• 제목/요약/키워드: Image Diagnosis

검색결과 1,414건 처리시간 0.029초

특이값분해 기반 동적의료영상 재구성기법의 특징 파악을 위한 시뮬레이션 연구 (Simulation Study for Feature Identification of Dynamic Medical Image Reconstruction Technique Based on Singular Value Decomposition)

  • 김도휘;정영진
    • 대한방사선기술학회지:방사선기술과학
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    • 제42권2호
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    • pp.119-130
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    • 2019
  • Positron emission tomography (PET) is widely used imaging modality for effective and accurate functional testing and medical diagnosis using radioactive isotopes. However, PET has difficulties in acquiring images with high image quality due to constraints such as the amount of radioactive isotopes injected into the patient, the detection time, the characteristics of the detector, and the patient's motion. In order to overcome this problem, we have succeeded to improve the image quality by using the dynamic image reconstruction method based on singular value decomposition. However, there is still some question about the characteristics of the proposed technique. In this study, the characteristics of reconstruction method based on singular value decomposition was estimated over computational simulation. As a result, we confirmed that the singular value decomposition based reconstruction technique distinguishes the images well when the signal - to - noise ratio of the input image is more than 20 decibels and the feature vector angle is more than 60 degrees. In addition, the proposed methode to estimate the characteristics of reconstruction technique can be applied to other spatio-temporal feature based dynamic image reconstruction techniques. The deduced conclusion of this study can be useful guideline to apply medical image into SVD based dynamic image reconstruction technique to improve the accuracy of medical diagnosis.

한방 설진을 위한 컴퓨터 지원 진단 소프트웨어 구현 (Implementation of Computerized Assistant Diagnosis Software for Tongue Diagnosis in the Oriental Medicine)

  • 이우범
    • 전자공학회논문지
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    • 제51권6호
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    • pp.175-182
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    • 2014
  • 한방에서 설진은 초기 병증을 진단할 수 있는 방법으로 객관적인 진단 지표의 개발은 중요한 연구 분야 가운데 하나이다. 그러나 이전의 대부분의 설진 시스템은 한의사의 간섭을 배제한 자동 진단을 위한 전문가 시스템으로서 진료를 위한 객관화된 진단 지표의 생성에 있어서 어려움이 있었다. 따라서 본 논문에서는 한방 설진에 있어서 한의사의 진료 행위에 의해서 최적화된 설진을 위한 진단 지표를 계산하는 컴퓨터 지원 진단 소프트웨어를 제안한다. 개발한 소프트웨어는 반자동 방식으로 설질 추출을 위해서는 한의사의 매뉴얼 방식을 이용하고, 설태 영역을 자동 분할하여 비설태와 설태의 색상, WTCI 등에 대한 수치적 진단 지표를 한의사에게 실시간으로 제공한다. 또한, 설태 비율을 이용하여 소태, 박태, 후태의 분류 확률 추정 값과 진료 편의를 위한 전자의무기록 차트 기능도 제공한다. 구현된 컴퓨터 지원 진단 소프트웨어의 유효성 평가를 위해서는 60명의 피실험자를 대상으로 혀 영상을 구축하고, 설진 소프트웨어를 실험한 결과 피실험자의 95%가 소프트웨어 사용-유효성을 나타냈다.

PACS환경에서 디지털유방엑스선 영상 화질에 관한 연구 (The research on Full Field Digital Mammography Image Quality in PACS Environment)

  • 정재호
    • 대한디지털의료영상학회논문지
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    • 제16권2호
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    • pp.25-29
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    • 2014
  • The full-field digital mammography (FFDM), which has been known as a digital breast imaging system, carries out more outstanding performance than the screen-film mammography in overall image quality, skin & nipple, description of pectoral muscle and expression of micro-calcification. Thus, in this thesis, I perform experiments for both the enhancement of image quality and accurate estimation of the result in question, when detecting the very tiny-sized lesions in mammography. The image of digital breast X-rays is the important diagnostic tool for detecting early breast cancer and micro calcification lesion. The experiment of how much compression rate has an effect on the result of diagnosis in the case of microcalcification lesion, with JPEG2000 40:1 compression and over 50% enlargement led to obscure or definitely unacceptable diagnostic results is performed. And in another study of assessment of PSNR degree. I recognized the importance of standardized management system in mammography, where not to mention the accurate reading of the image has the most crucial role in diagnosis

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설진 시스템 특허동향 분석 (Analysis of patent trends of computerized tongue diagnosis systems)

  • 정창진;이유정;김재욱;김근호
    • 대한한의진단학회지
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    • 제17권2호
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    • pp.77-89
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    • 2013
  • Objectives Tongue diagnosis is an important diagnostic method in traditional Eastern medicine, and it has a high potential to be used in the future healthcare because of easy, quick, and non-contact measuring features. Recently, research and development efforts on computerized tongue diagnosis systems (CTDS) have been active that led to the technical advancements in the field of photographing techniques, image extraction and classification algorithms. In this study, we analyzed the trends in the CTDS patents. Using the WIPS search engine (www.wipsglobal.com), quantitative and qualitative patent analyses were performed through Korea, China, Japan, U.S.A and Europe. Methods For a systematic search and data analysis, we defined patent categories based on the application area and technical details. By applying thus-obtained categorical key words, we obtained 360 relevant patents on photographing techniques, image extraction and classification algorithms for the purpose of diagnosis or security. Results As a result, companies related to image acquisition, medical imaging and mobile devices and research groups of universities in East Asia were major patent applicants. In all the five countries, the number of patents have been increasing since 1980. In particular, technology related to color correction and image segmentation were most actively patented categories, and expected to continue a high application rate.

Statistical Techniques based Computer-aided Diagnosis (CAD) using Texture Feature Analysis: Applied of Cerebral Infarction in Computed Tomography (CT) Images

  • Lee, Jaeseung;Im, Inchul;Yu, Yunsik;Park, Hyonghu;Kwak, Byungjoon
    • 대한의생명과학회지
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    • 제18권4호
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    • pp.399-405
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    • 2012
  • The brain is the body's most organized and controlled organ, and it governs various psychological and mental functions. A brain abnormality could greatly affect one's physical and mental abilities, and consequently one's social life. Brain disorders can be broadly categorized into three main afflictions: stroke, brain tumor, and dementia. Among these, stroke is a common disease that occurs owing to a disorder in blood flow, and it is accompanied by a sudden loss of consciousness and motor paralysis. The main types of strokes are infarction and hemorrhage. The exact diagnosis and early treatment of an infarction are very important for the patient's prognosis and for the determination of the treatment direction. In this study, texture features were analyzed in order to develop a prototype auto-diagnostic system for infarction using computer auto-diagnostic software. The analysis results indicate that of the six parameters measured, the average brightness, average contrast, flatness, and uniformity show a high cognition rate whereas the degree of skewness and entropy show a low cognition rate. On the basis of these results, it was suggested that a digital CT image obtained using the computer auto-diagnostic software can be used to provide valuable information for general CT image auto-detection and diagnosis for pre-reading. This system is highly advantageous because it can achieve early diagnosis of the disease and it can be used as supplementary data in image reading. Further, it is expected to enable accurate medical image detection and reduced diagnostic time in final-reading.

Image Transfer Using Cellular Phones and Wireless Internet Service

  • Shin, Dong-Ah;Doo, Tae-Hoon;Kim, Hyo-Jun;Kim, Hyoung-Ihl
    • Journal of Korean Neurosurgical Society
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    • 제39권6호
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    • pp.471-474
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    • 2006
  • Objective : Neuroimaging data are of paramount importance in making correct diagnosis. We herein evaluate the clinical usefulness of image transfer using cellular phones to facilitate neurological diagnosis and decision-making. Methods : Selected images from CT, MRI scans, and plain films obtained from 50 neurosurgical patients were transferred by cellular phones. A cellular phone with a built-in 1,300,000-pixel digital camera was used to capture and send the images. A cellular phone with a 262,000 color thin-film transistor liquid crystal display was used to receive the images. Communication between both cellular phones was operated by the same wireless protocol and the same wireless internet service. We compared the concordance of diagnoses and treatment plans between a house staff who could review full-scale original films and a consultant who could only review transferred images. These finding were later analyzed by a third observer. Results : The mean time of complete transfer was $2{\sim}3\;minutes$. The quality of all images received was good enough to make precise diagnosis and to select treatment options. Transferred images were helpful in making correct diagnosis and decision making in 49/50 [98%] cases. Discordant result was caused in one patient by improper selection of images by the house staff. Conclusion : The cellular phone system was useful for image transfer and delivery patient's information, leading to earlier diagnosis and initiation of treatment. This usefulness was due to sufficient resolution of the built-in camera and the TFT-LCD, the user-friendly features of the devices, and their low cost.

기계윤활 운동면의 작동상태 진단을 위한 마멸분 해석 (Analysis of Wear Debris for Machine Condition Diagnosis of the Lubricated Moving Surface)

  • 서영백;박흥식;전태옥
    • 대한기계학회논문집A
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    • 제21권5호
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    • pp.835-841
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    • 1997
  • Microscopic examination of the morphology of wear debris is an accepted method for machine condition and fault diagnosis. However wear particle analysis has not been widely accepted in industry because it is dependent on expert interpretation of particle morphology and subjective assessment criteria. This paper was undertaken to analyze the morphology of wear debris for machine condition diagnosis of the lubricated moving surfaces by image processing and analysis. The lubricating wear test was performed under different sliding conditions using a wear test device made in our laboratory and wear testing specimen of the pin-on-disk-type was rubbed in paraffine series base oil. In order to describe characteristics of debris of various shape and size, four shape parameters (50% volumetric diameter, aspect, roundness and reflectivity) have been developed and outlined in the paper. A system using such techniques promises to obviate the need for subjective, human interpretation of particle morphology in machine condition monitoring, thus to overcome many of the difficulties in current methods and to facilitate wider use of wear particle analysis in machine condition monitoring.

경증 두부외상 환자에서 MR FLAIR 영상의 임상적 유용성 (Clinical Usefulness of MR FLAIR Image in Mild Head Injuries)

  • 김세윤;황금;김헌주;이명섭
    • Journal of Korean Neurosurgical Society
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    • 제30권10호
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    • pp.1182-1186
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    • 2001
  • Objectives : MR fluid-attenuated inversion recovery(FLAIR) image uses paired long inversion time and relaxation time that nulls the signal from CSF. With nulling of the CSF long echo time readout could be used to increase T2-weighting, hence improving the conspicuousness of most tissue lesions without the deleterious effects of CSF artifact seen on T2 weighted sequence. We examed the usefulness of FALIR image in the diagnosis of mild head injury. Methods : A total of 38 patients with mild head injury were examined by FLAIR image. We compared those images with CT scan and T1, T2-weighted images. Careful observation of MR images were done by two well-trained neuroradiologists. Each image was compared for conspicuousness and detectability of traumatic lesions might have shown abnormal signal intensities. The Wilcoxon signed ranks test was used for statistical evaluation. Results : The FLAIR image was significantly more sensitive than those of other images(p<0.001). T2 FFE(Fast Field Echo) image was more useful for detection of small petechial hemorrhages. Conclusion : FLAIR image is considered to be more sensitive than those of conventional MR images in the evaluation of mild head injuries.

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Texture Analysis for Classifying Normal Tissue, Benign and Malignant Tumors from Breast Ultrasound Image

  • Eom, Sang-Hee;Ye, Soo-Young
    • Journal of information and communication convergence engineering
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    • 제20권1호
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    • pp.58-64
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    • 2022
  • Breast ultrasonic reading is critical as a primary screening test for the early diagnosis of breast cancer. However, breast ultrasound examinations show significant differences in diagnosis based on the difference in image quality according to the ultrasonic equipment, experience, and proficiency of the examiner. Accordingly, studies are being actively conducted to analyze the texture characteristics of normal breast tissue, positive tumors, and malignant tumors using breast ultrasonography and to use them for computer-assisted diagnosis. In this study, breast ultrasonography was conducted to select 247 ultrasound images of 71 normal breast tissues, 87 fibroadenomas among benign tumors, and 89 malignant tumors. The selected images were calculated using a statistical method with 21 feature parameters extracted using the gray level co-occurrence matrix algorithm, and classified as normal breast tissue, benign tumor, and malignancy. In addition, we proposed five feature parameters that are available for computer-aided diagnosis of breast cancer classification. The average classification rate for normal breast tissue, benign tumors, and malignant tumors, using this feature parameter, was 82.8%.

얼굴뼈 골절의 진단과 치료에 64채널 3D VCT와 Conventional 3D CT의 비교 (Comparison of 64 Channel 3 Dimensional Volume CT with Conventional 3D CT in the Diagnosis and Treatment of Facial Bone Fractures)

  • 정종명;김종환;홍인표;최치훈
    • Archives of Plastic Surgery
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    • 제34권5호
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    • pp.605-610
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    • 2007
  • Purpose: Facial trauma is increasing along with increasing popularity in sports, and increasing exposure to crimes or traffic accidents. Compared to the 3D CT of 1990s, the latest CT has made significant improvement thus resulting in higher accuracy of diagnosis. The objective of this study is to compare 64 channel 3 dimensional volume CT(3D VCT) with conventional 3D CT in the diagnosis and treatment of facial bone fractures. Methods: 45 patients with facial trauma were examined by 3D VCT from Jan. 2006 to Feb. 2007. 64 channel 3D VCT which consists of 64 detectors produce axial images of 0.625 mm slice and it scans 175 mm per second. These images are transformed into 3 dimensional image using software Rapidia 2.8. The axial image is reconstructed into 3 dimensional image by volume rendering method. The image is also reconstructed into coronal or sagittal image by multiplanar reformatting method. Results: Contrasting to the previous 3D CT which formulates 3D images by taking axial images of 1-2 mm, 64 channel 3D VCT takes 0.625 mm thin axial images to obtain full images without definite step ladder appearance. 64 channel 3D VCT is effective in diagnosis of thin linear bone fracture, depth and degree of fracture deviation. Conclusion: In its expense and speed, 3D VCT is superior to conventional 3D CT. Owing to its ability to reconstruct full images regardless of the direction using 2 times higher resolution power and 4 times higher speed of the previous 3D CT, 3D VCT allows for accurate evaluation of the exact site and deviation of fine fractures.