Open AccessCombined multi-kernel head computed tomography images optimized for depicting both brain parenchyma and bone
Author(s) -
Satoshi Takagi,
Hiroyuki Nagase,
Tatsuya Hayashi,
Tamotsu Kita,
Katsumi Hayashi,
Shigeru Sanada,
Masayuki Koike
Publication year - 2014
Publication title -
journal of x-ray science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.357
H-Index - 32
eISSN - 1095-9114
pISSN - 0895-3996
DOI - 10.3233/xst-140432
Subject(s) - kernel (algebra) , artificial intelligence , computer vision , computer science , pixel , hounsfield scale , skull , medicine , mathematics , computed tomography , radiology , anatomy , combinatorics
The hybrid convolution kernel technique for computed tomography (CT) is known to enable the depiction of an image set using different window settings.
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