• Title/Summary/Keyword: Needle detection

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A Study on Needle Detection by using RGB Color Information (RGB 컬러정보를 이용한 침 인식에 관한 연구)

  • Han, Soowhan;Jang, Kyung-Shik
    • Journal of Korea Multimedia Society
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    • v.18 no.10
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    • pp.1216-1224
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    • 2015
  • In this paper, a detection algorithm for the removal of needle in oriental clinic is presented. First, in the proposed method, the candidate areas of each needle penetrated are selected by using the RGB color information of needle head, and the false candidates are removed by considering their area size. Next, two main edges of the needle are extracted through using the edges of selected candidate areas and their radon transformation. The final verification of penetrated needle is accomplished by using the morphological analysis of these two edge lines. In the experiments, the detection rate of proposed method reaches to 99% for the 36 images containing 294 needles.

Development and Evaluation of D-Attention Unet Model Using 3D and Continuous Visual Context for Needle Detection in Continuous Ultrasound Images (연속 초음파영상에서의 바늘 검출을 위한 3D와 연속 영상문맥을 활용한 D-Attention Unet 모델 개발 및 평가)

  • Lee, So Hee;Kim, Jong Un;Lee, Su Yeol;Ryu, Jeong Won;Choi, Dong Hyuk;Tae, Ki Sik
    • Journal of Biomedical Engineering Research
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    • v.41 no.5
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    • pp.195-202
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    • 2020
  • Needle detection in ultrasound images is sometimes difficult due to obstruction of fat tissues. Accurate needle detection using continuous ultrasound (CUS) images is a vital stage of treatment planning for tissue biopsy and brachytherapy. The main goal of the study is classified into two categories. First, new detection model, i.e. D-Attention Unet, is developed by combining the context information of 3D medical data and CUS images. Second, the D-Attention Unet model was compared with other models to verify its usefulness for needle detection in continuous ultrasound images. The continuous needle images taken with ultrasonic waves were converted into still images for dataset to evaluate the performance of the D-Attention Unet. The dataset was used for training and testing. Based on the results, the proposed D-Attention Unet model showed the better performance than other 3 models (Unet, D-Unet and Attention Unet), with Dice Similarity Coefficient (DSC), Recall and Precision at 71.9%, 70.6% and 73.7%, respectively. In conclusion, the D-Attention Unet model provides accurate needle detection for US-guided biopsy or brachytherapy, facilitating the clinical workflow. Especially, this kind of research is enthusiastically being performed on how to add image processing techniques to learning techniques. Thus, the proposed method is applied in this manner, it will be more effective technique than before.

Needle Detection by using Morphological Operation and Line Segment Approximation (형태학적 연산과 선분 근사화를 이용한 침 검출)

  • Jang, Kyung-shik;Han, Soowhan
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.12
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    • pp.2785-2791
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    • 2015
  • In this paper, neddle detection algorithm for the removal of needle stuck into skin in oriental clinic is presented. First, in the proposed method, potential candidate areas of each needle are selected by using the morphological open operation in a gray image, and the false candidates are removed by considering their area size. Next, edge points are extracted using canny edge detector in selected candidate areas, line segments are approximated using the edge points. Based on the direction of line segment and the distance between two line segments, two main line segments of the needle are extracted. The final verification of needle is accomplished by using the morphological analysis of these two line segments. In the experiments, the detection rate of proposed method reaches to 97.5% for the 16 images containing 119 needles.

Transthoracic Needle Biopsy of Thoracic Lesions (흉부 병터에 대한 경흉부 바늘생검)

  • Song, Jae-Woo
    • Tuberculosis and Respiratory Diseases
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    • v.56 no.3
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    • pp.241-247
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    • 2004
  • In the diagnostic evaluation of thoracic lesions, the image-guided transthoracic needle biopsy was developed, and its role was expanded with the development of cross-sectional detection and characterization of thoracic lesions and advances in biopsy needle design and techniques. Particularly for diagnostic evaluation of solitary pulmonary nodules, transthoracic needle biopsy has emerged as the invasive procedure of choice. This article covers the indication, the pre-procedure preparation, various guidance-modalities and techniques, and complications.

Fabrication of In-needle Microextraction Device Using Nichrome Wire Coated with Poly(ethylene glycol) and Poly(dimethylsiloxane) for Determination of Volatile Compounds in Lavender Oils

  • Lee, Eun Ji;Lee, Dong-Sun
    • Bulletin of the Korean Chemical Society
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    • v.35 no.1
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    • pp.211-217
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    • 2014
  • A new needle-based device for headspace wire coated in-needle microextraction (HS-WC-INME) was fabricated using a nichrome wire coated with poly(ethylene glycol) (PEG) and poly(dimethylsiloxane) (PDMS) mixture. The proposed needle device was applied for the determination of volatile compounds in lavender and lavandin essential oils by gas chromatography. Fundamental parameters such as needle design, conditions of extraction and desorption were optimized along with the validation of the extraction and desorption efficiency. The optimal conditions were 30 min extraction at $50^{\circ}C$ and 2 min desorption at $240^{\circ}C$. The calibration curves showed good linearity with the suitable values of the coefficients of determination ($r^2$) greater than 0.99. The limits of detection for linalyl acetate, ${\beta}$-caryophyllene, linalool and (+)-limonene were 7.15, 9.04, 10.79 and 22.26 ng, respectively. Analytical recoveries were acceptable in the test samples, varying from 86.7% to 108.0%. The values of relative standard deviations for run to run showed range less than 0.9% while 3.9% through 7.2% for needle to needle. The proposed PEG-PDMS coating could be more suitable than PDMS coating to extract particular polar groups such as alcohols.

Analysis of Volatile Fatty Acids in Air by Dynamic SPME (Dynamic SPME를 이용한 공기 중 지방산 분석)

  • Yu, Mee-Seon;Yang, Sung-Bong;Ha, Nam-Ki
    • Journal of Environmental Science International
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    • v.19 no.12
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    • pp.1447-1454
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    • 2010
  • In this study, the detection limits of lower fatty acids in air were investigated by using Dynamic SPME(Solid Phase Micro-Extraction), i.e. improved Head Space - SPME method(HS-SPME). This Dynamic SPME, called SPDE(Solid Phase Dynamic Extraction), is the analytical method for volatile compounds in air with the extraction by using a stainless steel needle of which inner surface is coated with adsorption material and following the gas chromatographic analysis by inserting the needle into a injection port of GC and subsequently, desorption of the volatile compounds into a gas-chromatographic column. Extraction was carried out by passing the sample air through the needle with a suction pump which has been used for a detection tube. The result of measurement for the 6 lower fatty acids showed that the detection limits ranged from 0.10 ppm to 0.44 ppm and the linear correlation coefficients were over 0.99. Relative standard deviations obtained from 5 analytical repetition of a ca. 1.6 ppm standard mixture were in the range of 1.87%~2.47%. This method has been shown to be a adequate for the measuring C2~C5 fatty acids in air in the concentrations of over several hundreds ppb.

Preliminary Report of Three-Dimensional Reconstructive Intraoperative C-Arm in Percutaneous Vertebroplasty

  • Shin, Jae-Hyuk;Jeong, Je-Hoon
    • Journal of Korean Neurosurgical Society
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    • v.51 no.2
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    • pp.120-123
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    • 2012
  • Objective : Percutaneous vertebroplasty (PVP) is usually carried out under three-dimensional (2D) fluoroscopic guidance. However, operative complications or bone cement distribution might be difficult to assess on the basis of only 2D radiographic projection images. We evaluated the feasibility of performing an intraoperative and postoperative examination in patients undergoing PVP by using three-dimensional (3D) reconstructive C-arm. Methods : Standard PVP procedures were performed on 14 consecutive patients by using a Siremobil Iso-$C^{3D}$ and a multidetector computed tomography machine. Post-processing of acquired volumetric datasets included multiplanar reconstruction (MPR) and surface shaded display (SSD). We analyzed intraoperative and immediate postoperative evaluation of the needle trajectory and bone cement distribution. Results : The male : female ratio was 2 : 12; mean age of patients, 70 (range, 77-54) years; and mean T score, -3.4. The mean operation time was 52.14 min, but the time required to perform and post-process the rotational acquisitions was 7.76 min. The detection of bone cement distribution and leakage after PVP by using MPR and SSD was possible in all patients. However, detection of the safe trajectory for needle insertion was not possible. Conclusion : 3D rotational image acquisition can enable intra- or post-procedural assessment of vertebroplasty procedures for the detection of bone cement distribution and leakage. However, it is difficult to assess the safe trajectory for needle insertion.

Detection of Needle in trimmings or meat offals using DCGAN (DCGAN을 이용한 잡육에서의 바늘 검출)

  • Jang, Won-Jae;Cha, Yun-Seok;Keum, Ye-Eun;Lee, Ye-Jin;Kim, Jeong-Do
    • Journal of Sensor Science and Technology
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    • v.30 no.5
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    • pp.300-308
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    • 2021
  • Usually, during slaughter, the meat is divided into large chunks by part after deboning. The meat chunks are inspected for the presence of needles with an X-ray scanner. Although needles in the meat chunks are easily detectable, they can also be found in trimmings and meat offals, where meat skins, fat chunks, and pieces of meat from different parts get agglomerated. Detection of needles in trimmings and meat offals becomes challenging because of many needle-like patterns that are detected by the X-ray scanner. This problem can be solved by learning the trimmings or meat offals using deep learning. However, it is not easy to collect a large number of learning patterns in trimmings or meat offals. In this study, we demonstrate the use of deep convolutional generative adversarial network (DCGAN) to create fake images of trimmings or meat offals and train them using a convolution neural network (CNN).

Polymerase Chain Reaction Detection of Mycobacterium tuberculosis and Fine Needle Aspiration Cytology for the Diagnosis of Tuberculous Lymphadenitis (결핵성 림프절염의 진단를 위한 세침흡인 세포검사 및 중합효소연쇄 반응과 효소면역법을 이용한 Mycobacterium tuberculosis의 검출)

  • Kim, Joo-Heon;Kim, Nam-Hoon;Kang, Dong-Wook;Park, Mee-Ja;Moon, Sang-Kyoung;Yu, Tae-Cho;Jang, Eun-Ju
    • The Korean Journal of Cytopathology
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    • v.12 no.1
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    • pp.25-30
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    • 2001
  • Tuberculous lymphadenitis is not uncommon in Korea. Therefore, an inexpensive, safe and rapid method is needed to diagnose the tuberculous lymphadenitis. Flne needle aspiration cytology Is a good method for this purpose, but has several limitations in the diagnosis of tuberculous lymphadenitis, especially when the presence of acid-fast bacilli is not proved. To evaluation the usefulness of the polymerase chain reaction with enzyme immunoassay technique in the detection of Mycobacterium tuberculosis (M. tuberculosis) In the cervical Iymph node asplrates, the authors performed fine needle aspiration cytology and M. tuberculosis PCR with enzyme immunoassay for mycobacterial DNA sequences from 15 cases of the fine needle aspirates. Cytomorphologically, the cases were categorized into three types: predominantly necrotic materials; typical epithelioid cell granulomas with or without slant cells and caseous necrosis; and non-tuberculous lesions, such as reactive lymphadenitis, abscess, metastatic carcinoma and malignant lymphoma. M. tuberculosis DNA was found in 8 of 15 cases by PCR with enzyme immunoassay. Negative findings on PCR were achieved in 7 cases, which revealed non-tuberculous tymphadenopathy. In conclusion, we suggest that M. tuberculosis PCR with enzyme immunoassay using the fine needle aspirates is a very useful tool for the diagnosis of tuberculous lymphadenitis.

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Establishment of In vitro Detection System for iNOS Expression and the Verification of Suppressive Effect by Pine Needle Extract (iNOS 발현 검출을 위한 in vitro 시스템의 확립 및 적송잎 추출물에 의한 저해효과 검증)

  • Kim, Nam-Young;Jang, Hye-Ji;Lee, Dong-Geun;Jang, Min-Kyung;Lee, Seung-Woo;Jeon, Myong-Je;Kim, Mi-Hyang;Kim, Sung-Gu;Lee, Sang-Hyeon
    • KSBB Journal
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    • v.26 no.2
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    • pp.172-176
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    • 2011
  • This study was aimed to verify suppressive effect of pine-needle extract on lipopolysaccharide (LPS)-induced inducible nitric oxide synthase (iNOS) expression. In order to evaluate suppressive effect on iNOS expression, RAW 264.7 cells were stably transfected using an iNOS promoterluciferase reporter plasmid yielding RAW 264.7/pGL2-NeomiNOS_ pro11 cells. Established in vitro detection system revealed to diminish LPS-induced iNOS expression by 0.1~500 ${\mu}g/mL$ of saponin at the concentration-dependant manner. Pine needle extract also diminished LPS-induced iNOS expression to 92 and 88% at 500 and 50 ${\mu}g/mL$, respectively. These results suggest that the in vitro detection system developed here could be useful for the verification of suppressive materials on iNOS expression and pine needle extract could be used for the development of functional foods.