کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
494463 862796 2016 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Locating of 2π-projection view and projection denoising under fast continuous rotation scanning mode of micro-CT
ترجمه فارسی عنوان
جانمایی نظر 2π _ طرح ریزی و حذف نویز طرح ریزی تحت حالت اسکن چرخش مداوم سریع میکرو CT
کلمات کلیدی
میکرو CT؛ داده های توالی پروجکشن؛ اسکن چرخش مداوم سریع؛ حذف نویز تصویر. شباهت ساختار
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی

The fast continuous rotation scanning mode is suitable for situations when a higher scanning speed or a lower radiation dose is required for micro-CT. Under this scanning mode, the specimen rotates far beyond 2π, but not an integral multiple of 2π continuously while the detector collects projection images at a high frame frequency, which consequently produces uneven-distributed and redundant projections with a high level of noise. Therefore, for subsequent three-dimensional (3D) image reconstruction, each 2π-projection view during a whole rotation span must be accurately located, and image denoising is an essential pre-processing step for improving quality of reconstructed images. For matching the rotation angle with the projection image accurately under the fast continuous rotation scanning mode, a structure similarity (SSIM) coefficient was used as a control parameter for extraction of periodic projection sequences for 3D reconstruction. Meanwhile, an improved non-local means (NL-means) algorithm was proposed for noise reduction in projection sequences, and a graphic processing unit (GPU) capable of highly parallel and fast floating-point calculation was used for alleviating the computation cost of the algorithm. The experimental results show that the SSIM-based 2π-projection-view locating method is highly accurate in identifying periodic projection sequences and is easy to implement, and that the improved NL-means algorithm can well restrain the quantum noise while preserving detailed information.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 207, 26 September 2016, Pages 335–345
نویسندگان
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