• Proceedings of the Korean Information Science Society Conference
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• 2002.10d
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• pp.436-438
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• 2002

가상내시경에서 효과적인 진단과 사용자의 편의를 위해서는 자동순항(navigation) 기능이 필요하다. 자동순항을 위해서는 장기의 내벽과 충돌을 피하면서 부드럽게 카메라의 이동방향을 전환할 수 있어야 한다. 본 논문에서는 광선추적법(ray-casting)에 기반한 충돌회피기법과 그를 이용한 효율적인 순항 방법을 제안한다.

• Journal of KIISE:Computer Systems and Theory
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• v.32 no.10
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• pp.530-540
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• 2005

Virtual colonoscopy is an easy and fast method to reconstruct the shape of colon and diagnose tumors inside the colon based on computed tomography images. This is a non-invasive method, which resolves weak points of previous invasive methods. The path for virtual colonoscopy should be generated rapidly and accurately for clinical examination. However, previous methods are computationally expensive because the data structure such as distance map should be constructed in the preprocessing and positions of all the points of the path needs to be calculated. In this paper, we propose the automatic path generation method based on visibility to decrease path generation time. The proposed method does not require preprocessing and generates small number of control points representing the Path instead of all points to generate the path rapidly. Also, our method generates the path based on visibility so that a virtual camera moves smoothly and a comfortable and accurate path is calculated for virtual navigation. Also, our method can be used for general virtual navigation of various kinds of pipes.

• The KIPS Transactions:PartB
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• v.10B no.5
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• pp.509-514
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• 2003

The virtual bronchoscopy was implemented using chest CT images to visualize inside of tracheo-bronchial wall. The optical endoscopy procedures are invasive, uncomfortable for patients and sedation or anesthesia may be required. Also, they have serious side effects such as perforation, infection and hemorrhage. In order to determine the navigation path, we segmented the tracheo-bronchial wall from the chest CT image. We used the coordinates as a navigation path for virtual camera that were calculated from medial axis transformation. We used the perspective projection and marching cube algorithm to render the surface from volumetric CT image data. The tracheobronchial disease was classified into tracheobronchial stenosis causing from inflammation or lung cancer, bronchiectasis and bronchial cancer. The virtual bronchoscopy is highly recommended as a diagnosis tool with which the specific place of tracheobronchial disease can be identified and the degree of tracheobronchial disease can be measured qualitatively, Also, the virtual bronchoscopy can be used as an education and training tool for endoscopist and radiologist.

• Journal of the Korean Society of Radiology
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• v.1 no.2
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• pp.23-30
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• 2007

This paper presents a method of generating 3-dimensional images by preprocessing 2-dimensional abdominal images obtained using CT (computed tomography) and MRI (magnetic resonance imaging) through segmentation, threshold technique, etc. and apply the method to virtual endoscopy. Three-dimensional images were visualized using indirect volume rendering, which can render at high speed using a general-purpose graphic accelerator used in personal computers. The algorithm used in the rendering is Marching Cubes, which has only a small volume of calculation. In addition, we suggested a method of producing 3-dimensional images in VRML (virtual reality modeling language) running on the Web browser without a workstation or an exclusive program. The number of nodes, the number of triangles and the size of a 3-dimensional image file from CT were 85,367, 174,150 and 10,124, respectively, and those from MRI were 34,029, 67,824 and 3,804, respectively.

• Journal of KIISE:Computer Systems and Theory
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• v.29 no.8
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• pp.463-471
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• 2002

In order to implement virtual endoscopy, high-speed rendering algorithm that generates accurate perspective projection images and efficient collision detection method are essential. In this paper we propose an efficient virtual endoscopy system based on volume rendering technique. It is possible to skip over empty (transparent) space using the distance value produced in preprocessing time, and it does not deteriorate image quality since it is an extension of ray-casting. It also accelerates rendering speed with minimal loss of image quality by adjusting sampling interval along a ray according to direction of the ray. Using the distance information, we can simplify the collision detection of volumetric objects.

• Journal of Biomedical Engineering Research
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• v.24 no.2
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• pp.69-75
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• 2003

Virtual colonoscopy is one of the Powerful tool for non-invasive colon examination and many in-vitro and in-vivo studies have shown its accuracy in Polyp or adenoma detection. But most of virtual colonoscopy requires high quality workstation and software and its cost is high to setup whole system. We developed PC-based 3D model creation and navigation program which has diverse functions. It can be easily installed to PC and connected to network system. The performance. when used as a virtual colonoscopy. is evaluated by calculating sensitivity of detection for the simulated polyp which is artificially made inside the Pig's colon and checked its clinical feasibility, Its total sensitivity is 76%. Grouping according to Polyps diameter, the sensitivity for detection of polyps 10 ㎜ or larger was 100%(40 of 40); 5.0-9.9 ㎜, 90.0(90 of 100): and smaller then 5 ㎜. 36.7%(22 of 60).

• Korean Journal of Bronchoesophagology
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• v.17 no.2
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• pp.108-111
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• 2011

Epiglottic cysts cause stridor mimicking asthma and hinder intubation in surgery. A huge cyst can obstruct the airway, making laryngeal examinations impossible. Before surgery, complete visualization of the larynx is necessary for the successful excision of a cyst. If laryngeal examination fails, computed tomography (CT) scanning can provide detailed information. Virtual endoscopy based on CT data reconstruction can yield a detailed three-dimensional image of the larynx. Here, we report two cases of epiglottic cysts along with virtual endoscopic findings and surgical photographs.

• Proceedings of the KIEE Conference
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• 2000.07d
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• pp.3245-3247
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• 2000

We present an interactive virtual bronchoscopy method, which uses a tree structure of the objects and physically based camera control model. The proposed method archieves faster response by rendering only visible branches using the tree structure of the bronchus. A collision detection algorithm supplies a convenient and intuitive mechanism for examining the bronchus inner surface while a voiding collisions. We have improved the performances of navigation speed in virtual bronchoscopy.

• Proceedings of the KIEE Conference
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• 2003.11c
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• pp.460-463
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• 2003

의료영상에서의 혈관의 분할은 심혈관계질환의 진단 및 시술을 위한 3차원 가시화 및 가상내시경을 하기위한 필수 선행 단계로 이에 대한 연구가 많이 이루어 지고 있다. 조영제를 투여한 환자의 CT데이터에서 혈관분할의 가장 큰 문제점은 혈관의 밝기값이 뼈의 밝기값과 비슷하기 때문에 기존의 3차원 SRG방법으로 분할하는 경우 새나감의 문제를 가지고 있었다. 본 논문에서는 Cubic SRG라는 방법을 통해 기존의 3차원 SRG가 가지는 깔끔한 분할결과와 적응적인 특성등의 여러 장점을 그대로 취하며 Cubic이라는 구조적 특징을 이용하여 혈관을 빠르고 강인하게 분할하는 방법을 제안한다. Cubic SRG는 SRG가 픽셀단위의 성장을 통해 동질 영역을 분할하는 방법을 사용함에 반해 Cubic이라는 부피 단위를 지정하여 이를 SRG의 픽셀과 같이 퍼트리는 방식으로 기존의 3차원 SRG에 비해 2$\sim$5배 정도의 빠른 수행속도를 보이며 3차원 SRG의 장점인 적응적인 특성을 그대로 가질수 있도륵 구현되었다. 또한 복셀들을 Cubic이라는 단위로 묶음으로서 혈관의 구조적인 분석을 수행하여 혈관을 트리형태의 구조로 그룹화가 가능하기 때문에 혈관을 가지별로 분할하기에 용이한 특징을 가지도록 하였으며, 이를 통해 새나감이 시작된 가지를 찾아서 잘라내는 방법을 통하여 SRG의 가장 큰 문제인 새나감 방법을 효과적으로 해결하는 방법을 제시한다. 최종적으로 위의 방법을 기본으로 하여 적응형 임계값 기반의 분할 방법을 혼합하여 사용자가 지정한 두 지점사이의 혈관을 강인하게 분할할수 있도록 구현하였고, 제안한 방법으로 여러 환자의 CT데이터에 실험하여 좋은 결과를 얻을 수 있었다.

• Fire Science and Engineering
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• v.27 no.5
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• pp.75-79
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• 2013

Application of the left lateral tilt position has been recommended during cardiopulmonary resuscitation (CPR) of pregnant patients. However, the left lateral tilt could displace the left ventricle (LV) besides the gravid uterus and may compromise the cardiac pump mechanism of CPR. Thus, we investigated the effect of left lateral tilt on the spatial relationship between the anterior-posterior axis (AP axis), which represents the direction of sternal displacement during CPR, and the LV. We retrospectively reviewed the medical records and multidetector computed tomography (MDCT) scans of 90 patients who underwent virtual gastroscopy using MDCT. Virtual gastroscopy was performed with the patient both in the left lateral tilt position and in the supine position. On an axial image showing the maximal area of the LV, the angle between the AP axis and the LV axis ($Angle_{AP-LV}$), the shortest distance between the AP axis and the mid-point of LV cavity ($D_{AP-MidLV}$) and the shortest distance between the AP axis and the LV apex ($D_{AP-Apex}$) were measured. In the supine scans, the LV was situated on the left side of the AP axis in 87 patients (96.7%). On the left lateral tilt scans, the mean tilt angle was $43.4{\pm}11.0^{\circ}$. $D_{AP-MidLV}$ and $D_{AP-Apex}$ were significantly longer in the left lateral tilt position (p<0.001), but $Angle_{AP-LV}$ was comparable between the positions. This study indicates that the left lateral tilt position may compromise the cardiac pump mechanism of chest compression in pregnant cardiac arrest patients.