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Sumin Song

Ewha Womans University · Medicine

About the Lab

Professor Sumin Song's research lab specializes in medical image analysis and computational modeling, with a focus on advancing diagnostic and visualization techniques for biomedical applications. The lab develops innovative algorithms for tumor segmentation in low-resolution PET and phase-contrast microscopy images, emphasizing accurate boundary detection and long-term live-cell imaging without phototoxicity. Additionally, the lab contributes to 3D visualization and modeling of anatomical structures, such as fetal ultrasound and coronary arteries, using efficient volume rendering and parametric modeling techniques. Their work bridges medical imaging, data mining, and computational modeling to support clinical decision-making and biological research.

medical image analysistumor segmentation3D vascular modelingphase-contrast microscopyvolume rendering

Research Overview

Papers
15
Total Citations
83
Papers (5y)
11
Primary Field
Medicine

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
11total
2006
2007
2009
2010
2012
Citations per year (5y)
63total
20062007200920102012

Selected Papers

15
2
Article|10 citations·2005
한국 성인 중 다빈도 외식소비자의 예측모형 개발: 데이터마이닝을 이용한 2001 국민건강·영양조사 자료 분석
강승호, 윤지현, 정상진, 송수민, 류시현

The objective of this study was to develop a model for predicting Korean adult consumers who frequently eat food-away-from-home. A total of 7,032 adults aged 19 years and older from the 2001 National Health and Nutrition Survey in Korea were used as subjects. The data were analyzed using a data mining procedure including logistic regression and decile analysis. The model developed in the study was proven to be valid in predicting the consumers who frequently eat food-away-from home(once a day or

3
Article|10 citations·2005
Tumor segmentation from small animal PET using region growing based on gradient magnitude
Yu-Bu Lee, Soo-Min Song, Jaesung Lee, Myoung-Hee Kim

In this paper, we present a region growing algorithm based on gradient magnitude for tumor segmentation from small animal PET images. The segmentation of PET images with low spatial resolution and high variations of intensity is more difficult than images with high resolution. Especially, it is not easy to detect the boundary between region of interest and abutting regions with similar intensity. We propose a region growing algorithm to extract tumor from adjacent regions with similar intensity

Radiology, Nuclear Medicine and ImagingMedicine
4
Article|8 citations·2012
Cell morphology classification in phase contrast microscopy image reducing halo artifact
Mi-Sun Kang, Soo-Min Song, Hana Lee, Myoung‐Hee Kim
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE

Since the morphology of tumor cells is a good indicator of their invasiveness, we used time-lapse phase-contrast microscopy to examine the morphology of tumor cells. This technique enables long-term observation of the activity of live cells without photobleaching and phototoxicity which is common in other fluorescence-labeled microscopy. However, it does have certain drawbacks in terms of imaging. Therefore, we first corrected for non-uniform illumination artifacts and then we use intensity dist

Atomic and Molecular Physics, and OpticsPhysics and Astronomy
5
Book Chapter|3 citations·2007
Coregistration of Small Animal PET and Autoradiography for in vivo–ex vivo Comparison
Soo-Min Song, Minjeong Kim, Joung-Min Lee, Hye-Jin Park, KyeongMin Kim, Gi Jeong Cheon, Myoung‐Hee Kim
SJR Q2Lecture notes in computer scienceOA
Radiology, Nuclear Medicine and ImagingMedicine
6
Book Chapter|3 citations·2010
Stitching of Microscopic Images for Quantifying Neuronal Growth and Spine Plasticity
Soo-Min Song, Jeany Son, Myoung‐Hee Kim
SJR Q2Lecture notes in computer science
Computer Vision and Pattern RecognitionComputer Science
7
Article|1 citations·2012
Quantitative tracking of tumor cells in phase-contrast microscopy exploiting halo artifact pattern
Mi-Sun Kang, Soo-Min Song, Hana Lee, Myoung‐Hee Kim
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE

Tumor cell morphology is closely related to its invasiveness characteristics and migratory behaviors. An invasive tumor cell has a highly irregular shape, whereas a spherical cell is non-metastatic. Thus, quantitative analysis of cell features is crucial to determine tumor malignancy or to test the efficacy of anticancer treatment. We use phase-contrast microscopy to analyze single cell morphology and to monitor its change because it enables observation of long-term activity of living cells with

BiophysicsBiochemistry, Genetics and Molecular Biology
8
Book Chapter|1 citations·2007
Tumor detection from small animal PET using clustering based on intensity and connectivity
Joung-Min Lee, Soo-Min Song, KyeongMin Kim, Myoung‐Hee Kim
Radiology, Nuclear Medicine and ImagingMedicine
9
Article|1 citations·2007
고속 초음파 태아영상 볼륨 가시화를 위한 공간도약 거리변환 비교
박혜진, 송수민, 김명희

초음파 태아 영상의 실시간 입체 가시화를 위한 볼륨 렌더링 가속화 방법은 결과영상에 영향을 끼치지 않는 관심객체영역 외 빈공간을 샘플링 연산에서 제외시키는 공간도약 알고리즘이 일반적이다. 공간도약시 전처리과정에서 각 복셀에서 가장 가까이에 있는 객체의 경계복셀까지의 거리를 미리 계산저장한 거리지도를 이용하면, 반복적 샘플링 연산을 줄임으로써 렌더링 속도 효율을 높일 수 있다. 거리지도 생성에 사용되는 여러 거리계산변환법 중 거리계산이 정교할수록 실수계산으로 인한 전처리시간이 소요되는 반면, 근사계산법을 이용하면 거리값 연산의 오차로 인한 샘플링의 횟수가 증가하는 단점이 있다. 본 논문에서는 전처리시간의 지연과 샘플링 횟수의 증가를 비교하여 초음파 태아 영상의 볼륨 렌더링에 가장 적합한 거리지도를 선택한다.

10
Book Chapter|0 citations·2009
Atlas Guided Identification of Multiple Abdominal Organs in Small Animal PET
Soo-Min Song, Myoung‐Hee Kim
World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany
Radiology, Nuclear Medicine and ImagingMedicine
11
Article|0 citations·2005
3D+t 관상동맥표현을 위한 매개변수 모델링
송수민, 이유부, 최유주, 김명희

본 논문은 관상동맥의 구조와 그 움직임을 사실적으로 표현하기 위한 매개변수적 모델링기법을 제안한다. 매개변수적 기법으로 생성된 모델은 메쉬 정점의 인덱스만으로 모델간 매칭을 위한 대응점을 찾을 수 있으므로, 시간대별로 달라지는 정점의 위치를 쉽게 추적함으로써 모델의 움직임을 표현할 수 있다. 그러나 이러한 기법으로 생성된 모델은 분리, 접합 등의 변형·조작이 어렵고, 트리형태 객체에 적용하기 힘든 단점이 있다. 본 논문에서는 이를 극복하기 위해 분할된 혈관영역의 골격데이타에서 찾아낸 분기점을 중심으로 Generalized Cylinder 를 이용하여 실린더 형태의 각 혈관세그먼트를 모델링 한 후, 분기영역을 3 개의 하프파이프(half pipe)와 2 개의 삼각형 패치로 연결하여 모델링하였다. 완성된 모델은 다시점 관상동맥데이터에 적용하였고, 각 시점에서 구해진 정점의 위치를 선형보간함으로써 부드러운 혈관의 움직임을 나타내었다.

12
Article|0 citations·2007
Comparison of Distance Transforms in Space-leaping for High Speed Fetal Ultrasound Volume Visualization
Hye-Jin Park, Soo-Min Song, Myoung‐Hee Kim
Journal of the Korea Society for Simulation

In real time rendering of fetus the empty space leaping while traversing a ray is most frequently used accelerating technique. The main idea is to skip empty voxel samples which do not contribute the result image and it speeds up the rendering time by avoiding sampling data while traversing a ray in the empty region, saving a substantial number of interpolations. Calculating the distance from the nearest object boundary for every yokel can reduce the sampling operation. Among widely-well-known d

Pediatrics, Perinatology and Child HealthMedicine
13
Book Chapter|0 citations·2010
Segmentation of Abdominal Organs Incorporating Prior Knowledge in Small Animal CT
Soo-Min Song, Myoung‐Hee Kim
SJR Q2Lecture notes in computer science
Computer Vision and Pattern RecognitionComputer Science
14
Article|0 citations·2004
Reconstruction and navigation of carotid artery based on ultrasonic volume data
Yoo-Joo Choi, Soo-Min Song, Hyun-Joo Yun, Byoung-Joo Kwak, Myoung‐Hee Kim
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE

In this paper, we introduce new diagnosis tool to observe carotid artery based on ultrasonic volume data. The main components and applied algorithms of the developed diagnosis tool are explained. As one of main components, the semi-automatic segmentation method includes an effective speckle reducing filter and an automatic ROI tracking scheme. Furthermore, we present the reconstruction method that is effective for Y-typed carotid artery and the navigation path generation method that applies inte

Pulmonary and Respiratory MedicineMedicine
15
Article|0 citations·2006
Design and Implementation of Bioluminescence Signal Analysis Tool
Hye-Jin Jeong, Byeong-Il Lee, Hae-Gil Hwang, Soo-Min Song, Jung‐Joon Min, Heung‐Kook Choi
Journal of Korea Multimedia Society

The term molecular imaging can be broadly defined as the in vivo characterization and measurement of biologic processes at the cellular and molecular level. Optical imaging that has highly reproducibility and repetition used in molecular imaging research. in the bioluminescence imaging, animals currying the luciferase gene arc imaged with a cooled CCD(Charge-Coupled Device) camera to pick up the small number of photons transmitted through tissues. Molecular imaging analysis will allow us to obse

Urban StudiesSocial Sciences

Research Areas

Radiology, Nuclear Medicine and ImagingComputer Vision and Pattern RecognitionAtomic and Molecular Physics, and OpticsBiophysicsPediatrics, Perinatology and Child HealthPulmonary and Respiratory Medicine

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