Medical Imaging Technology
Online ISSN : 2185-3193
Print ISSN : 0288-450X
ISSN-L : 0288-450X
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Volume 28, Issue 3
Displaying 1-8 of 8 articles from this issue
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Main Topics/Applications of Computer Vision to Medical Image Analysis
  • Applications of Computer Vision to Medical Image Analysis
    Atsushi IMIYA
    2010 Volume 28 Issue 3 Pages 161-162
    Published: 2010
    Released on J-STAGE: September 07, 2010
    DOIhttps://doi.org/10.11409/mit.28.161
    JOURNAL FREE ACCESS
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    [in Japanese]
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  • Application of the Pattern Recognition to the Ultrasonic Tissue Anatomy of Liver
    Tadashi YAMAGUCHI
    2010 Volume 28 Issue 3 Pages 163-168
    Published: 2010
    Released on J-STAGE: September 07, 2010
    DOIhttps://doi.org/10.11409/mit.28.163
    JOURNAL FREE ACCESS
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    The ultrasonic diagnostic equipment is widely used in clinical field and the medical diagnosis using the ultrasonic B-mode image has made remarkable result. However, experience and skill of the doctor are required for the diagnosis using the ultrasonic image. Though it has been tried to obtain the quantitative diagnosis information using the acoustic characteristic of the tissue, useful information has not been obtained without sufficiently considering the inhomogeneous structure which is large features of the tissue. We have developed quantitative diagnostic technique which can be applied to the clinical field, while the relationship between tissue structure which is inhomogeneous medium for ultrasound and acoustic characteristic is systematically clarified. High precision measurement method of two-dimensional acoustic characteristic distribution for the tissue was developed, and the clear correlation between acoustic characteristic change by the lesion and physical change of the tissue was found. From the research result of acoustic characteristic, we proposed the model of the lesion. Quantitative evaluation method has been examined considering the inhomogeneous structure in the tissue using ultrasonic image, and the clinical evaluation is advanced.
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  • Automatic Construction of Medical Image Processing and Recognition based on Machine Learning and Evolutionary Computation
    Tomoharu NAGAO
    2010 Volume 28 Issue 3 Pages 169-174
    Published: 2010
    Released on J-STAGE: September 07, 2010
    DOIhttps://doi.org/10.11409/mit.28.169
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    This paper describes Evolutionary Image Processing and Recognition which generate image processing and recognition procedures automatically by using machine learning and evolutionary computation. After the basic technologies are outlined, several practical methodologies are described. As the examples of Evolutionary Image Processing, automatic construction of two dimensional, three dimensional and motion image processing are shown. Moreover, the author describes the method of greatly improving the recognition ratio of images by optimizing features and preprocessing based on Evolutionary Image Recognition.
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  • Numerical Simulation of Blood Flow in Thoracic Aorta
    Hiroshi SUITO, Takuya UEDA
    2010 Volume 28 Issue 3 Pages 175-180
    Published: 2010
    Released on J-STAGE: September 07, 2010
    DOIhttps://doi.org/10.11409/mit.28.175
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    A numerical method for simulation of blood flow in the thoracic aorta is presented. Patient-specific aorta shapes are used in a centerline-fitted generalized coordinate system in which the Navier—Stokes equation is discretized using finite-difference approximation. The main target of this study is long-term adverse events that occur after endovascular stent—graft treatment. Thoracic endovascular aortic repair (TEVAR), or stent—graft treatment, has become widely accepted as an important option for treatment of thoracic aortic diseases. Many studies have proven the safety and efficacy of TEVAR with satisfactory short-term to mid-term outcomes. Nevertheless, even if the initial TEVAR treatment technically succeeds, some patients show recurrence and progression of diseases many years after treatment. Based on long-term follow-up examinations, such long-term morphological change and effects of hemodynamic flow apparently interact synergically. This study is intended to investigate the constant effect of vascular hemodynamics on the long-term adverse events using computational fluid dynamics based on finite-difference approximation with an immersed boundary/fictitious domain approach.
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Papers
  • Construction of a Diaphragmatic Function Map from a 4D Magnetic Resonance Image Using the Intersection Profile Method
    Yoshitada MASUDA, Tomoki NISHIKAWA, Hironobu WADA, Shigetoshi YOSHIDA, ...
    2010 Volume 28 Issue 3 Pages 181-188
    Published: 2010
    Released on J-STAGE: September 07, 2010
    DOIhttps://doi.org/10.11409/mit.28.181
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    Purpose: To evaluate diaphragmatic motion quantitatively, we constructed a diaphragmatic function map using a four-dimensional magnetic resonance image (4D-MRI) reconstructed using the intersection profile method. Methods and Materials: Six subjects (three healthy subjects and three patients with pulmonary disease) were examined during spontaneous breathing. A clinical MRI system (1.5T Intera Achieva Novadual; Philips) was employed, and the intersection profile method was used to reconstruct the 4D-MRI. The contours of the diaphragm were extracted from the 4D-MRI using a semiautomatic technique. These results were used to calculate the amount and speed of vertical displacement of the diaphragm. The two derived parameters were displayed as false-color maps called the "diaphragm displacement map" and the "diaphragm speed map". Results: The diaphragm displacement map showed that movement of the dorsal portion of the diaphragm was greater than that of the ventral portion of the diaphragm in the three healthy subjects. The distribution of diaphragmatic displacement in the patients with pulmonary disease differed from that in the healthy subjects. The diaphragm speed map showed paradoxical diaphragmatic motion in one patient. Conclusion: The proposed method is able to visualize diaphragmatic function during spontaneous breathing and may prove useful for the investigation of normal and abnormal respiratory mechanics.
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