• 제목/요약/키워드: CT Scans

검색결과 576건 처리시간 0.02초

이하선 목재 이물 (Wooden Foreign Body in the Parotid Gland)

  • 문유진;최환준;김미선;최창용;박진규;김준혁
    • Archives of Plastic Surgery
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    • 제35권2호
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    • pp.201-204
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    • 2008
  • Purpose: Now the CT scanner and PACS program proved to be an excellent instrument for detection and localization of most facial foreign bodies above certain minimum levels of detectability. The severity of injury in penetrating trauma on the face is often underestimated in physical examination. Wood, with its porous consistency and organic nature, provides a good medium for microbial agents. This is a report of our recent experience with wooden foreign bodies in the parotid gland imaged with CT. Methods: A 9-year-old boy was referred for evaluation of possible retained foreign body within his face. One day earlier, he had fallen, face down approximately 1 miter onto ground. He had subsequently undergone an exploration of his right parotido-masseteric area at an outside hospital with repair of a right facial laceration. Enhanced 2 mm axial and coronal CT scans were obtained through the face. Axial and coronal CT images were obtained with a General Electric(Milwaukee, Wis) 9800 CT scanner at 130 kV, 90 mA, with a 2 mm section thickness. Results: We finally decided the linear "gas" attenuation was a foreign body because of its linear configuration, which did not conform to that of an anatomic structure, and on the basis of articles that described a wood foreign body in the orbit as having the appearance of air. We found that wood was hypoattenuating($-464{\pm}27HU$). Conclusion: We recommend this type of software program for CT scanning for any patient with an injury on the face in which a foreign body is suspected.

파노라마 방사선사진과 cone beam CT에서 제3대구치와 하악관의 관계 평가 (Assessment of the relationship between the mandibular third molar and the mandibular canal using panoramic radiograph and cone beam computed tomography)

  • 정연화;나경수;조봉혜
    • Imaging Science in Dentistry
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    • 제38권3호
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    • pp.163-167
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    • 2008
  • Purpose : The purpose of this study is to evaluate the position of the mandibular canal in relation to the mandibular third molar by cone beam CT in cases showing a close relationship between the third molar and the mandibular canal on the panoramic radiograph. Materials and Methods : The panoramic images and cone beam CT scans of 87 impacted mandibular third molars in 60 patients were evaluated to assess the tooth relationship to the mandibular canal. The clearness of the canal wall and the vertical depth of the lower third molar were evaluated on panoramic radiographs. The lower third molars were assessed using cone beam CT to determine the proximity and position of the canal relative to the roots. Results : In the 66 cases where the canal wall was unclear on the panoramic radiographs, 58 (87.9%) of the third molars had contact between the canal and root; 34 (51.5%) canals were showed an inferior position and 22 (33.3%) showed a linguoinferior position on cone beam CT. Conclusion : Interruption of the canal wall on panoramic radiographs was highly predictive of contact between the mandibular canal and the third molar. Cross sectional CT may be indicated for localization of the mandibular canal in such cases.

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흉부 총상견에서 CT 촬영을 통한 흉부외상의 진단 및 치료 증례 (Case Study of Diagnosis and Treatment of Thoracic Gunshot Trauma in a Dog by Computed Tomography)

  • 심경미;김세은;유경훈;박현정;배춘식;최석화;강성수
    • 한국임상수의학회지
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    • 제24권1호
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    • pp.46-50
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    • 2007
  • A 7-year-old female, Jindo dog was referred to the Veterinary Teaching Hospital with mild dyspnea and anorexia due to a gunshot trauma. The dog was wounded in the thoracic region 3 days ago. Plain radiographs showed the left 8th rib fracture, interstitial pattern in the left caudal lung field and pleural effusion. Abdominal radiographs showed the lead bullet. Computed tomographs(CT) showed the size of pulmonary contusion, laceration, lung parenchymal injuries, hemothorax and perforation of abdominal wall. The therapeutic plan was based on abnormalities seen on CT scans but not clearly seen in survey radiographs. Thoracic CT significantly provides even more informations compared with the corresponding radiographs in thoracic gunshot trauma. Although thoracic survey radiographs are useful as a screening tool, CT is highly sensitive in detecting thoracic injuries after thoracic trauma and is superior to routine thoracic survey radiographs in visualizing lung contusion, pneumothorax and hemothorax. Therefore, we recommend CT in the initial diagnostic work-up of patients with thoracic injuries and with suspected chest trauma because early and exact diagnosis of all thoracic injuries along with sufficient therapeutic consequences may reduce complications.

후복막강섬유화증으로 오인된 원발 부위 불명암 1예 (Cancer of Unknown Primary Site Mimicking Retroperitoneal Fibrosis)

  • 박찬걸;유수진;유인설;김진현;심승철;여민경;강성욱
    • The Korean Journal of Medicine
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    • 제93권6호
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    • pp.575-581
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    • 2018
  • 저자들은 최초 복부 CT 소견상 후복막강섬유화증으로 오인되었으나 적극적인 조직 검사를 통하여 후복막강에만 국한된 원발 부위 불명 전이암으로 진단된 증례를 경험하였다. 최근 후복막강섬유화증의 진단에 있어서 PET-CT 등 영상 검사가 기술적으로 많은 발전을 이루었지만 후복막강섬유화증의 진단시 악성종양의 배제는 필수적이기 때문에 후복막강섬유화증의 확진은 반드시 조직학적인 검사에 기초하여 이루어져야 함을 강조하는 바이다.

Efficient Semi-automatic Annotation System based on Deep Learning

  • Hyunseok Lee;Hwa Hui Shin;Soohoon Maeng;Dae Gwan Kim;Hyojeong Moon
    • 대한임베디드공학회논문지
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    • 제18권6호
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    • pp.267-275
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    • 2023
  • This paper presents the development of specialized software for annotating volume-of-interest on 18F-FDG PET/CT images with the goal of facilitating the studies and diagnosis of head and neck cancer (HNC). To achieve an efficient annotation process, we employed the SE-Norm-Residual Layer-based U-Net model. This model exhibited outstanding proficiency to segment cancerous regions within 18F-FDG PET/CT scans of HNC cases. Manual annotation function was also integrated, allowing researchers and clinicians to validate and refine annotations based on dataset characteristics. Workspace has a display with fusion of both PET and CT images, providing enhance user convenience through simultaneous visualization. The performance of deeplearning model was validated using a Hecktor 2021 dataset, and subsequently developed semi-automatic annotation functionalities. We began by performing image preprocessing including resampling, normalization, and co-registration, followed by an evaluation of the deep learning model performance. This model was integrated into the software, serving as an initial automatic segmentation step. Users can manually refine pre-segmented regions to correct false positives and false negatives. Annotation images are subsequently saved along with their corresponding 18F-FDG PET/CT fusion images, enabling their application across various domains. In this study, we developed a semi-automatic annotation software designed for efficiently generating annotated lesion images, with applications in HNC research and diagnosis. The findings indicated that this software surpasses conventional tools, particularly in the context of HNC-specific annotation with 18F-FDG PET/CT data. Consequently, developed software offers a robust solution for producing annotated datasets, driving advances in the studies and diagnosis of HNC.

Chest Radiographic and CT Findings of the 2019 Novel Coronavirus Disease (COVID-19): Analysis of Nine Patients Treated in Korea

  • Soon Ho Yoon;Kyung Hee Lee;Jin Yong Kim;Young Kyung Lee;Hongseok Ko;Ki Hwan Kim;Chang Min Park;Yun-Hyeon Kim
    • Korean Journal of Radiology
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    • 제21권4호
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    • pp.494-500
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    • 2020
  • Objective: This study presents a preliminary report on the chest radiographic and computed tomography (CT) findings of the 2019 novel coronavirus disease (COVID-19) pneumonia in Korea. Materials and Methods: As part of a multi-institutional collaboration coordinated by the Korean Society of Thoracic Radiology, we collected nine patients with COVID-19 infections who had undergone chest radiography and CT scans. We analyzed the radiographic and CT findings of COVID-19 pneumonia at baseline. Fisher's exact test was used to compare CT findings depending on the shape of pulmonary lesions. Results: Three of the nine patients (33.3%) had parenchymal abnormalities detected by chest radiography, and most of the abnormalities were peripheral consolidations. Chest CT images showed bilateral involvement in eight of the nine patients, and a unilobar reversed halo sign in the other patient. In total, 77 pulmonary lesions were found, including patchy lesions (39%), large confluent lesions (13%), and small nodular lesions (48%). The peripheral and posterior lung fields were involved in 78% and 67% of the lesions, respectively. The lesions were typically ill-defined and were composed of mixed ground-glass opacities and consolidation or pure ground-glass opacities. Patchy to confluent lesions were primarily distributed in the lower lobes (p = 0.040) and along the pleura (p < 0.001), whereas nodular lesions were primarily distributed along the bronchovascular bundles (p = 0.006). Conclusion: COVID-19 pneumonia in Korea primarily manifested as pure to mixed ground-glass opacities with a patchy to confluent or nodular shape in the bilateral peripheral posterior lungs. A considerable proportion of patients with COVID-19 pneumonia had normal chest radiographs.

Iterative Metallic Artifact Reduction 알고리즘 적용 CT 재구성영상의 CT Number 변화율 분석 (The Analysis of CT Number Rate of Change of Applying The Iterative Metallic Artifact Reduction Algorithm for CT Reconstruction Image)

  • 김현주;윤준
    • 한국산학기술학회논문지
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    • 제18권7호
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    • pp.84-91
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    • 2017
  • 본 연구는 컴퓨터 단층촬영 영상에서 제거할 수 없는 의료용 고밀도 물질을 Somatom Definition Flash(Siemens, Enlarge, Germany.)와 GE 64-MDCT (Discovery 750 HD, GE HEALTHCARE, Milwaukee, USA.)스캔 후 획득한 팬텀영상 데이터와 이미 촬영된 Raw 데이터영상을 이용하여 IMAR 알고리즘과 MAR 알고리즘 적용 및 재구성한 후 CT 재구성영상의 CT Number 변화율을 정량적으로 분석하였다. 그 결과 팬텀영상의 모든 의료용 고밀도 물질은 IMAR 알고리즘과 MAR 알고리즘 적용 시 CT Number의 변화와 영상의 차이가 있는 것으로 나타났지만(p<0.05). Stainless Steel 재질은 Black streak artifact에서 MAR 또는 IMAR 알고리즘 적용 시 재구성 영상의 변화와 CT Number의 변화차이가 없는 것으로 분석되었다(p>0.05). 또한 이미 촬영된 Raw 데이터영상 분석결과 IMAR 알고리즘 적용 시 적용 전에 비하여 영상 CT Number 변화가 있어, IMAR 알고리즘 적용은 Attenuation deviation에 영향을 미치는 것을 알 수 있었다. 이 결과를 바탕으로 향후 Implant시술 후 추적 CT검사 시 수술부위 및 주변조직의 상태를 관찰하는데 유용할 것으로 사료된다.

흉부 CT 영상에서 폐 결절 검출을 위한 Log-polar Sampling기반 Voxel Classification 방법 (Log-polar Sampling based Voxel Classification for Pulmonary Nodule Detection in Lung CT scans)

  • 최욱진;최태선
    • 한국정보전자통신기술학회논문지
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    • 제6권1호
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    • pp.37-44
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    • 2013
  • 본 논문에서는 voxel classification을 이용한 폐 결절 자동 검출 시스템을 제안한다. 제안하는 폐 영상 분석 방법은 크게 세 단계로 구성된다. 첫 번째 단계에서는 분석 대상 폐 영역을 분할한다. 그리고 두 번째 단계는 분할된 폐 영역 내에서 폐 구조물을 분할한다. 마지막으로 두 번째 과정에서 분할된 폐결절후보와 폐혈관 voxel을 대상으로 log-polar sampling을 이용한 특징 벡터를 만들고, 특징벡터를 입력 값으로 하여 support vector machine classifier를 이용하여 분석대상 voxel을 폐 결절 voxel과 비결절 voxel로 구분하여 폐 결절을 검출한다.

흉부 CT영상에서 계층적 삼차원 블록 분석을 이용한 폐결절 검출 (Pulmonary Nodule Detection based on Hierarchical 3D Block Analysis in Chest CT scans)

  • 최욱진;최태선
    • 한국정보전자통신기술학회논문지
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    • 제5권1호
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    • pp.13-19
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    • 2012
  • 본 논문에서는 계층적 삼차원 블록 영상분석을 이용한 폐결절 자동 검출 방법을 제안한다. 제안하는 블록 기반 폐 영상 분석 방법은 크게 두 부분으로 나눌 수 있다. 첫 번째는 블록을 분할하고 분석하고자 하는 대상 블록을 선택하는 과정이며 두 번째는 선택된 분석 대상 블록을 분석하는 과정이다. 첫 번째 과정을 통하여 선택된 분석대상 블록들은 다음 단계인 분석과정을 통해 결절과 비결절로 분리될 수 있다. 분석대상 블록의 중심에 있는 object에서 분석을 위한 형태 특징을 추출 하고, 추출된 형태 특징 값을 Support Vector Machine을 이용하여 결절과 비 결절로 분리한다.

Computer Tomography and Magnetic Resonance Image Manifestations of Primary Hepatic Neuroendocrine Cell Carcinomas

  • Huang, Juan;Yu, Jian-Qun;Sun, Jia-Yu
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권6호
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    • pp.2759-2764
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    • 2014
  • Aim: This study aims to investigate the manifestation of CT, MRI and dynamic enhanced scans for primary hepatic neuroendocrine cell carcinoma. Methods: CT or MRI arterial and venous phase scan images of 19 cases of pathologically confirmed PHNEC were retrospectively analyzed. Results: 14 cases (73.68%) with single lesion, 5 cases (26.3%) with multiple lesions, with an average diameter of 13.2 cm. Some 12 cases (63.16%) showed inhomogeneous enhancement, seven cases (36.8%) showed homogeneous enhancement, 13 cases (68.4%) demonstrated significant enhancement in the arterial phase, 13 cases (68.4%) had significantly enhanced portal venous phase including 7 cases (36.8 %) with portal venous phase density or signal above the arterial phase and 5 cases (26.3%) with the portal vein density or signal below the arterial phase. Seven cases (36.8%) had continued strengthened separate shadows in the center of the lesion. Thrombosis were not seen in portal veins. Conclusion: CT and MRI images of liver cell neuroendocrine carcinoma have certain characteristics that can provide valuable information for diagnosis and differential diagnosis.