A study of the x-ray image quality improvement in the examination of the respiratory system based on the new image processing technique

2014 ◽  
Author(s):  
Yuichi Nagai ◽  
Mayumi Kitagawa ◽  
Jun Torii ◽  
Takumi Iwase ◽  
Tomohiko Aso ◽  
...  
Keyword(s):  
Image Processing ◽  
Quality Improvement ◽  
Image Quality ◽  
Respiratory System ◽  
Processing Technique ◽  
Image Processing Technique ◽  
X Ray ◽  
Image Quality Improvement

A study on quality improvement of x-ray imaging of the respiratory-system based on a new image processing technique

2015 ◽  
Author(s):  
Jun Torii ◽  
Yuichi Nagai ◽  
Tatsuya Horita ◽  
Yuuji Matsumoto ◽  
Takehiro Izumo ◽  
...  
Keyword(s):  
Image Processing ◽  
Quality Improvement ◽  
Respiratory System ◽  
Processing Technique ◽  
Image Processing Technique ◽  
X Ray ◽  
X Ray Imaging

scholarly journals A Novel Singular Value Decomposition-Based Denoising Method in 4-Dimensional Computed Tomography of the Brain in Stroke Patients with Statistical Evaluation

Sensors ◽  
2020 ◽  
Vol 20 (11) ◽  
pp. 3063 ◽  
Author(s):  
WonSeok Yang ◽  
Jun-Yong Hong ◽  
Jeong-Youn Kim ◽  
Seung-ho Paik ◽  
Seung Hyun Lee ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Image Processing ◽  
Image Quality ◽  
Statistical Evaluation ◽  
Processing Technique ◽  
Singular Value ◽  
Image Processing Technique ◽  
Stroke Patients ◽  
Value Decomposition ◽  
The Brain

Computed tomography (CT) is a widely used medical imaging modality for diagnosing various diseases. Among CT techniques, 4-dimensional CT perfusion (4D-CTP) of the brain is established in most centers for diagnosing strokes and is considered the gold standard for hyperacute stroke diagnosis. However, because the detrimental effects of high radiation doses from 4D-CTP may cause serious health risks in stroke survivors, our research team aimed to introduce a novel image-processing technique. Our singular value decomposition (SVD)-based image-processing technique can improve image quality, first, by separating several image components using SVD and, second, by reconstructing signal component images to remove noise, thereby improving image quality. For the demonstration in this study, 20 4D-CTP dynamic images of suspected acute stroke patients were collected. Both the images that were and were not processed via the proposed method were compared. Each acquired image was objectively evaluated using contrast-to-noise and signal-to-noise ratios. The scores of the parameters assessed for the qualitative evaluation of image quality improved to an excellent rating (p < 0.05). Therefore, our SVD-based image-denoising technique improved the diagnostic value of images by improving their quality. The denoising technique and statistical evaluation can be utilized in various clinical applications to provide advanced medical services.

An image processing technique for the identification of contact pixels applied to X-ray CT images of implanted hip prostheses

1993 ◽  
Vol 38 (2) ◽  
pp. 323-328 ◽  
Author(s):  
E Berry ◽  
V G Langkamer ◽  
P C Jackson ◽  
M Snow ◽  
P R Goddard ◽  
...  
Keyword(s):  
Image Processing ◽  
Processing Technique ◽  
Ct Images ◽  
Image Processing Technique ◽  
Hip Prostheses ◽  
X Ray

scholarly journals Leg Bone Fracture Segmentation and Detection using Advanced Morphological Techniques

2019 ◽  
Vol 8 (2S3) ◽  
pp. 1246-1249 ◽  
Keyword(s):  
Image Processing ◽  
Bone Fracture ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Bone Area ◽  
Fracture Detection ◽  
Statistical Parameters ◽  
Accurate Identification ◽  
X Ray ◽  
Vehicle Accidents

The bone fracture is the most common problem and is likely to occur due to traumatic incidents like vehicle accidents, sporting injuries or due to conditions like osteoporosis, cancer related to bones. Fracture cannot be viewed by naked eye and so X-ray, CT, ultrasound, MRI images are used to detect it. These images cannot be diagnosed directly and henceforth image processing plays a very important role in fracture detection. This paper presents an image processing technique that uses Laplacian method of edge detection for accurate identification of fractured bone area from the X-ray/CT images. From the fractured bone area several parameters like mean, standard deviation are calculated in order to analyze the accuracy and sensitivity of the used technique. NIVISION assistant software is used and the statistical parameters are calculated.

New process for x-ray mirror image quality improvement

2002 ◽  
Author(s):  
Patrick Gailly ◽  
Daniel de Chambure ◽  
Jean Paul Collette ◽  
Claude A. J. Jamar ◽  
Robert Laine ◽  
...  
Keyword(s):  
Quality Improvement ◽  
Image Quality ◽  
Mirror Image ◽  
X Ray ◽  
New Process ◽  
Image Quality Improvement

Jaya Algorithm-Assisted Evaluation of Tooth Elements Using Digital Bitewing Radiography Images

2019 ◽  
pp. 107-128 ◽  
Author(s):  
Kesavan Suresh Manic ◽  
Imad Saud Al Naimi ◽  
Feras N. Hasoon ◽  
V. Rajinikanth
Keyword(s):  
Image Processing ◽  
Ground Truth ◽  
Processing Technique ◽  
Automated Detection ◽  
Image Processing Technique ◽  
Evaluation Procedure ◽  
Jaya Algorithm ◽  
X Ray ◽  
Bitewing Radiography ◽  
Heuristic Procedures

A considerable number of heuristic procedures are widely implemented to evaluate biomedical images. This chapter proposes an evaluation procedure for digital bitewing radiography (DBR) images using the Jaya algorithm. The proposed procedure implements an image processing technique by integrating of the multi-thresholding and segmentation procedure to extract the essential tooth elements recorded with DBR. In this paper, 80 dental x-ray images are considered for the evaluation. The performance of the proposed procedure is confirmed using a relative assessment between the extracted section and its corresponding ground-truth. The results of this study confirm that, for most of the DBR cases, the proposed approach offers better values of picture likeliness measures. Hence, this technique can be considered for the automated detection of tooth elements from the DBR obtained from clinics.

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