magnetic resonance imaging, where time shift occur naturally due to hemodynamic delays (Mørup et al., 2008). The major part of previous work on anechoic mixtures has considered under-determined (over-complete) source separation problems (m ≤n), where the …
with powerful optimisation methods, have been used in the field of image registration [1, 2]. The majority of these methods use only ... traffic management and recently in the blind source separation problem [5]. The goal of the algorithm is to minimise a scalar valued cost function J(t ... magnetic resonance images (MRI) and computed ...
Background Late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) using magnitude inversion recovery (IR) or phase sensitive inversion recovery (PSIR) has become clinical standard for assessment of myocardial infarction (MI). However, there is no clinical standard for quantification of MI even though multiple methods have been proposed. Simple thresholds have …
tion of magnetic resonance images. The stroke and autistic subjects had no additional neurological or psy-chiatric diagnoses. EEG data collection EEG data were recorded from 31 scalp electrodes, 29 placed at locations based on a modified International 10-20 system, one placed below the right eye (VEOG), and one placed at the left outer canthus ...
1. Introduction. Dynamic susceptibility-contrast perfusion magnetic resonance (MR) imaging is a commonly used method for the noninvasive assessment of cerebral blood perfusion because of the availability of MR imaging units and lack of exposure to ionizing radiation [1–10].After a bolus injection of intravascular contrast agent, the passage of bolus induces the susceptibility …
A novel blind separation method in magnetic resonance images. Jianbin Gao School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China ; Key Laboratory of Integrated Electronic System, Ministry of Education, Chengdu 611731, China ; Sichuan Academy of Medical Sciences & Sichuan Provincial ...
In this paper, we develop a nov el blind source separation (BSS) method for nonnegative and correlated data, particularly for the nearly degenerate data. The motivation lies in nuclear magnetic ...
We study how additive and convolutive noise can be reduced or even eliminated in the blind source separation (BSS) problem. Particular attention is paid to cases in which the number of sensors is larger than the number of sources. We propose various methods and associated adaptive learning algorithms for such an extended BSS problem.
Magnetic beads with a diameter of 4.5 μm coated with anti-CD19 mAb (Dynabeads, Dynal) were used and self-assembled as described above. Cell suspensions of mixtures of T (Jurkat cell line) and B (Raji cell line) lymphoid cells (see SI Text) were …
A modified method for locating parapharyngeal space neoplasms on magnetic resonance images: implications for differential diagnosis Xue-Wen Liu*, Ling Wang*, Hui Li, Rong Zhang, Zhi-Jun Geng, De-Ling Wang and Chuan-Miao Xie Abstract The parapharyngeal space (PPS) is an inverted pyramid-shaped deep space in the head and neck
Independent component analysis, a data-driven analysis method, has found significant applications in task-based as well as resting state fMRI studies. There are numbers of independent component analysis algorithms available, but only a few of them have been used frequently so far for fMRI images. Wi …
Due to its capability for high-throughput screening 1 H nuclear magnetic resonance (NMR) spectroscopy is commonly used for metabolite research. The key problem in 1 H NMR spectroscopy of multicomponent mixtures is overlapping of component signals and that is increasing with the number of components, their complexity and structural similarity. It makes metabolic profiling, that …
The proton (hydrogen nucleus) magnetic resonance (MR) frequency shift method can be used to map relative temperature changes. However, spatiotemporal variations in …
A Novel Blind Separation Method in Magnetic Resonance Images . By Jianbin Gao, Qi Xia, Lixue Yin, Ji Zhou, Li Du and Yunfeng Fan. Cite . BibTex; Full citation; Publisher: Hindawi Limited. Year: 2014. DOI identifier: 10.1155/2014/726712. OAI identifier: Provided by: MUCC (Crossref ...
Nuzillard D, Nuzillard J-M: Application of blind source separation to 1-D and 2-D nuclear magnetic resonance spectroscopy. IEEE Signal Processing Letters 1998,5(8):209-211. 10.1109/97.704974. Article MATH Google Scholar 21. Park H, Van Huffel S, Elden L: Fast algorithms for exponential data modeling.
functional magnetic resonance imaging (fMRI) experiments [18]. ... tolerant cardiac pulse measurements from video images based on blind source separation. ... this method can be easily extended ...
Shoulder magnetic resonance imaging planes. A) Axial proton density-weighted fat-suppressed as well as (B) coronal oblique and (C) sagittal oblique T1-weighted magnetic resonance images of the shoulder show the typical positioning of the glenohumeral joint during the exam.
Mapping brain activity following administration of a nicotinic acetylcholine receptor agonist, ABY-594, using functional magnetic resonance imaging …
Motivated by applications in nuclear magnetic resonance (NMR) spectroscopy, we introduce a novel blind source separation (BSS) approach to treat nonnegative and correlated data. We consider the (ov...
invasive method of assessing blood flow within organs is hence constantly being sought (A Toga et al, 2001). 2. MATERIALS AND METHODS Neuroimaing can be carried out by various methods such as Electroencephalogram (EEG), Functional Magnetic Resonance Imaging …
In the absence of an established method to parcellate individual amygdala nuclei on magnetic resonance images, we used a clustering method as a data-driven approach to identify amygdala regions with unique connectivity profiles. Note this algorithm is blind to the spatial position of cortical targets and therefore blind to our core hypotheses.
A novel global search algorithm based method is proposed to separate MR images blindly in this paper. The key point of the method is the formulation of the new matrix which forms a generalized permutation of the original mixing matrix. Since the lowest entropy is closely associated with the smooth degree of source images, blind image separation can be formulated to an entropy minimization ...
Perfusion magnetic resonance brain imaging induces temporal signal changes on brain tissues, manifesting distinct blood-supply patterns for the profound analysis of cerebral hemodynamics. We employed independent factor analysis to blindly separate such dynamic images into different maps, that is, artery, gray matter, white matter, vein and sinus, and choroid plexus, in conjunction with ...
Abstract. In this chapter, ensemble learning is applied to the problem of blind source separation and deconvolution of images. It is assumed that the observed images were constructed by mixing a set of images (consisting of independent, identically distributed pixels), convolving the mixtures with unknown blurring filters and then adding Gaussian noise.
The manual analysis of brain tumor on magnetic resonance (MR) images is time-consuming and subjective. Thus, to avoid human errors in brain tumor diagnosis, this paper presents an automatic and accurate computer-aided diagnosis (CAD) system based on ensemble classifier for the characterization of brain tumors on MR images as benign or malignant. Brain tumor tissue was …
Two dimensional canonical correlation analysis (2DCCA) is a data driven method that has been used to preserve the local spatial structure of functional magnetic resonance (fMR) images and to detect brain activation patterns. 2DCCA finds pairs of left and right linear transforms by directly operating on two dimensional data (i.e., image data) such that the correlation between their projections ...
PURPOSE: To develop and assess motion correction techniques for high-resolution pediatric abdominal volumetric magnetic resonance images acquired free-breathing with high scan efficiency. MATERIALS AND METHODS: First, variable-density sampling and radial-like phase-encode ordering were incorporated into the 3D Cartesian acquisition.
The method achieves 83% accuracy in the identification of resting state networks. Introduction: In functional magnetic resonance imaging (fMRI), a series of images of the brain are acquired at short intervals (1–4 s) exploiting the dephasing effect that paramagnetic deoxyhaemoglobin in blood has on the MR signal. Activaton of groups of ...
The patients underwent preoperative and follow-up neurological assessment using the American Spinal Injury Association Impairment Scale (AIS), electrophysiological monitoring, and magnetic resonance imaging (MRI). The mean follow-up period was 10.4 months after injury.
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نشانی: شماره 1688، جاده شرقی گاوک، منطقه جدید پودونگ، شانگهای، چین.
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