Non-invasive Estimation of Temperature during Physiotherapeutic Ultrasound Application Using the Average Gray-Level Content of B-Mode Images: A Metrological Approach

2017 ◽  
Vol 43 (9) ◽  
pp. 1938-1952 ◽  
Author(s):  
André V. Alvarenga ◽  
Volker Wilkens ◽  
Olga Georg ◽  
Rodrigo P.B. Costa-Félix
Keyword(s):  
Gray Level ◽  
Non Invasive ◽  
Ultrasound Application ◽  
Metrological Approach ◽  
Average Gray Level

Feasibility of non-invasive temperature estimation by the assessment of the average gray-level content of B-mode images

Ultrasonics ◽  
2014 ◽  
Vol 54 (6) ◽  
pp. 1692-1702 ◽  
Author(s):  
C.A. Teixeira ◽  
A.V. Alvarenga ◽  
G. Cortela ◽  
M.A. von Krüger ◽  
W.C.A. Pereira
Keyword(s):  
Gray Level ◽  
Temperature Estimation ◽  
Non Invasive ◽  
Average Gray Level

scholarly journals Frequency and average gray-level information for thermal ablation status in ultrasound B-Mode sequences

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Jens Ziegle ◽  
Alfredo Illanes ◽  
Axel Boese ◽  
Michael Friebe
Keyword(s):  
Thermal Ablation ◽  
Ex Vivo ◽  
Cell Damage ◽  
Potential Temperature ◽  
Image Sequences ◽  
Target Tissue ◽  
Gray Level ◽  
Porcine Liver ◽  
Time Frequency ◽  
Average Gray Level

AbstractDuring thermal ablation in a target tissue the information about temperature is crucial for decision making of successful therapy. An observable temporal and spatial temperature propagation would give a visual feedback of irreversible cell damage of the target tissue. Potential temperature features in ultrasound (US) B-Mode image sequences during radiofrequency (RF) ablation in ex-vivo porcine liver were found and analysed. These features could help to detect the transition between reversible and irreversible damage of the ablated target tissue. Experimental RF ablations of ex-vivo porcine liver were imaged with US B-Mode imaging and image sequences were recorded. Temperature was simultaneously measured within the liver tissue around a bipolar RF needle electrode. In the B-Mode images, regions of interest (ROIs) around the centre of the measurement spots were analysed in post-processing using average gray-level (AVGL) compared against temperature. The pole of maximum energy level in the time-frequency domain of the AVGL changes was investigated in relation to the measured temperatures. Frequency shifts of the pole were observed which could be related to transitions between the states of tissue damage.

A Lightweight Dynamic Binarization Method for 2D Barcode Scanning Terminal

2011 ◽  
Vol 130-134 ◽  
pp. 4079-4083
Author(s):  
Jia Jia Li ◽  
Ke Liang Zhang ◽  
Gang Wei ◽  
Bai Feng Wu
Keyword(s):  
Density Ratio ◽  
Recognition System ◽  
Gray Level ◽  
Two Dimensional ◽  
2D Barcode ◽  
Space Cost ◽  
Binarization Method ◽  
Local Average ◽  
Number Of Iterations ◽  
Average Gray Level

It is a difficult task to binarize image under uneven illumination, and this problem is always met in the image recognition system, such as two-dimensional barcode scanning terminal. In this paper, an efficient approach is proposed to binarize image which can tolerant uneven illumination and different light intensity. The method initializes thresholds with local average gray level and adjusts thresholds by calculating light density ratio. Due to characteristic of our approach, it can even obtain a sound result by limiting number of iterations which will seriously reduce computations and space cost. According to experiments, we can find that our method can achieve a good performance and meet the real-time requirement and quality demand for barcode scanning terminal.

Hyperacuity Image Sensors

1995 ◽  
Vol 377 ◽  
Author(s):  
David K. Biegelsen ◽  
Warren B. Jackson ◽  
René Lujan ◽  
David Jared ◽  
Richard L. Weisfield
Keyword(s):  
Amorphous Silicon ◽  
Image Sensors ◽  
Gray Level ◽  
Silicon Sensors ◽  
Sensor Processing ◽  
Position Sensitive ◽  
The Individual ◽  
Position Sensitive Detectors ◽  
Silicon Sensor ◽  
Average Gray Level

ABSTRACTThe human visual system perceives much smaller spatial steps in edges between high contrast regions than equivalents fine, periodic features. This characteristic is known as hyperacuity. We have designed, simulated, fabricated and characterized amorphous silicon sensors which provide hyperacuity information. The individual pixels are position sensitive detectors, the outputs of which provide the x and y first moments of the cell illumination pattern as well as the average gray level. In the simplest case the top electrode of a standard p-i-n diode sensor is replaced by four edge strip electrodes. Both quadrilateral cells (having all four lateral electrodes on the same side of the p-i-n diode) and duolateral cells (having x-electrodes on top and y-electrodes on bottom) have been tested. Results of probing the cells with rastered spots show that both types provide usable linearity and sensitivity. The duolateral structure provides greater orthogonality of the x and y information. One μm spatial resolution can be achieved with devices compatible with standard amorphous silicon sensor processing.

Radiomic features of renal cell carcinoma primary and metastatic sites as predictors of TERT and BAP1 mutations.

2021 ◽  
Vol 39 (6_suppl) ◽  
pp. 282-282
Author(s):  
Luis A Meza ◽  
Aleksandr Filippov ◽  
Sohaib Naim ◽  
Nazli Dizman ◽  
Alex Chehrazi-Raffle ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Primary Tumor ◽  
Renal Cell ◽  
Gray Level ◽  
Primary Tumors ◽  
Non Invasive ◽  
Invasive Method ◽  
Metastatic Sites ◽  
Tert Mutation

282 Background: TERT and BAP1 mutations are associated with poor clinical outcome in patients (pts) with metastatic renal cell carcinoma (mRCC) (Dizman et al JITC 2020; Joseph et al J Urol 2016). In this study we explore radiogenomics as a non-invasive method to identify these alterations. Methods: Pts with mRCC who had genomic testing in the course of routine clinical care were included in the current analysis. Pts were assessed with the GEM Extra assay, a CAP-accredited, CLIA-certified test encompassing paired tumor-normal whole exome sequencing (WES) and tumor whole transcriptome sequencing (TGen; Phoenix, AZ). Pts underwent CT imaging; radiomic analysis was performed on the segmented metastatic and primary lesions. Features were independently correlated with TERT and BAP1 mutation status to generate Pearson correlation values (PCVs). Results: 92 pts (65:27 M: F) were included in the analysis; of these, the majority of pts (84%) had clear cell histology. Alterations in the TERT gene were seen in 12 pts. In these pts 1,325 radiomic features of the primary tissue were examined and 251 features correlated with a PCV ≥ |0.2|. Of these, 42 features were correlated with a PCV ≥ |0.3|. Highest correlation with TERT mutation was seen with Gray Level Cooccurrence Matrix (GLCM) and First Order Features (FOF). 9 pts had BAP1 mutation with 5 detected in primary tumor and 4 in metastatic sites. Analysis of primary tumor imaging yielded no significant associations between radiomic features and BAP1 mutation. However, out of approximately 1,500 radiomic features noted in metastatic sites, 111 features correlated with BAP1 mutation with a PCV ≥ 0.2. Of these, 15 features correlated with a PCV ≥ 0.3. The radiomic features with the highest correlation with BAP1mt were Gray Level Dependence Matrix (GLDM) and GLCM. Conclusions: By identifying a correlation between radiomic features of TERT mutation in primary tumors and BAP1 mutation in metastatic sites, our work may ultimately yield a non-invasive method of discerning mutational status in patents with mRCC. Efforts are ongoing to validate our findings within The Cancer Imaging Archive.

Research on Image Seam-Line Removing Based on Illumination Correction

2013 ◽  
Vol 756-759 ◽  
pp. 3889-3893
Author(s):  
Wen Bang Sun ◽  
Hai Yan Tang ◽  
Hong Tao Wang ◽  
Yan Chang
Keyword(s):  
Theoretical Analysis ◽  
Gray Level ◽  
Traditional Methods ◽  
Average Gray Level ◽  
Texture Matching

Nowadays, the hard correction is a familiar method for image seam-line removing. But the method needs accurate gray difference around the seam-line which is difficult to achieve occasionally. To overcome such drawbacks, a novel seam-line removing method was proposed in the paper. First, optimal texture matching blocks beside the seam-line are searched, and the average gray level of the two blocks can be obtained. Then, the average gray level of the two blocks is adjusted to estimate the gray level of the same target in different illumination environment. Finally, the illumination is corrected based on the average gray level to remove the seam-line. The theoretical analysis and experiment results show that the proposed method is more effectual then traditional methods.

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