• Title/Summary/Keyword: Image deformity

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Hydramnios related to fetal deformity in a Hanwoo cow: a case report

  • Jae Kwan Jeong;Sanggu Kim;Ui Hyung Kim;Dongwoo Chang;Soochong Kim;Ill Hwa Kim
    • Korean Journal of Veterinary Research
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    • v.62 no.4
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    • pp.32.1-32.4
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    • 2022
  • A Hanwoo cow with a delayed gestation and abdominal distension was delivered following PGF injection. There was excessive amniotic fluid, and a male calf was delivered but died immediately. The calf had no eyes and nose, and a cleft palate on the upper jaw. Gross appearance and computed tomography image showed that upper teeth were spread out on both sides due to cleft palate in the upper jaw, and lower jaw and teeth were positioned upward. There were no other brain parts except cerebellum. These findings show a rare case of hydramnios related to fetal congenital deformity in a Hanwoo cow.

Quantitative Analysis of Lower Nose and Upper Lip Asymmetry in Patient with Unilateral Cleft Lip Nose Deformity using 3D camera (3D camera를 이용한 일측성 구순비변형환자에서의 비하부 및 상구순 비대칭의 정량적 분석)

  • Oh, Tae suk;Koh, Kyung suk;Kim, Tae gon
    • Archives of Plastic Surgery
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    • v.36 no.6
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    • pp.702-706
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    • 2009
  • Purpose: Analysis of lower nose and upper lip asymmetry in patients with unilateral cleft lip nose deformity has been proceeded through direct measurement and photo analysis. But there are limitation in presenting real image because of its 2 dimensional trait. The authors analyzed such an asymmetry using 3D VECTRA system (Canfield, NJ, USA) in quantitative way. Methods: In 25 Patients with unilateral cleft lip nose deformity(male 12, female 13, age ranging from 4 to 19), patients with right side deformity were 10 and left were 15. Analysis of asymmetry was proceeded through 3D VECTRA system. After taking 3 dimensional photo, alar area, upper lip area, nostril perimeter, nostril area, Cupid's bow length, nostril height and nostril width were measured. Correlation coefficient and inter data quotients were calculated. Results: In nostril perimeter, maximal difference of cleft side and non - cleft side was 39.3%, asymmetric quotient Qasy = Qcl/Qncl(Qcl, value of cleft side; Qncl, value of non - cleft side) was ranged from 0.84 to 1.85 and in seven cases the length of cleft side was smaller. In nostril area, maximal difference was 69.6% and in 13 cases cleft side was smaller. In lower nasal area, maximal difference was 37.2% asymmetric quotient Qasy = Qcl/Qncl was ranged from 0.47 to 2.03 and in 20 cases cleft side was smaller. The correlation coefficients of nostril perimeter and area were 0.8345. Conclusion: Using 3D VECTRA system, the authors can measure nostril perimeter and lower nasal area that could not been measured with previous methods. Asymmetry of midface was analyzed through area comparison in quantitative way. Futhermore, post operative change can be measured in quantitative method.

Development of a Special Program for Automatic Generation of Scoliotic Spine FE Model with a Normal Spine Model (정상 척추체 모델을 이용한 척추측만증 모델 자동 생성 프로그램 개발)

  • Ryu Han-Kyu;Kim Young-Eun
    • Journal of the Korean Society for Precision Engineering
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    • v.23 no.3 s.180
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    • pp.187-194
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    • 2006
  • Unexpected postoperative changes, such as growth in rib hump and shoulder unbalance, have been occasionally reported after corrective surgery for scoliosis. However there has been neither experimental data fer explanation of these changes, nor the suggestion of optimal correction method. Therefore, the numerical study was designed to investigate the post-operative changes of vertebral rotation and rib cage deformation after the corrective surgery of scoliosis. A mathematical finite element model of normal spine including rib cage, sternum, both clavicles, and pelvis was developed with anatomical details. In this study, we also developed a special program which could convert a normal spine model to a desired scoliotic spine model automatically. A personalized skeletal deformity of scoliosis model was reconstructed with X-ray images of a scoliosis patient from the normal spine structures and rib cage model. The geometric mapping was performed by translating and rotating the spinal column with an amount analyzed from the digitized 12 built-in coordinate axes in each vertebral image. By utilizing this program, problems generated in mapping procedure such as facet joint overlapping, vertebral body deformity could be automatically resolved.

LED Deformity Detection Using LabVIEW Builder (랩뷰 비전 빌더를 이용한 LED 결함 검출 시스템)

  • Xi, Wang;Yoo, Sung-Goo;Chong, Kil-To;Vista IV, Felipe P.
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.46 no.5
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    • pp.15-21
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    • 2009
  • Deformity detection in a Light Emitting Diode (LED) is an important aspect for improving its quality. These LED deformities can be checked through several methods. This paper details the automatic deformity detection inspection system of a LED using the LabVIEW Builder 3.6 software. This software has a graphical user interface which makes it easy to observe and modify the behavior of its element. The LabVIEWs essential elements are also presented and explained aside from its image acquisition system. Details on how to build an inspection system and how to implement vision inspection algorithm which mainly consists of edge detection, geometry point location, and distance measurement are included in this paper.

Development of a program for Scoliosis FE Model Automatic Generation (척추측만증 유한 요소 모델 자동 생성 프로그램 개발)

  • 유한규;김영은
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2004.10a
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    • pp.1154-1159
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    • 2004
  • Unexpected postoperative changes, such as growth in rib hump, has been occasionally reported after corrective surgery for scoliosis. However there has been experimental data for explanation of these changes, nor the suggestion of optimal correction method. This numerical study was designed to investigate the main correlating elements in operative kinematics with post-operative changes of vertebral rotation and rib cage deformation in the corrective surgery of scoliosis. To develop a scoliotic spine model automatically, a special program for converting normal spine model to scoliotic spine model was developed. A mathematical finite element model of normal spine including rib cage, sternum, both clavicles, and pelvis was developed with anatomical details. The skeletal deformity of scoliosis was reconstructed, by mapping the X-ray images of a scoliosis into this three dimensional normal spine and rib cage model. The geometric mapping was performed by translating and rotating the spinal colume with the amount analyzed from the digitized 12 built-in coordinate axes in each vertebral image. By utilizing this program, problems generated in mapping procedure such as facet joint overlapping, vertebral body deformity could be automatically resolved.

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Diagnosis of Flatfoot Deformity (편평족의 진단)

  • Lee, Tae Hoon;Chay, Suh Woo;Kim, Hak Jun
    • Journal of Korean Foot and Ankle Society
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    • v.20 no.1
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    • pp.1-5
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    • 2016
  • Flatfoot is defined as loss of medial arch with hindfoot valgus, but normal condition is obscure due to wide individual variance. Loss or decreasing of medial longitudinal arch with radiographic image is clinically diagnosed as flatfoot. Flatfoot without symptoms is not an indication for treatment. The etiologies of flatfoot are congenital cause, hypermobility, tarsal coalition, neuromuscular disease, post-traumatic deformity, Charcot arthropathy, and posterior tibial tendon dysfuction. The flatfoot is classified as congenital and acquired, flexible, and rigid. The diagnosis is made by physical examination and radiographic findings. In particular, the posterior tibial tendon dysfunction is known as adult acquired flatfoot.

Active Contour Model Based Object Contour Detection Using Genetic Algorithm with Wavelet Based Image Preprocessing

  • Mun, Kyeong-Jun;Kang, Hyeon-Tae;Lee, Hwa-Seok;Yoon, Yoo-Sool;Lee, Chang-Moon;Park, June-Ho
    • International Journal of Control, Automation, and Systems
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    • v.2 no.1
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    • pp.100-106
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    • 2004
  • In this paper, we present a novel, rapid approach for the detection of brain tumors and deformity boundaries in medical images using a genetic algorithm with wavelet based preprocessing. The contour detection problem is formulated as an optimization process that seeks the contour of the object in a manner of minimizing an energy function based on an active contour model. The brain tumor segmentation contour, however, cannot be detected in case that a higher gradient intensity exists other than the interested brain tumor and deformities. Our method for discerning brain tumors and deformities from unwanted adjacent tissues is proposed. The proposed method can be used in medical image analysis because the exact contour of the brain tumor and deformities is followed by precise diagnosis of the deformities.

Robot-assisted Long Bone Fractures Realignment

  • Xu, W.L.;Mukherjee, S.
    • Proceedings of the Korea Society of Information Technology Applications Conference
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    • 2005.11a
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    • pp.91-97
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    • 2005
  • Bones are dynamic structures, being supported by muscles, tendons, and ligaments. When some or all the structures are disturbed i.e. in fractures, the alignment of the bone in respect to the rest of the body is deranged. This gives rise to axial as well as rotational deformity in three dimensional planes. The correct alignment and position of the long bones are to be maintained to heal the bone in the best possible anatomical and functional position. The objective of this research is to address the problems in the current practice involving surgeon, assistant, fluoroscopy and crude mechanical means and to see if a robotic solution exists to solve the problems of manipulating and reducing long bone fractures. This paper presents various design aspects of the proposed surgeon-instructed, image-guided and robotic system including the system design specification, robot design and analysis, motion control and implementation, and x-ray image processing and incorporation in CAD environment.

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Evaluation of Deep Learning Model for Scoliosis Pre-Screening Using Preprocessed Chest X-ray Images

  • Min Gu Jang;Jin Woong Yi;Hyun Ju Lee;Ki Sik Tae
    • Journal of Biomedical Engineering Research
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    • v.44 no.4
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    • pp.293-301
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    • 2023
  • Scoliosis is a three-dimensional deformation of the spine that is a deformity induced by physical or disease-related causes as the spine is rotated abnormally. Early detection has a significant influence on the possibility of nonsurgical treatment. To train a deep learning model with preprocessed images and to evaluate the results with and without data augmentation to enable the diagnosis of scoliosis based only on a chest X-ray image. The preprocessed images in which only the spine, rib contours, and some hard tissues were left from the original chest image, were used for learning along with the original images, and three CNN(Convolutional Neural Networks) models (VGG16, ResNet152, and EfficientNet) were selected to proceed with training. The results obtained by training with the preprocessed images showed a superior accuracy to those obtained by training with the original image. When the scoliosis image was added through data augmentation, the accuracy was further improved, ultimately achieving a classification accuracy of 93.56% with the ResNet152 model using test data. Through supplementation with future research, the method proposed herein is expected to allow the early diagnosis of scoliosis as well as cost reduction by reducing the burden of additional radiographic imaging for disease detection.

The $4^{th}-5^{th}$ Intermetatarsal Angle and the $5^{th}$ Metatarsophalangeal Angle of Young Men in Korea (한국 정상 젊은 남성에서의 제 4-5 중족골간 각 및 제 5 근위-종족골간 각)

  • Lee, Kyung-Tai;Lee, Young-Koo;Yim, Su-Jae;Young, Ki-Won;Park, Shin-Yi;Kim, Hyung-Tae
    • Journal of Korean Foot and Ankle Society
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    • v.13 no.1
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    • pp.46-49
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    • 2009
  • Purpose: The purpose of this study is to find out the normal angles of forefoot for diagnosis of bunionette deformity in Korea. This would be helpful as it would provide a basic angular measurement of bunionette deformity that indicates the need for operation. Materials and Methods: Within a period of four months from January 2007 to April 2007. We have established 300 males and 600 feet without trauma history of foot. The source to image distance is 40 inches and erect weight bearing radiographs are obtained in anteroposterior and lateral projections. The significant angular measurements that define a bunionette deformity are the fourth-fifth intermetatarsal angle, the fifth metatarsophalangeal angle Results: The mean age was 21 years(19-22 years) old. The mean $4^{th}-5^{th}$ intermetatarsal angle was $9.4{\pm}4.7^{\circ}$, the mean $5^{th}$ metatarsophalangeal angle was $7.9{\pm}9.2^{\circ}$. Conclusion: We can consider over the $14.1^{\circ}$ on the $4^{th}-5^{th}$ intermetatarsal angle and over $17.1^{\circ}$ on the $5^{th}$ metatarsophalangeal angle as an operational indication.

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