The Experts below are selected from a list of 1131 Experts worldwide ranked by ideXlab platform

Tong Zhu - One of the best experts on this subject based on the ideXlab platform.

  • a study of lateral Skull Radiography of patients with submucous cleft palate
    Chinese journal of stomatology, 2003
    Co-Authors: Tong Zhu
    Abstract:

    OBJECTIVE: To investigate the insertion position of the levator veli palatini in the soft palate with SMCP comparing normal group and find out reliance diagnosis methods for SMCP. METHODS: Experimental group: lateral Skull Radiography film were taken in 50 patients with SMCP at rest and "i" phonation. Five parameters were measured which are relative length of soft palate and hard palate; levatorveli palatini insertion in the soft palate; elongation and angle of soft palate when lifting up on phonation. CONTROL GROUP: Ten sets (rest and pronouncing "i") of lateral Skull Radiography were used as control group. X-rays were taken for ten normal subjects without speech disorder or other abnormal physical situations. All data were subjected to the t-test of statistical significance. RESULTS: The difference of measures between patients with SMCP and normal control was significant (P

  • A study of lateral Skull Radiography of patients with submucous cleft palate
    Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology, 2003
    Co-Authors: Tong Zhu
    Abstract:

    OBJECTIVE: To investigate the insertion position of the levator veli palatini in the soft palate with SMCP comparing normal group and find out reliance diagnosis methods for SMCP. METHODS: Experimental group: lateral Skull Radiography film were taken in 50 patients with SMCP at rest and "i" phonation. Five parameters were measured which are relative length of soft palate and hard palate; levatorveli palatini insertion in the soft palate; elongation and angle of soft palate when lifting up on phonation. CONTROL GROUP: Ten sets (rest and pronouncing "i") of lateral Skull Radiography were used as control group. X-rays were taken for ten normal subjects without speech disorder or other abnormal physical situations. All data were subjected to the t-test of statistical significance. RESULTS: The difference of measures between patients with SMCP and normal control was significant (P

Hideki Yamamoto - One of the best experts on this subject based on the ideXlab platform.

  • Imaging techniques for Skull Radiography using CT images
    2008 IEEE International Workshop on Imaging Systems and Techniques, 2008
    Co-Authors: Toshinori Maruyama, Hideki Yamamoto
    Abstract:

    A good positioning technique is essential for obtaining accurate diagnostic information in Radiography. In this study, we developed the imaging techniques which produced the X-ray plane image using CT images in order to confirm the positioning of the phantom under the X-ray equipment. First, we scanned the Skull phantom by CT (Computed tomography) and obtained CT images. Next, we measure the positioning information of the phantom under the X-ray equipment by using scene analysis. And we produced an X-ray plane image from CT image data corresponding to the detected phantom position under the X-ray equipment using image processing techniques. As the result, we could obtain the X-ray plane image having the same image quality as the X-ray film image. By using proposed techniques, we can confirm the X-ray image without exposure of X-rays and perform the positioning practice efficiently. It is expected that our techniques are useful for leaning positioning technique in various organs.

  • Study of Positioning Techniques for Skull Radiography using CT images
    2007 IEEE Instrumentation & Measurement Technology Conference IMTC 2007, 2007
    Co-Authors: Toshinori Maruyama, Hideki Yamamoto
    Abstract:

    We describe a new method of positioning techniques in radiology. The positioning technique is important in obtaining an accurate diagnostic information. It is desirable to perform the positioning accurately. As X-ray films are usually used in Radiography, the development of the films becomes necessary. In this study, we propose a new positioning training method using digital image processing. We scan the Skull phantom by CT and obtain the CT images. We produce the necessary plane images for diagnosis from CT images. We develop a method which produces the plane image of the phantom placed under the X-ray tube in real time. Our method is useful for helping the positioning practice as a teaching material without X-ray exposure and development of X-ray films.

  • Study of Positioning Techniques for Skull Radiography
    2006 IEEE Instrumentation and Measurement Technology Conference Proceedings, 2006
    Co-Authors: Toshinori Maruyama, Hideki Yamamoto
    Abstract:

    We describe a new method of positioning techniques in this paper. The positioning technique is important to obtain an accurate diagnostic information in Radiography. As X-ray films are usually used in Radiography, the development of the films becomes necessary. It is desirable to perform the positioning accurately and to confirm the results of the positioning in short time. In this study, we construct an image database which is related to the positioning image of the phantom and its radiographic image. We develop a system which displays the radiographic image by detecting the position of phantom in real time. Furthermore, we use the V-filter to improve the image quality of radiographic images. The V-filter is effective in extracting the region of interesting accurately. It is expected that our method is useful for acquiring of the positioning techniques.

Toshinori Maruyama - One of the best experts on this subject based on the ideXlab platform.

  • Imaging techniques for Skull Radiography using CT images
    2008 IEEE International Workshop on Imaging Systems and Techniques, 2008
    Co-Authors: Toshinori Maruyama, Hideki Yamamoto
    Abstract:

    A good positioning technique is essential for obtaining accurate diagnostic information in Radiography. In this study, we developed the imaging techniques which produced the X-ray plane image using CT images in order to confirm the positioning of the phantom under the X-ray equipment. First, we scanned the Skull phantom by CT (Computed tomography) and obtained CT images. Next, we measure the positioning information of the phantom under the X-ray equipment by using scene analysis. And we produced an X-ray plane image from CT image data corresponding to the detected phantom position under the X-ray equipment using image processing techniques. As the result, we could obtain the X-ray plane image having the same image quality as the X-ray film image. By using proposed techniques, we can confirm the X-ray image without exposure of X-rays and perform the positioning practice efficiently. It is expected that our techniques are useful for leaning positioning technique in various organs.

  • Study of Positioning Techniques for Skull Radiography using CT images
    2007 IEEE Instrumentation & Measurement Technology Conference IMTC 2007, 2007
    Co-Authors: Toshinori Maruyama, Hideki Yamamoto
    Abstract:

    We describe a new method of positioning techniques in radiology. The positioning technique is important in obtaining an accurate diagnostic information. It is desirable to perform the positioning accurately. As X-ray films are usually used in Radiography, the development of the films becomes necessary. In this study, we propose a new positioning training method using digital image processing. We scan the Skull phantom by CT and obtain the CT images. We produce the necessary plane images for diagnosis from CT images. We develop a method which produces the plane image of the phantom placed under the X-ray tube in real time. Our method is useful for helping the positioning practice as a teaching material without X-ray exposure and development of X-ray films.

  • Study of Positioning Techniques for Skull Radiography
    2006 IEEE Instrumentation and Measurement Technology Conference Proceedings, 2006
    Co-Authors: Toshinori Maruyama, Hideki Yamamoto
    Abstract:

    We describe a new method of positioning techniques in this paper. The positioning technique is important to obtain an accurate diagnostic information in Radiography. As X-ray films are usually used in Radiography, the development of the films becomes necessary. It is desirable to perform the positioning accurately and to confirm the results of the positioning in short time. In this study, we construct an image database which is related to the positioning image of the phantom and its radiographic image. We develop a system which displays the radiographic image by detecting the position of phantom in real time. Furthermore, we use the V-filter to improve the image quality of radiographic images. The V-filter is effective in extracting the region of interesting accurately. It is expected that our method is useful for acquiring of the positioning techniques.

A K Srivastava - One of the best experts on this subject based on the ideXlab platform.

  • Evaluation of Patient Radiation Doses in Skull Radiography
    Journal of Multidisciplinary Research in Healthcare, 2019
    Co-Authors: Chanchal Kaushik, Inderjeet Singh Sandhu, A K Srivastava
    Abstract:

    Purpose: Exposures to medical ionizing radiations elevate the risk of stochastic effects such as cancer in exposed individuals. It is of utmost importance to monitor the radiation doses delivered to patients and their optimization to reduce the associated radiation risks without limiting the diagnostic information. Methods: Entrance surface air kerma (ESAK) in a total of 64 adult patients in diagnostic digital Xray examinations were calculated and effective doses were estimated as per International Atomic Energy Agency (IAEA). Results: Median ESAK (mGy) and associated effective doses obtained were Skull PA (0.45mGy, 0.005mSv) and Skull Lat (0.25mGy, 0.003mSv). Results were compared with UK diagnostic reference levels and studies in India.Conclusion: The comparison revealed that the calculated ESAK and effective dose values wereless than the published literature. ESAK values reported in this study could further contribute toestablishing LDRLs.

Oki Kwon - One of the best experts on this subject based on the ideXlab platform.

  • machine learning for detecting moyamoya disease in plain Skull Radiography using a convolutional neural network
    EBioMedicine, 2019
    Co-Authors: Tackeun Kim, Jaehyuk Heo, Dong Kyu Jang, Leonard Sunwoo, Joonghee Kim, Kyong Joon Lee, Si Hyuk Kang, Sang Jun Park, Oki Kwon
    Abstract:

    Abstract Background Recently, innovative attempts have been made to identify moyamoya disease (MMD) by focusing on the morphological differences in the head of MMD patients. Following the recent revolution in the development of deep learning (DL) algorithms, we designed this study to determine whether DL can distinguish MMD in plain Skull radiograph images. Methods Three hundred forty-five Skull images were collected as an MMD-labeled dataset from patients aged 18 to 50 years with definite MMD. As a control-labeled data set, 408 Skull images of trauma patients were selected by age and sex matching. Skull images were partitioned into training and test datasets at a 7:3 ratio using permutation. A total of six convolution layers were designed and trained. The accuracy and area under the receiver operating characteristic (AUROC) curve were evaluated as classifier performance. To identify areas of attention, gradient-weighted class activation mapping was applied. External validation was performed with a new dataset from another hospital. Findings For the institutional test set, the classifier predicted the true label with 84·1% accuracy. Sensitivity and specificity were both 0·84. AUROC was 0·91. MMD was predicted by attention to the lower face in most cases. Overall accuracy for external validation data set was 75·9%. Interpretation DL can distinguish MMD cases within specific ages from controls in plain Skull radiograph images with considerable accuracy and AUROC. The viscerocranium may play a role in MMD-related Skull features. Fund This work was supported by grant no. 18-2018-029 from the Seoul National University Bundang Hospital Research Fund.