• Title/Summary/Keyword: CT Image

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Analysis of the image composition speed of RT and TPSM algorithms (RT과 TPSM 알고리즘의 영상구성 속도 분석)

  • Jin-Seob Shin
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.6
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    • pp.139-143
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    • 2023
  • In this paper, compared to the RT algorithm that constitutes CT images, the TPSM algorithm available in the conical CB-CT system was applied to enable 3D CT image configuration faster than the existing RT, and the image speeds of the two algorithms were compared and analyzed. To this end, the TPSM algorithm available in the conical CB-CT system was applied to enable real-time processing in 3D CT image composition. As a result of the experiment, it was found that the cross-sectional image constructed using TPSM decreases the quality of the image slightly by empty pixels as the distance from the center point increases, but in the case of TPSM rotation-based methods, the image composition speed is far superior to that of the RT algorithm.

Preliminary Application of Synthetic Computed Tomography Image Generation from Magnetic Resonance Image Using Deep-Learning in Breast Cancer Patients

  • Jeon, Wan;An, Hyun Joon;Kim, Jung-in;Park, Jong Min;Kim, Hyoungnyoun;Shin, Kyung Hwan;Chie, Eui Kyu
    • Journal of Radiation Protection and Research
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    • v.44 no.4
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    • pp.149-155
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    • 2019
  • Background: Magnetic resonance (MR) image guided radiation therapy system, enables real time MR guided radiotherapy (RT) without additional radiation exposure to patients during treatment. However, MR image lacks electron density information required for dose calculation. Image fusion algorithm with deformable registration between MR and computed tomography (CT) was developed to solve this issue. However, delivered dose may be different due to volumetric changes during image registration process. In this respect, synthetic CT generated from the MR image would provide more accurate information required for the real time RT. Materials and Methods: We analyzed 1,209 MR images from 16 patients who underwent MR guided RT. Structures were divided into five tissue types, air, lung, fat, soft tissue and bone, according to the Hounsfield unit of deformed CT. Using the deep learning model (U-NET model), synthetic CT images were generated from the MR images acquired during RT. This synthetic CT images were compared to deformed CT generated using the deformable registration. Pixel-to-pixel match was conducted to compare the synthetic and deformed CT images. Results and Discussion: In two test image sets, average pixel match rate per section was more than 70% (67.9 to 80.3% and 60.1 to 79%; synthetic CT pixel/deformed planning CT pixel) and the average pixel match rate in the entire patient image set was 69.8%. Conclusion: The synthetic CT generated from the MR images were comparable to deformed CT, suggesting possible use for real time RT. Deep learning model may further improve match rate of synthetic CT with larger MR imaging data.

Quantitative Evaluation of Sparse-view CT Images Obtained with Iterative Image Reconstruction Methods (반복적 연산으로 얻은 Sparse-view CT 영상에 대한 정량적 평가)

  • Kim, H.S.;Gao, Jie;Cho, M.H.;Lee, S.Y.
    • Journal of Biomedical Engineering Research
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    • v.32 no.3
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    • pp.257-263
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    • 2011
  • Sparse-view CT imaging is considered to be a solution to reduce x-ray dose of CT. Sparse-view CT imaging may have severe streak artifacts that could compromise the image qualities. We have compared quality of sparseview images reconstructed with two representative iterative reconstruction techniques, SIRT and TV-minimization, in terms of image error and edge preservation. In the comparison study, we have used the Shepp-Logan phantom image and real CT images obtained with a micro-CT. In both phantom image and real CT image tests, TV-minimization technique shows the best performance in error reduction and preserving edges. However, the excessive computation time of TV-minimization is a technical challenge for the practical use.

Image Enhancement of Simplified Ultrasonic CT Using Frequency Analysis Method

  • Kim, kyung-Cho;Hiroaki Fukuhara;Hisashi Yamawaki
    • Journal of Mechanical Science and Technology
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    • v.16 no.12
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    • pp.1627-1632
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    • 2002
  • In this paper, a simplified ultrasonic CT system, which uses the information in three directions, that is, 90°, +45° and -45°about the inspection plane, is applied to the high strength steel, and the frequency analysis method for enhancing the C scan or CT image is developed. This frequency analysis method is based on the frequency response property of the material. By comparing the magnitudes in the frequency domain, the special frequency which shows a significant difference between the welded joint and base material was found and used to obtain a C scan or CT image. Experimental results for several kinds of specimens, having a welded joint by electron beam welding, a weld joint by arc welding, on a fatigue crack, showed that the obtained C scan or CT image has better resolution than the results of previous experiments using the maximum value of the received waveform.

Usefulness of Dual Energy CT to Improve Image Quality Degradation due to Lens Shielding (수정체 차페로 기인한 화질저하 개선을 위한 듀얼 에너지 CT의 유용성)

  • Yoon, Joon;Kim, Hyeonju
    • Journal of the Korean Society of Radiology
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    • v.13 no.7
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    • pp.969-977
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    • 2019
  • Applying the bismuth shield used to reduce the radiation exposure, image quality may be reduced due to beam hardening caused by the shield during CT scan. Therefore, we tried to find out the energy range that can reduce image degradation by applying GSI mode of G company's dual energy CT and examine the possibility through experiment. As a result, after bismuth shielding, 118 ± 10.6 HU and 50.1 ± 14.6 HU at 50 keV after dual-energy CT scan were the most similar to the CT value before image deterioration(p> 0.05). It was measured 176.6 ± 7.1 and 138.3 ± 1.1 at 50 keV(p> 0.05). Experiments showed that the use of the shield during CT inspection inevitably degrades the image quality, but experiments show that the GSI function of the dual energy CT can maintain the image quality even when the shield is used. If the various shields are secured after the evaluation using the dual energy CT, it is expected to overcome the disadvantages of poor image quality caused by the use of the radiation shield for reducing the exposure, which is the biggest disadvantage of the CT scan.

초음파 영상 진단장치

  • 이민화
    • 전기의세계
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    • v.38 no.8
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    • pp.9-18
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    • 1989
  • 초음파 CT는 시기적으로 가장 빨리 X-ray CT와 함께 연구되어 왔으나 인체내의 투과성, 난반사, 긴파장등에 의해 실용화가 아직은 요원하다. 초음파 CT는 크게 Time of flight (TOF)CT, Attenuation CT, Reflection CT, Diffraction CT등으로 나눌수 있다. 초기에는 TOF CT, Attenuation CT의 연구가 주로 이루어 졌으나 투과의 문제로 인하여 실제로는 유방의 진단에 국한되고 있다. Reflection CT는 초음파의 특성상 실용화가 가장 쉬우나 Transducer 크기등의 문제로 연구가 지연되고 있다. Diffraction CT는 모든 초음파 CT의 특성을 갖고 있으며 현재에 실용화는 요원한 실정이다. KAIST에서는 TOF CT와 Reflection CT의 특징을 결합한 초음파 CT를 연구 발표한 바 있다. 3-D Image은 지금까지의 초음파진단장치에서 표시하는 2-D Image가 갖고 있는 제반의 문제들을 극복하기 위해 현재 KAIST에서 활발히 연구가 진행중에 있다.

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Image Registration for PET/CT and CT Images with Particle Swarm Optimization (Particle Swarm Optimization을 이용한 PET/CT와 CT영상의 정합)

  • Lee, Hak-Jae;Kim, Yong-Kwon;Lee, Ki-Sung;Moon, Guk-Hyun;Joo, Sung-Kwan;Kim, Kyeong-Min;Cheon, Gi-Jeong;Choi, Jong-Hak;Kim, Chang-Kyun
    • Journal of radiological science and technology
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    • v.32 no.2
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    • pp.195-203
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    • 2009
  • Image registration is a fundamental task in image processing used to match two or more images. It gives new information to the radiologists by matching images from different modalities. The objective of this study is to develop 2D image registration algorithm for PET/CT and CT images acquired by different systems at different times. We matched two CT images first (one from standalone CT and the other from PET/CT) that contain affluent anatomical information. Then, we geometrically transformed PET image according to the results of transformation parameters calculated by the previous step. We have used Affine transform to match the target and reference images. For the similarity measure, mutual information was explored. Use of particle swarm algorithm optimized the performance by finding the best matched parameter set within a reasonable amount of time. The results show good agreements of the images between PET/CT and CT. We expect the proposed algorithm can be used not only for PET/CT and CT image registration but also for different multi-modality imaging systems such as SPECT/CT, MRI/PET and so on.

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Reducing Dose in SPECT/CT Using Adaptive Statistical Iterative Reconstruction Technique (Adaptive Statistical Iterative Reconstruction 기법을 이용한 Bone SPECT/CT 검사에서 피폭량 감소 방안)

  • Choi, Jin-Wook;Choi, Hyeon-Jun;Park, Chan-Rok;Cho, Sung-Wook;Kim, Jin-Eui;Lee, Jae-Sung;Lee, Dong-Soo
    • The Korean Journal of Nuclear Medicine Technology
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    • v.18 no.1
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    • pp.134-139
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    • 2014
  • Purpose: Adaptive statistical iterative reconstruction (ASIR) technique is a reconstruction method of CT image using statistical noise modeling which is known to reduce image noise and to preserve image quality despite reducing radiation dose. The aim of this study is to evaluate images using ASIR on bone SPECT/CT which is primarily performed in our hospital. Materials and Methods: We compared the images of applied ASIR (ASIR level: 20-80%) and none ASIR by changing the mA based on 120 kVp, 100 mA using Discovery NM/CT 670 (GE, U.S.A). First, we evaluated attenuation correction in SPECT image by changing the ASIR level using Anthropomorphic phantom. Second, we compared the contrast to noise ratio (CNR), image noise and spatial resolution in CT image using ACR phantom. Third, after selecting the ASIR level applicable patient using lower torso phantom, we examined 2 patients who followed up bone SPECT/CT and we performed blind test. Results: The degree of attenuation correction in SPECT image showed no significant difference between applied ASIR and none ASIR (P>0.05). When applied ASIR, the noise of CT image were reduced at least 17 up to 52% by changing the mA. The CNR of image with ASIR was maintained more than 0.8 at 40 mA (ASIR 60%) while those without ASIR showed 0.42 at standard 40 mA. In comparison of the high contrast object, we distinguished 12 line pairs/cm at 40 mA regardless of appling ASIR. Comparison of the patients image applied ASIR level 60% (40 mA) which found out by spine image of lower torso phantom showed no signigicant difference between applied ASIR and none ASIR in blind test. The CTDIvol and DLP for applied ASIR 60% showed decreased by 60%, 60% on average than using standard mA. Conclusion: The study show that the radiation dose in SPECT/CT using ASIR can be reduced despite degradation of SPECT and CT images. In addition, higher ASIR level could be possibly applied characteristics of SPECT/CT that region of interest is limited to bone.

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Motion Correction in PET/CT Images (PET/CT 영상 움직임 보정)

  • Woo, Sang-Keun;Cheon, Gi-Jeong
    • Nuclear Medicine and Molecular Imaging
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    • v.42 no.2
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    • pp.172-180
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    • 2008
  • PET/CT fused image with anatomical and functional information have improved medical diagnosis and interpretation. This fusion has resulted in more precise localization and characterization of sites of radio-tracer uptake. However, a motion during whole-body imaging has been recognized as a source of image quality degradation and reduced the quantitative accuracy of PET/CT study. The respiratory motion problem is more challenging in combined PET/CT imaging. In combined PET/CT, CT is used to localize tumors and to correct for attenuation in the PET images. An accurate spatial registration of PET and CT image sets is a prerequisite for accurate diagnosis and SUV measurement. Correcting for the spatial mismatch caused by motion represents a particular challenge for the requisite registration accuracy as a result of differences in PET/CT image. This paper provides a brief summary of the materials and methods involved in multiple investigations of the correction for respiratory motion in PET/CT imaging, with the goal of improving image quality and quantitative accuracy.

Basic Physical Principles and Clinical Applications of Computed Tomography

  • Jung, Haijo
    • Progress in Medical Physics
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    • v.32 no.1
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    • pp.1-17
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    • 2021
  • The evolution of X-ray computed tomography (CT) has been based on the discovery of X-rays, the inception of the Radon transform, and the development of X-ray digital data acquisition systems and computer technology. Unlike conventional X-ray imaging (general radiography), CT reconstructs cross-sectional anatomical images of the internal structures according to X-ray attenuation coefficients (approximate tissue density) for almost every region in the body. This article reviews the essential physical principles and technical aspects of the CT scanner, including several notable evolutions in CT technology that resulted in the emergence of helical, multidetector, cone beam, portable, dual-energy, and phase-contrast CT, in integrated imaging modalities, such as positron-emission-tomography-CT and single-photon-emission-computed-tomography-CT, and in clinical applications, including image acquisition parameters, CT angiography, image adjustment, versatile image visualizations, volumetric/surface rendering on a computer workstation, radiation treatment planning, and target localization in radiotherapy. The understanding of CT characteristics will provide more effective and accurate patient care in the fields of diagnostics and radiotherapy, and can lead to the improvement of image quality and the optimization of exposure doses.