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Independent component analysis (ICA) has proven useful for the analysis of functional magnetic resonance imaging (fMRI) data. In this paper, we compare the performance of three ICA algorithms and show the importance of taking sample correlation information into account. The three ICA algorithms are Infomax, the most widely used algorithm for fMRI analysis, entropy bound minimization (EBM) that adapts...
Estimation of the order of functional magnetic resonance imaging (fMRI) data is a crucial step in data-driven methods assuming a multivariate linear model. Use of information theoretic criteria for model order detection was proven useful but the sample dependence in fMRI data limits this usefulness. In this paper, we propose an iterative procedure that jointly estimates the downsampling depth and...
We develop 3D automatic feature construction system to efficiently quantify different types of the lower limb alignment and the hip fracture. This system has the potential to provide useful information regarding the risk of knee and hip osteoarthritis, and should be considered an alternative method for the measurement of the lower limb alignment and the hip fracture. Our newly defined parameters (hip-knee-ankle,...
Subtle changes in brain tissue that reflect the pathological processes of disorders such as mild cognitive impairment (MCI) are much more difficult to observe on a patient's magnetic resonance imaging (MRI) scan than those obvious abnormalities such as large strokes or tumors. Thus, it is necessary to develop an automated computer-aided diagnosis (CAD) system which will be more efficient and accurate...
In this study, we present a systematic method for early detection of mild cognitive impairment (MCI) from magnetic resonance images (MRI) using image differences and clinical features. Early detection of MCI has pivotal importance to delay or prevent the onset of Alzheimer's disease (AD). Subjects were selected from the Open Access Series of Imaging Studies (OASIS)database and included 89 MCI subjects...
Achilles tendon injuries are common clinical problems for athletes, especially in runners. Several studies indicate that Achilles tendinopathy is accompanied with neovascularization or hypervascularity; thus, assessments of vascularity are important when assessing inflammation changes in tendon injuries. Photoacoustic imaging, taking the advantages of good ultrasonic resolution and high optical absorption...
In this study, we propose a radial-modulation chirp imaging method for contrast detection with high frequency ultrasound. This method detects microbubbles by extracting and then selectively compressing the radial-modulated chirp component of the response. The amplitude of the imaging chirp signal will be radial modulated at the resonance frequency due to the high-amplitude oscillation of the microbubble...
Focused ultrasound thermal therapy relies on temperature monitoring for treatment guidance and assurance of targeting and dose control; a potential approach to achieve these is ultrasonic temperature estimation. The approach used currently involves the detection of echo time shifts based on cross-correlation processing from the segmented radio-frequency (RF) data. In this study, we propose a novel...
Interpolation plays an important role in static images and video sequences analysis. High resolution provides important information about still images or video sequences. In this paper, a novel method that combines the wavelet transform and neural network is proposed for image interpolation. Haar wavelet transform and multilayers perceptron are applied. In order to evaluate the image quality, PSNR...
Chronic degenerative Achilles tendinopathy (tendonitis) is a common clinical problem and its aetiology remains in part unexplained. For the treatment of Achilles tendinopathy, there were a lot of modalities including medication, physical agents, physiotherapy, and exercise. However, how to evaluate the effects of current therapeutic modalities and study the therapeutic mechanism in vivo remains a...
Fractal Brownian motion (fBm) has been proven in a viewpoint of irregularity characterization for quantifying the structure of the tissue images. Breast masses were selected as the target sample because breast-associated diseases have become prevalent in Taiwan. In this paper, the ability of fractal dimension in fractal interpolation schemes is investigated and compared with the traditional interpolation...
Fractal Brownian motion (fBm) has been proven in a viewpoint of irregularity characterization for quantifying the structure of the tissue images. Breast masses were selected as the target sample because breast-associated diseases have become prevalent in Taiwan. In this paper, the ability of fractal dimension in fractal interpolation schemes is investigated and compared with the traditional interpolation...
An in vivo backward-mode photoacoustic microscope was recently developed that employs a high frequency, broadband, large numerical aperture (NA) focused ultrasonic transducer to provide high resolution and high sensitivity. However, out of the focus region, the limited depth of focus deteriorated the image quality significantly. Based on a virtual-detector concept, we devised and implemented a synthetic...
Because of the overwhelming scattering of light in biological tissues, the spatial resolution and imaging depth of conventional fluorescent imaging is unsatisfactory. Therefore, we present a dual modality imaging technique by combining fluorescence imaging with high-resolution noninvasive photoacoustic tomography (PAT) for the study of an animal tumor model. PAT provides high-resolution structural...
This paper proposes a low complexity near-lossless image compression method and its ASIC design for the wireless endoscopy system. Assuring high image quality (PSNR larger than 46.37dB and every pixel error is less than 2), the proposed method can provide lower compression rate (3.5bits/pixel) and lower complexity than any conventional interpolation-first methods and other existing similar compression-first...
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