• Title/Summary/Keyword: Image Guided System

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Time efficiency and operator convenience of using a micro-screw in image registration for guided implant surgery (마이크로스크류가 가이드 임플란트 수술을 위한 영상정합 과정에서 작업시간과 술자편의성에 미치는 영향)

  • Mai, Hai Yen;Lee, Du-Hyeong
    • The Journal of Korean Academy of Prosthodontics
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    • v.57 no.3
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    • pp.219-224
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    • 2019
  • Purpose: The image registration of radiographic image and digital surface data is essential in the computer-guided implant guide system. The purpose of this study was to examine the effects of using micro-screw on the working time and convenience of operators in the process of image matching for guided implant surgery. Materials and methods: A mandibular dental model was prepared in partial edentulism for Kennedy class I classification. Two micro-screws were placed on the each side of retromolar area. Radiographic and scan images were taken using computed-tomography and digital scanning. The images were superimposed by 12 operators in software in two different conditions: using remaining teeth image alone and using teeth and micro-screws images. Working time, operator convenience and satisfaction were obtained, and analyzed using the Mann-Whitney U test (${\alpha}=.05$). Results: The working time was not statistically different between image registration conditions (P>.05); however, operator convenience and satisfaction were higher in the teeth and micro-screw assisted condition than in the teeth-alone assisted condition (P<.001). Conclusion: The use of micro-screw for the image registration has no effect in working time reduction, but improves operator convenience and satisfaction.

A real-time vision system for SMT automation

  • Hwang, Shin-Hwan;Kim, Dong-Sik;Yun, Il-Dong;Choi, Jin-Woo;Lee, Sang-Uk;Choi, Jong-Soo
    • 제어로봇시스템학회:학술대회논문집
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    • 1990.10b
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    • pp.923-928
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    • 1990
  • This paper describes the design and implementation of a real-time, high-precision vision system and its application to SMT(surface mounting technology) automation. The vision system employs a 32 bit MC68030 as a main processor, and consists of image acquisition unit. DSP56001 DSP based vision processor, and several algorithmically dedicated hardware modules. The image acquisition unit provides 512*480*8 bit image for high-precision vision tasks. The DSP vision processor and hardware modules, such as histogram extractor and feature extractor, are designed for a real-time excution of vision algorithms. Especially, the implementation of multi-processing architecture based on DSP vision processors allows us to employ more sophisticated and flexible vision algorithms for real-time operation. The developed vision system is combined with an Adept Robot system to form a complete SMD system. It has been found that the vision guided SMD assembly system is able to provide a satisfactory performance for SND automation.

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An Image-Guided Robotic Surgery System for Spinal Fusion

  • Chung Goo Bong;Kim Sungmin;Lee Soo Gang;Yi Byung-Ju;Kim Wheekuk;Oh Se Min;Kim Young Soo;So Byung Rok;Park Jong Il;Oh Seong Hoon
    • International Journal of Control, Automation, and Systems
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    • v.4 no.1
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    • pp.30-41
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    • 2006
  • The goal of this work is to develop and test a robot-assisted surgery system for spinal fusion. The system is composed of a robot, a surgical planning system, and a navigation system. It plays the role of assisting surgeons for inserting a pedicle screw in the spinal fusion procedure. Compared to conventional methods for spinal fusion, the proposed surgical procedure ensures minimum invasion and better accuracy by using robot and image information. The robot plays the role of positioning and guiding needles, drills, and other surgical instruments or conducts automatic boring and screwing. Pre-operative CT images intra-operative fluoroscopic images are integrated to provide the surgeon with information for surgical planning. Some experiments employing the developed robotic surgery system are conducted. The experimental results confirm that the system is not only able to guide the surgical tools by accurately pointing and orienting the specified location, but also successfully compensate the movement of the patient due to respiration.

Development of An Image-Guided Robotic Surgery System for Spinal Fusion (영상 지원 척추 융합 수술 로봇 시스템의 개발)

  • Chung Goo-Bong;Lee Soo-Gang;Kim Sung-Min;Oh Se-Min;Yi Byung-Ju;Kim Young-Soo;Park Jong-Il;Oh Seong-Hoon;Kim Whee-Kuk
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2005.10a
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    • pp.144-148
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    • 2005
  • The goal of this work is to develop and test a robot-assisted surgery system for spinal fusion. The system is composed of a robot, a surgical planning system, and a navigation system. It plays the role of assisting surgeons for inserting a pedicle screw in the spinal fusion procedure. Compared to conventional methods fer spinal fusion, the proposed surgical procedure ensures minimum invasion and better accuracy by using robot and image information. The robot plays the role of positioning and guiding needles, drills, and other surgical instruments or conducts automatic boring and screwing. Pre-operative CT images and intra-operative fluoroscopic images are integrated to provide the surgeon with information for surgical planning. Several experiments employing the developed robotic surgery system are conducted. The experimental results confirmed that the system is not only able to guide the surgical tools by accurately pointing and orienting the specified location, but also successfully compensate the movement of the patient due to his/her respiration.

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Morphological Variation Classification of Red Blood Cells using Neural Network Model in the Peripheral Blood Images (말초혈액영상에서 신경망 모델을 이용한 적혈구의 형태학적 변이 분류)

  • Kim, Gyeong-Su;Kim, Pan-Gu
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.10
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    • pp.2707-2715
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    • 1999
  • Recently, there have been researches to automate processing and analysing images in the medical field using image processing technique, a fast communication network, and high performance hardware. In this paper, we propose a system to be able to analyze morphological abnormality of red-blood cells for peripheral blood image using image processing techniques. To do this, we segment red-blood cells in the blood image acquired from microscope with CCD camera and then extract UNL fourier features to classify them into 15 classes. We reduce the number of multi-variate features using PCA to construct a more efficient classifier. Our system has the best performance in recognition rate, compared with two other algorithms, LVQ3 and k-NN. So, we show that it can be applied to a pathological guided system.

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Caudal and epidural blocks in infants and small children: historical perspective and ultrasound-guided approaches

  • Kil, Hae Keum
    • Korean Journal of Anesthesiology
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    • v.71 no.6
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    • pp.430-439
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    • 2018
  • In infants and small children, ultrasound (US) guidance provides ample anatomical information to perform neuraxial blocks. We can measure the distance from the skin to the epidural space in the US image and can refer to it during needle insertion. We may also visualize the needle or a catheter during real-time US-guided epidural catheterization. In cases where direct needle or catheter visualization is difficult, US allows predicting successful puncture and catheterization using surrogate markers, such as dura mater displacement, epidural space widening due to drug injection, or mass movement of the drug within the caudal space. Although many experienced anesthesiologists still prefer to use conventional techniques, prospective randomized controlled trials using US guidance are providing increasing evidence of its advantages. The use of US-guided regional block will gradually become widespread in infants and children.

Depth Estimation for Image-based Visual Servoing of an Under-actuated System (Under-actuated 시스템에서의 이미지 서보잉을 위한 깊이 추정 기법)

  • Lee, Dae-Won;Kim, Jin-Ho;Kim, H.-Jin
    • Journal of Institute of Control, Robotics and Systems
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    • v.18 no.1
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    • pp.42-46
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    • 2012
  • A simple and accurate depth estimation algorithm for an IBVS (Image-Based Visual Servoing) is presented. Specifically, this algorithm is useful for under-actuated systems such as visual-guided quadrotor UAVs (Unmanned Aerial Vehicles). Since the image of a marker changes with changing pitch and roll angles of quadrotor, it is difficult to estimate depth. The proposed algorithm compensates a shape of the marker, so that the system acquire more accurate depth information without complicated processes. Also, the roll and pitch channels are decoupled so that the IBVS algorithm can be used in an under-actuated quadrotor system.

The Investigation Image-guided Radiation Therapy of Bladder Cancer Patients (방광암 환자의 영상유도 방사선치료에 관한 고찰)

  • Bae, Seong-Soo;Bae, Sun-Myoung;Kim, Jin-San;Kang, Tae-Young;Back, Geum-Mun;Kwon, Kyung-Tae
    • The Journal of Korean Society for Radiation Therapy
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    • v.24 no.1
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    • pp.39-43
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    • 2012
  • Purpose: In hospital image-guided radiation therapy in patients with bladder cancer to enhance the reproducibility of the appropriate amount, depending on the patient's condition, and image-guided injection of saline system (On-Board Imager system, OBI, VARIAN, USA) three of the Cone-Beam CT dimensional matching (3D-3D matching) to be the treatment. In this study, the treatment of patients with bladder cancer at Cone-Beam CT image obtained through the analysis of the bones based matching and matching based on the bladder to learn about the differences, the bladder's volume change injected saline solution by looking at the bladder for the treatment of patients with a more appropriate image matching is to assess how the discussion. Materials and Methods: At our hospital from January 2009 to April 2010 admitted for radiation therapy patients, 7 patients with bladder cancer using a Folly catheter of residual urine in the bladder after removing the amount determined according to individual patient enough to inject saline CT-Sim was designed after the treatment plan. After that, using OBI before treatment to confirm position with Cone-Beam CT scan was physician in charge of matching was performed in all patients. CBCT images using a total of 45 bones, bladder, based on image matching and image matching based on the difference were analyzed. In addition, changes in bladder volume of Eclipse (version 8.0, VARIAN, USA) persuaded through. Results: Bones, one based image matching based on the bladder and re-matching the X axis is the difference between the average $3{\pm}2mm$, Y axis, $1.8{\pm}1.3mm$, Z-axis travel distance is $2.3{\pm}1.7mm$ and the overall $4.8{\pm}2.0mm$, respectively. The volume of the bladder compared to the baseline showed a difference of $4.03{\pm}3.97%$. Conclusion: Anatomical location and nature of the bladder due to internal movement of the bones, even after matching with the image of the bladder occurred in different locations. In addition, the volume of saline-filled bladder showed up the difference between the 4.03 percent, but matched in both images to be included in the planned volumes were able to confirm. Thus, after injection of saline into the bladder base by providing a more accurate image matching will be able to conduct therapy.

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Optimizing Imaging Conditions in Digital Tomosynthesis for Image-Guided Radiation Therapy (영상유도 방사선 치료를 위한 디지털 단층영상합성법의 촬영조건 최적화에 관한 연구)

  • Youn, Han-Bean;Kim, Jin-Sung;Cho, Min-Kook;Jang, Sun-Young;Song, William Y.;Kim, Ho-Kyung
    • Progress in Medical Physics
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    • v.21 no.3
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    • pp.281-290
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    • 2010
  • Cone-beam digital tomosynthesis (CBDT) has greatly been paid attention in the image-guided radiation therapy because of its attractive advantages such as low patient dose and less motion artifact. Image quality of tomograms is, however, dependent on the imaging conditions such as the scan angle (${\beta}_{scan}$) and the number of projection views. In this paper, we describe the principle of CBDT based on filtered-backprojection technique and investigate the optimization of imaging conditions. As a system performance, we have defined the figure-of-merit with a combination of signal difference-to-noise ratio, artifact spread function and floating-point operations which determine the computational load of image reconstruction procedures. From the measurements of disc phantom, which mimics an impulse signal and thus their analyses, it is concluded that the image quality of tomograms obtained from CBDT is improved as the scan angle is wider than 60 degrees with a larger step scan angle (${\Delta}{\beta}$). As a rule of thumb, the system performance is dependent on $\sqrt{{\Delta}{\beta}}{\times}{\beta}^{2.5}_{scan}$. If the exact weighting factors could be assigned to each image-quality metric, we would find the better quantitative imaging conditions.

A Study on Detection of Lane and Situation of Obstacle for AGV using Vision System (비전 시스템을 이용한 AGV의 차선인식 및 장애물 위치 검출에 관한 연구)

  • 이진우;이영진;이권순
    • Journal of Korean Port Research
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    • v.14 no.3
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    • pp.303-312
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    • 2000
  • In this paper, we describe an image processing algorithm which is able to recognize the road lane. This algorithm performs to recognize the interrelation between AGV and the other vehicle. We experimented on AGV driving test with color CCD camera which is setup on the top of vehicle and acquires the digital signal. This paper is composed of two parts. One is image preprocessing part to measure the condition of the condition of the lane and vehicle. This finds the information of lines using RGB ratio cutting algorithm, the edge detection and Hough transform. The other obtains the situation of other vehicles using the image processing and viewport. At first, 2 dimension image information derived from vision sensor is interpreted to the 3 dimension information by the angle and position of the CCD camera. Through these processes, if vehicle knows the driving conditions which are lane angle, distance error and real position of other vehicles, we should calculate the reference steering angle.

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