• 제목/요약/키워드: Region-based reconstruction

검색결과 144건 처리시간 0.019초

전외측 대퇴 유리 피판을 이용한 아킬레스건 부위 연부조직 결손의 재건 (Reconstruction of Soft Tissue Defects over the Achilles Tendon Region Using Anterolateral Thigh Free Flap)

  • 강민혁;홍준표
    • Archives of Reconstructive Microsurgery
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    • 제11권2호
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    • pp.162-166
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    • 2002
  • The anterolateral thigh free flap was first reported by Song et al. in 1984 as a fasciocutaneous flap based on septocutaneous or musculocutaneous perforators of the lateral femoral circumflex vessel. It only becomes popular recently through confirmation of additional anatomy. For reconstruction of Achilles area defect, a thin flap is required to improve aesthetic and functional results. The anterolateral thigh free flap is relatively thin and can provide large skin area. It can be a useful option for reconstruction of Achilles area defect based on these characters. Since March 2002, we have successfully transferred 4 anterolateral thigh free flaps to reconstruct Achilles area defects and have attained good range of motion in this region. The anterolateral thigh free flap has many advantages and can be used for the reconstruction of Achilles tendon area defect.

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영역의 크기와 휘도값의 대조를 고려한 수리형태학적 영상재구성 (Morphological Grayscale Reconstruction Based on the Region Size and Brightness Contrast)

  • 김태현;문영식
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 1999년도 학술대회
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    • pp.3-8
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    • 1999
  • In this paper, we propose a new connected operator using morphological grayscale reconstruction for region-based coding. First, an effective method of reference-image creation is proposed, which is based on the size as well as the contrast. The conventional connected operators are good for removing small regions, but have a serious drawback for low-contrast regions that are larger than the structuring element. That is, when the conventional connected operators are applied to these regions. the simplification becomes less effective or several meaningful regions are merged to one region. To avoid this, the conventional geodesic dilation is modified to propose an adaptive operator. To reduce the effect of inappropriate propagation, pixels reconstructed to the original values are excluded in the dilation operation. Experimental results have shown that the proposed algorithm achieves better performance in terms of the reconstruction of flat zones. The picture quality has also been improved by about 7dB, compared to the conventional methods.

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Scalp injury management by a maxillofacial surgeon in a low-resource hospital

  • Frimpong, Paul;Nguyen, Truc Thi Hoang;Nimatu, Edinam Salia;Amponsah, Emmanuel Kofi;Kim, Soung Min
    • Maxillofacial Plastic and Reconstructive Surgery
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    • 제42권
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    • pp.39.1-39.5
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    • 2020
  • Background: Head or scalp injury is a life-threatening and typically accidental human injury. Most medical departments require immediate medical treatment and proper treatment with specialized medical personnel and facilities. However, in low-resource environments, such as the rural region of West Africa, the authors have treated emergency trauma patients and provided immediate treatment despite lack of resources. Case presentation: We reviewed three cases of scalp injury patients, with representative clinical information, and used these cases to outline feedback on scalp trauma treatment based on the specialty knowledge of general and emergency surgeon. Conclusions: Oral and maxillofacial surgeons are medical specialists that can immediately diagnose and treat these scalp injuries based on their medical knowledge and experience with the maxillofacial region.

SIFT-based Stereo Matching to Compensate Occluded Regions and Remove False Matching for 3D Reconstruction

  • Shin, Do-Kyung;Lee, Jeong-Ho;Moon, Young-Shik
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 2009년도 IWAIT
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    • pp.418-422
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    • 2009
  • Generally, algorithms for generating disparity maps can be clssified into two categories: region-based method and feature-based method. The main focus of this research is to generate a disparity map with an accuracy depth information for 3-dimensional reconstructing. Basically, the region-based method and the feature-based method are simultaneously included in the proposed algorithm, so that the existing problems including false matching and occlusion can be effectively solved. As a region-based method, regions of false matching are extracted by the proposed MMAD(Modified Mean of Absolute Differences) algorithm which is a modification of the existing MAD(Mean of Absolute Differences) algorithm. As a feature-based method, the proposed method eliminates false matching errors by calculating the vector with SIFT and compensates the occluded regions by using a pair of adjacent SIFT matching points, so that the errors are reduced and the disparity map becomes more accurate.

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저해상도 얼굴 영상의 해상도 개선을 위한 영역 기반 복원 방법 (Region-Based Reconstruction Method for Resolution Enhancement of Low-Resolution Facial Image)

  • 박정선
    • 한국정보과학회논문지:소프트웨어및응용
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    • 제34권5호
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    • pp.476-486
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    • 2007
  • 본 논문에서는 영역 기반 복원 방법을 통하여 한 장의 저해상도 얼굴 영상으로부터 고해상도 얼굴 영상을 복원하는 방법을 제안한다. 제안된 방법은 예제 기반 복원과 얼굴 영상을 형태 정보와 질감 정보로 나누어 표현하는 변형 가능 얼굴 모형에 기반한다. 먼저, 예제 기반 복원 방법의 성능을 개선하기 위하여, 전역 복원 결과와 국부적 복원 결과를 결합하는 영역 기반 복원 방법을 제안한다. 또한, 변형 가능 얼굴 모형의 장점을 해상도 복원에 적용하기 위하여, 확장된 변형 가능 얼굴 모형을 정의한다. 제안된 모형에서 얼굴 영상은 저해상도 얼굴 영상, 보간법을 통해 개선한 고해상도 얼굴 영상, 그리고 원래의 고해상도 얼굴 영상의 쌍으로 구성되며, 이는 다시 확장된 형태 정보와 확장된 질감 정보로 나뉜다. 다양한 실험을 통하여, 제안된 방법이 저해상도 얼굴 영상으로부터 고해상도 얼굴 영상을 효과적으로 복원함을 입증하였으며, 이 방법을 사용하여 원거리 감시 시스템에서 획득된 저해상도 얼굴 영상을 고해상도 얼굴 영상으로 합성함으로써, 얼굴 인식 시스템의 성능을 높일 수 있는 가능성을 확인하였다.

Neighboring Elemental Image Exemplar Based Inpainting for Computational Integral Imaging Reconstruction with Partial Occlusion

  • Ko, Bumseok;Lee, Byung-Gook;Lee, Sukho
    • Journal of the Optical Society of Korea
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    • 제19권4호
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    • pp.390-396
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    • 2015
  • We propose a partial occlusion removal method for computational integral imaging reconstruction (CIIR) based on the usage of the exemplar based inpainting technique. The proposed method is an improved version of the original linear inpainting based CIIR (LI-CIIR), which uses the inpainting technique to fill in the data missing region. The LI-CIIR shows good results for images which contain objects with smooth surfaces. However, if the object has a textured surface, the result of the LI-CIIR deteriorates, since the linear inpainting cannot recover the textured data in the data missing region well. In this work, we utilize the exemplar based inpainting to fill in the textured data in the data missing region. We call the proposed method the neighboring elemental image exemplar based inpainting (NEI-exemplar inpainting) method, since it uses sources from neighboring elemental images to fill in the data missing region. Furthermore, we also propose an automatic occluding region extraction method based on the use of the mutual constraint using depth estimation (MC-DE) and the level set based bimodal segmentation. Experimental results show the validity of the proposed system.

Autologous Microvascular Breast Reconstruction

  • Healy, Claragh;Ramakrishnan, Venkat
    • Archives of Plastic Surgery
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    • 제40권1호
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    • pp.3-10
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    • 2013
  • Autologous microvascular breast reconstruction is widely accepted as a key component of breast cancer treatment. There are two basic donor sites; the anterior abdominal wall and the thigh/buttock region. Each of these regions provides for a number of flaps that are successfully utilised in breast reconstruction. Refinement of surgical technique and the drive towards minimising donor site morbidity whilst maximising flap vascularity in breast reconstruction has seen an evolution towards perforator based flap reconstructions, however myocutaneous flaps are still commonly practiced. We review herein the current methods of autologous microvascular breast reconstruction.

Comparison of local flaps versus skin grafts as reconstruction methods for defects in the medial canthal region

  • Min Hak Lee;Hoon Soo Kim;Yong Chan Bae
    • 대한두개안면성형외과학회지
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    • 제25권3호
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    • pp.133-140
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    • 2024
  • Background: The medial canthal region features a complex three-dimensional and internal anatomical structure. When reconstructing a defect in this area, it is crucial to consider both functional and aesthetic aspects, which presents significant challenges. Generally, local flaps are preferred for reconstruction; however, skin grafts can be used when local flaps are not feasible. Therefore, we conducted a comparative analysis of surgical outcomes skin grafts when local flaps were not feasible, to determine which surgical method is more effective for medial canthal region reconstruction. Methods: Twenty-five patients who underwent medial canthal region reconstruction using skin grafts or local flaps from 2002 to 2021 were enrolled. Patient information was obtained from medical records. Five plastic surgeons evaluated the surgical outcomes based on general appearance, color, contour, and symmetry. Results: Skin grafts were used in eight patients and local flaps were used in 13. Combined reconstructions were employed in four cases. Minor complications arose in four cases but improved with conservative treatment. No major complications were reported. Recurrence of the skin cancer was noted in two cases. All categories showed higher scores for the local flap compared to both skin graft and combined reconstruction; however, the differences were not statistically significant respectively. Conclusion: The choice of appropriate surgical methods for reconstructing defects in the medial canthal region depends on various factors, including the patient's overall health, the size and depth of the defect, and the degree of involvement of surrounding structures. When a local flap is not feasible, a skin graft may provide favorable surgical outcomes. Therefore, a skin graft can serve as a viable alternative for reconstructing the medial canthal region.

Region-based scalable self-recovery for salient-object images

  • Daneshmandpour, Navid;Danyali, Habibollah;Helfroush, Mohammad Sadegh
    • ETRI Journal
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    • 제43권1호
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    • pp.109-119
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    • 2021
  • Self-recovery is a tamper-detection and image recovery methods based on data hiding. It generates two types of data and embeds them into the original image: authentication data for tamper detection and reference data for image recovery. In this paper, a region-based scalable self-recovery (RSS) method is proposed for salient-object images. As the images consist of two main regions, the region of interest (ROI) and the region of non-interest (RONI), the proposed method is aimed at achieving higher reconstruction quality for the ROI. Moreover, tamper tolerability is improved by using scalable recovery. In the RSS method, separate reference data are generated for the ROI and RONI. Initially, two compressed bitstreams at different rates are generated using the embedded zero-block coding source encoder. Subsequently, each bitstream is divided into several parts, which are protected through various redundancy rates, using the Reed-Solomon channel encoder. The proposed method is tested on 10 000 salient-object images from the MSRA database. The results show that the RSS method, compared to related methods, improves reconstruction quality and tamper tolerability by approximately 30% and 15%, respectively.

A MODIFIED CAHN-HILLIARD EQUATION FOR 3D VOLUME RECONSTRUCTION FROM TWO PLANAR CROSS SECTIONS

  • Lee, Seunggyu;Choi, Yongho;Lee, Doyoon;Jo, Hong-Kwon;Lee, Seunghyun;Myung, Sunghyun;Kim, Junseok
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • 제19권1호
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    • pp.47-56
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    • 2015
  • In this paper, we present an implicit method for reconstructing a 3D solid model from two 2D cross section images. The proposed method is based on the Cahn-Hilliard model for the image inpainting. Image inpainting is the process of reconstructing lost parts of images based on information from neighboring areas. We treat the empty region between the two cross sections as inpainting region and use two cross sections as neighboring information. We initialize the empty region by the linear interpolation. We perform numerical experiments demonstrating that our proposed method can generate a smooth 3D solid model from two cross section data.