• 대한두개안면성형외과학회지
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• 제25권3호
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• pp.141-144
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• 2024

A 76-year-old woman, initially thought to have a simple abscess on her right upper eyelid, presented to our department of plastic and reconstructive surgery. Enhanced three-dimensional facial computed tomography (CT) revealed an abscess on the right upper lid, with a pyomucocele present in the right frontal sinus, accompanied by bone erosion in the superior wall of the right orbit. Based on the results of the CT scan, we diagnosed an atypical Pott's puffy tumor (PPT) with an abscess on the upper lid originating from the frontal sinusitis. First, surgical incision and drainage were performed in our department, and a percutaneous vacuum drain was placed. To provide a more definitive treatment, endoscopic sinus surgery (ESS) was subsequently performed by otorhinolaryngologists. The patient was discharged without any complications 5 days after ESS. At a 1-year follow-up, no recurrence or notable neurological symptoms were observed. In the case we observed, the patient presented with an upper eyelid abscess and cellulitis, indicating possible orbital involvement. For such patients, a CT scan is necessary. Given the possibility of PPT, it is critical to perform a comprehensive differential diagnosis rather than defaulting to a straightforward approach involving abscess treatment.

• Korean Journal of Radiology
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• 제24권5호
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• pp.406-423
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• 2023

Diagnosing bowel and mesenteric trauma poses a significant challenge to radiologists. Although these injuries are relatively rare, immediate laparotomy may be indicated when they occur. Delayed diagnosis and treatment are associated with increased morbidity and mortality; therefore, timely and accurate management is essential. Additionally, employing strategies to differentiate between major injuries requiring surgical intervention and minor injuries considered manageable via non-operative management is important. Bowel and mesenteric injuries are among the most frequently overlooked injuries on trauma abdominal computed tomography (CT), with up to 40% of confirmed surgical bowel and mesenteric injuries not reported prior to operative treatment. This high percentage of falsely negative preoperative diagnoses may be due to several factors, including the relative rarity of these injuries, subtle and non-specific appearances on CT, and limited awareness of the injuries among radiologists. To improve the awareness and diagnosis of bowel and mesenteric injuries, this article provides an overview of the injuries most often encountered, imaging evaluation, CT appearances, and diagnostic pearls and pitfalls. Enhanced diagnostic imaging awareness will improve the preoperative diagnostic yield, which will save time, money, and lives.

• 대한영상의학회지
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• 제82권5호
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• pp.1196-1206
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• 2021

목적 간 종양의 조영증강 컴퓨터단층촬영(이하 CT) 영상에 관한 인공지능 알고리즘의 성능과 안전성을 검증할 수 있는 표준 테스팅 데이터셋을 구축하고자 하였다. 대상과 방법 국내 4개 3차 의료기관의 복부 영상의학 전문가 4인이 모여 간 종양 진단 알고리즘의 성능과 안전성을 검증하기 위해 표준 데이터셋이 갖춰야 할 조건을 논의하였다. 각 기관마다 간세포암 75예, 전이암 75예, 그리고 양성 병변 30-50예씩 수집하여, 총 783명 환자의 CT 영상을 대상으로 하였다. 간세포암과 전이암의 경우 병리학적으로 확진된 경우만을 대상으로 하였다. 각 기관의 복부 영상의학 전문가들이 직접 환자의 임상정보를 추출하고 CT 영상에 관한 데이터 라벨링(labeling)을 수기로 시행하였다. CT 영상은 의료용 디지털 영상 및 통신(Digital Imaging and Communications in Medicine, DICOM) 파일로 저장하였다. 결과 복부 영상의학 전문가들이 수기 데이터 라벨링을 시행한 총 783 증례의 간 종양 조영증강 CT의 표준 데이터셋을 구축하였다. 알고리즘의 성능 및 안전성은 병변의 발견 여부 및 특성화의 정확도에 대해 민감도와 특이도를 계산하여 평가할 수 있다. 결론 본 연구에서 구축한 간 종양 조영증강 CT 영상의 표준 데이터셋은 임상의학 결정 지원시스템을 위한 기계학습 기반 인공지능 알고리즘을 평가하는 데에 활용될 수 있다.

• Korean Journal of Radiology
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• 제24권4호
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• pp.294-304
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• 2023

Objective: We aimed to investigate whether image standardization using deep learning-based computed tomography (CT) image conversion would improve the performance of deep learning-based automated hepatic segmentation across various reconstruction methods. Materials and Methods: We collected contrast-enhanced dual-energy CT of the abdomen that was obtained using various reconstruction methods, including filtered back projection, iterative reconstruction, optimum contrast, and monoenergetic images with 40, 60, and 80 keV. A deep learning based image conversion algorithm was developed to standardize the CT images using 142 CT examinations (128 for training and 14 for tuning). A separate set of 43 CT examinations from 42 patients (mean age, 10.1 years) was used as the test data. A commercial software program (MEDIP PRO v2.0.0.0, MEDICALIP Co. Ltd.) based on 2D U-NET was used to create liver segmentation masks with liver volume. The original 80 keV images were used as the ground truth. We used the paired t-test to compare the segmentation performance in the Dice similarity coefficient (DSC) and difference ratio of the liver volume relative to the ground truth volume before and after image standardization. The concordance correlation coefficient (CCC) was used to assess the agreement between the segmented liver volume and ground-truth volume. Results: The original CT images showed variable and poor segmentation performances. The standardized images achieved significantly higher DSCs for liver segmentation than the original images (DSC [original, 5.40%-91.27%] vs. [standardized, 93.16%-96.74%], all P < 0.001). The difference ratio of liver volume also decreased significantly after image conversion (original, 9.84%-91.37% vs. standardized, 1.99%-4.41%). In all protocols, CCCs improved after image conversion (original, -0.006-0.964 vs. standardized, 0.990-0.998). Conclusion: Deep learning-based CT image standardization can improve the performance of automated hepatic segmentation using CT images reconstructed using various methods. Deep learning-based CT image conversion may have the potential to improve the generalizability of the segmentation network.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• 제7권2호
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• pp.248-252
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• 2004

Wandering spleen is a rare condition characterized by migration of the spleen from its normal position due to laxity or absence of the supporting splenic ligaments. Ultrasonography shows the absence of the spleen in left upper quadrant (LUQ) and the presentation in the lower abdomen of a homognous mass whose sonographic appearance is consistent with that of a spleen. Contrast-enhanced CT reveals the absence of the spleen in LUQ, a soft tissue mass resembling spleen in the lower abdomen, and the splenic pedicle of whirled appearance. We present a case of wandering spleen, which could be diagnosed with US and CT by the ectopic location of spleen and the whirling pattern of splenic pedicle.

• 한국정보디스플레이학회:학술대회논문집
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• 한국정보디스플레이학회 2009년도 9th International Meeting on Information Display
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• pp.346-349
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• 2009

We investigated the doping effects of $ReO_3$ in different p-type organic semiconductors on the formation of charge transfer complexes and the electrical conductivity by comparing the absorption in ultraviolet-visible-nearinfrared (UV-Vis-NIR) and the current density-voltage characteristics of the hole only devices, respectively. The large energy difference between the HOMO level of host and Fermi energy level of dopant (${\Delta}E$=$E_{HOHO,host}$ - $E_{F,dopant}$) gives higher concentration of CT complexes and enhanced conductivity.

• ETRI Journal
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• 제30권4호
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• pp.535-545
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• 2008

This paper introduces a systematic top-down and bottom-up design methodology to assist the designer in the implementation of continuous-time (CT) cascade sigma-delta (${\Sigma}{\Delta}$) modulators. The salient features of this methodology are (a) flexible behavioral modeling for optimum accuracy-efficiency trade-offs at different stages of the top-down synthesis process, (b) direct synthesis in the continuous-time domain for minimum circuit complexity and sensitivity, (c) mixed knowledge-based and optimization-based architectural exploration and specification transmission for enhanced circuit performance, and (d) use of Pareto-optimal fronts of building blocks to reduce re-design iterations. The applicability of this methodology will be illustrated via the design of a 12-bit 20 MHz CT ${\Sigma}{\Delta}$ modulator in a 1.2 V 130 nm CMOS technology.

• 한국수소및신에너지학회논문집
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• 제27권5호
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• pp.612-619
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• 2016

Pitch synthesis reaction was studied based on the effect for chemical composition of feedstock. Feedstock was selected as pyrolyzed fuel oil (PFO) and coal-tar (CT), which are by-products in petroleum and steel industry. Pitch was prepared at $420^{\circ}C$ for 180 minutes on atmospheric pressure by thermal treatment. Thermal stability and softening point (SP) of the prepared pitches were investigated and their molecular weight distribution was analyzed by MALDI-TOF. PFO has various aliphatic compounds and coal-tar has high aromaticity with 3 wt% of primary quinoline insolubles. The thermal property of PFO was enhanced with polymerization reaction during the thermal treatment with increased molecular weight range. But CT was inferior to PFO because of side reaction by hetero elements. CTP was appeared molecular weight by 0~200 m/z.

• Journal of Chest Surgery
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• 제22권3호
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• pp.468-472
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• 1989

Bronchogenic cysts are uncommon congenital lesions which are derived from primitive foregut. Most of the bronchogenic cysts may occur at the tracheal bifurcation, both main bronchi, the lung parenchyme and the mediastinum. We experienced a case of bronchogenic cyst with a esophageal stalk. The diagnosis was made by simple chest x-ray and confirmed by bronchoscopy and chest CT. On the chest CT findings, 6.8X4.8 cm-sized oval shaped mass was located on the right posteroinferior side of the carina, elevating the right main bronchus and the thin wall of the mass was enhanced with contrast materials. On the operative findings, the esophagus and the cyst were connected with a stalk and the cyst was filled with mucinous materials. And on the histological findings, the mass was lined with pseudostratified ciliated columnar epithelium. Thus we report this case of bronchogenic cyst with review of literatures.

• 한국시뮬레이션학회:학술대회논문집
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• 한국시뮬레이션학회 2003년도 추계학술대회 및 정기총회
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• pp.201-206
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• 2003

In clinical practice, CT Angiography is a powerful technique for the visualziation of blood flow in arterial vessels throughout the body. However CT Angiography images of blood vessels anywhere in the body may be fuzzy if the patient moves during the exam. In this paper, we propose a novel technique for removing global motion artifacts in the 3D space. The proposed methods are based on the two key ideas as follows. First, the method involves the extraction of a set of feature points by using a 3D edge detection technique based on image gradient of the mask volume where enhanced vessels cannot be expected to appear, Second, the corresponding set of feature points in the contrast volume are determined by correlation-based registration. The proposed method has been successfully applied to pre- and post-contrast CTA brain dataset. Since the registration for motion correction estimates correlation between feature points extracted from skull area in mask and contrast volume, it offers an accelerated technique to accurately visualize blood vessels of the brain.