Abstract：
:Three-dimensional freehand ultrasound imaging produces a set of irregularly spaced B-scans, which are typically reconstructed on a regular grid for visualization and data analysis. Most standard reconstruction algorithms are designed to minimize computational requirements and do not exploit the underlying shape of the data. We investigate whether an approximation with splines holds any promise as a better reconstruction method. A radial basis function approximation method is implemented and compared with three standard methods. While the radial basis approach is computationally expensive, it produces accurate reconstructions without the kind of visible artefacts common with the standard methods. The other potential advantages of radial basis functions, such as the direct computation of derivatives, make further investigation worthwhile.
journal_name
Med Image Analjournal_title
Medical image analysisauthors
Rohling R,Gee A,Berman Ldoi
10.1016/s1361-8415(99)80028-0subject
Has Abstractpub_date
1999-12-01 00:00:00pages
339-59issue
4eissn
1361-8415issn
1361-8423pii
S1361-8415(99)80028-0journal_volume
3pub_type
杂志文章abstract：:With the development of deep learning, its application in diagnosis of benign and malignant thyroid nodules has been widely concerned. However, it is difficult to obtain medical images, resulting in insufficient number of data, which contradicts the large amount of data required for acquiring effective deep learning d...
journal_title：Medical image analysis
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journal_title：Medical image analysis
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abstract：:Retinal images are routinely acquired and assessed to provide diagnostic evidence for many important diseases, e.g. diabetes or hypertension. Because of the acquisition process, very often these images are non-uniformly illuminated and exhibit local luminosity and contrast variability. This problem may seriously affec...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2004.07.001
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journal_title：Medical image analysis
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journal_title：Medical image analysis
pub_type： 杂志文章
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journal_title：Medical image analysis
pub_type： 杂志文章
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journal_title：Medical image analysis
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journal_title：Medical image analysis
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journal_title：Medical image analysis
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journal_title：Medical image analysis
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journal_title：Medical image analysis
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journal_title：Medical image analysis
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更新日期：2021-01-01 00:00:00
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journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2015.12.004
更新日期：2016-04-01 00:00:00
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journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2006.04.002
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journal_title：Medical image analysis
pub_type： 杂志文章
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更新日期：2000-12-01 00:00:00
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更新日期：2020-12-01 00:00:00
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journal_title：Medical image analysis
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doi：10.1016/j.media.2016.02.001
更新日期：2016-07-01 00:00:00
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journal_title：Medical image analysis
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journal_title：Medical image analysis
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journal_title：Medical image analysis
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journal_title：Medical image analysis
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journal_title：Medical image analysis
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journal_title：Medical image analysis
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journal_title：Medical image analysis
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journal_title：Medical image analysis
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journal_title：Medical image analysis
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journal_title：Medical image analysis
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doi：10.1016/j.media.2011.07.002
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