Ultrasonic Tissue Characterization Using Texture Analysis

Ultrasonic Tissue Characterization Using Texture Analysis PDF Author: P. R. Arul
Publisher:
ISBN:
Category :
Languages : en
Pages : 122

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Ultrasonic Tissue Characterization Using Texture Analysis

Ultrasonic Tissue Characterization Using Texture Analysis PDF Author: P. R. Arul
Publisher:
ISBN:
Category :
Languages : en
Pages : 122

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Ultrasonic Tissue Characterization

Ultrasonic Tissue Characterization PDF Author: J.M. Thijssen
Publisher: Springer Science & Business Media
ISBN: 9400976666
Category : Medical
Languages : en
Pages : 169

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The second E. C. Workshop on Ultrasonic Tissue Characterization was organized for the assessment of research goals and plans as the basis to a grant proposal for a "Concerted Action" which will be forwarded to the European Commission. It should, therefore, not only be considered as a work in progress exhibition which succeeded the former activities within the E. C. (Inventory on Tissue Characterization in Europe and first Workshop). The Steering Group invited a 1 imited group of Institutes to send its group leader and a research fel low in the entitled field, who should expose the overall research program, as wei 1 as the more specific work on tissue characterization by RF signal analysis and spectroscopy. The ultimate goal of the Workshop has been the formulation of schemes of interaction among the Institutes and individuals and the definition of cooperative research programs. The remainder of the groups and some of the groups present are working in the field of analysis and processing of cl inical A- and B-mode echograms (i. e. video signals). Because this work is more closely related to the cl inical diagnostics it was decided that for that reason no preparatory workshop was needed. In the final proposal for the Concerted Action this work wi 1 1 get ample attention. Although not many clinicians were present, their positive interest in the sophisticated analysis techniques and their contribution to the dis cussions again have been a most valuable and stimulating experience.

Ultrasonic Tissue Characterization Using 2-D Spectrum Analysis

Ultrasonic Tissue Characterization Using 2-D Spectrum Analysis PDF Author: Tian Liu
Publisher:
ISBN:
Category :
Languages : en
Pages : 358

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Ultrasonic Tissue Characterization

Ultrasonic Tissue Characterization PDF Author: Floyd Dunn
Publisher: Springer Science & Business Media
ISBN: 4431683828
Category : Medical
Languages : en
Pages : 255

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Book Description
There are two major reasons for having this symposium. First, Tohoku Univer sity is the place where ultrasound investigations in Japan originated. Starting from the research studies of Professors H. Nukiyama and Y. Kikuchi of To hoku University, Professor J. Saneyoshi of Tokyo Institute of Technology, and Dr. K. Kato of Osaka University - all graduates of Tohoku University - the results spread to all parts of Japan. More recently we have had acoustic macro scopic studies by researchers like Professor N. Chubachi. As regards tissue char acterization, which was the main theme of the symposium, the collaboration among research workers in Japan and the United States started 10 years ago between Professor F. Dunn of the University of Illinois and staff members of Tohoku University and the Tokyo Institute of Technology. So this conference commemorates the lOth anniversary of that joint research effort. The second reason for this conference is that the application of ultrasound has become wide spread and indispensable in the routine clinical activities of medicine. But there have not been many breakthroughs in terms of quantitative and qualitative measurement of the living body tissues. Also, there are many problems with regard to practical application. There are various points that have not been elucidated yet as to the physical and acoustical characteristics of ultrasound itself. The methodology has not in all cases been well established. Therefore, the scientific elucidation of these areas is essential.

Independent Component Analysis (ICA) Applied to Ultrasound Image Processing and Tissue Characterization

Independent Component Analysis (ICA) Applied to Ultrasound Image Processing and Tissue Characterization PDF Author: Di Lai
Publisher:
ISBN:
Category : Diagnostic ultrasonic imaging
Languages : en
Pages : 358

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"As a complicated ubiquitous phenomenon encountered in ultrasound imaging, speckle can be treated as either annoying noise that needs to be reduced or the source from which diagnostic information can be extracted to reveal the underlying properties of tissue. In this study, the application of Independent Component Analysis (ICA), a relatively new statistical signal processing tool appeared in recent years, to both the speckle texture analysis and despeckling problems of B-mode ultrasound images was investigated. It is believed that higher order statistics may provide extra information about the speckle texture beyond the information provided by first and second order statistics only. However, the higher order statistics of speckle texture is still not clearly understood and very difficult to model analytically. Any direct dealing with high order statistics is computationally forbidding. On the one hand, many conventional ultrasound speckle texture analysis algorithms use only first or second order statistics. On the other hand, many multichannel filtering approaches use pre-defined analytical filters which are not adaptive to the data. In this study, an ICA-based multichannel filtering texture analysis algorithm, which considers both higher order statistics and data adaptation, was proposed and tested on the numerically simulated homogeneous speckle textures. The ICA filters were learned directly from the training images. Histogram regularization was conducted to make the speckle images quasi-stationary in the wide sense so as to be adaptive to an ICA algorithm. Both Principal Component Analysis (PCA) and a greedy algorithm were used to reduce the dimension of feature space. Finally, Support Vector Machines (SVM) with Radial Basis Function (RBF) kernel were chosen as the classifier for achieving best classification accuracy. Several representative conventional methods, including both low and high order statistics based methods, and both filtering and non-filtering methods, have been chosen for comparison study. The numerical experiments have shown that the proposed ICA-based algorithms in many cases outperforms other algorithms for comparison. Two-component texture segmentation experiments were conducted and the proposed algorithm showed strong capability of segmenting two visually very similar yet different texture regions with rather fuzzy boundaries and almost the same mean and variance. Through simulating speckle with first order statistics approaching gradually to the Rayleigh model from different non-Rayleigh models, the experiments to some extent reveal how the behavior of higher order statistics changes with the underlying property of tissues. It has been demonstrated that when the speckle approaches the Rayleigh model, both the second and higher order statistics lose the texture differentiation capability. However, when the speckles tend to some non-Rayleigh models, methods based on higher order statistics show strong advantage over those solely based on first second order statistics. The proposed algorithm may potentially find clinical application in the early detection of soft tissue disease, and also be helpful for better understanding ultrasound speckle phenomenon in the perspective of higher order statistics. For the despeckling problem, an algorithm was proposed which adapted the ICA Sparse Code Shrinkage (ICA-SCS) method for the ultrasound B-mode image despeckling problem by applying an appropriate preprocessing step proposed by other researchers. The preprocessing step makes the speckle noise much closer to the real white Gaussian noise (WGM) hence more amenable to a denoising algorithm such as ICA-SCS that has been strictly designed for additive WGN. A discussion is given on how to obtain the noise-free training image samples in various ways. The experimental results have shown that the proposed method outperforms several classical methods chosen for comparison, including first or second order statistics based methods (such as Wiener filter) and multichannel filtering methods (such as wavelet shrinkage), in the capability of both speckle reduction and edge preservation. "--Abstract.

Tissue Characterization with Ultrasound

Tissue Characterization with Ultrasound PDF Author:
Publisher:
ISBN:
Category : Diagnosis, Ultrasonic
Languages : en
Pages : 296

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Ultrasonic Tissue Characterization II

Ultrasonic Tissue Characterization II PDF Author: Melvin Linzer
Publisher:
ISBN:
Category : Diagnosis, Ultrasonic
Languages : en
Pages : 380

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Ultrasonic Scattering in Biological Tissues

Ultrasonic Scattering in Biological Tissues PDF Author: K. Kirk Shung
Publisher: CRC Press
ISBN: 135140637X
Category : Medical
Languages : en
Pages : 514

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Book Description
Ultrasonic Scattering in Biological Tissues contains 14 chapters written by world-renowned authorities who describe current work related to theoretical and experimental aspects of ultrasonic scattering phenomenon in biological tissues. Introductory material regarding ultrasonic scattering in biological tissues is presented, followed by discussions on theoretical treatments, experimental approaches, in vitro results on selective tissues, in vivo results on various tissues, and the current status of quantitative backscatter imaging. Ultrasonic Scattering in Biological Tissues will be an excellent reference for biomedical engineers, ultrasound specialists, biophysicists, and radiology researchers.

Ultrasonic Tissue Characterization

Ultrasonic Tissue Characterization PDF Author: Melvin Linzer
Publisher:
ISBN:
Category : Diagnosis, Ultrasonic
Languages : en
Pages : 304

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Ultrasonic Scattering in Biological Tissues

Ultrasonic Scattering in Biological Tissues PDF Author: K. Kirk Shung
Publisher: CRC Press
ISBN: 9780849365683
Category : Medical
Languages : en
Pages : 520

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Book Description
Ultrasonic Scattering in Biological Tissues contains 14 chapters written by world-renowned authorities who describe current work related to theoretical and experimental aspects of ultrasonic scattering phenomenon in biological tissues. Introductory material regarding ultrasonic scattering in biological tissues is presented, followed by discussions on theoretical treatments, experimental approaches, in vitro results on selective tissues, in vivo results on various tissues, and the current status of quantitative backscatter imaging. Ultrasonic Scattering in Biological Tissues will be an excellent reference for biomedical engineers, ultrasound specialists, biophysicists, and radiology researchers.