• Title/Summary/Keyword: 영상진단

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Detecting the Prostate Boundary with Gabor Texture Features Average Shape Model of TRUS Prostate Image (TRUS 전립선 영상에서 가버 텍스처 특징 추출과 평균형상모델을 적용한 전립선 경계 검출)

  • Kim, Hee Min;Hong, Seok Won;Seo, Yeong Geon;Kim, Sang Bok
    • Journal of Digital Contents Society
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    • v.16 no.5
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    • pp.717-725
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    • 2015
  • Prostate images have been used in the diagnosis of prostate using TRUS images being relatively cheap. Ultrasound images are recorded with 3 dimension and one diagnostic exam is made with a number of the images. A doctor can see 2 dimensional images on the monitor sequentially and 3 dimensional ones to diagnose a disease. To display the images, 2-d images are used with raw 2-d ones, but 3-d images need to be segmented by the prostates and their backgrounds to be seen from different angles and with cut images of inner side. Especially on detecting the boundary, the ones in the middle of all images are easy to find the boundary but the base and apex of the images are hard to do it since there are lots of uncertain boundary. So, in this paper we propose the method that applies an average shape model and detects the boundary, and shows its superiority compared to the existing methods with experiments.

Imaging Features and Pathological Correlation in Mixed Microcystic and Angiomatous Meningioma: A Case Report (미세낭종성 혈관종성 혼합 수막종의 영상 및 병리 소견: 증례 보고)

  • Keonwoo Choi;Dae Yoon Kim;Hyun Jin Kim;Gyojun Hwang;Mi Kyung Kim;Hyun Gon Kim;Soya Paik
    • Journal of the Korean Society of Radiology
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    • v.83 no.4
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    • pp.951-957
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    • 2022
  • Meningiomas are the most common intracranial tumors. However, microcystic and angiomatous meningiomas are very rare subtypes that present unusual imaging findings. Hence, radiological diagnosis of these tumors can be challenging. We herein describe a case of mixed angiomatous and microcystic meningioma in an 81-year-old male. MRI revealed an extra-axial mass with high T2 signal intensity, measuring 1.5 cm in diameter, with multiple tiny intralesional cysts and entrapped peritumoral cyst formation. After tumor resection, a histopathological diagnosis of mixed angiomatous and microcystic meningioma was made.

The Value of Three-Dimensional Reconstructions of MRI Imaging using Maximum Intensity Projection Technique (유방 MRI의 최대강도투사 기법에 의한 3차원 재구성 영상의 유용성)

  • Cho, Jae-Hwan;Lee, Hae-Kag;Hong, In-Sik;Kim, Hyun-Joo;Jang, Hyun-Cheol;Park, Cheol-Soo;Park, Tae-Nam
    • Journal of Digital Contents Society
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    • v.12 no.2
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    • pp.157-164
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    • 2011
  • The purpose of this study was to examine the usefulness of 3D reconstruction images in breast MRI by performing a quantitative comparative analysis in patients diagnosed with DCIS. On a 3.0T MR scanner, subtraction images and 3D reconstruction images were obtained from 20 patients histologically diagnosed with ductal carcinoma in situ (DCIS). The findings from the quantitative image analysis are the following: The 3D reconstruction images showed higher SNR at the lesion area, ductal area, and fat area that of the subtraction image. In addition, the CNR were not significantly different in the lesion area itself between the subtraction images and 3D reconstruction images.

The Usefulness of Ga-67 SPECT Imaging to Detect the Non-Hodgkin's Lymphoma: Comparison with Ga-67 Planar and SPECT Imaging (비호지킨 림프종의 진단에서 갈륨 SPECT의 유용성: 평면영상과 SPECT영상의 비교)

  • Wang, Jing;Bae, Sang-Kyun;Yum, Ha-Yong
    • The Korean Journal of Nuclear Medicine
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    • v.30 no.1
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    • pp.139-144
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    • 1996
  • 갈륨스캔은 여러 종류의 염증성 질환 및 종양을 발견하기 위해 사용되고 있다. 특히 림프종은 갈륨스캔에서 양성율이 비교적 높은 종양으로 알려져 있다. 하지만 기존의 평면 영상만으로는 작은 크기의 종괴나 다른 장기에 의해 가려져 있는 경우에 위음성 결과를 보일 수 있었다. 최근 단일광자 방출 전산화 단층촬영(SPCET)을 도입하여 평면영상에 비해 더 나은 공간해상력으로 많은 정보를 얻고 있다. 저자들은 비호지킨 림프종 환자 30명을 대상으로 갈륨스캔 평면영상과 SPECT 영상을 얻어 비교하였다. 병변의 부위별로 두경부, 흉부, 복부에서 평면영상의 예민도는 각각 71%, 73%, 81%였으며, SPECT 영상의 예민도는 91%, 93%, 96%였다. CT 등 방사선학적 검사소견과 임상소견을 기준으로 하였을 때 위음성율은 평면영상의 경우 24%, SPECT 6.5%였다. 장의 방사능으로 인한 섭취와 폐문부 및 침샘의 비대칭적 섭취로 인한 위양성례가 4예 있었다. 결론적으로 비호지킨 림프종의 진단 및 병기를 결정하는데 있어서 갈륨스캔이 유용하며, SPCET 영상을 얻음으로써 더 나은 해부학적 위치 및 정확한 범위를 보여 줄 수 있을 것으로 생각된다.

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Diagnostic Imaging for Physical Abuse in Children (신체적 학대를 받은 아동의 진단적 영상)

  • Tae Yeon Jeon;So-Young Yoo;Hong Eo;Ji Hye Kim
    • Journal of the Korean Society of Radiology
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    • v.81 no.4
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    • pp.832-851
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    • 2020
  • Physical abuse is a significant cause of morbidity and mortality in the pediatric population. Young children, particularly in the first year of life, are most vulnerable to physical abuse. To evaluate suspected physical abuse, radiologists play a vital role by detecting radiological findings suggestive of physical abuse and differentiating them from other pathologies. This review focuses on radiologic findings, including those for fractures, abusive head trauma, spinal injury, and thoracoabdominal injury, commonly discovered in physically abused children, with special emphasis on biomechanical forces that produce injuries.

Imaging of Scrotal Tumors (음낭 종양의 영상 소견)

  • Seungsoo Lee;Young Taik Oh;Dae Chul Jung
    • Journal of the Korean Society of Radiology
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    • v.82 no.5
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    • pp.1053-1065
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    • 2021
  • Ultrasonography is effective for imaging superficial organs, such as the scrotum. Using a highfrequency transducer, ultrasonography can identify the location and characteristics of scrotal lesions with high accuracy. The primary role of ultrasound (US) in the evaluation of a scrotal mass is to determine if it is intratesticular or extratesticular. Additional clinical information and other imaging options may be needed to diagnose benign tumors and pseudo-tumors. MRI is an effective problem-solving tool in cases with nondiagnostic US findings. CT is helpful for staging testicular cancer and localizing undescended testis. This review covers the imaging features of testicular and extratesticular tumors.

Design and Implementation of Brain MR Image Processing Tool (뇌 MR 영상처리기의 설계 및 구현)

  • 조경은;송미영;조형제
    • Proceedings of the Korea Multimedia Society Conference
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    • 2001.11a
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    • pp.159-164
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    • 2001
  • 본 연구에서 설계하고 구현한 뇌 MR영상 처리기에서는 뇌 MR 영상에서 진단에 필요한 정보들을 자동 추출한다. 의료영상 처리 시에는 수집된 의료영상의 특징을 분석하고 특징들을 분류해야 하며 이를 위해서는 효율적인 특징 추출 알고리즘들 필요하다. 뇌 MR 영상 처리기는 영상의 잡음제거나 영상 강화를 위한 전처리기, 영상의 특징을 추출하기 위한 영역분할기와 전역, 지역 특징 추출기로 구성된다. 뇌 MR 영상 특징 추출을 위한 효율적인 의료영상 처리기의 개발 내용을 기술한다.

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Efficacy of I-123/I-131 Metaiodobenzylguanidine Scan as A Single Initial Diagnostic Modality in Pheochromocytoma: Comparison with Biochemical Test and Anatomic Imaging (갈색세포종의 초기 진단에서 I-123/I-131 Metaiodobenzylguanidine 스캔의 단일 검사로써의 진단 성능: 생화학적 검사, 해부학적 영상과 비교)

  • Moon, Eun-Ha;Lim, Seok-Tae;Jeong, Young-Jin;Kim, Dong-Wook;Jeong, Hwan-Jeong;Sohn, Myung-Hee
    • Nuclear Medicine and Molecular Imaging
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    • v.43 no.5
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    • pp.436-442
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    • 2009
  • Purpose: We underwent this study to evaluate the diagnostic potential of I-123/I-131 metaiodobenzylguanidine (MIBG) scintigraphy alone in the initial diagnosis of pheochromocytoma, compared with biochemical test and anatomic imaging. Materials & Methods: Twenty two patients (M:F=13:9, Age: $44.3{\pm}\;19.3$ years) having the clinical evaluation due to suspicious pheochromocytoma received the biochemical test, anatomic imaging modality (CT and/or MRI) and I-123/I-131 MIBG scan for diagnosis of pheochromocytoma, prior to histopathological confirmation. MIBG scans were independently reviewed by 2 nuclear medicine physicians. Results: All patients were confirmed histopathologically by operation or biopsy (incisional or excisonal). In comparison of final diagnosis and findings of each diagnostic modality, the sensitivities of the biochemical test, anatomic imaging, and MIBG scan were 88.9%, 55.6%, and 88.9%, respectively. And the specificities of the biochemical test, anatomic imaging, and MIBG scan also were 69.2%, 69.2%, and 92.3%, respectively. MIBG scan showed one false positive (neuroblastoma) and one false negative finding. There was one patient with positive MIBG scan and negative findings of the biochemical test, anatomic imaging. Conclusion: Our data suggest that I-123/I-131 MIBG scan has higher sensitivity, specificity, positive predictive value, negative predictive value and accuracy than those of biochemical test and anatomic imaging. Thus, we expect that MIBG scan is e tectively used for initial diagnosis of pheochromocytoma alone as well as biochemical test and anatomic imaging.

Radiation Dose Reduction in Digital Mammography by Deep-Learning Algorithm Image Reconstruction: A Preliminary Study (딥러닝 알고리즘을 이용한 저선량 디지털 유방 촬영 영상의 복원: 예비 연구)

  • Su Min Ha;Hak Hee Kim;Eunhee Kang;Bo Kyoung Seo;Nami Choi;Tae Hee Kim;You Jin Ku;Jong Chul Ye
    • Journal of the Korean Society of Radiology
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    • v.83 no.2
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    • pp.344-359
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    • 2022
  • Purpose To develop a denoising convolutional neural network-based image processing technique and investigate its efficacy in diagnosing breast cancer using low-dose mammography imaging. Materials and Methods A total of 6 breast radiologists were included in this prospective study. All radiologists independently evaluated low-dose images for lesion detection and rated them for diagnostic quality using a qualitative scale. After application of the denoising network, the same radiologists evaluated lesion detectability and image quality. For clinical application, a consensus on lesion type and localization on preoperative mammographic examinations of breast cancer patients was reached after discussion. Thereafter, coded low-dose, reconstructed full-dose, and full-dose images were presented and assessed in a random order. Results Lesions on 40% reconstructed full-dose images were better perceived when compared with low-dose images of mastectomy specimens as a reference. In clinical application, as compared to 40% reconstructed images, higher values were given on full-dose images for resolution (p < 0.001); diagnostic quality for calcifications (p < 0.001); and for masses, asymmetry, or architectural distortion (p = 0.037). The 40% reconstructed images showed comparable values to 100% full-dose images for overall quality (p = 0.547), lesion visibility (p = 0.120), and contrast (p = 0.083), without significant differences. Conclusion Effective denoising and image reconstruction processing techniques can enable breast cancer diagnosis with substantial radiation dose reduction.