Noise and threshold contrast characteristics of a digital fluorographic system

Harrison, R. M.; Kotre, C J

doi:10.1088/0031-9155/31/5/004

Cited by 11 publications

(2 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It can be assumed that the quantum motions of both the incident X-rays and the image noise follow a Poisson distribution [11,12]. When an event occurs exactly λ times, which, on average, occurs r times per unit time, the probability P(r) follows a Poisson distribution defined as follows:…”

Section: Adding Image Noisementioning

confidence: 99%

Effect of the Number of Projected Images on the Noise Characteristics in Tomosynthesis Imaging

Fukui

Matsuura

Kida

et al. 2021

Progress in Medical Physics

View full text Add to dashboard Cite

In this study, we investigated the relationship between the noise characteristics and the number of projected images in tomosynthesis using a digital phantom. Methods:The digital phantom consisted of a columnar phantom in the center of the image and a spherical phantom with a diameter of 80 pixels. A virtual scan was performed, and 128 projected images (Tomo_w/o) of the phantoms were obtained. The image noise according to the Poisson distribution was added to the projected images (Tomo_×1). Furthermore, another projected image with additional noise was prepared (Tomo_×1/2). For each dataset, we created datasets with 64 (half) and 32 (quarter) projections by removing the even-numbered images twice from the 128 (fully) projected images. Tomosynthesis images were reconstructed by filtered back projection (FBP). The modulation transfer function (MTF) was estimated using the sphere method, and the noise power spectrum (NPS) was estimated using the two-dimensional Fourier transform method.Results: The MTFs did not change between datasets, and the NPSs improved as the number of projected images increased. The noise characteristics of the Tomo_×1_half images were the same as those of the Tomo_×1/2_full. Conclusions:To achieve a reduction in the patient dose in tomosynthesis acquisition, we recommend reducing the number of projected images rather than reducing the dose per projection.

show abstract

Section: Adding Image Noisementioning

confidence: 99%

Effect of the Number of Projected Images on the Noise Characteristics in Tomosynthesis Imaging

Fukui

Matsuura

Kida

et al. 2021

Progress in Medical Physics

View full text Add to dashboard Cite

show abstract

“…Barbaric et a1 (1982) have described a fluorographic system for digital subtraction in which an image isocon television camera views a 30.5 x 22.9 cm rare-earth Screen via an angled mirror, in a design similar to that employed in a radiotherapy simulator by Thompson (1979) and Harrison and Farmer (1978).…”

Section: Digital Radiography 763mentioning

confidence: 99%

Digital radiography

Harrison¹

1988

Phys. Med. Biol.

Self Cite

View full text Add to dashboard Cite

A quantitative comparison of the digital techniques reviewed in section 4.1-4.7 is difficult, for two reasons. Firstly, various authors have used slightly different techniques for assessing aspects of imaging performance (e.g. a variety of test objects for, and definitions of, spatial resolution). Secondly, with all imaging systems there exists an inter-relationship between spatial resolution, image acquisition time, image noise and dose. Some authors have chosen to emphasise one feature at the expense of others. Arnold (1982), in an overview of digital radiographic technology at that time, also noted the lack of standardisation of measurement techniques and exposure conditions, but nevertheless attempted a quantitative comparison of some aspects of digital radiographic systems with screen-film radiography and CT. The continuing developments in the field since then make a brief quantitative intercomparison of dubious value. Nevertheless, a qualitative summary of point, line and area exposure techniques is given in table 2 which incorporates many of the comments made by Arnold et al (1986) in a similar summary of digital radiographic systems.

show abstract

An FPGA-Oriented Algorithm for Real-Time Filtering of Poisson Noise in Video Streams, with Application to X-Ray Fluoroscopy

Castellano

Esposito

et al. 2019

Circuits Syst Signal Process

View full text Add to dashboard Cite

Noise and threshold contrast characteristics of a digital fluorographic system

Cited by 11 publications

References 13 publications

Effect of the Number of Projected Images on the Noise Characteristics in Tomosynthesis Imaging

Effect of the Number of Projected Images on the Noise Characteristics in Tomosynthesis Imaging

Digital radiography

An FPGA-Oriented Algorithm for Real-Time Filtering of Poisson Noise in Video Streams, with Application to X-Ray Fluoroscopy

Contact Info

Product

Resources

About