Digital radiographs play very important role in medical imaging. However, the image quality has weakness with lower contrast and some noises owing to various reasons. So it is necessary to enhance these images to faci...
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Most volume renderings in medical application today employ one-dimensional transfer functions, which assign color and opacity to samples solely on their intensity value. The method is not effective when it is used on ...
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Multi-scale morphological top-hat transformation has been widespread used in pattern recognition, but the selection of the scale is still very subjective and empirical. To automate the scale selection, an automatic sc...
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signalprocessing of Electroencephalography (EEG) plays an important role in brain-computer-interface (BCI) system. Therefore, it is a key in selection of suitable methods. This paper proposed a new method by combing ...
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Human vision contrast resolution (HVCR) is lower and varies exponentially with background gray in scotopic condition. HVCR compensation implies that a small gray difference of two adjacent pixels in an image is made J...
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The images taken from low-light level condition can not be resolved by human vision. We called the method, that these images are transformed into the visible images by human vision, lower level image mining (LLIM). We...
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The cardiovascular diseases are threatening the safety of human life, and have become the NO.1 killer among all diseases. 70% of the lethal cardiovascular diseases are caused by vulnerable atherosclerosis plaque ruptu...
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Eye location is the imported reference of face normalization in face recognition system. This paper describes a novel method to improve the eye location accuracy in the face image, which detected eyes by combining Haa...
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Define faces temporal width, bizygomatic breadth, mandibular breadth, maxilla-chin breadth, physiognomic facial length as the key characteristic parameters of face classification, which based on anthropometry, image f...
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Functional magnetic resonance imaging (fMRI) is an increasingly used method for studying human brain activity changes in vivo. For analysing data which are lack of expected response and brain regions of interest, we h...
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ISBN:
(纸本)9783642038815
Functional magnetic resonance imaging (fMRI) is an increasingly used method for studying human brain activity changes in vivo. For analysing data which are lack of expected response and brain regions of interest, we have previously proposed a completely data-driven method in subject level, which sought for spatially connected voxels with their temporal maxima occurring within a detected time window, in the whole brain. As subject number grows, the interpretation of various numbers of components obtained, depending on the temporal peaks and their spatial associations, as a whole became extremely difficult. Here, we propose a group-level analysis method, which utilises the connected components from all subjects and the K-means algorithm, and returns the period during which there is a significant response and an activation map. For validation, four data sets acquired in a single-event visual experiment were used and the associated time window and brain regions to the experimental paradigm were detected.
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