우옥희 교수
Ok Hee Woo
고려대학교 영상의학과 · 의학
연구실 소개
우옥희 교수의 연구실은 의료 영상 진단의 정밀도를 높이기 위한 인공지능 기반 영상 분석 기술과 다학제적 영상유전자학( radiomics )을 중심으로 연구를 진행하고 있습니다. 특히 저선량 CT를 활용한 골다골증 스크리닝, 유방 MRI를 통한 전이 림프절 예측 모델 개발, 흉부 신경성 종양 및 희귀 종양의 영상학적 특성 분석에 초점을 맞추고 있습니다. 영상의학과 영상의학의 정밀화와 개인화된 진료를 위한 기반 기술을 개발하고 있습니다.
연구 현황
연구 성과 추이
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
주요 논문
15To evaluate diagnostic efficacy of deep learning (DL)-based automated bone mineral density (BMD) measurement for opportunistic screening of osteoporosis with routine computed tomography (CT) scans. A DL-based automated quantitative computed tomography (DL-QCT) solution was evaluated with 112 routine clinical CT scans from 84 patients who underwent either chest (N:39), lumbar spine (N:34), or abdominal CT (N:39) scan. The automated BMD measurements (DL-BMD) on L1 and L2 vertebral bodies from DL-Q
BACKGROUND: In diffusion-weighted imaging (DWI) of breast MRI, simultaneous multislice acceleration techniques can be used for readout-segmented echo planar imaging (rs-EPI) to shorten the scan time. PURPOSE: To compare the image quality, apparent diffusion coefficient (ADC) value, and scan time of rs-EPI and simultaneous multislice rs-EPI (SMS rs-EPI) sequences. STUDY TYPE: Retrospective. SUBJECTS: In all, 134 consecutive women (mean age: 55.3 years) with invasive breast cancer who underwent pr
Respiratory Bronchiolitis-Associated Interstitial Lung Disease in a Nonsmoker: Radiologic and Pathologic FindingsOk Hee Woo1, Hwan Seok Yong1, Yu-Whan Oh1, Sung Yong Lee2, Han Kyeom Kim3 and Eun-Young Kang1Audio Available | Share
A predictive model incorporating breast MRI-derived multiparametric and radiomic features may be valuable in predicting ALNM preoperatively in patients with TNBC.
The purpose of this pictorial essay is to illustrate the radiological and pathological findings of a wide spectrum of neurogenic tumours of the thorax according to their anatomical location and histological subtype. Knowledge of these findings will narrow the differential diagnosis and provide guidance for patient management.
Malignant peripheral nerve sheath tumour (MPNST) is a rare soft tissue sarcoma. In particular, primary MPNST of the breast is extremely rare. We report a case of a giant malignant peripheral nerve sheath tumour involving the entire right breast, which was not associated with neurofibromatosis type 1 (NF-1) or previous radiation therapy. A CT scan showed a huge heterogeneous soft tissue mass with well-enhanced nodules at its periphery and low-density internal necrosis, which was confirmed by modi
This study was done to demonstrate the computed tomography (CT) and pathologic findings of the sequential changes for experimental pulmonary fat embolism (PFE), and to correlate the CT and pathologic findings of rabbit lung. PFE was induced by an intravenous injection of 0.2 mL linoleic acid in 24 rabbits. The rabbits were divided into 4 groups of 6 rabbits each. CT scans were obtained sequentially at 2 hr (n= 24), day 1 (n=18), day 3 (n=12) and day 7 (n=6) after fat embolization. The pathologic
Among artificial intelligence–missed invasive breast cancers on mammograms, the human epidermal growth factor receptor 2–enriched subtype had the lowest false-negative rate, and dense breasts, nonmammary zone locations, architectural distortions, and amorphous microcalcifications were reasons for misses.
This study was done to demonstrate the computed tomography (CT) and pathologic findings of the sequential changes for experimental pulmonary fat embolism (PFE), and to correlate the CT and pathologic findings of rabbit lung. PFE was induced by an intravenous injection of 0.2 mL linoleic acid in 24 rabbits. The rabbits were divided into 4 groups of 6 rabbits each. CT scans were obtained sequentially at 2 hr (n= 24), day 1 (n=18), day 3 (n=12) and day 7 (n=6) after fat embolization. The pathologic
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