Literature DB >> 6377031

Noise reduction methods for hybrid subtraction.

D G Nishimura, A Macovski, W R Brody.   

Abstract

In digital subtraction angiography, hybrid subtraction provides selective vessel images free of soft-tissue motion artifacts but with a lower signal-to-noise ratio (SNR) than temporal subtraction images. An image processing method called measurement-dependent filtering has been developed to enhance the SNR of hybrid images without losing resolution or selectivity. Linear combinations of four images consisting of a pre- and postcontrast dual-energy measurement pair form both the hybrid image and a lower noise but less selective vessel image. The noise-reduced image is derived by combining the low-frequency components of the hybrid image with the high-frequency components of the lower noise image in a variety of ways. The results of the filtering method, when tested on both phantom and clinical data, display images with about the same degree of conspicuity as the hybrid image and a SNR approaching that of the temporal image.

Mesh:

Year:  1984        PMID: 6377031     DOI: 10.1118/1.595501

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  1 in total

1.  Adaptive Image Rescaling for Weakly Contrast-Enhanced Lesions in Dedicated Breast CT: A Phantom Study.

Authors:  Bitbyeol Kim; Ho Kyung Kim; Jinsung Kim; Yongkan Ki; Ji Hyeon Joo; Hosang Jeon; Dahl Park; Wontaek Kim; Jiho Nam; Dong Hyeon Kim
Journal:  Taehan Yongsang Uihakhoe Chi       Date:  2021-09-15
  1 in total

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