Equalization method for Medipix3RX

Rinkel, Jean; Magalhaes, D.P.; Wagner, F.M.; Fröjdh, E.; Sune, Rafael Ballabriga

doi:10.1016/j.nima.2015.08.029

Cited by 16 publications

(16 citation statements)

References 8 publications

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“…In this section, we implemented the proposed algorithm on two medical color images using the MATLAB 2017a software environment (in personal computer with core i7, 3.4GHz, RAM 16GB). As we stated in the introduction, the medical color images are obtained using the Medipix3RX chip technology that is used in today’s imaging devices [ 1 , 2 , 3 , 4 ].…”

Section: Experiments Results and Security Analysismentioning

confidence: 99%

“…ROTR X Shows x right round bit spin. According to the 64 W t values that are necessary, the first 16 are organized by the 512-bit input block whereas the remaining 48 W t amounts are calculated using Equation (3). The functions σ 0 and σ 1 are computed using Equation (4).…”

Section: Sha-256 (Secure Hash Algorithm 256)mentioning

confidence: 99%

“…Therefore, more significance should be given to the security of the sensitive data that are included in medical images by DICOM (digital imaging communication in medicine). In this textuality, many problems using various cryptographic techniques have been proposed in the literature to overcome this problem [ 1 , 2 , 3 , 4 ]. In their paper, Abdel-Nabi and Al-Haj proposed a hybrid encryption algorithm using watermarking that offers high embedding capabilities for medical images.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A New Algorithm for Medical Color Images Encryption Using Chaotic Systems

Moafimadani

Chen

Tang

2019

Entropy

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In this paper, we present a new algorithm based on chaotic systems to protect medical images against attacks. The proposed algorithm has two main parts: A high-speed permutation process and adaptive diffusion. After the implementation of the algorithm in the MATLAB software, it is observed that the algorithm is effective and appropriate. Also, to quantitatively evaluate the uniformity of the histogram, the chi-square test is done. Key sensitivity analysis demonstrates that images cannot be decrypted whenever a small change happens in the key, which indicates that the algorithm is suitable. Clearly, part of special images is selected to test the selected plain-text, like an all-white image and an all-black image. Entropy results obtained from the implementation of the algorithm on this type of images show that the proposed method is suitable for this particular type of images. In addition, the obtained results from noise and occlusion attacks analysis show that the proposed algorithm can withstand against these types of attacks. Moreover, it can be seen that the images after encryption and decryption are of good quality; the measures such as the correlation coefficients, the entropy, the number of pixel change rate (NPCR), and the uniform average change intensity (UACI) have suitable values; and the method is better than previous methods.

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Section: Experiments Results and Security Analysismentioning

confidence: 99%

Section: Sha-256 (Secure Hash Algorithm 256)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A New Algorithm for Medical Color Images Encryption Using Chaotic Systems

Moafimadani

Chen

Tang

2019

Entropy

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“…0.000-0.011 % in figure 7. A slow and precise equalisation (a procedure to flatten pixel noise baseline levels over the chip [11]) was started at 09:30 and finished an hour after. This procedure was run to correct for perceived damage as well as an increased number of bad pixels, i.e.…”

Section: Dead/unresponsive and Noisy Pixels Over Timementioning

confidence: 99%

Medipix3 proton and carbon ion measurements across full energy ranges and at clinical flux rates in MedAustron IR1

Bal¹,

Schmitzer²,

Franco³

et al. 2021

Preprint

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A: The Medipix3, a hybrid pixel detector with a silicon sensor, has been evaluated as a beam instrumentation device with proton and carbon ion measurements in the non-clinical research room (IR1) of MedAustron Ion Therapy Center. Protons energies are varied from 62.4 to 800 MeV with 10 4 to 10 8 protons per second impinging on the detector surface. For carbon ions, energies are varied from 120 to 400 MeV/amu with 10 7 to 10 8 carbon ions per second. Measurements include simultaneous high resolution, beam profile and beam intensity with various beam parameters at up to 1000 FPS (frames per second), count rate linearity and an assessment of radiation damage after the measurement day using a X-ray tube to provide a homogeneous radiation measurement. The count rate linearity is found to be linear within the uncertainties (dominated by accelerator related sources due to special setup) for the measurements without degraders. Various frequency components are identified within the beam intensity over time firstly including 49.98 Hz with standard deviation, 𝜎 = 0.29, secondly 30.55 Hz 𝜎 = 0.55 and thirdly 252.51 Hz 𝜎 = 0.83. A direct correlation between the number of zero counting and noisy pixels is observed in the measurements with the highest flux. No conclusive evidence of long term radiation damage was found as a result of these measurements over one day. K: Instrumentation for particle-beam therapy, Solid state detectors, Beam-line instrumentation (beam position and profile monitors; beam-intensity monitors; bunch length monitors), Hybrid detectors, Instrumentation for hadron therapy, Radiation damage to detector materials (solid state), Beam dynamics

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