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The main goal of this study is to use image registration techniques to combine functional and structural information from different MR-derived images (ADC and rCBV maps, contrast enhanced T1-weighted MR images) in patients diagnosed with brain gliomas. This is a particularly challenging registration problem due to the diverse image characteristics and to the inconsistency between structural and functional...
Image fusion is a process of combining two or more images into an image. It can extract features from source images, and provide more information than one image can. In this research, we propose a novel method for multimodality medical image fusion. Low spatial resolution limits the diagnostic potential of brain positron emission tomography (PET) imaging. As a possible remedy for this problem we propose...
Image fusion is the process by which two or more images are combined into a single image retaining the important features from each of the original images. It aims at the integration of complementary data to enhance the information apparent in the images as well as to increase the reliability of the interpretation. The successful fusion of images acquired from different modalities or instruments is...
Recent advances in imaging technologies, such as magnetic resonance imaging (MRI), positron emission tomography (PET) and diffusion tensor imaging (DTI) have accelerated brain research in many aspects. In order to better understand the synergy of the many processes involved in normal brain function, integrated modeling and analysis of MRI, PET, and DTI across subjects is highly desirable. The current...
Susceptibility-weighted magnetic resonance imaging is a powerful tool for high resolution imaging of the vasculature, aiding in the diagnosis of many pathologic conditions. The technique is especially beneficial at higher field strengths where traditional sequences that measure cerebral blood volume suffer from severe distortions, rendering them inapplicable at 7 T. However, conventional susceptibility-weighted...
Susceptibility-weighted magnetic resonance imaging is a powerful tool for high resolution imaging of the vasculature, aiding in the diagnosis of many pathologic conditions. The technique is especially beneficial at higher field strengths where traditional sequences that measure cerebral blood volume suffer from severe distortions, rendering them inapplicable at 7 T. However, conventional susceptibility-weighted...
Diffusion tensor magnetic resonance imaging (DTI) was used to study mouse brain development from early embryonic stage to adult. DTI provides necessary resolution and superb white matter and gray matter contrast in embryonic and neonatal brains for characterization of morphological changes during mouse brain development. A database and a digital atlas of developing mouse brains based on our DTI results...
Diffusion tensor magnetic resonance imaging (DTI) was used to study mouse brain development from early embryonic stage to adult. DTI provides necessary resolution and superb white matter and gray matter contrast in embryonic and neonatal brains for characterization of morphological changes during mouse brain development. A database and a digital atlas of developing mouse brains based on our DTI results...
Photon emission computed tomography (SPECT) images suffer from poor resolution and low contrast, which make it difficult for physicians to put an accurate interpretation for diagnosis, in particular, early diagnosis. Although the Wiener filter is a simple and powerful tool to restore degraded images, the requirement for a priori information limits its application. In this paper, we present a new 3D...
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