ANALYSIS EXPOSURE INDEX AS AN OPTIMIZATION EFFORT ON EXAMINATION CHEST POSTERIOR ANTERIOR

Background: Radiographers are responsible for producing image quality which can provide accurate diagnostic information by considering the lowest possible radiation dose according to the As Low As Reasonably Achievable (ALARA) principle. Participation between radiographers and medical physicists is needed in optimizing efforts to control the selection of exposure factors by the required clinical radiographic examination. Purpose: To analyze the exposure index on examination chest posterior-anterior. Methods: Quantitative descriptive by analyzing the percentage of exposure index results used in chest PA radiographs as an effort to optimize: image quality and radiation dose indicators on chest PA examinations. Results: Optimization of exposure percentage results of 68%, 25% underexposure, 4% underexposure, 2% overexposure, 1% overexposure (noise). Radiographers have tried to optimize: image quality and image radiation dose by selecting exposure factors that are tailored to the patient’s condition and maximizing post-processing for increased quality. Conclusion: In optimizing the CR imaging system, it is necessary to understand exposure index, this is related to the underexposed, optimal, and overexposed categories, besides radiographers can take advantage of post-processing to improve image quality.

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Spectral detector CT applications in advanced liver imaging

British Journal of Radiology ◽

10.1259/bjr.20201290 ◽

2021 ◽

pp. 20201290

Author(s):

Noor Fatima Majeed ◽

Marta Braschi Amirfarzan ◽

Christoph Wald ◽

Jeremy R Wortman

Keyword(s):

Clinical Practice ◽

Image Quality ◽

Radiation Dose ◽

Diagnostic Information ◽

Liver Imaging ◽

Post Processing ◽

Improve Image Quality ◽

Spectral Detector Ct ◽

Processing Techniques

Objective: Spectral detector CT (SDCT) has many applications in advanced liver imaging. If appropriately utilized, this technology has the potential to improve image quality, provide new diagnostic information, and allow for decreased radiation dose. The purpose of this review is to familiarize radiologists with the uses of SDCT in liver imaging. Conclusion: SDCT has a variety of post-processing techniques, which can be used in advanced liver imaging and can significantly add value in clinical practice.

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REMOTE SENSING IMAGE QUALITY ASSESSMENT EXPERIMENT WITH POST-PROCESSING

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xlii-3-665-2018 ◽

2018 ◽

Vol XLII-3 ◽

pp. 665-668

Author(s):

W. Jiang ◽

S. Chen ◽

X. Wang ◽

Q. Huang ◽

H. Shi ◽

...

Keyword(s):

Image Processing ◽

Image Quality ◽

Quality Assessment ◽

Physical Simulation ◽

Image Quality Assessment ◽

Imaging System ◽

Post Processing ◽

Improve Image Quality ◽

System Parameters ◽

Imaging Parameters

This paper briefly describes the post-processing influence assessment experiment, the experiment includes three steps: the physical simulation, image processing, and image quality assessment. The physical simulation models sampled imaging system in laboratory, the imaging system parameters are tested, the digital image serving as image processing input are produced by this imaging system with the same imaging system parameters. The gathered optical sampled images with the tested imaging parameters are processed by 3 digital image processes, including calibration pre-processing, lossy compression with different compression ratio and image post-processing with different core. Image quality assessment method used is just noticeable difference (JND) subject assessment based on ISO20462, through subject assessment of the gathered and processing images, the influence of different imaging parameters and post-processing to image quality can be found. The six JND subject assessment experimental data can be validated each other. Main conclusions include: image post-processing can improve image quality; image post-processing can improve image quality even with lossy compression, image quality with higher compression ratio improves less than lower ratio; with our image post-processing method, image quality is better, when camera MTF being within a small range.

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