• Title/Summary/Keyword: CT 알고리즘

Search Result 279, Processing Time 0.026 seconds

Application of Dual Tree Complex Wavelet for Performance Improvement of CT Images (CT 영상의 화질개선을 위한 이중트리복합웨이블릿의 적용)

  • Choi, Seokyoon
    • Journal of the Korean Society of Radiology
    • /
    • v.13 no.7
    • /
    • pp.941-946
    • /
    • 2019
  • Computed tomography (CT) has been increasing in frequency and indications for use in clinical diagnosis and treatment decisions. Multidetector CT has the advantage of shortening the inspection time and obtaining a high resolution image compared to a single detector CT, but has been pointed out the disadvantage of increasing the radiation exposure. In addition, when the low tube voltage is used to reduce the exposure dose in the CT, noise increases relatively. In the existing method, the method of finding the optimal image quality using the method of adjusting the parameters of the image reconstruction method is not a fundamental measure. In this study, we applied a double-tree complex wavelet algorithm and analyzed the results to maintain the normal signal and remove only noise. Experimental results show that the noise is reduced from 8.53 to 4.51 when using a complex oriented 2D method with 100kVp and 0.5sec rotation time. Through this study, it was possible to remove the noise and reduce the patient dose by using the optimal noise reduction algorithm. The results of this study can be used to reduce the exposure of patients due to the low dose of CT.

A study on evaluation of the image with washed-out artifact after applying scatter limitation correction algorithm in PET/CT exam (PET/CT 검사에서 냉소 인공물 발생 시 산란 제한 보정 알고리즘 적용에 따른 영상 평가)

  • Ko, Hyun-Soo;Ryu, Jae-kwang
    • The Korean Journal of Nuclear Medicine Technology
    • /
    • v.22 no.1
    • /
    • pp.55-66
    • /
    • 2018
  • Purpose In PET/CT exam, washed-out artifact could occur due to severe motion of the patient and high specific activity, it results in lowering not only qualitative reading but also quantitative analysis. Scatter limitation correction by GE is an algorism to correct washed-out artifact and recover the images in PET scan. The purpose of this study is to measure the threshold of specific activity which can recovers to original uptake values on the image shown with washed-out artifact from phantom experiment and to compare the quantitative analysis of the clinical patient's data before and after correction. Materials and Methods PET and CT images were acquired in having no misalignment(D0) and in 1, 2, 3, 4 cm distance of misalignment(D1, D2, D3, D4) respectively, with 20 steps of each specific activity from 20 to 20,000 kBq/ml on $^{68}Ge$ cylinder phantom. Also, we measured the distance of misalignment of foley catheter line between CT and PET images, the specific activity which makes washed-out artifact, $SUV_{mean}$ of muscle in artifact slice and $SUV_{max}$ of lesion in artifact slice and $SUV_{max}$ of the other lesion out of artifact slice before and after correction respectively from 34 patients who underwent $^{18}F-FDG$ Fusion Whole Body PET/CT exam. SPSS 21 was used to analyze the difference in the SUV between before and after scatter limitation correction by paired t-test. Results In phantom experiment, $SUV_{mean}$ of $^{68}Ge$ cylinder decreased as specific activity of $^{18}F$ increased. $SUV_{mean}$ more and more decreased as the distance of misalignment between CT and PET more increased. On the other hand, the effect of correction increased as the distance more increased. From phantom experiments, there was no washed-out artifact below 50 kBq/ml and $SUV_{mean}$ was same from origin. On D0 and D1, $SUV_{mean}$ recovered to origin(0.95) below 120 kBq/ml when applying scatter limitation correction. On D2 and D3, $SUV_{mean}$ recovered to origin below 100 kBq/ml. On D4, $SUV_{mean}$ recovered to origin below 80 kBq/ml. From 34 clinical patient's data, the average distance of misalignment was 2.02 cm and the average specific activity which makes washed-out artifact was 490.15 kBq/ml. The average $SUV_{mean}$ of muscles and the average $SUV_{max}$ of lesions in artifact slice before and after the correction show a significant difference according to a paired t-test respectively(t=-13.805, p=0.000)(t=-2.851, p=0.012), but the average $SUV_{max}$ of lesions out of artifact slice show a no significant difference (t=-1.173, p=0.250). Conclusion Scatter limitation correction algorism by GE PET/CT scanner helps to correct washed-out artifact from motion of a patient or high specific activity and to recover the PET images. When we read the image occurred with washed-out artifact by measuring the distance of misalignment between CT and PET image, specific activity after applying scatter limitation algorism, we can analyze the images more accurately without repeating scan.

Automatic Segmentation of the Interest Organ Region in CT Images Using Region Growing (CT 영상에서 Region Growing 기법을 이용한 관심 장기 영역의 자동 추출)

  • Bae, Ho-Young;Lee, Wu-Ju;Lee, Bae-Ho
    • Proceedings of the Korean Information Science Society Conference
    • /
    • 2006.10b
    • /
    • pp.526-530
    • /
    • 2006
  • 논문은 CT영상에서 영역 확장 기법을 이용하여 인간의 장기 중 뇌와 간을 자동으로 추출할 수 있는 방법을 제안한다. 이는 뇌와 간이 CT영상에서 비교적 넓은 영역을 차지하고 있다는 사실에 기인하였으며, CT영상에서 특정 장기 영역을 추출하기 위해서 크게 초기 탐색 영역 결정 단계와 최종 장기 영역 단계로 나누어진다. 초기 탐색 영역은 CT영상 내에서 추출하고자 하는 장기 영역과 관계없는 부분을 제거하고 특정 장기 영역만을 남겨 관심 장기 영역의 검출률을 높이는 작업이다. 본 논문에서는 CT영상에서 비교적 높은 Gray Level을 가지고 있는 뼈영역인 두개골과 척추의 위치를 기반으로 하여 초기 탐색 영역을 결정하는 방법을 사용하였다. 특정 장기 영역의 추출은 ATID(Automatic Threshold Intensity Decision)를 이용한 이진화 단계, 모폴로지의 Opening 기법을 이용한 잡음제거 단계, Region Growing 기법을 이용한 특정 영역 추출 단계를 이용하는 과정을 거친다. 본 논문에서는 Region Growing 기법을 거친 다음 각각의 그룹 중에서 크기가 가장 큰 부분을 최종 특정 장기 영역으로 결정하였다. 본 논문에서 제안한 알고리즘은 국립전남대학교 부속병원에서 수집된 각각 뇌영상 100장과 간영상 100장을 사용하여 실험하였고, 제안된 알고리즘을 통해 관심 장기 영역을 추출했을 경우 약 91%이상의 높은 추출률을 보였다.

  • PDF

Automatic Segmentation of Stomach from the CT Image (CT 영상에서 위(Stomach)의 자동적인 추출)

  • 박승란;박종원;노승무
    • Proceedings of the Korean Information Science Society Conference
    • /
    • 1999.10b
    • /
    • pp.428-430
    • /
    • 1999
  • 컴퓨터 단층촬영(Computed Tomography : CT)내의 위(stomach)에 대하여 연구하였다. 위는 모양이 변하면서 움직이는 정기이며 음식물로 채워진 부분과 공기로 채워진 부분으로 나뉘어져 있다. 위의 명암 값 정보와 위치 정보를 이용하여 자동적으로 추출을 한 다음, 음식물로 채워진 부분과 공기로 채워진 부분, 그리고 전체적인 위의 체적을 계산할 수 있는 알고리즘을 구현하였다.

  • PDF

A Current Differential Relaying Algorithm for Bus Protection Using a Compensating Algorithm of Secondary Currents of CTs (변류기 전류보상 알고리즘을 이용한 모선보호용 전류 차동계전 알고리즘)

  • Gang, Yong-Cheol;Yun, Jae-Seong;Kim, Dong-Yong
    • The Transactions of the Korean Institute of Electrical Engineers A
    • /
    • v.49 no.9
    • /
    • pp.446-450
    • /
    • 2000
  • A conventional variable percentage current differential relaying algorithm for bus protection may misoperate for external faults with severe CT saturation and internal faults with high impedance. This paper proposes a percentage differential current relaying algorithm for bus protection combined with a compensating algorithm of secondary currents of CTs. Even though CTs are saturated and their secondary currents are severely distorted, the proposed relaying algorithm does not only misoperate for external faults with CT saturation but also detects the internal faults with high fault impedance. Thus, the method improves the sensitivity of the relays and does not require any counterplan for CT saturation.

  • PDF

A Method and Analysis of Gray Level Shape-Based Interpolation in Medical CT Image (복부CT영상에서의 그레이 수준 형태 기반 보간법)

  • Seong, Won;Park, Jong-Won
    • Proceedings of the Korea Information Processing Society Conference
    • /
    • 2003.05a
    • /
    • pp.631-634
    • /
    • 2003
  • 오늘날 CT나 MR등을 통한 의학 영상 기술과 컴퓨터 성능의 향상으로 인체 내부 장기의 영상을 비교적 용이하게 얻을 수 있으며 얻어진 영상 정보는 컴퓨터로 수치화 되므로 데이터의 조작 및 가공이 용이하다. 그러나, 이렇게 얻어진 의학 영상들은 보통 2 차원적 슬라이스 image 형태로 얻어진다. 일반적으로 슬라이스 사이의 간격은 조사량 등 여러 문제 때문에, 항상 동일한 간격을 유지하고 있지 않은 경우가 많으며 슬라이스 사이 간격이 슬라이스 내의 픽셀 간격보다 큰 경우가 대부분이다. 이러한 image로부터 3 차원적 디스플레이나, 조작, 분석을 하기 위해서는 같은 간격의 image를 얻어야 한다. 이러한 이유로 인하여 보간(Interpolation) 기법이 의학 영상 분야에서 많이 사용된다. 본 논문은 형태-기반 보간 방법을 gray-scale image 에 적용이 가능하도록 확장한 그레이 수준 형태 기반 보간 알고리즘을 구현하였다. 그리하여, 본 논문이 제안한 알고리즘을 슬라이스 간격이 큰 2차원 복부 CT 영상에 적용시켜 다른 보간 법들보다 향상된 결과를 확인할 수 있었다.

  • PDF

Algorithm of low dose CT based automatic lung nodule detection (저선량 CT 기반 폐 결절 자동 검출 알고리즘)

  • Ko, Hoon;Lee, Woo Chan;Moon, Chanki;Nam, Yunyoung;Lee, Jinseok
    • Proceedings of the Korea Information Processing Society Conference
    • /
    • 2015.04a
    • /
    • pp.1041-1043
    • /
    • 2015
  • 본 논문은 저선량 흉부 CT 영상을 활용하여 패결절을 자동으로 검출하는 알고리즘에 관한 연구내용을 담고 있다. 폐 결절 자동 검출을 위해 폐 CT 영상 내에 폐결절의 가지고 있는 특징들 중, 이동성 및 기하학적 특징을 가지고 폐혈관과 폐결절을 구분하였다. 실험한 영상은 폐결절이 없는 정상환자군을 가지고 실시 하였으며, 그 결과 4.4False Positive / Scan이 발생하였다.

The Algorithm Improved the Speed for the 3-Dimensional CT Video Composition (3D CT 동영상 구성을 위한 속도 개선 알고리즘)

  • Jeong, Chan-Woong;Park, Jin-Woo;Jun, Kyu-Suk
    • The Journal of the Acoustical Society of Korea
    • /
    • v.28 no.2
    • /
    • pp.141-147
    • /
    • 2009
  • This paper presents a new fast algorithm, rotation-based method (RBM), for the reconstruction of 3 dimensional image for cone beam computerized tomography (CB CT) system. The system used cone beam has less exposure time of radioactivity than fan beam. The Three-Pass Shear Matrices (TPSM) is applied, that has less transcendental functions than the one-pass shear method to decrease a time of calculations in the computer. To evaluate the quality of the 3-D images and the time for the reconstruction of the 3-D images, another 3-D images were reconstructed by the radon transform under the same condition. For the quality of the 3-D images, the images by radon transform was shown little good quality than REM. But for the time for the reconstruction of the 3-D images REM algorithm was 35 times faster than radon transform. This algorithm offered $4{\sim}5$ frames a second. It meant that it will be possible to reconstruct the 3-D dynamic images in real time.

Algorithm to Shorten Imaging Time in Fluorescent X-ray Computed Tomogrpahy (형광 X선 CT에서 촬상 시간의 단축화 알고리즘)

  • 정남채
    • Journal of the Institute of Convergence Signal Processing
    • /
    • v.2 no.4
    • /
    • pp.46-52
    • /
    • 2001
  • In this paper it was examined both imaging system and processing algorithm for imaging's high speedization of fluorescent X-ray computed tomography using synchrotron radiation, The electronic system was used for dead time by about 6% but shortening of measure time was achieved by 2 seconds per 1 point. Also efficiency of reconstruction algorithm was proved, and memory and calculation amount was decreased by about 1/100 The fixed quantity was confirmed by physical phantom, and iodine distribution was presumed from image of thyroid gland in vitro These result shows realization possibility of fluorescent X-ray computed tomography measure in vivo.

  • PDF

Effect of Iterative-metal Artifact Reduction (iMAR) at Tomotherapy: a Phantom Study (토모테라피에서 반복적 금속 인공물 감소 알고리즘의 유용성 평가: 팬톰 실험)

  • Daegun, Kim;Jaehong, Jung;Sungchul, Kim
    • Journal of the Korean Society of Radiology
    • /
    • v.16 no.6
    • /
    • pp.709-718
    • /
    • 2022
  • We evaluated the effect of high-density aluminum, titanium, and steel metal inserts on computed tomography (CT) numbers and radiation treatment plans for Tomotherapy. CT images were obtained using a cylindrical TomoPhantom comprising cylindrical rods of various densities and metal inserts. Three CT image sets were evaluated for image quality as the mean CT number and standard deviation. Dose evaluation also performed. The reference values did not significantly differ between the CT image sets with the corrected metal inserts. The higher-density material exhibited the largest difference in the mean CT number and standard deviation. The conformity index at Iterative-Metal Artifact Reduction (iMAR) was approximately 20% better than that of non-iMAR. No significant target or organ at risk dose difference was observed between non-iMAR and iMAR. Therefore, iMAR is helpful for target or organ at risk delineation and for reducing uncertainty for three-dimensional conformal radiation therapy in Tomotherapy.