converter-based CMOS smart temperature sensor is proposed for high-accuracy por... more A time-to-digital-converter-based CMOS smart temperature sensor is proposed for high-accuracy portable applications. Conventional smart temperature sensors rely on an analog-to-digital converter, which consumes much chip area and operating power, for digital output code conversion. For the purpose of cost reduction and power saving, the proposed smart temperature sensor first generates a pulse with a width proportional to the measured temperature. Then, a cyclic time-to-digital converter (TDC) is utilized to convert the pulse into the corresponding digital code. The test chips, with extremely small area of 0.175 mm2, were fabricated by the TSMC CMOS 0.35 μm 2P4M process. Due to the excellent linearity of the digital output, the achieved measurement error is merely -0.6°C to +0.8°C without any curvature correction or dynamic offset-cancellation. The effective resolution is better than 0.15°C, and the power consumption is 10 μW.
Magnetic resonance imaging, computed tomographic, and positron emission tomographic studies of th... more Magnetic resonance imaging, computed tomographic, and positron emission tomographic studies of the brain provide complementary information, and many patients undergo more than one of these studies during the course of their diagnostic workup and treatment. A new technique for quantitative geometric correlation of such studies makes it possible to create integrated multimodality images by mapping features from one image onto an image obtained with another modality. The coordinate transformation between any pair of images is found by a semiautomatic algorithm for matching models of the patient's external surface as depicted in the two data sets. The resultant hybrid images, which combine complementary features of different studies, are often more useful for diagnosis and treatment planning than are the original single-modality images. The algorithm can also be used for spatial registration of baseline studies with follow-up images created with the same modality, which allows tracking of a lesion to detect subtle interval changes in size and shape. This technique can be applied to images acquired in routine clinical practice, since it is completely retrospective and does not necessitate special positioning or landmarking of the patient.
A time-to-digital-converter-based CMOS smart temperature sensor is proposed for high-accuracy por... more A time-to-digital-converter-based CMOS smart temperature sensor is proposed for high-accuracy portable applications. Conventional smart temperature sensors rely on an analog-to-digital converter, which consumes much chip area and operating power, for digital output code conversion. For the purpose of cost reduction and power saving, the proposed smart temperature sensor first generates a pulse with a width proportional to the measured temperature. Then, a cyclic time-to-digital converter (TDC) is utilized to convert the pulse into the corresponding digital code. The test chips, with extremely small area of 0.175 mm2, were fabricated by the TSMC CMOS 0.35 μm 2P4M process. Due to the excellent linearity of the digital output, the achieved measurement error is merely -0.6°C to +0.8°C without any curvature correction or dynamic offset-cancellation. The effective resolution is better than 0.15°C, and the power consumption is 10 μW.
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