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TUTCRIS

Enhancing CT 3D Images by Independent Component Analysis of Projection Images

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
Otsikko15th Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019 - Proceedings of MEDICON 2019
ToimittajatJorge Henriques, Paulo de Carvalho, Nuno Neves
KustantajaSpringer
Sivut381-389
Sivumäärä9
ISBN (painettu)9783030316341
DOI - pysyväislinkit
TilaJulkaistu - 2020
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaMediterranean Conference on Medical and Biological Engineering and Computing - Coimbra, Portugali
Kesto: 26 syyskuuta 201928 syyskuuta 2019

Julkaisusarja

NimiIFMBE Proceedings
Vuosikerta76
ISSN (painettu)1680-0737
ISSN (elektroninen)1433-9277

Conference

ConferenceMediterranean Conference on Medical and Biological Engineering and Computing
MaaPortugali
KaupunkiCoimbra
Ajanjakso26/09/1928/09/19

Tiivistelmä

Computed tomography (CT) is an imaging modality producing 3D images from sets of 2D X-ray images taken around the object. The images are noisy by nature, and segmentation of the 3D images is tedious. Also, detection of low contrast objects may be difficult, if not impossible. Here, we propose an independent component analysis (ICA) based method to process sets of 2D projection images prior to 3D reconstruction to remove noise, and to enhance objects for detection and segmentation. In this paper, a proof-of-concept is provided: the proposed method was able to separate noise and image components, as well as to make visible objects that were not observable in 3D images without processing. We demonstrate our method in object separation with 2D slice image processing simulations, and by enhancing a 3D image of a polymer sample taken with Xradia MicroXCT-400. The method is applicable in any CT tomography for which a number of project image sets with different contrasts can be taken, e.g., in multispectral fashion.

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