• 제목/요약/키워드: CT-reconstruction

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Usability Evaluation of Applied Low-dose CT When Examining Urinary Calculus Using Computed Tomography (컴퓨터 단층촬영을 이용한 요로결석 검사에서 저선량 CT의 적용에 대한 유용성 평가)

  • Kim, Hyeon-Jin;Ji, Tae-Jeong
    • The Journal of the Korea Contents Association
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    • v.17 no.6
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    • pp.81-85
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    • 2017
  • The aim of this study was to evaluate the usability of applied Low dose Computed Tomography(LDCT) protocol in examining urinary calculus using computed tomography. The subjects of this study were urological patients who visited a medical institution located in Busan from June to December 2016 and the protocol used in this study was Adaptive Statistical Iterative Reconstruction: low-dose CT with 50% Adaptive Statistical Iterative Reconstruction (ASIR). As results of quantitative analysis, the mean pixel value and standard deviation within kidney region of image(ROI)of the axial image were $26.21{\pm}7.08$ in abdomen CT pre scan and $20.03{\pm}8.16$ in low-dose CT. Also the mean pixel value and standard deviation within kidney ROI of the coronal image were $22.07{\pm}7.35$ in abdomen CT pre scan and $21.67{\pm}6.11$ in low dose CT. The results of qualitative analysis showed that four raters' mean values of observed kidney artifacts were $19.14{\pm}0.36$ when using abdomen CT protocol and $19.17{\pm}0.43$ in low-dose CT, and the mean value of resolution and contrast was $19.35{\pm}0.70$ when using abdomen CT protocol and $19.29{\pm}0.58$ in low-dose CT. Also the results of a exposure dose analysis showed that the mean values of CTDIvol and DLP in abdomen CT pre scan were 18.02 mGy and $887.51mGy{\cdot}cm$ respectively and the mean values of CTDIvol and DLP when using low-dose CT protocol were 7.412 mGy and $361.22mGy{\cdot}cm$ respectively. The resulting dose reduction rate was 58.82% and 59.29%, respectively.

3D Reconstruction System of Teeth for Dental Simulation (치과 진료 시뮬레이션을 위한 3차원 치아의 재구성 시스템)

  • Heo, Hoon;Choi, Won-Jun;Chae, Ok-Sam
    • The KIPS Transactions:PartB
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    • v.11B no.2
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    • pp.133-140
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    • 2004
  • Recently, the dental information systems were rapidly developed in order to store and process the data of patients. But, these systems should serve a doctor a good quality information against disease for diagnostic and surgery purpose so as to success in this field. This function of the system it important to persuade patients to undergo proper surgical operation they needed. Hence, 3D teeth model capable of simulating the dental surgery and treatment is necessary Teeth manipulation of dentistry is performed on individual tooth in dental clinic. io, 3D teeth reconstruction system should have the techniques of segmentation and 3D reconstruction adequate for individual tooth. In this paper, we propose the techniques of adaptive optimal segmentation to segment the individual area of tooth, and reconstruction method of tooth based on contour-based method. Each tooth can be segmented from neighboring teeth and alveolar bone in CT images using adaptive optimal threshold computed differently on tooth. Reconstruction of individual tooth using results of segmentation can be manipulated according to user's input and make the simulation of dental surgery and treatment possible.

A Study on the Use of Contrast Agent and the Improvement of Body Part Classification Performance through Deep Learning-Based CT Scan Reconstruction (딥러닝 기반 CT 스캔 재구성을 통한 조영제 사용 및 신체 부위 분류 성능 향상 연구)

  • Seongwon Na;Yousun Ko;Kyung Won Kim
    • Journal of Broadcast Engineering
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    • v.28 no.3
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    • pp.293-301
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    • 2023
  • Unstandardized medical data collection and management are still being conducted manually, and studies are being conducted to classify CT data using deep learning to solve this problem. However, most studies are developing models based only on the axial plane, which is a basic CT slice. Because CT images depict only human structures unlike general images, reconstructing CT scans alone can provide richer physical features. This study seeks to find ways to achieve higher performance through various methods of converting CT scan to 2D as well as axial planes. The training used 1042 CT scans from five body parts and collected 179 test sets and 448 with external datasets for model evaluation. To develop a deep learning model, we used InceptionResNetV2 pre-trained with ImageNet as a backbone and re-trained the entire layer of the model. As a result of the experiment, the reconstruction data model achieved 99.33% in body part classification, 1.12% higher than the axial model, and the axial model was higher only in brain and neck in contrast classification. In conclusion, it was possible to achieve more accurate performance when learning with data that shows better anatomical features than when trained with axial slice alone.

Dose and Image Evaluations of Imaging for Radiotherapy (방사선치료를 위한 영상장비의 선량 및 영상 평가)

  • Lee, Hyounggun;Yoon, Changyeon;Kim, Tae Jun;Kim, Dongwook;Chung, Weon Kyu;Park, Sung Ho;Lee, Wonho
    • Progress in Medical Physics
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    • v.23 no.4
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    • pp.292-302
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    • 2012
  • The patient dose in advanced radiotherapy techniques is an important issue. These methods should be evaluated to reduce the dose in diagnostic imaging for radiotherapy. Especially, the Computed Tomography in radiotherapy has been used widely; hence the CT was evaluated for dose and image in this study. The evaluations for dose and image were done in equal condition due to compare the dose and image simultaneously. Furthermore, the possibility of dose and image evaluations by using the Monte Carlo simulation MCNPX was confirmed. We made the iterative reconstruction for low dose CT image to elevate image quality with Maximum Likelihood Expectation Maximization; MLEM. The system we developed is expected to be used not only to reduce the patient dose in radiotherapy, also to evaluate the overall factors of image modalities in industrial research.

Development of a Small Animal CT using a Linear Detector Array and Small-Scale Slip Rings

  • An Ung Hwan;Chun In Kon;Lee Sang Chul;Cho Min Hyoung;Lee Soo Yeol
    • Journal of Biomedical Engineering Research
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    • v.26 no.1
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    • pp.43-47
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    • 2005
  • We have developed a small bore x-ray CT for small animal imaging with a linear x-ray detector array and small-scale slip rings. The linear x-ray detector array consists of 1024 elements of 400□m×400□m with a gadolinium oxysulfide (GOS) scintillator on top of them. To avoid use of expensive large diameter slip rings for projection data transmission from the X­ray detector to the image reconstruction system, we used the wireless LAN technology. The projection data are temporally stored in the data acquisition system residing on the rotating gantry during the scan and they are transmitted to the image reconstruction system after the scan. With the wireless LAN technology, we only needed to use small-scale slip rings to deliver the AC electric power to the X-ray generator and the power supply on the rotating gantry. The performances of the small animal CT system, such as SNR, contrast, and spatial resolution, have been evaluated through experiments using various phantoms. It has been experimentally found that the SNR is almost linearly proportional to the tube current and tube voltage, and the minimum resolvable contrast is less than 30 CT numbers at 40kVp/3.0㎃. The spatial resolution of the small animal CT system has been found to be about 0.9Ip/㎜. Postmortem images of a piglet is also presented.

Usefulness Evaluation of HRCT using Reconstruction in Chest CT (흉부CT 검사 시 HRCT 영상 재구성의 유용성)

  • Park, Sung-Min;Kim, Keung-Sik;Kang, Seong-Min;Yoo, Beong-Gyu;Lee, Ki-Bae
    • Korean Journal of Digital Imaging in Medicine
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    • v.17 no.1
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    • pp.13-18
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    • 2015
  • Purpose : Skip the repetitive HRCT axial scan in order to reduce the exposure of patients during chest HRCT scan, Helical Scan Data into a reconstructed image, and exposure of the patient change and visually evaluate the usefulness of the HRCT images. Materials and method : Patients were enrolled in the survey are 50 people who underwent chest CT scans of patients who presented to the hospital from January 2015 to March 2015. 50 people surveyed 22 people men and 28 people women people showed an average distribution of 30 to 80 years age was 48 years. 50 patients to Somatom Sensation 64 ch (Siemens) model with 120 kVp tube voltage to a reference mAs tube current to mAs (Care dose, Siemens) as a whole, including the lungs and the chest CT scan was performed. Scan upon each patient CARE dose 4D (Automatic exposure control, Siemens Medical Solution Erlangen, Germany) was to maintain the proper radiation dose scan every cross-section through a device that automatically adjusts the tube current of. CT scan is the rotation time of the Tube slice collimation, slice width 0.6 mm, pitch factor was made under the terms of 1.4. CT scan obtained after the raw data (raw data) to the upper surface of the axial images and coronal images for each slice thickness 1 mm, 5 mm intervals in the high spatial frequency calculation method (hight spatial resolution algorithm, B60 sharp) was the use of the lung window center -500 HU, windows were reconstructed into images in the interval -1000 HU to see. Result : 1. Measure the total value of DLP 50 patients who proceed to chest CT group A (Helical Scan after scan performed with HRCT) and group B (Helical Scan after the HR image reconstruction to the original data) compared with the group divided, analysis As a result of the age, but show little difference for each age group it had a decreased average dose of about 9%. 2. A Radiation read the results of the two Radiologist and a doctor upper lobe and middle lobe of the lung takes effect the visual evaluation is not a big difference between the two images both, depending on the age of the patient, especially if the blood vessels of the lower lobe (A: 3.4, B: 4.6) and bronchi(A: 3.8, B4.7) image shake caused by breathing in anxiety (blurring lead) to the original data (raw data) showed that the reconstructed image is been more useful in diagnostic terms. Conclusion : Scan was confirmed a continuous, rapid motion video to get Helical scan is much lower lobe lung reduction in visual blurring, Helical scan data to not repeat the examination by obtaining HRCT images reorganization reduced the exposure of the patient.

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The Dependence of CT Scanning Parameters on CT Number to Physical Density Conversion for CT Image Based Radiation Treatment Planning System (CT 영상기반 방사선치료계획시스템을 위한 CT수 대 물리적 밀도 변환에 관한 CT 스캐닝 매개변수의 의존성)

  • Baek, Min Gyu;Kim, Jong Eon
    • Journal of the Korean Society of Radiology
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    • v.11 no.6
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    • pp.501-508
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    • 2017
  • The dependence of CT scanning parameters on the CT number to physical density conversion from the CT image of CT and CBCT electron density phantom acquired by the CT scanner using in radiotherapy were analyzed by experiment. The CT numbers were independent of the tube current product exposure time, slice thickness, filter of image reconstruction, field of view and volume of phantom. But the CT numbers were dependent on the tube voltage and cross section of phantom. As a result, for physical density range above 0, the maximum CT number difference observed at the tube voltage between 90 and 120 kVp was 27%, and the maximum CT number difference observed between CT body and head electron density phantom was 15%.

3D Reconstructed Image of Neck Mass to Improve Patient's Understanding (경부 종물 환자의 이해도 개선을 위한 3차원 재건 영상의 활용)

  • Yoo, Young-Sam
    • Korean Journal of Head & Neck Oncology
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    • v.26 no.2
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    • pp.193-197
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    • 2010
  • Objectives : Patients with neck tumor and their family need every information about the disease. Especially, the size and location are confusing with verbal information. With the aid of CT, the problem had some answer, but it needs some medical education. We would like to know the usefullness of 3D reconstructed images in patient education about the disease. Material and Methods : Neck CT data were collected from 10 patients with various neck tumors and converted to 3D reconstructed images. Understanding of the patients about the size and location of tumors were rated from questionaires using axial CT images and 3D images. Results : Understanding score about 3D images were greater than that of CT images(p<0.006). Conclusion : 3D reconstructed images of CT could give the patients more real visual information about the disease.

Computed tomographic features of Scottish Fold osteochondrodysplasia

  • Lee, Seyoung;Oh, Juyeon;Choi, Jihye
    • Korean Journal of Veterinary Research
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    • v.60 no.1
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    • pp.43-47
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    • 2020
  • An 18-month-old, Scottish Fold with severe lameness and pain in the fore- and hind-limbs was diagnosed as Scottish Fold osteochondrodysplasia based on radiography showing mis-shapened phalanges, bone formation around the tarsal and metatarsal joints, joint space narrowing, and ankylosis. Although computed tomography (CT) is not considered a primary method for examining Scottish Fold osteochondrodysplasia, CT was undertaken in this case to investigate the cause of pain and reluctant ambulation in the forelimbs. CT showed immaturely ossified bone proliferation in the carpal bones. CT-based multiplanar reconstruction can reveal the anatomic relationship between the bone lesion and the joint in various directions.

Estimation of Unknown Projection DATA Based on the Bandwidth of Projection DATA

  • Kil-Houm Park
    • Journal of Biomedical Engineering Research
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    • v.15 no.3
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    • pp.275-280
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    • 1994
  • In the case of the image reconstruction from unknown projection data such as imaging the object with opaque obstructions, conventional reconstruction algorithms may reconstruct a degraded image. In this paper, a new method for the estimation of the unknown projection data based on known projection data and the bandwidth of projection data is proposed. The proposed method successfully estimates the unknown projection data through iterative transformation between projection space and frequency space using the known projection data and the bandwidth of the projection data. Computer simulation shows that the proposed method significantly improves image quality and convergence behavior over conventional algorithms. In addition, the proposed method is successfully applied to ultrasound attenuation CT using a sponge phantom.

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