• 제목/요약/키워드: Three-dimensional CT image

검색결과 195건 처리시간 0.025초

3차원 흉부 CT에서 추체 골 전이 병변에 대한 반자동 검출 기법 및 분류 시스템 개발 (Development of a Semi-Automated Detection Method and a Classification System for Bone Metastatic Lesions in Vertebral Body on 3D Chest CT)

  • 김영재;이승현;최자영;선혜영;김광기
    • 한국통신학회논문지
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    • 제38C권10호
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    • pp.887-895
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    • 2013
  • 골 전이 암은 여러 장기에 생긴 암이 질병이 경과함에 따라 뼈로 옮아가는 것으로서, 암 환자에게서 주로 발생하는 합병증 중 하나이다. 골 전이는 골 용해성 전이와 골 형성성 전이로 구분되며, CT에서 골 전이의 진단은 임상적으로 매우 유용할 수 있으나, 많은 판독건수로 인하여 중요한 병변이 간과되는 경우가 많고, 이를 통해 골 전이 암을 조기에 진단하지 못하는 경우가 발생할 수 있다. 이에 본 논문에서는 흉부 CT의 단층 영상들을 3차원 볼륨 데이터로 구성하여 3차원 영상처리 알고리즘을 적용하여 골 전이 병변을 검출하고 3차원 가시화를 수행하였으며, 총 10개 데이터에 대해 민감도를 측정한 결과, 골 형성성 병변이 평균 94.1%, 골 용해성 병변이 평균 90.0%의 값을 나타내어 골 전이 진단에서의 활용에 대한 높은 가능성과 잠재적인 유용성을 확인할 수 있었다.

삼차원 초음파 의료 영상의 입체 묘사 기법 연구 (A Study on Volume Visualization Method of Three-Dimensional Ultrasonic Medical Image)

  • 최정필;하명환;나종범
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1995년도 춘계학술대회
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    • pp.45-48
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    • 1995
  • Visualization of three dimensional medical images has been studied in many ways. For CT and MRI data, 3D rendering schemes are commercially available and widly used. However visualization of ultrasonic 3D data is not popular yet, even though its potentional in medical diagnosis seems very high. In this paper we try to visualize 3D ultrasonic data. The basic method is adopted from the volume rendering technique. Based on the characteristics of the ultrasonic images, 3D visualization algorithm is developed and applied for the 3D image set of a dog heart.

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흉부 MDCT 영상을 이용한 신체 장기의 단계별 분할 (Phased Segmentation of Human Organs On the MDCT Scans)

  • 신민준;김도연
    • 한국멀티미디어학회논문지
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    • 제14권11호
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    • pp.1383-1391
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    • 2011
  • 향상된 기능을 가진 최신 의료장비들의 등장으로 하드웨어 성능에 부합하는 효과적인 영상처리 및 분석의 중요성이 부각되고 있으며, 2차원 의료 영상처리 및 3차원 영상 재구성에 관한 많은 연구들이 진행되고 있다. 본 논문은 흉부 CT 영상을 사용하여 신체 장기를 단계별로 분할 하였으며, 분할된 결과 영상을 3차원으로 재구성 하였다. 다양한 영상분할 방법중 영역 확장법 및 효과적인 분할을 위해 선명화와 감마 조절등과 같은 영상 향상 기법을 적용하였으며, 기관지를 포함한 폐, 기관지, 폐 등의 순서로 영상을 분할하였다. 분할된 신체 장기 영상을 VTK를 사용하여 3차원 영상으로 재구성 하였으며, 병변 진단을 위한 2차원 및 3차원 의료 영상 처리와 분석에 활용될 것으로 판단된다.

Use of 3D Printing Model for the Management of Fibrous Dysplasia: Preliminary Case Study

  • Choi, Jong-Woo;Jeong, Woo Shik
    • Journal of International Society for Simulation Surgery
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    • 제3권1호
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    • pp.36-38
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    • 2016
  • Fibrous dysplasia is a relatively rare disease but the management would be quite challenging. Because this is not a malignant tumor, the preservation of the facial contour and the various functions seems to be important in treatment planning. Until now the facial bone reconstruction with autogenous bone would be the standard. Although the autogenous bone would be the ideal one for facial bone reconstruction, donor site morbidity would be the inevitable problem in many cases. Meanwhile, various types of allogenic and alloplastic materials have been also used. However, facial bone reconstruction with many alloplastic material have produced no less complications including infection, exposure, and delayed wound healing. Because the 3D printing technique evolved so fast that 3D printed titanium implant were possible recently. The aim of this trial is to try to restore the original maxillary anatomy as possible using the 3D printing model, based on the mirrored three dimensional CT images based on the computer simulation. Preoperative computed tomography (CT) data were processed for the patient and a rapid prototyping (RP) model was produced. At the same time, the uninjured side was mirrored and superimposed onto the traumatized side, to create a mirror-image of the RP model. And we molded Titanium mesh to reconstruct three-dimensional maxillary structure during the operation. This prefabricated Titanium-mesh implant was then inserted onto the defected maxilla and fixed. Three dimensional printing technique of titanium material based on the computer simulation turned out to be successful in this patient. Individualized approach for each patient could be an ideal way to restore the facial bone.

3D Printed Titanium Implant for the Skull Reconstruction: A Preliminary Case Study

  • Choi, Jong-Woo;Ahn, Jae-Sung
    • Journal of International Society for Simulation Surgery
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    • 제1권2호
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    • pp.99-102
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    • 2014
  • The skull defect can be made after the trauma, oncologic problems or neurosurgery. The skull reconstruction has been the challenging issue in craniofacial fields for a long time. So far the skull reconstruction with autogenous bone would be the standard. Although the autogenous bone would be the ideal one for skull reconstruction, donor site morbidity would be the inevitable problem in many cases. Meanwhile various types of allogenic and alloplastic materials have been also used. However, skull reconstruction with many alloplastic material have produced no less complications including infection, exposure, and delayed wound healing. Because the 3D printing technique evolved so fast that 3D printed titanium implant were possible recently. The aim of this trial is to try to restore the original skull anatomy as possible using the 3D printed titanium implant, based on the mirrored three dimensional CT images based on the computer simulation. Preoperative computed tomography (CT) data were processed for the patient and a rapid prototyping (RP) model was produced. At the same time, the uninjured side was mirrored and superimposed onto the traumatized side, to create a mirror-image of the RP model. And we fabricated Titanium implant to reconstruct three-dimensional orbital structure in advance, using the 3D printer. This prefabricated Titanium-implant was then inserted onto the defected skull and fixed. Three dimensional printing technique of titanium material based on the computer simulation turned out to be very successful in this patient. Individualized approach for each patient could be an ideal way to manage the traumatic patients in near future.

딥러닝을 이용한 CT 영상의 간과 종양 분할과 홀로그램 시각화 기법 연구 (A Study on the Liver and Tumor Segmentation and Hologram Visualization of CT Images Using Deep Learning)

  • 김대진;김영재;전영배;황태식;최석원;백정흠;김광기
    • 한국멀티미디어학회논문지
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    • 제25권5호
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    • pp.757-768
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    • 2022
  • In this paper, we proposed a system that visualizes a hologram device in 3D by utilizing the CT image segmentation function based on artificial intelligence deep learning. The input axial CT medical image is converted into Sagittal and Coronal, and the input image and the converted image are divided into 3D volumes using ResUNet, a deep learning model. In addition, the volume is created by segmenting the tumor region in the segmented liver image. Each result is integrated into one 3D volume, displayed in a medical image viewer, and converted into a video. When the converted video is transmitted to the hologram device and output from the device, a 3D image with a sense of space can be checked. As for the performance of the deep learning model, in Axial, the basic input image, DSC showed 95.0% performance in liver region segmentation and 67.5% in liver tumor region segmentation. If the system is applied to a real-world care environment, additional physical contact is not required, making it safer for patients to explain changes before and after surgery more easily. In addition, it will provide medical staff with information on liver and liver tumors necessary for treatment or surgery in a three-dimensional manner, and help patients manage them after surgery by comparing and observing the liver before and after liver resection.

자기공명영상장치(磁氣共鳴映像裝置)에서 움직임허상(虛像)의 위치제어(位置制御)에 관(關)한 연구(硏究) (A Study on Locational Control of Motion Ghost in Magnetic Imaging System)

  • 이후민
    • 대한방사선기술학회지:방사선기술과학
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    • 제16권2호
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    • pp.19-26
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    • 1993
  • Magnetic Resonance Image represents three-dimensional diagnostic imaging technique using both nuclear magnetic resonance phenomenon and computer. Compared with computed tomography (CT), MRI have advantages harmless to patient's body, three-dimensional image with high resolution and disadvantages long data acquisition time because of long T1 relaxation time, relatively low signal to noise ratio, high cost of setting, also. As physiologic motion of tissue results in motion ghost in MRI, high 2.0Tesla make improve low signal to noise ratio. This study have aim to improve image quality with controling motion ghost of tissue. Supposing a moving pixel in constant frequency, one pixel make two ghosts which are same size and different anti-phase. So, this study will show adjust parameter on locational control of motion ghost. Author made moving phantom replaced by respiratory movement of human, researched change of motion frequency, FOV by location shift, and them decided optimal FOV (field of view). The results are as follows: 1. The frequency content of the motion determines how far the image always appear in phase-encoding direction, the morphology of the ghost image is characteristic of the direction of the motion and its amplitude. 2. Double FOV of fixed signal object for locational control of motion ghost is recommended. Decreasement of spatial resolution by increasing FOV can compensate on increasing of matrix in spite of scan time increasement.

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Does cone-beam CT alter treatment plans? Comparison of preoperative implant planning using panoramic versus cone-beam CT images

  • Guerrero, Maria Eugenia;Noriega, Jorge;Castro, Carmen;Jacobs, Reinhilde
    • Imaging Science in Dentistry
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    • 제44권2호
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    • pp.121-128
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    • 2014
  • Purpose: The present study was performed to compare the planning of implant placement based on panoramic radiography (PAN) and cone-beam computed tomography (CBCT) images, and to study the impact of the image dataset on the treatment planning. Materials and Methods: One hundred five partially edentulous patients (77 males, 28 females, mean age: 46 years, range: 26-67 years) seeking oral implant rehabilitation were referred for presurgical imaging. Imaging consisted of PAN and CBCT imaging. Four observers planned implant treatment based on the two-dimensional (2D) image data-sets and at least one month later on the three-dimensional (3D) image dataset. Apart from presurgical diagnostic and dimensional measurement tasks, the observers needed to indicate the surgical confidence levels and assess the image quality in relation to the presurgical needs. Results: All observers confirmed that both imaging modalities (PAN and CBCT) gave similar values when planning implant diameter. Also, the results showed no differences between both imaging modalities for the length of implants with an anterior location. However, significant differences were found in the length of implants with a posterior location. For implant dimensions, longer lengths of the implants were planned with PAN, as confirmed by two observers. CBCT provided images with improved scores for subjective image quality and surgical confidence levels. Conclusion: Within the limitations of this study, there was a trend toward PAN-based preoperative planning of implant placement leading towards the use of longer implants within the posterior jaw bone.

위장 CT 검사에서 Ray-sum 기법과 SSD(Shaded Surface Display) 기법의 유용성 분석 (The usability analysis of the Ray-sum technique and SSD (Shaded Surface display) technique in stomach CT Scan)

  • 김현주;조재환;송훈
    • 디지털콘텐츠학회 논문지
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    • 제12권2호
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    • pp.151-156
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    • 2011
  • CT검사 후 재구성 영상 처리 기법인 Ray-sum 기법과 Shaded Surface Display(이하 SSD)기법을 분석 및 영상평가를 하여 위암 환자의 입체적인 정보 제공의 유용성 여부를 확인하고자 하였다. 위암환자 20명을 대상으로 64-MDCT를 이용하여 raw data(원시데이터)를 획득한 후 영상 재구성 처리를 하였다. 분석 결과 Ray-sum과 SSD재구성 영상모두 해부학적 구조를 정확히 묘사하는 것으로 평가 받았고, 영상의 정확도 평가에서 Ray-sum, SSD재구성 영상 대부분에서 병변의 위치가 위장 내시경과 일치하였으며 6cm이상에서 오차가 더 있음을 알 수 있었다. 또한 병변에 대한 영상판독결과와 내시경 및 병리학적 소견의 일치도가 높음을 알 수 있었다.

Three Dimensional Measurement of Ideal Trajectory of Pedicle Screws of Subaxial Cervical Spine Using the Algorithm Could Be Applied for Robotic Screw Insertion

  • Huh, Jisoon;Hyun, Jae Hwan;Park, Hyeong Geon;Kwak, Ho-Young
    • Journal of Korean Neurosurgical Society
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    • 제62권4호
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    • pp.376-381
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    • 2019
  • Objective : To define optimal method that calculate the safe direction of cervical pedicle screw placement using computed tomography (CT) image based three dimensional (3D) cortical shell model of human cervical spine. Methods : Cortical shell model of cervical spine from C3 to C6 was made after segmentation of in vivo CT image data of 44 volunteers. Three dimensional Cartesian coordinate of all points constituting surface of whole vertebra, bilateral pedicle and posterior wall were acquired. The ideal trajectory of pedicle screw insertion was defined as viewing direction at which the inner area of pedicle become largest when we see through the biconcave tubular pedicle. The ideal trajectory of 352 pedicles (eight pedicles for each of 44 subjects) were calculated using custom made program and were changed from global coordinate to local coordinate according to the three dimensional position of posterior wall of each vertebral body. The transverse and sagittal angle of trajectory were defined as the angle between ideal trajectory line and perpendicular line of posterior wall in the horizontal and sagittal plane. The averages and standard deviations of all measurements were calculated. Results : The average transverse angles were $50.60^{\circ}{\pm}6.22^{\circ}$ at C3, $51.42^{\circ}{\pm}7.44^{\circ}$ at C4, $47.79^{\circ}{\pm}7.61^{\circ}$ at C5, and $41.24^{\circ}{\pm}7.76^{\circ}$ at C6. The transverse angle becomes more steep from C3 to C6. The mean sagittal angles were $9.72^{\circ}{\pm}6.73^{\circ}$ downward at C3, $5.09^{\circ}{\pm}6.39^{\circ}$ downward at C4, $0.08^{\circ}{\pm}6.06^{\circ}$ downward at C5, and $1.67^{\circ}{\pm}6.06^{\circ}$ upward at C6. The sagittal angle changes from caudad to cephalad from C3 to C6. Conclusion : The absolute values of transverse and sagittal angle in our study were not same but the trend of changes were similar to previous studies. Because we know 3D address of all points constituting cortical shell of cervical vertebrae. we can easily reconstruct 3D model and manage it freely using computer program. More creative measurement of morphological characteristics could be carried out than direct inspection of raw bone. Furthermore this concept of measurement could be used for the computing program of automated robotic screw insertion.