• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
• /
• 제15권9호
• /
• pp.700-704
• /
• 2009

본 논문은 영상보정 및 다단계 정합을 통한 전립선의 MR 영상과 병리 영상 간의 융합방법을 제안한다. 제안 방법은 영상보정, 강체 정합, 비강체 정합, 영상융합의 네 단계로 이루어진다. 첫째, 영상보정 단계에서 T2 MR 강조 영상의 출혈 부위의 자기값을 T1 MR 강조 영상의 자기값으로 대체시키고, 2, 4장으로 분리된 병리 영상을 한장의 영상으로 만든 후 MR 영상과 동일한 해상도로 줄인다. 둘째, 전립선의 T2 MR 강조 영상과 병리 영상 간에 자기간의 상호정보를 최적화하는 강체변환을 구한다. 셋째, TPS 와핑을 이용하여 병리 영상의 전립선 부위가 T2 MR 강조 영상의 전립선 부위에 정합되는 비강체변환을 구한다. 넷째, MR 영상과 변환을 적용시킨 병리 영상을 융합한다. 실험 결과 영상보정 및 다단계 정합 후의 전립선의 T2 MR 강조 영상과 병리 영상의 간의 평균 거리 오차는 0.8815 mm였고, 두 영상의 융합을 통해 T2 MR 강조 영상에서 전립선 암의 위치를 정확하게 볼 수 있었다.

• Nuclear Engineering and Technology
• /
• 제51권6호
• /
• pp.1610-1615
• /
• 2019

Positron emission tomography (PET)/magnetic resonance (MR) scanning has the advantage of less additional exposure to radiation than does PET/computed tomography (CT). In particular, MR based attenuation correction (MR AC) can greatly affect the image quality of PET and is frequently obtained using various MR sequences. Thus, the purpose of the current study was to quantitatively compare the image quality between MR non-AC (MR NAC) and MR AC in PET images with three MR sequences. Percent image uniformity (PIU), percent contrast recovery (PCR), and percent background variability (PBV) were estimated to evaluate the quality of PET images with MR AC. Based on the results of PIU, 15.2% increase in the average quality was observed for PET images with MR AC than for PET images with MR NAC. In addition, 28.6% and 71.1% improvement in the average results of PCR and PBV respectively, was observed for PET images with MR AC compared with that with MR NAC. Moreover, no significant difference was observed among the average values using three MR sequences. In conclusion, the current study demonstrated that PET with MR AC improved the image quality and can be help diagnosis in all MR sequence cases.

• Journal of Radiation Protection and Research
• /
• 제44권4호
• /
• pp.149-155
• /
• 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.

• Journal of Ginseng Research
• /
• 제32권4호
• /
• pp.332-336
• /
• 2008

홍삼은 외부형태 및 내부조직품질에 의하여 등급이 분류되고, 3등급이하의 홍삼은 본삼으로 판매하지 않는다. 또한 등급에 따라 가격차이가 매우 큼으로 저급홍삼에 고급홍삼이 혼입되면 경제적 손실이 발생하고, 고급 등급의 홍삼에 하위등급의 홍삼이 혼입되면 클레임이 발생된다. 현재 슬${\hat{e}}{\ddot{u}}$을 이용한 육안검사는 검사자에 따라 기준이 통일되기 어렵고, 오차를 일으킬 가능성이 있어 홍삼의 비 파괴내부조직검사의 가능성을 조사하기 위하여 본 연구를 수행하였다. 홍삼시료의 수분함량은 $10{\sim}13%$에서 MR image를 획득 후 절단하여 MR image가 실제 절단면과 일치하는지 비교 관찰하였다. 홍삼 내부조직의 단면을 보기 위하여 동일한 조건의 Spin echo pulse sequence에서 시간, slice thickness, 온도별로 MR image를 얻었다. 홍삼은 수분함량이 낮기 때문에 MR 신호가 매우 미약하여 single point image(SPI) 측정방법으로는 약 30분 이상 시간이 소요되었다. 그러나 spin echo pulse sequence에서 내부조직을 구분할 수 있는 적당한 시간은 TE(Echo Time) 2.23 ms, TR(Repetition Time) 150 ms에서 약 9초 동안 측정으로 내부조직판별이 가능하였다. Slice thickness를 3, 5, 10 mm로 변화를 주어 측정한 결과 10 mm로 하였을 때 9초 이내에 내부조직 판별이 충분히 가능한 image를 얻을 수 있었다. 55로 약 30분간 시료를 가온 후 얻은 image가 상온에서 얻은 것보다 더 선명하였다. 이러한 원인은 온도를 가함으로서 수분의 활성이 높아져 MR 신호가 더 강해지는 것으로 생각된다. 이로서 짧은 시간에 홍삼의 MR Image를 획득하여 내부조직 특성을 비교 관찰할 수 있었다. 이러한 방법은 홍삼의 내부조직 평가에 활용가능성이 있을 것으로 판단된다.

• 한국방사선학회논문지
• /
• 제18권1호
• /
• pp.37-44
• /
• 2024

MR은 우수한 연조직 대비와 기능 정보를 보여줄 수 있지만, 방사선치료에서 정확한 선량 계산을 위해서는 CT영상의 전자밀도 정보가 필요하다. 방사선치료(Radiotherapy) 계획 워크플로우에서 MR영상과 CT영상을 융합하기 위해 환자는 일반적으로 MR과 CT영상 방식 모두에서 스캔된다. 최근에 딥러닝기술 덕분에 MR영상에서 딥러닝 기반의 CT영상 생성이 가능해졌다. 이로 인해 CT 스캔 작업을 할 필요가 없게 된다. 본 연구에서는 MR영상으로부터 CycleGan 딥러닝 기반 CT영상생성을 구현했다. T1가중이나 T2가중 중에 한 가지 또는 그 둘다의 MR영상을 가지고 합습한 3가지의 인공지능 CT생성기를 만들었다. 결과에서 우리는 T1가중 MR 영상 기반으로 학습한 생성기가 T1가중 MR영상이 입력될 때 다른 CT생성기보다 더 나은 결과를 생성할 수 있음을 발견했다. 반면, T2가중 MR영상 기반 CT생성기는 T2가중 MR영상을 입력 받을 때, 다른 시퀀스기반 CT생성기보다 더 나은 결과를 생성할 수 있습니다. MR영상을 기반으로 한 CT생성기는 곧 임상현장에 적용될 수 있는 기술이다. 특정 시퀀스 MR영상으로 학습한 머신러닝 CT생성기는 다른 시퀀스 MR영상으로 학습한 생성기보다 더 그 특정 시퀀스와 같은 MR영상을 입력받을 때 더 나은 CT영상을 생성할 수 있음을 보여주었다.

• Journal of Korean Neurosurgical Society
• /
• 제30권10호
• /
• pp.1182-1186
• /
• 2001

Objectives : MR fluid-attenuated inversion recovery(FLAIR) image uses paired long inversion time and relaxation time that nulls the signal from CSF. With nulling of the CSF long echo time readout could be used to increase T2-weighting, hence improving the conspicuousness of most tissue lesions without the deleterious effects of CSF artifact seen on T2 weighted sequence. We examed the usefulness of FALIR image in the diagnosis of mild head injury. Methods : A total of 38 patients with mild head injury were examined by FLAIR image. We compared those images with CT scan and T1, T2-weighted images. Careful observation of MR images were done by two well-trained neuroradiologists. Each image was compared for conspicuousness and detectability of traumatic lesions might have shown abnormal signal intensities. The Wilcoxon signed ranks test was used for statistical evaluation. Results : The FLAIR image was significantly more sensitive than those of other images(p<0.001). T2 FFE(Fast Field Echo) image was more useful for detection of small petechial hemorrhages. Conclusion : FLAIR image is considered to be more sensitive than those of conventional MR images in the evaluation of mild head injuries.

• 대한방사선치료학회지
• /
• 제11권1호
• /
• pp.43-48
• /
• 1999

Purpose : For practical application of the MR image for stereotactic radiosurgery, the target point achieved by acquisition of MR image in a relatively homogeneous phantom has to agree with the actual isocenter of irradiation in real radiosurgery and the amount of distortion of the MR image should be known. Materials and Methods : A dosimetric film with a random target point was inserted into a radish vertically and horizontally on axis Z and they were fixed with a headring. After image acquisition by stereotactic radiosurgery planning system, we achieved stereotactic coordinate of the target point and examined irradiation using the coordinate acquired as isocenter. After the irradiation, the film in the radish was developed and processed and the degree of coincidence between the target point marked on the film and the center of the radiation distribution. In order to measure the degree of distortion of the MR image in a different way, an acryl phantom was made and punctures were made at intervals of 1 cm and a drop of oil was dropped into it. Then, it was inserted into the radish vertically and horizontally on axis Z to acquire the MR image. Each coordinate was achieved and the estimation of distortion of MR image was made both in vertical and horizontal directions Results : The film from the radio was developed and for the one inserted vertically on axis Z, there was a good coincidence in the discrepancy between the target point marked on the film and the center of the radiation distribution. For the one inserted horizontally, the discrepancy between them was under 0.5 mm. As a result of estimating distortion of MR image using acryl, the discrepancy was under 0.45 mm in the case of the phantom inserted vertically on axis Z, and that of the one inserted horizontally was 1.4 mm. Conclusion : We were able to confirm good coincidence in homogeneous phantom in actual treatment position of radiosurgery using the MR image and the discrepancy measured in the analysis of distortion of the MR image did not exceed the permissible level. Therefore, it was evident the system of the hospital is suitable for radiosurgery using MR image.

• 대한의용생체공학회:의공학회지
• /
• 제20권3호
• /
• pp.283-290
• /
• 1999

Mr(Magnetic Resonance ) 영상은 인체 기관의 상태에 관한 많은 정보를 가지고 있어 이것을 분석하여 가시화하면 의료 진단에 유용하게 이용될 수 있다. MR 영상의 가시화는 영상의 획득, 전처리, 조직 분류, 보간, 렌더링의 단계로 이루어진다. 이 단계 중 Mr 영상의 불완전성 때문에 현재 조직 분류 및 보간이 문제로 되어 있다. 본 논문에서는 머리 MR 영상을 대상으로 조직 분류 및 보간에 대한 기법을 제안하고 제안된 기법을 바탕으로 뇌를 3차원 가시화한다. 조직 분류 기법에서는 뇌조직 성분 구성 등 임상 실험에 의해 밝혀진 뇌에 대한 구조적인 지식을 단계적으로 이용한다. 보간 기법은 오목 윤곽선에 사용할 수 있게 동적 탄성 보간기법을 개선하였다. 제안한 구조적인 분류 기법 및 보간 기법을 다른 기법과 비교 평가한다.

• 대한치과보철학회지
• /
• 제31권2호
• /
• pp.249-270
• /
• 1993

For understanding of anatomy, physiology, and diseases of human TMJ, it is required to evaluate quantitatively the movement of the disc and condyle head of mandible. The histologic section of cadaver TMJ were examined, and the magnification of the MR image and its details of anatomy were evaluated. And then a quantitative analytic method, by comparing the Sectograph and the MR image of vital human TMJ, was proposed. For this study, 15 subjects(Male, 24~35years) were selected from a prosthodontic examination randomly, and each subject’s five interocclusal rubber registration records were made on the ICP, and 5, 10, 15, and 20mmjaw opening positions. All subjects were radiographed with a Denar Quint Sectograph Image System(Denar Corp., USA), and imaged with a MRP-20EX MR Image System(0.2T, Permanent Magnet Type, Hitachi Medical Corp., Japan) using an 100mm diameter bilateral type surface coil. These images were traced on the acetate tracing paper, and analyzed In this study, the findings led to the following conclusions. 1. In comparison of the histologic section of autopsy specimen with the MR image at the same section, the size(dimension) of MR image was 70% of the real one. It was possible to recognize the shape of articular disc, anterior and posterior attachments, and adjacent soft tissues, because of the excellent reproducibility of anatomical structure. 2. When we compared the amount of joint space on MR image with that of joint space on sectograph, the amount of joint space on sectograph was significantly greater than that of joint space on MR image, except at the top of condylar head. 3. The position of minimum joint space on sectograph at intercuspal position didn't coincide with the middle position of articular disc on MR image, and was approximately in the anterior third of posterior band of articular disc. 4. The amount of condylar movement on MR image at opening movement was greater than that of articular disc movement. From Intercuspal position to 5mm jaw-opening movement, the condylar movement showed hinge one, and over the range 5mm jaw-opening it suggested hinge & translatory one. 5. In terms of area variation of articular disc measured on MR image in sagittal plane, the area of posterior band increased with increasing the amount of Jaw opening, but the area of anterior band decreased conversely.

• 대한의용생체공학회:학술대회논문집
• /
• 대한의용생체공학회 1998년도 추계학술대회
• /
• pp.60-61
• /
• 1998

In this paper, we propose an algorithm for automatic segmentation of 3-dimesional brain MR images. In order to segment 3-dimensional brain MR images, we start segmentation from a mid-sagittal brain MR image. Then the segmented mid-sagittal brain MR image is used as a mask that is applied to the remaining lateral slices. Then we apply preprocessing, which includes thresholding and region-labeling, to the lateral slices, resulting in simplified 3-D brain MR images. Finally, we remove remaining problematic regions in the 3-dimensional brain MR image using the connectivity-based thresholding segmentation algorithm. Experiments show satisfactory results.