Abstract:
:A parametric model for the ultrasound signals from blood and tissue is developed and a new imaging method, knowledge-based imaging, is defined. This method utilizes the likelihood ratio function to classify blood and tissue signals. The method separates blood and tissue signals by the difference in movement patterns in addition to the difference in powers. The prior information about the levels of expected system white noise and clutter noise are utilized to enhance the image quality. The implementation of knowledge-based imaging is outlined, and some knowledge-based images with different parameter settings are visually compared with a second-harmonic image, a fundamental image and a bandwidth image. In order to understand the parameter estimation process a computer simulation is introduced to outline the differences between the imaging methods. The apparent error rates are calculated in any reasonable tissue to blood signal ratio, tissue to white noise ratio and clutter to white noise ratio. A discussion of further development of knowledge-based imaging is also described in this paper.
journal_name
Comput Methods Programs Biomedjournal_title
Computer methods and programs in biomedicineauthors
Hovda S,Rue H,Olstad Bdoi
10.1016/j.cmpb.2009.03.012subject
Has Abstractpub_date
2009-10-01 00:00:00pages
12-24issue
1eissn
0169-2607issn
1872-7565pii
S0169-2607(09)00118-7journal_volume
96pub_type
杂志文章abstract::This study employs the concept of applying constant-phase models to input respiratory impedance data obtained with the non-invasive Forced Oscillation Technique (FOT) lung function test. Changes in respiratory mechanics from healthy and chronic obstructive pulmonary disease (COPD) diagnosed patients are observed with ...
journal_title:Computer methods and programs in biomedicine
pub_type: 杂志文章
doi:10.1016/j.cmpb.2009.06.006
更新日期:2010-01-01 00:00:00
abstract:BACKGROUND AND OBJECTIVE:Respiratory gating training is a common technique to increase patient proprioception, with the goal of (e.g.) minimizing the effects of organ motion during radiotherapy. In this work, we devise a system based on autoencoders for classification of regular, apnea and unconstrained breathing patte...
journal_title:Computer methods and programs in biomedicine
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journal_title:Computer methods and programs in biomedicine
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journal_title:Computer methods and programs in biomedicine
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journal_title:Computer methods and programs in biomedicine
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journal_title:Computer methods and programs in biomedicine
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journal_title:Computer methods and programs in biomedicine
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journal_title:Computer methods and programs in biomedicine
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journal_title:Computer methods and programs in biomedicine
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journal_title:Computer methods and programs in biomedicine
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journal_title:Computer methods and programs in biomedicine
pub_type: 杂志文章
doi:10.1016/j.cmpb.2006.04.004
更新日期:2006-06-01 00:00:00
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journal_title:Computer methods and programs in biomedicine
pub_type: 杂志文章
doi:10.1016/j.cmpb.2009.07.007
更新日期:2010-02-01 00:00:00
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journal_title:Computer methods and programs in biomedicine
pub_type: 杂志文章
doi:10.1016/j.cmpb.2019.105184
更新日期:2020-04-01 00:00:00
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journal_title:Computer methods and programs in biomedicine
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doi:10.1016/j.cmpb.2017.02.006
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journal_title:Computer methods and programs in biomedicine
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journal_title:Computer methods and programs in biomedicine
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journal_title:Computer methods and programs in biomedicine
pub_type: 杂志文章
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journal_title:Computer methods and programs in biomedicine
pub_type: 杂志文章
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journal_title:Computer methods and programs in biomedicine
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journal_title:Computer methods and programs in biomedicine
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journal_title:Computer methods and programs in biomedicine
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doi:10.1016/j.cmpb.2017.03.021
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