P3J-1 A Novel Multi-Focus Image Reconstruction Technique in High Frequency Ultrasound

2006 ◽  
Author(s):  
C.-K. Yeh ◽  
C.-H. Chunh ◽  
C.-C. Chuang
Keyword(s):  
Image Reconstruction ◽  
High Frequency ◽  
Reconstruction Technique ◽  
High Frequency Ultrasound ◽  
Focus Image ◽  
Image Reconstruction Technique ◽  
Frequency Ultrasound

Multi-Exposure and Multi-Focus Image Fusion in Gradient Domain

2016 ◽  
Vol 25 (10) ◽  
pp. 1650123 ◽  
Author(s):  
Sujoy Paul ◽  
Ioana S. Sevcenco ◽  
Panajotis Agathoklis
Keyword(s):  
Image Reconstruction ◽  
Image Fusion ◽  
Reconstruction Algorithm ◽  
Haar Wavelet ◽  
Reconstruction Technique ◽  
Fusion Algorithm ◽  
Poisson Solver ◽  
Pixel Location ◽  
Focus Image ◽  
Image Reconstruction Technique

A multi-exposure and multi-focus image fusion algorithm is proposed. The algorithm is developed for color images and is based on blending the gradients of the luminance components of the input images using the maximum gradient magnitude at each pixel location and then obtaining the fused luminance using a Haar wavelet-based image reconstruction technique. This image reconstruction algorithm is of [Formula: see text] complexity and includes a Poisson solver at each resolution to eliminate artifacts that may appear due to the nonconservative nature of the resulting gradient. The fused chrominance, on the other hand, is obtained as a weighted mean of the chrominance channels. The particular case of grayscale images is treated as luminance fusion. Experimental results and comparison with other fusion techniques indicate that the proposed algorithm is fast and produces similar or better results than existing techniques for both multi-exposure as well as multi-focus images.

PEMBELAJARAN SIMULASI PENCITRAAN CT DENGAN MENGGUNAKAN PRINSIP REKONSTRUKSI CITRA DALAM SOFTWARE MATLAB

2015 ◽  
Vol 8 (3) ◽  
pp. 161
Author(s):  
Samuel Gideon
Keyword(s):  
Image Reconstruction ◽  
Ct Imaging ◽  
The Body ◽  
Reconstruction Technique ◽  
Imaging Features ◽  
Back Projection ◽  
Cross Sectional ◽  
Low Contrast ◽  
Image Reconstruction Technique ◽  
Imaging Algorithms

This research was conducted as a learning alternatives for study of CT (computed tomograpghy) imaging using image reconstruction technique which are inversion matrix, back projection and filtered back projection. CT imaging can produce images of objects that do not overlap. Objects more easily distinguishable although given the relatively low contrast. The image is generated on CT imaging is the result of reconstruction of the original object. Matlab allows us to create and write imaging algorithms easily, easy to undersand and gives applied and exciting other imaging features. In this study, an example cross-sectional image recon-struction performed on the body of prostate tumors using. With these methods, medical prac-titioner (such as oncology clinician, radiographer and medical physicist) allows to simulate the reconstruction of CT images which almost resembles the actual CT visualization techniques.Keywords : computed tomography (CT), image reconstruction, Matlab

scholarly journals Effectiveness of high frequency ultrasound on pressure ulcer

Medicine ◽  
2019 ◽  
Vol 98 (37) ◽  
pp. e17111 ◽  
Author(s):  
Xiang-qin Gao ◽  
Xiao-mei Xue ◽  
Jian-kang Zhang ◽  
Fei Yan ◽  
Qiu-xia Mu
Keyword(s):  
Pressure Ulcer ◽  
High Frequency ◽  
High Frequency Ultrasound ◽  
Frequency Ultrasound

Evaluation of frontal fibrosing alopecia with ultra‐high‐frequency ultrasound

2021 ◽  
Author(s):  
Carolina Ávila de Almeida ◽  
Simone Guarçoni ◽  
Bruna Duque Estrada ◽  
Maria Carolina Zafra Páez ◽  
Clarissa Canella
Keyword(s):  
High Frequency ◽  
High Frequency Ultrasound ◽  
Ultra High Frequency ◽  
Frequency Ultrasound
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