• The Journal of the Korea Contents Association
• /
• v.14 no.11
• /
• pp.558-574
• /
• 2014

The number of fatty liver patients is sharply growing due to the rapid increase in the incidence of metabolic syndrome, which can lead to diseases such as abdominal obesity, hypertension, diabetes, and hyperlipidemia. Early diagnosis requires examinations using magnetic resonance imaging (MRI), wherein quantitative analyses are implemented through a professional water-fat separation method in many cases, as the intensity values of the areas of interest and non-interest are considerably similar or the same. However, such separation method generates inaccurate results in high magnetic fields, where the inhomogeneity of the fields increases. To overcome the limits of such conventional fat quantification methods, this paper proposes a field map estimation method that is effective in high magnetic fields. This method generates field maps through echo images that are obtained using the existing IDEAL sequences, and considers the wrapping degree of the field maps. Then clustering is performed to separate calibration areas, the least square fits based on the region growing method schema of the separated calibration areas, and the histograms are adjusted to separate the water from the fats. In experiment results, our proposed method had a superior fat detection rate of an average of 86.4%, compared to the ideal method with an average of 61.5% and Yu's method with an average of 62.6%. In addition, it was confirmed that the proposed method had a more accurate water detection rate of 98.4% on the average than the 88.6% average of the fat saturation method.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2003.05a
• /
• pp.591-594
• /
• 2003

본 논문에서는 hopfield 신경망을 사용한 다양한 부분적인 패턴 복원에 관하여 연구하였다. 여섯 개의 $32{\times}32$ 비트맵 훈련패턴들은 한글자음 ㄱ, ㅁ, ㅂ, ㅇ, ㅊ, ㅍ, 그리고 남자와 여자 이미지로 구성되어 있다. 그리고 부분패턴들의 크기, 범위, 방향의 효과를 알아보기 위해서 훈련패턴에서 여덟 가지 형태의 테스트 패턴을 만든다. 한글 자음의 경우 유사 패턴이 많기 때문에 완전히 복원되지 못하였으나, 400회 정도 수렵된 후에는 테스트패턴들이 견본패턴과 비슷한 모양으로 복원되었다. 이 유사도를 측정하기 위해 해밍거리 (Hamming distance)를 이용하였다. 유사도를 측정하여 해밍거리가 가장 적은 것으로 본래의 이미지들 복원하였다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2014.06a
• /
• pp.101-104
• /
• 2014

3차원 영상 제작을 위해서는 장면의 색상 영상과 함께 깊이 정보가 필요하다. 일반적으로 깊이를 측정하는 TOF 카메라에 의해 획득된 깊이 영상은 컬러 영상에 비해 매우 작은 해상도의 영상을 갖게 되는 문제가 있다. 따라서 색상 영상과 함께 3차원 영상 제작에 깊이 영상을 사용하기 위해서는 저해상도 깊이 영상의 업샘플링 방법이 필요하다. 특히 컬러 영상에서 사물 간의 경계에 해당하는 부분에서 색상 차이를 인지하지 못하여 깊이 맵을 부적절하게 처리하게 되는 경우가 발생한다. 본 논문에서는 색상 영상에서 경계부분에 해당하는 영역을 이용하여 저해상도 깊이 영상을 업샘플링 하는 방법을 제안한다. 깊이 영상을 업샘플링 할 때 중요하게 다루어야 할 경계 부분을, 고해상도 색상 영상과 저해상도 깊이 영상을 이용하여 찾아낸다. 색상 경계 부분을 고려하여 깊이 영상 업샘플링을 위한 에너지 함수를 MRF를 이용하여 모델링하고, 신뢰 확산(belief propagation)방법을 이용하여 에너지 함수 최적화를 수행한다. 제안한 방법은 기존의 다른 에너지 함수나 필터 기반 업샘플링 방법보다 우수한 성능을 나타내었다.

• Journal of the Korean Society of Radiology
• /
• v.14 no.1
• /
• pp.53-60
• /
• 2020

The purpose of this study is to identify factors affecting picture quality in Roadmap images, which were studied by varying the dilution rate, collimation field and flow rate of contrast medium. For a quantitative evaluation of the quality of the picture, a 3mm vessel model Water Phantom was self-produced using acrylic, a roadmap image was acquired with a self-produced vascular model Water Phantom, and the SNR(Signal to Noise Ratio) and CNR (Contrast to Noise Ratio) were analyzed. CM:N/S In the study on the change of dilution rate, CM:N/S dilution rate changed to (100%~10%:100%), and the measurement of the roadmap image taken using the vascular model Water Phantom showed that the measurement value of SNR gradually decreased as the N/S dilution rate was increased, and the measurement of CNR was gradually reduced. It was confirmed that the higher the dilution rate of CM:N/S, the lower the SNR and CNR, and also significant image can be obtained at the dilution rate of CM:N/S (100%~70:30%). The study showed the value of SNR and CNR in Roadmap image was increased as the Collimation Field was narrowed to the center of the vascular phantom; the Collimation Field was narrowed to the center of the vessel model by 2cm intervals to 0cm through 12cm. To verify the relationship with Roadmap image and Flow Rate, volume of the autoinjector was kept constant at 15 and the flow rate was gradually increased 1, 2, 3, 4, 5, 6, 7, 8, 9, 10. The value of SNR and CNR of images taken by using water Phantom gradually decreased as the Flow Rate increased, but at Flow Rate 9 and 10, the SNR and CNR value was increase. It was not possible to confirm the relationship with SNR and CNR by ROI mean value and Background mean value. It is considered that further study is needed to evaluate the correlation about Roadmap image and Flow Rate. In conclusion, as the dilution rate of N/S in contrast medium was increased, the value of SNR and CNR was decreased. The narrower the Collimation Field, the higher image quality by increasing value of SNR and CNR. However, it is not confirmed the relationship Roadmap image and Flow Rate. It is considered that appropriate contrast medium concentration to minimize the effects of kidney and proper Collimation Field to improve contrast of image and reduce exposure X-ray during procedure is needed.