• 제목/요약/키워드: self-imaging

검색결과 206건 처리시간 0.026초

Infrared Imaging for Screening Breast Cancer Metastasis Based on Abnormal Temperature Distribution

  • Ovechkin Aleck M.;Yoon Gilwon
    • Journal of the Optical Society of Korea
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    • 제9권4호
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    • pp.157-161
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    • 2005
  • Medical infrared imaging is obtained by measuring the self-emitted infrared radiance from the human body. Infrared emission is related to surface temperature and temperature is one of the most important physiological parameters related to health. Though recent applications such as security identification and oriental medicine have provided new fields of biomedical applications, infrared thermography has had ups and downs in its usages in cancer detection. Some of the main difficulties include finding proper applications and efficient diagnostic algorithms. In this study, infrared thermal imaging was used to detect regional metastasis of breast cancer. Our measurements were done for 110 women. From 63 individuals of a Healthy Group and a Benign Breast Disease Group, we developed algorithms for differentiating malignant regional metastasis based on temperature difference and asymmetry of temperature distribution. Testing with 47 cancer patients, we achieved a positive predictive value of $87.5\%$ and a negative predictive value of $95.6\%$. The results were better than for mammogram examination. A proper analysis of infrared imaging proved to be a highly informative and sensitive method for differentiating regional cancer metastasis from normal regions.

GA-based Feed-forward Self-organizing Neural Network Architecture and Its Applications for Multi-variable Nonlinear Process Systems

  • Oh, Sung-Kwun;Park, Ho-Sung;Jeong, Chang-Won;Joo, Su-Chong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제3권3호
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    • pp.309-330
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    • 2009
  • In this paper, we introduce the architecture of Genetic Algorithm(GA) based Feed-forward Polynomial Neural Networks(PNNs) and discuss a comprehensive design methodology. A conventional PNN consists of Polynomial Neurons, or nodes, located in several layers through a network growth process. In order to generate structurally optimized PNNs, a GA-based design procedure for each layer of the PNN leads to the selection of preferred nodes(PNs) with optimal parameters available within the PNN. To evaluate the performance of the GA-based PNN, experiments are done on a model by applying Medical Imaging System(MIS) data to a multi-variable software process. A comparative analysis shows that the proposed GA-based PNN is modeled with higher accuracy and more superb predictive capability than previously presented intelligent models.

Expression and Significance of MicroRNA155 in Serum of Patients with Cerebral Small Vessel Disease

  • Guo, Ying;Li, Dongxue;Li, Jiapei;Yang, Nan;Wang, Deyun
    • Journal of Korean Neurosurgical Society
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    • 제63권4호
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    • pp.463-469
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    • 2020
  • Objective : This study aimed to investigate the changes and significance of microRNA155 levels in serum of patients with cerebral small vessel disease (CSVD). Methods : Thirty patients with CSVD who met the inclusion criteria were selected and divided into eight patients with lacunar infarction (LI) group and 22 patients with multiple lacunar infarction (MLI) combined with white matter lesions (WML) group according to the results of head magnetic resonance imaging (MRI). Thirty samples from healthy volunteers without abnormalities after head MRI examination were selected as the control group. The levels of serum microRNA155 in each group were determined by real-time polymerase chain reaction, and the correlation between microRNA155 in the serum of patients with CSVD and the increase of imaging lesions was analyzed by Spearman correlation analysis. Results : Compared with the control group, the serum microRNA155 level in the LI group, MLI combined with WML group increased, the difference was statistically significant (p<0.05); serum microRNA155 level was positively correlated with the increase of imaging lesions (p<0.05). Conclusion : The change of serum microRNA155 level in patients with CSVD may be one of its self-protection mechanisms, and the intensity of this self-protection mechanism is positively correlated with the number of CSVD lesions.

Understanding Neurogastroenterology From Neuroimaging Perspective: A Comprehensive Review of Functional and Structural Brain Imaging in Functional Gastrointestinal Disorders

  • Kano, Michiko;Dupont, Patrick;Aziz, Qasim;Fukudo, Shin
    • Journal of Neurogastroenterology and Motility
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    • 제24권4호
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    • pp.512-527
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    • 2018
  • This review provides a comprehensive overview of brain imaging studies of the brain-gut interaction in functional gastrointestinal disorders (FGIDs). Functional neuroimaging studies during gut stimulation have shown enhanced brain responses in regions related to sensory processing of the homeostatic condition of the gut (homeostatic afferent) and responses to salience stimuli (salience network), as well as increased and decreased brain activity in the emotional response areas and reduced activation in areas associated with the top-down modulation of visceral afferent signals. Altered central regulation of the endocrine and autonomic nervous responses, the key mediators of the brain-gut axis, has been demonstrated. Studies using resting-state functional magnetic resonance imaging reported abnormal local and global connectivity in the areas related to pain processing and the default mode network (a physiological baseline of brain activity at rest associated with self-awareness and memory) in FGIDs. Structural imaging with brain morphometry and diffusion imaging demonstrated altered gray- and white-matter structures in areas that also showed changes in functional imaging studies, although this requires replication. Molecular imaging by magnetic resonance spectroscopy and positron emission tomography in FGIDs remains relatively sparse. Progress using analytical methods such as machine learning algorithms may shift neuroimaging studies from brain mapping to predicting clinical outcomes. Because several factors contribute to the pathophysiology of FGIDs and because its population is quite heterogeneous, a new model is needed in future studies to assess the importance of the factors and brain functions that are responsible for an optimal homeostatic state.

Nano-identification for the Cleavage of Disulfide Bond during the Self-Assembly Processes of Unsymmetric Dialkyl Disulfides on Au(111)

  • Noh, Jae-Geun
    • Bulletin of the Korean Chemical Society
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    • 제26권4호
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    • pp.553-557
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    • 2005
  • The formation of striped phases of unsymmetric hexyl octadecyl disulfide ($CH_3(CH_2)_5SS(CH_2)_{17}CH_3$, HOD) and 1-hydroxyundecyl octadecyl disulfide ($CH_3(CH_2)_{17}SS(CH_2)_{11}$OH, HUOD) on Au(111) and graphite has been investigated by scanning tunneling microscopy (STM) to understand the self-assembly processes of dialkyl disulfides. STM imaging clearly shows the formation of striped phases having corrugation periodicities that are nearly consistent with the molecular length of alkanethiolate moieties formed after the S-S bond cleavage of dialkyl disulfide on a gold surface. On the other hand, self-assembled monolayers (SAMs) of dialkyl disulfides on a graphite surface displayed long-range, well-ordered monolayers with one striped pattern that shows periodicity as a function of molecular length via nondissociative adsorption. From a nonoscopic viewpoint, we have clearly demonstrated that dialkyl disulfide SAMs on gold form via S-S bond cleavage of disulfide.

Pair-Wise Serial ROIC for Uncooled Microbolometer Array

  • Haider, Syed Irtaza;Majzoub, Sohaib;Alturaigi, Mohammed;Abdel-Rahman, Mohamed
    • IEIE Transactions on Smart Processing and Computing
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    • 제4권4호
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    • pp.251-257
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    • 2015
  • This work presents modelling and simulation of a readout integrated circuit (ROIC) design considering pair-wise serial configuration along with thermal modeling of an uncooled microbolometer array. A fully differential approach is used at the input stage in order to reduce fixed pattern noise due to the process variation and self-heating-related issues. Each pair of microbolometers is pulse-biased such that they both fall under the same self-heating point along the self-heating trend line. A ${\pm}10%$ process variation is considered. The proposed design is simulated with a reference input image consisting of an array of $127{\times}92$ pixels. This configuration uses only one unity gain differential amplifier along with a single 14-bit analog-to-digital converter in order to minimize the dynamic range requirement of the ROIC.

Relationships between Intermittent Locking History and Self-Reported Bruxism in Temporomandibular Joint

  • Lee, Myeong-Ok;Lee, Yeon-Hee;Kang, Soo-Kyung;Chun, Yang-Hyun;Hong, Jung-Pyo;Auh, Q-Schick
    • Journal of Oral Medicine and Pain
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    • 제42권2호
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    • pp.29-34
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    • 2017
  • Purpose: To evaluate aggravating factors of intermittent locking among temporomandibular joint using magnetic resonance imaging (MRI) and diagnostic criteria for temporomandibular disorder (DC/TMD) diagnosis. Methods: A retrospective analysis was conducted of 35 patients with intermittent locking history but normal intra-articular findings between September 2012 and June 2015 in Kyung Hee University Dental Hospital. A standardized DC/TMD assessment was performed on subjects with MRI findings. Clinical findings were assessed on the basis of maximum mouth opening (active & passive), self-reported habits, patients' age, gender, systemic diseases at the initial visit. First, chi square test was used to examine differences with variables and then risk factors for intermittent locking were assessed using multivariate logistic regression. Results: Self-reported bruxism was strongly associated with intermittent locking history. Conclusions: The new DC/TMD protocol is intended for use within any clinical setting and supports the full range of diagnostic activities from screening to definitive evaluation and diagnosis. Self-reported sleep bruxism has been associated with a higher likelihood of intermittent locking. Comorbidity is therefore a factor that must be assessed. It is necessary to consider the amount of contact of the teeth and the duration.

표면 플라즈몬 현미경을 이용한 자기조립 단분자막의 이미징 (Imaging of self-assembled monolayers by surface plasmon microscope)

  • 표현봉;신용범;윤현철;양해식;김윤태
    • 한국광학회지
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    • 제14권1호
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    • pp.97-102
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    • 2003
  • 이차원 표면 플라즈몬의 공명 흡수와 포토 마스크를 이용하여 11-MUA(11-Mercaptoundecanoic acid)와 11-MUOH(11-Mercaptoundecanol) 둥으로 이루어진 자기조립 단분자막(Self-Assembled Monolayer; SAM)의 다채널 영상을 얻었다. 통상의 Photoresist를 이용한 리토그래피 대신에 Thiol bonding의 광산화를 이용하여 패터닝 과정을 줄이고, 백색광 및 대역통과 필터(λ$_{0}$=633nm)를 이용하여 입사광으로써 레이저를 사용할 때 나타나는 간섭무늬를 줄였다. 이로부터 나타나는 이차원 영상의 명암을 정량적으로 보정하면 수 나노미터(nm) 두께의 변화를 측정할 수 있다. 또한 표면 플라즈몬 공명법은 국소화된 근접장 (소산장)을 이용하는 방법으로서, 통상 많이 이용되는 형광법 등에서 나타나는 광탈색(Photobleaching)이나 소광(Quenching) 현상이 없이 시료의 처리가 간단하고, 영상 신호의 시간에 따른 변화가 극히 적으며, 실시간으로 신호의 변화를 측정할 수 있다는 장점이 있다.