• 제목/요약/키워드: Reconstruction matrix

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Secret Image Sharing Scheme using Matrix Decomposition and Adversary Structure (행렬 분해와 공격자 구조를 이용한 비밀이미지 공유 기법)

  • Hyun, Suhng-Ill;Shin, Sang-Ho;Yoo, Kee-Young
    • Journal of Korea Multimedia Society
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    • v.17 no.8
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    • pp.953-960
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    • 2014
  • In Shamir's (t,n)-threshold based secret image sharing schemes, there exists a problem that the secret image can be reconstructed when an arbitrary attacker becomes aware of t secret image pieces, or t participants are malicious collusion. It is because that utilizes linear combination polynomial arithmetic operation. In order to overcome the problem, we propose a secret image sharing scheme using matrix decomposition and adversary structure. In the proposed scheme, there is no reconstruction of the secret image even when an arbitrary attacker become aware of t secret image pieces. Also, we utilize a simple matrix decomposition operation in order to improve the security of the secret image. In experiments, we show that performances of embedding capacity and image distortion ratio of the proposed scheme are superior to previous schemes.

Immediate Direct-To-Implant Breast Reconstruction Using Anatomical Implants

  • Kim, Sung-Eun;Jung, Dong-Woo;Chung, Kyu-Jin;Lee, Jun Ho;Kim, Tae Gon;Kim, Yong-Ha;Lee, Soo Jung;Kang, Su Hwan;Choi, Jung Eun
    • Archives of Plastic Surgery
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    • v.41 no.5
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    • pp.529-534
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    • 2014
  • Background In 2012, a new anatomic breast implant of form-stable silicone gel was introduced onto the Korean market. The intended use of this implant is in the area of aesthetic breast surgery, and many reports are promising. Thus far, however, there have been no reports on the use of this implant for breast reconstruction in Korea. We used this breast implant in breast reconstruction surgery and report our early experience. Methods From November 2012 to April 2013, the Natrelle Style 410 form-stable anatomically shaped cohesive silicone gel-filled breast implant was used in 31 breasts of 30 patients for implant breast reconstruction with an acellular dermal matrix. Patients were treated with skin-sparing mastectomies followed by immediate breast reconstruction. Results The mean breast resection volume was 240 mL (range, 83-540 mL). The mean size of the breast implants was 217 mL (range, 125-395 mL). Breast shape outcomes were considered acceptable. Infection and skin thinning occurred in one patient each, and hematoma and seroma did not occur. Three cases of wound dehiscence occurred, one requiring surgical intervention, while the others healed with conservative treatment in one month. Rippling did not occur. So far, complications such as capsular contracture and malrotation of breast implant have not yet arisen. Conclusions By using anatomic breast implants in breast reconstruction, we achieved satisfactory results with aesthetics better than those obtained with round breast implants. Therefore, we concluded that the anatomical implant is suitable for breast reconstruction.

Analysis of factors that affect drainage volume after expander-based breast reconstruction

  • Lim, Yoon Min;Lew, Dae Hyun;Roh, Tai Suk;Song, Seung Yong
    • Archives of Plastic Surgery
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    • v.47 no.1
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    • pp.33-41
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    • 2020
  • Background Closed-suction drains are widely used in expander-based breast reconstruction. These drains are typically removed using a volume-based criterion. The drainage volume affects the hospital stay length and the recovery time. However, few studies have analyzed the factors that influence drainage volume after expander-based breast reconstruction. Methods We retrospectively analyzed data regarding daily drainage from patients who underwent expander-based breast reconstruction between April 2014 and January 2018 (159 patients, 176 expanders). Patient and operative factors were analyzed regarding their influence on total drainage volume and drain placement duration using univariate and multivariate analyses and analysis of variance. Results The mean total drainage volume was 1,210.77±611.44 mL. Univariate analysis showed correlations between total drainage volume and age (B=19.825, P<0.001), body weight (B=17.758, P<0.001), body mass index (B=51.817, P<0.001), and specimen weight (B=1.590, P<0.001). Diabetes history (P<0.001), expander type (P<0.001), and the surgical instrument used (P<0.001) also strongly influenced total drainage. The acellular dermal matrix type used did not affect total drainage (P=0.626). In the multivariate analysis, age (B=11.907, P=0.004), specimen weight (B=0.927, P<0.001), and expander type (B=593.728, P<0.001) were significant predictors of total drainage. Conclusions Our findings suggest that the total drainage and the duration of drain placement needed after expander-based breast reconstruction can be predicted using preoperative and intraoperative data. Patient age, specimen weight, and expander type are important predictors of drainage volume. Older patients, heavier specimens, and use of the Mentor rather than the Allergan expander corresponded to a greater total drainage volume and a longer duration of drain placement.

Sparse reconstruction of guided wavefield from limited measurements using compressed sensing

  • Qiao, Baijie;Mao, Zhu;Sun, Hao;Chen, Songmao;Chen, Xuefeng
    • Smart Structures and Systems
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    • v.25 no.3
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    • pp.369-384
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    • 2020
  • A wavefield sparse reconstruction technique based on compressed sensing is developed in this work to dramatically reduce the number of measurements. Firstly, a severely underdetermined representation of guided wavefield at a snapshot is established in the spatial domain. Secondly, an optimal compressed sensing model of guided wavefield sparse reconstruction is established based on l1-norm penalty, where a suite of discrete cosine functions is selected as the dictionary to promote the sparsity. The regular, random and jittered undersampling schemes are compared and selected as the undersampling matrix of compressed sensing. Thirdly, a gradient projection method is employed to solve the compressed sensing model of wavefield sparse reconstruction from highly incomplete measurements. Finally, experiments with different excitation frequencies are conducted on an aluminum plate to verify the effectiveness of the proposed sparse reconstruction method, where a scanning laser Doppler vibrometer as the true benchmark is used to measure the original wavefield in a given inspection region. Experiments demonstrate that the missing wavefield data can be accurately reconstructed from less than 12% of the original measurements; The reconstruction accuracy of the jittered undersampling scheme is slightly higher than that of the random undersampling scheme in high probability, but the regular undersampling scheme fails to reconstruct the wavefield image; A quantified mapping relationship between the sparsity ratio and the recovery error over a special interval is established with respect to statistical modeling and analysis.

A CPU-GPU Hybrid System of Environment Perception and 3D Terrain Reconstruction for Unmanned Ground Vehicle

  • Song, Wei;Zou, Shuanghui;Tian, Yifei;Sun, Su;Fong, Simon;Cho, Kyungeun;Qiu, Lvyang
    • Journal of Information Processing Systems
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    • v.14 no.6
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    • pp.1445-1456
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    • 2018
  • Environment perception and three-dimensional (3D) reconstruction tasks are used to provide unmanned ground vehicle (UGV) with driving awareness interfaces. The speed of obstacle segmentation and surrounding terrain reconstruction crucially influences decision making in UGVs. To increase the processing speed of environment information analysis, we develop a CPU-GPU hybrid system of automatic environment perception and 3D terrain reconstruction based on the integration of multiple sensors. The system consists of three functional modules, namely, multi-sensor data collection and pre-processing, environment perception, and 3D reconstruction. To integrate individual datasets collected from different sensors, the pre-processing function registers the sensed LiDAR (light detection and ranging) point clouds, video sequences, and motion information into a global terrain model after filtering redundant and noise data according to the redundancy removal principle. In the environment perception module, the registered discrete points are clustered into ground surface and individual objects by using a ground segmentation method and a connected component labeling algorithm. The estimated ground surface and non-ground objects indicate the terrain to be traversed and obstacles in the environment, thus creating driving awareness. The 3D reconstruction module calibrates the projection matrix between the mounted LiDAR and cameras to map the local point clouds onto the captured video images. Texture meshes and color particle models are used to reconstruct the ground surface and objects of the 3D terrain model, respectively. To accelerate the proposed system, we apply the GPU parallel computation method to implement the applied computer graphics and image processing algorithms in parallel.

Comparison of Patients Satisfaction with Direct to Implant versus Latissimus Dorsi Flap with Implant Breast Reconstruction Using Breast-Q

  • Ji Min Kim;Woo Jin Song;Sang Gue Kang
    • Archives of Plastic Surgery
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    • v.49 no.6
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    • pp.710-715
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    • 2022
  • Background The latissimus musculocutaneous flap (LD flap) is a useful option for breast reconstruction following mastectomy. It has the advantage of obtaining sufficient tissue padding and natural shape by using autologous tissue. However, with the emergence of the skin-sparing mastectomy technique and artificial dermis matrix, direct-to-implant (DTI) breast reconstruction has become the first choice of surgery. The purpose of this study was to compare the satisfaction levels of patients who underwent DTI and LD flap with implant using patient-reported Breast-Q results. Methods A retrospective study was performed reviewing the records of 49 women who underwent immediate breast reconstruction with DTI or LD flap with implant and responded to the BREAST-Q questionnaire after the operation. The patient-reported breast-Q results were analyzed and correlated to the demographic information and intraoperative information. Results A total of 26 patients who underwent reconstruction with LD flap with implant and 23 patients with DTI were identified and responded to the questionnaire after an average of 32.3 and 10.4 months postoperation, respectively. According to the patient response to the breast-q values, satisfaction with breast was 60.0 and 57.0 points, psychosocial well-being 61.0 and 60.0 points, and sexual well-being 41.0 and 43.0 points in the two groups. Overall, there was no significant difference in the breastQ score between the two groups. Conclusion Patients who underwent DTI breast reconstruction seemed equally satisfied with the appearance and outcome of their breast reconstruction compared with LD flap with implant. Therefore, it appears that DTI is adequately replacing LD with implant.

Methods to Improve Convergence Rate of Statistical Reconstruction Algorithm in Transmission CT (투과형 CT에서 통계적 재구성 알고리즘의 수렴률 향상 방안)

  • Min-Gu Song
    • Journal of Internet of Things and Convergence
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    • v.10 no.3
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    • pp.25-33
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    • 2024
  • In tomographic image reconstruction, the focus is on developing CT image reconstruction methods that can maintain high image quality while reducing patient radiation exposure. Typically, statistical image reconstruction methods have the ability to generate high-quality and accurate images while significantly reducing patient radiation exposure. However, in cases like CT image reconstruction, which involve multi-dimensional parameter estimation, the degree of the Hessian matrix of the penalty function is very large, making it impossible to calculate. To solve this problem, the author proposed the PEMG-1 algorithm. However, the PEMG-1 algorithm has issues with the convergence speed, which is typical of statistical image reconstruction methods, and increasing the penalty log-likelihood. In this study, we propose a reconstruction algorithm that ensures fast convergence speed and monotonic increase in likelihood. The basic structure of this algorithm involves sequentially updating groups of pixels instead of updating all parameters simultaneously with each iteration.

Development of Novel on-line Landweber Algorithm for Image Reconstruction in Electrical Impedance Tomography (전기 임피던스 단층촬영법에서 영상 복원을 위한 새로운 on-line Landweber 알고리즘 개발)

  • Kim, Bong Seok;Kim, Sin;Kim, Kyung Youn
    • Journal of the Institute of Electronics and Information Engineers
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    • v.49 no.9
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    • pp.293-299
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    • 2012
  • Electrical impedance tomography is an imaging modality for determining the electrical properties inside a domain. Small currents are injected and the resulting voltages are measured through the electrodes. The internal electrical properties are reconstructed based on these voltage and current data. In this paper, a novel on-line Landweber algorithm was developed to fast estimate the resistivity distribution in the inverse calculation. Additionally, to enhance the reconstruction performance, a step-length was computed from the eigenvalue of the weighting matrix. The numerical experiments have been performed to evaluate the reconstruction performance of the proposed method.

PARAFAC Tensor Reconstruction for Recommender System based on Apache Spark (아파치 스파크에서의 PARAFAC 분해 기반 텐서 재구성을 이용한 추천 시스템)

  • Im, Eo-Jin;Yong, Hwan-Seung
    • Journal of Korea Multimedia Society
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    • v.22 no.4
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    • pp.443-454
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    • 2019
  • In recent years, there has been active research on a recommender system that considers three or more inputs in addition to users and goods, making it a multi-dimensional array, also known as a tensor. The main issue with using tensor is that there are a lot of missing values, making it sparse. In order to solve this, the tensor can be shrunk using the tensor decomposition algorithm into a lower dimensional array called a factor matrix. Then, the tensor is reconstructed by calculating factor matrices to fill original empty cells with predicted values. This is called tensor reconstruction. In this paper, we propose a user-based Top-K recommender system by normalized PARAFAC tensor reconstruction. This method involves factorization of a tensor into factor matrices and reconstructs the tensor again. Before decomposition, the original tensor is normalized based on each dimension to reduce overfitting. Using the real world dataset, this paper shows the processing of a large amount of data and implements a recommender system based on Apache Spark. In addition, this study has confirmed that the recommender performance is improved through normalization of the tensor.

Infective Costochondritis after Augmentation Mammoplasty: A Rare Case Report and Review of the Literature

  • Sally Min;Jinil Choi;Kwon Joong Na;Ki Yong Hong
    • Archives of Plastic Surgery
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    • v.50 no.5
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    • pp.488-491
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    • 2023
  • Silicone breast implant insertion is a commonly performed surgical procedure for breast augmentation or reconstruction. Among various postoperative complications, infection is one of the main causes of patient readmission and may ultimately require explantation. We report a case of infective costochondritis after augmentation mammoplasty, which has rarely been reported and is therefore difficult to diagnose. A 36-year-old female visited the clinic for persistent redness, pain, and purulent discharge around the left anteromedial chest, even after breast implant explantation. Magnetic resonance imaging showed abscess formation encircling the left fourth rib and intracartilaginous and bone marrow signal alteration at the left body of the sternum and left fourth rib. En bloc resection of partial rib and adjacent sternum were done and biopsy results confirmed infective costochondritis. Ten months postoperatively, the patient underwent chest wall reconstruction with an artificial bone graft and acellular dermal matrix. As shown in this case, early and aggressive surgical debridement of the infected costal cartilage and sternum should be performed for infective costochondritis. Furthermore, delayed chest wall reconstruction could significantly contribute to the quality of life.