Sinogram-based adaptive iterative reconstruction for sparse view x-ray computed tomography / D. Trinca [et al.]
Уровень набора: (RuTPU)RU\TPU\network\12028, Proceedings of SPIEЯзык: английский.Резюме или реферат: With the availability of more powerful computing processors, iterative reconstruction algorithms have recentlybeen successfully implemented as an approach to achieving significant dose reduction in X-ray CT. In thispaper, we propose an adaptive iterative reconstruction algorithm for X-ray CT, that is shown to provide resultscomparable to those obtained by proprietary algorithms, both in terms of reconstruction accuracy and executiontime. The proposed algorithm is thus provided for free to the scientific community, for regular use, and forpossible further optimization..Примечания о наличии в документе библиографии/указателя: [References: 11 tit.].Аудитория: .Тематика: электронный ресурс | труды учёных ТПУ | итеративная реконструкция | оптимизация | рентгеновская томография Ресурсы он-лайн:Щелкните здесь для доступа в онлайнНет реальных экземпляров для этой записи
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[References: 11 tit.]
With the availability of more powerful computing processors, iterative reconstruction algorithms have recentlybeen successfully implemented as an approach to achieving significant dose reduction in X-ray CT. In thispaper, we propose an adaptive iterative reconstruction algorithm for X-ray CT, that is shown to provide resultscomparable to those obtained by proprietary algorithms, both in terms of reconstruction accuracy and executiontime. The proposed algorithm is thus provided for free to the scientific community, for regular use, and forpossible further optimization.
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