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2014 Vol. 33, No. 5
Published: 2014-10-20
513
Image Edge Detection Based on Spike Coding of Multilayer Neuronal Population with Inhibitory Synapse
Image Edge Detection Based on Spike Coding of Multilayer Neuronal Population with Inhibitory Synapse[J]. journal1, 2014,33(5): 513-524')" href="#">
LIAO Jin Wen FAN Ying Le
*
WU Wei Gao Yun Yuan LI Yi
DOI: 10.3969/j.issn.0258-8021.2014.05.01
Details of objects’ contour can be acquired from the edge detection, which are considered important for image analysis and understanding correctly. In this paper, a new method for image edge detection was proposed based on vision mechanism. Multilayer neuronal population with inhibitory synapse was constructed to receive the stimuli from an awaited image, and the process of pulse spiking from connected neurons in the 7×7 window of visual receptive field was analyzed, spiking times were recorded for rank coding.Considering the effect of lateral inhibition between neurons, images with the mechanism of selective attention were enhanced; then LogGabor filter was adopted to stimulate the orientation selectivity of visual system for obtaining the filtering results of 8 orientations, the edge map could be acquired through integration processing of the output neuron layer and gray mapping to the range between 0 and 255. Taken the colony images with abundant edge details for processing, the mean value of ROC index for the results was 0698 4, better than that of PCNN, which was 0659 3; the results of the new method were better in the view of consistency in terms of the mean square deviation. Additionally, the new method also owning certain advantages in terms of information entropy, indicating the method proposed could extract edge information effectively and reflect image details in more levels. The method of edge detection proposed in the paper provides a new and effective idea for the image processing based on visual physiological characteristics.
2014 Vol. 33 (5): 513-524 [
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272
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525
Automatic Brain Extraction Method from Cerebral MRI Image Based on GraphCuts
YANG Su Hua
*
CHEN Qiong LUO Yan Fen
DOI: 10.3969/j.issn.0258-8021.2014.05.02
The brain extraction from cerebral T1 weighted MRI volume is an important preprocedure for neuroimage analysis. To improve the precision of extraction, an automatic brain extraction method based on a graphcuts model was proposed. The method uses the brain extraction tool (BET) to obtain the region of interest (ROI) and only performs graphcuts model in the ROI. A velocity factor was added in the graphcuts model to eliminate the boundary leakage and local convergence. A slice by slice contour initial method was also used to initialize the 3D brain boundary. The method was applied to 18 cerebral MRI volumes provided by the Internet Brain Segmentation Repository (IBSR). In testing, the mean Dice similarity coefficient was 095 and the results obtained by our method were very similar to those produced by manual segmentation and achieved the best results on many of the evaluation metrics (false positives rate 32% and Hausdorff distance 96) for the IBSR data in comparison of our method with existing brain extraction methods including brain extraction tool (BET), brain surface extraction (BSE), watershed algorithm (WAT), hybrid watershed algorithm (HWAT), graphcuts (GCUT) and robust brain extraction (ROBEX). The experiment showed the proposed method was precise and robust.
2014 Vol. 33 (5): 525-531 [
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316
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532
A 3D MATMI Reconstruction Algorithm Based on Characteristics of Acoustic Transducer#br#
MA Ren ZHANG Shun Qi YIN Tao LIU Zhi Peng
#*
DOI: 10.3969/j.issn.0258-8021.2014.05.03
Aim to apply MATMI reconstruction algorithm to general sound detection systems, the influence of acoustic transducers on MATMI image reconstruction were investigated in this paper. The acoustic intensity measurement system was used to measure the acoustic field, and then the data was used to build the acoustic transducer model by a interpolation method. The model was applied to forward and inverse problems of MATMI based on Green’s function and discretization method. In order to verify the algorithm, a simulation was carried out using sphere scan schema and cylinder scan schema. A 3D phantom model was set up based on SL model in CT, with the help of finite element analysis method and the distribution of the transient electromagnetic field and the eddy current were calculated. Simulation and reconstruction results through numerical calculation using Matlab were obtained. Results show that the algorithm can reconstruct the distribution of acoustic source vector; the correlation coefficients are 9849% and 9496%, which can be applied to the general transducer. This study provided a basis for the experimental study of MATMI and a precise reconstruction of conductivity distribution.
2014 Vol. 33 (5): 532-538 [
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257
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539
Detection and Assessment of Body Balance Function Based on Static Posturography
HAN Jun LUO Zhi Zeng
*
ZHANG Qi Zhong
DOI: 10.3969/j.issn.0258-8021.2014.05.04
In this paper, a new method is proposed aiming to effectively detect and assess the balance dysfunction of elderly and hemiplegic patients. First, five indicators were selected under conditions of eye open or eye closed for quantitative detection of the balance function, including track length of center of gravity, track length per unit area, kurtosis, distribution ratio of center of gravity between left and right, distribution ratio of center of gravity between front and rear. Then the indicators were fused together using principal component analysis (PCA). Next, weights of principal component factors were determined by their variance contribution rate. Finally, the balance function assessment of subjects was completed by computing a comprehensive evaluation based on PCA. Thirty subjects with balance dysfunction (case group) and thirty sex-, age-, height and weightmatched healthy subjects (control group) were recruited in the experiment. Their balance function were detected and assessed twice within two weeks using an independently research system. The statistical value of comprehensive evaluation index is 4.067±0.540
(n=30,mean±SD) in the control group, while it is 2.054±0.685 (n=30,mean±SD) in the case group. Results show that the method for balance function detection and assessment is reasonable and practical.
2014 Vol. 33 (5): 539-545 [
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678
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546
Assessment of Facial Growth for Children Based on ThreeDimensional Face Database
LIN Sheng Liang JI Chai XU Lin ZHAO Zheng Yan
*
DOI: 10.3969/j.issn.0258-8021.2014.05.05
It is acepted that people with inherited diseases, such as WS and DS, have features of facial abnormalities. This work was undertaken to establish 3D face database from birth to 18 years old and the facial growth norms of children of the Chinese Han population using 3D stereophotogrammetric devices. In this study, 5600 neutral expression subjects were collected including 2803 males and 2797 females. To build 3D face database, original 3D data were preprocessed, and the input faces were required to be well aligned to a reference face. In the first step, the face region was separated from 3D data based on the theory of the largest connectivity. Secondly, the coarse alignment was achieved by approximating a 3D affine transformation between the input face and the reference face. At last, the ICP algorithm was used to align the face more precisely. The database was applied to access the children facial growth by measuring 18 craniofacial indices of 55 DS faces and 30 WS faces, which came from Zhejiang province. Results show that the distribution of 763% intercanthal breadth is above the 90th percentile, the distribution of 618% nose length is under the 10th percentile, the distribution of 872% ear length is under the 10th percentile,and the distribution of 89% upper face depth is under the 10th percentile. The CVI is 1630~2117 in DS. For WS, the distribution of 50% nose breadth is above the 75th percentile, the distribution of 667% mouth breadth is above the 75th percentile, the distribution of 633% bitragal breadth is under the 25th percentile and CVI is 1714~2365. These results illustrate that the assessment system can reflect the feature of the special face, therefore the 3D face database provides a dependable 3D facial data for the research of children face. The research of facial growth assessment using the method of anthropometry has a wide range of applications, including children growth, evaluation of the abnormal face.
2014 Vol. 33 (5): 546-555 [
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358
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556
Brain Functional Network of Depression during Facial Emotional Processing#br#
GAO Yun CAO Dan LI Ying Jie
#*
DOI: 10.3969/j.issn.0258-8021.2014.05.06
The present study investigated whether functional brain networks are abnormally organized in the depression under the emotional stimuli. We applied phase synchronization to construct the connectivity and global and local efficiency to explore the smallworld topology of the brain networks. Sixteen depressed patients and fourteen healthy subjects participated in the study, with the continuous scalp electroencephalography (EEG) collected. We constructed the phase synchronization matrices using the EEG in low gamma (30~50 Hz) and high gamma (50~80 Hz) bands. We found the global phase synchronization values of depressed group are significantly higher than healthy controls. When costs were between 025 and 050 in low gamma band and between 025 and 055 in high gamma band, global and local efficiency of brain networks were between random graph and lattice, indicating the smallworld networks. When costefficiency reached maximum (cost equaled to 03) in high gamma band, global efficiency had significant differences between groups, without findings on local efficiency. When cost equaled to 05, abnormal activities were found in the left temporalparietal and occipital region. Results reflected the abnormal network features in depression under emotional processing by the measures of global and local efficiency and provided a reference for researches on neural networks in depression.
2014 Vol. 33 (5): 556-563 [
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444
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564
A Diagnosis Model for Amnestic Mild Cognitive Impairment Based on Structural Network Characteristics of the Brain#br#
YUN Rui Juan
1
WU Shui Cai
1*
LIN Chung Chin
2,3
HUANG Chu Chung
4
LIN Ching Po
4
WANG Pei Ning
5
CHAO Y
DOI: 10.3969/j.issn.0258.8021-2014.05.07
The aim of this work is to select topological characteristics of structural network which were higher correlated with cognitive performance and estimate the classification models to classify normal aging and amenstic mild cognitive impairment (aMCI) patients. In two groups of diffusion tensor image (DTI) dataset, a group has 52 normal aging subjects and another group has 39 aMCI patients. We employed the diffusion tensor image to construct the structural network in each group and used the method of graph theory to extract the characteristics of structural network. We selected significant features by the correlation analysis between the characteristics of brain network and subject’s
minimental state examination (MMSE) score. These features were used to establish five kinds of classification model for evaluating the classification efficiency of the models. For normal aging dataset and aMCI dataset, 18 characteristics of the structural network were selected as features, which are significantly associated with cognitive ability and locate in 9 brain areas according to the automated anatomical labeling (AAL) template in each group. However, the features and the related regions are different for the two datasets. Among 5 algorithms, sequential minimal optimization learning algorithm for support vector machine regression model was more accurate due to the higher specificity of 8846%, the higher sensitivity of 8305% and the higher accuracy of 8571%. Brain structural network metrics which were correlated greatly with the cognitive performance could be taken as biological marker pointers to establish the classification model to classify normal aging subjects and aMCI patients. Furthermore, these structural network features can provide the information of connection changes between corresponding brain regions.
2014 Vol. 33 (5): 564-573 [
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320
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574
Effects of the Extracellular Electrical Stimulation on the Excitability of Optic Nerve Fibers by Mathematical Modeling
GUO Hong
1
SUI Xiao Hong
1
LI Meng Hui
2
LI Li Ming
1*
DOI: 10.3969/j.issn.0258-8021.2014.05.08
A visual prosthesis based on penetrating electrode stimulation within the optic nerve (ON) is a potential way to restore partial functional vision for the blind patients. In order to provide theoretical basis for electrical stimulation strategies and the electrode design of abovementioned visual prosthesis, a finiteelement model of the electric field generated by an actual penetrating microelectrode was constructed in COMSOL, and then coupled to the multicompartment cable model of the optic nerve fiber implemented using NEURON. With this method, we evaluated the effects of stimulating electrode location, pulse duration of electrical stimulus and electrode structure on the excitation thresholds of optic nerve fibers. Simulation results showed that the impact of the former two factors on the fiber thresholds agreed with that reported in previous animal and simulation studies, which demonstrated the effectiveness of our models. The following suggestions about the design of stimulus pulse duration and electrode structure of the penetrative ON prosthesis were also obtained according to our simulation work. Stimulus with narrow pulse width helps reduce energy consumption. The electrode taper should be designed as small as possible to lower the threshold but should not disturb the electrode insertion. Decreasing the electrode exposed area helps lower the current threshold and therefore reduces the power consumption, but it also increases the charge density threshold, which eases to result in electrochemical damage to ON. Thus, the electrode exposed area should be designed appropriately to avoid excessive power consumption and tissue damage. Changing the coating thickness of the electrode has no significant effect on the fiber threshold, but a electrode with thin coating is recommended to decrease the insertion difficulty. These results are also of valuable reference to the electrical stimulation of other nerve fibers of human body.
2014 Vol. 33 (5): 574-584 [
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585
Preclinical Study of Anticoagulation Regimens in Animals after Implantation of CHVAD
XU Chuang Ye
1,2
LIU Xiu Jian
1,2
WU Guang Hui
1,2
HOU Xiao Tong
1
LI Hai Yang
1
YANG Peng
3
LIN Chang Yan
1,2#*
DOI: 10.3969/j.issn.0258-8021.2014.05.09
Sheep models are often used to verify the blood compatibility, biological safety and reliability of VADs as well as the impact on physiological conditions of animals. Effective and safe anticoagulation regimens are strongly needed to reduce risks of thrombosis and bleeding. This study is to evaluate the effect of anticoagulation for animals after implantation of CHVAD with heparin and warfarin, aiming to offer anticoagulation data for longterm survival experiments and clinical applications. CHVAD models were established in six healthy sheep by constructing blood bypass of left ventricular →VAD →descending aorta. Heparin of 250 U/kg was injected through jugular vein during operation. Continuous heparin infusion was used in the prior four days after implantation to keep ACT and aPTT values as 15 to 20 times as the baseline. From the third day, proper dosage of warfarin was used orally to make INR in the target range of 12~20. Bleeding complications were closely monitored through the experiment. At the termination point, we examined whether there was thrombosis in the blood pump, grafts and anastomotic stoma. Macroscopical examinations were performed in major organs to check congestion and infarction. Tissues of the organs were collected to make HE staining to evaluate histopathological changes. Bleeding complications were not found in all animals throughout the experiments. Intraoperative ACT values were (326 ± 33) s. ACT values were(157±28)s in the prior four days, reaching the target range. The aPTT increased slowly and reached the lower limit of the target range at the fourth day. No thrombosis and fibrosis tissue were found in blood flow channel except for Sheep4. Pathological images showed no thrombosis, necrosis and microembolus in endstage organs under the anticoagulation regimen. Under the anticoagulation regimen of continuous intravenous heparin maintaining ACT 15~20 times the baseline and later oral warfarin maintaining INR values within the range of 12~20, thrombosis and bleeding complications could be well controlled in sheep models for CHVAD, providing reference for later animal experiments.
2014 Vol. 33 (5): 585-592 [
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593
Fabrication and Evaluation of Polyurethane Scaffolds with HoneycombLike Structure
XU Wei Jun QIAN Jun Min
*
JIN Xin Xia
DOI: 10.3969/j.issn.0258-8021.2014.05.010
In this study, poly (εcaprolactone) diol was synthesized via ringopening polymerization of εcaprolactone using 2,2′dithiodiethanol as an initiator, and then polyurethane was synthesized through addition polymerization of poly (εcaprolactone) and hexamethylene diisocyanate. Polyurethane was characterized by FTIR, XRD and DSC. Polyurethane scaffolds were fabricated by biotemplating technique, and their porous structure, porosity and mechanical properties were characterized by SEM, archimedes principle based method and mechanical test, respectively. MC3T3E1 cells were cultured on polyurethane scaffolds to evaluate their cytocompatibility. The results indicated that polyurethane scaffolds had a honeycomblike channels with a diameter range of 100 μm to 140 μm, and their porosity and compressive modulus were 772%±41% and 29902 kPa, respectively. Immunofluorescence staining and live/dead staining results indicated that MC3T3E1 cells could adhere and proliferate on the scaffolds. The results suggested that the honeycomblike polyurethane scaffolds were a promising candidate for bone tissue engineering.
2014 Vol. 33 (5): 593-599 [
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600
Preparation and Characterization of C6Oxidated Bacterial Cellulose/Chitosan Composite
LIAO ShiBo
1,2
HUANG Shu Yu
2
LAI Chen
1
XI TingFei
1#*
WU Min
2
LIU Yu Ping
2
YAN Yi Min
2
DOI: 10.3969/j.issn.0258-8021.2014.05.011
Bacterial cellulose (BC) is a natural scaffold for bone tissue engineering. To improve its degradability and microstructural controllability, C6oxidated bacterial cellulose/chitosan (OBC/CH) composite scaffolds were prepared by lyophilization of a mixture of OBC suspension and CH solution in a cylindrical mold. The original BC was subjected to 2,2,6,6tetramethylpyperidine1oxyl radical (TEMPO)/NaBr/NaClOmediated oxidation to introduce surface carboxyl groups before mixing. The integration of CH within OBC was performed by 1ethyl3(3dimethylaminopropyl) carbodiimide/Nhydroxysuccinimide (EDC/NHS)mediated crosslinking. The products were characterized by FTIR, solidstate 13CNMR, XRD, in vitro degradation, porosity and FESEM. The FTIR and 13CNMR results show that OBC and CH were crosslinked successfully; XRD result shows that the crystallinity of the products was slightly decreased with the increase of CH content, the difference was less than 31%; the degradability of OBC and OBCCH in vitro was increased significantly, and the degradation rate within 8 weeks was 402% when ((OBCCOOH)/(CHNH2))/(n/n)=1/45; FESEM and porosity results show that the pore size and porosity of OBCCH scaffolds were greater than that of BC and OBC scaffolds, and the maximum porosity was reached 97% when ((OBCCOOH)/(CH0NH2))/(n/n)=1/45. In conclusion, OBCCH is an ideal scaffold for bone tissue engineering, with good degradability and microstructural controllability.
2014 Vol. 33 (5): 600-608 [
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609
Recent Advances in Bioinspired Olfaction/Gustation Sensors and their Applications#br#
QIN Zhen
1
DONG Qi HU Liang HUANG LiQuan
2
HSIA Jimmy
3
WANG Ping
1#*
DOI: 10.3969/j.issn.0258-8021.2014.05.012
The biological chemical sensory system has the ability to discriminate and identify thousands of chemical compounds at very low concentrations with extremely higher sensitivity and specificity than current artificial sensing devices. Recently, many researchers are trying to develop novel chemical detecting systems called as bioinspired olfaction/gustation sensors which take advantages of optimized natural molecular recognition. Bioinspired olfaction/gustation sensors consist of a primary transducer and a secondary transducer. The primary transducer is the biological recognition element of molecules such as biological tissues, cells and proteins. The second ary transducers such as optical devices, electrochemistry devices and acousticwave devices are the biochips for the detection of binding of chemical compounds to the primary transducers. In this article, we introduced the mechanism of biological sense of smell and taste, and outlined the latest advances of bioinspired olfaction/gustation sensors. Current research trends and future challenges in this field will be discussed.
〖KH2D〗
〖WTHZ〗Key words:〖WTBZ〗〖BP(〗┣┣(英)关键词┫┫〖BP)〗
2014 Vol. 33 (5): 609-619 [
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474
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620
Research Advances in the Tumor Ablation Induced by Nanosecond Pulse
REN Zhi Gang CHEN Xin Hua ZHOU Lin ZHENG ShuSen
*
DOI: 10.3969/j.issn.0258-8021.2014.05.013
Cancer remains a leading cause of human death worldwide and the total number of cases globally is increasing constantly, thus it is urgent to explore new and effective therapies for the cancer treatment. This paper reviewed 10 primary biological hallmarks of the cancer, introduced the distinguished advantages of tumor ablation induced by nanosecond pulse targeting tumor biological hallmarks, such as inducing cell apoptosis, inhibiting angiogenesis, destroying tumor microenvironment. We also elaborated the research progress of tumor ablation induced by nanosecond pulse employed in the treatment of cutaneous melanoma, basal cell carcinoma, squamous cell carcinoma, hepatocellular carcinoma and other tumors, showing an attractive application prospect.
2014 Vol. 33 (5): 620-624 [
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624
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625
Study on Ventilator Weaning for Pediatric Patients Based on Fuzzy C Means Clustering Algorithm
YU Gang
1
ZHENG Kun
1*
YE Sheng
2
DOI: 10.3969/j.issn.0258-8021.2014.05.014
2014 Vol. 33 (5): 625-629 [
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218
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630
Structure Design and Implementation on a LightWeight Exoskeleton Training Device for Hand Rehabilitation
YI JinHua
1
LI Ji Cai
1
HU Xin
1
YU Hong Liu
1*
DOI: 10.3969/j.issn.0258-8021.2014.05.015
2014 Vol. 33 (5): 630-634 [
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283
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635
Medical Evaluation and Application of a Fast Automatic Airway Tree Segmentation Algorithm#br#
QI ShouLiang1〓LI ZhengHua1〓YUE Yong2〓XU MingJie1〓HAN JW van Triest1〓KANG Yan1#*
DOI: 10.3969/j.issn.0258-8021.2014.05.016
2014 Vol. 33 (5): 635-640 [
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