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Use of Volumetric 3-D Automated Fullbreast US (AFBUS) and Dedicated Breast MRI for De ning Extent of Breast Cancer 5.3.2 Multimodality 2-D and 3-D Imaging in Radiation Therapy (RT) 5.3.2.1 Radiation Therapy Work ow 5.3.2.2 2-D and 3-D RT Image Registration 5.3.3 Fusion of 3-D MRI and 3-D CT Images for RT Application 5.4 Fusion of High-Dimensional Medical Imaging 5.4.1 Software versus Hardware Multimodality Image Fusion 5.4.2 Combined PET-CT Scanner for Hardware Image Fusion 5.4.3 Some Examples of PET-CT Hardware Image Fusion 5.4.4 Multimodality 3-D Micro Scanners Software Image Fusion 6. Image Compression 6.1 6.2 6.3 Terminology Background Error-Free Compression 6.3.1 Background Removal 6.3.2 Run-Length Coding 6.3.3 Huffman Coding Two-Dimensional Irreversible (Lossy) Image Compression 6.4.1 Background 6.4.2 Block Compression Technique 6.4.2.1 Two-dimensional Forward Discrete Cosine Transform 6.4.2.2 Bit Allocation Table and Quantization 6.4.2.3 DCT Coding and Entropy Coding 6.4.2.4 Decoding and Inverse Transform 6.4.3 Full-frame Compression Measurement of the Difference between the Original and the Reconstructed Image 6.5.1 Quantitative Parameters 6.5.1.1 Normalized Mean-Square Error 6.5.1.2 Peak Signal-to-Noise Ratio 6.5.2 Qualitative Measurement: Difference Image and Its Histogram 6.5.3 Acceptable Compression Ratio 6.5.4 Receiver Operating Characteristic Analysis Three-Dimensional Image Compression 6.6.1 Background 6.6.2 Basic Wavelet Theory and Multiresolution Analysis 6.6.3 One-, Two-, and Three-dimensional Wavelet Transform 6.6.3.1 One-dimensional (1-D) Wavelet Transform

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In 5, the criterion for stability or oscillation has been given for linear circuits In fact, linear electronic circuit always include nonlinear elements, nonlinearly biased by a large DC source in a suitable operating region and linearised around the static bias point A basic assumption for linear dynamic operations is that the alternate signals superimposed to the static bias be small enough for the dynamic operating point to keep within a region around the static bias point where linearisation holds If this is the case, the nonlinear element (the active device) can be replaced by a linearised equivalent, for example, a small-signal equivalent circuit Since the bias point is static, or time-invariant, the linearised representation is time-invariant as well and is studied by means of the usual techniques for linear circuits.

S 22

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You probably don t want the screen saver kicking in after your computer has only been idle for a minute or two, so set the Wait value to a more appropriate value such as 10 or 15 minutes. After a password protected screen saver kicks in, the computer is locked if you re using the classic Windows logon screen. When the mouse is moved or a key is pressed, the current user is prompted for their password, as shown in the following figure. At this point, only the current user can log back on to their desktop. For cases where a user forgets to log off and another person needs to use the computer, a computer administrator can unlock the system. This isn t a concern if you re using the Welcome screen, which will be displayed when the system is resumed. From here, the existing user (or another user, if Fast User Switching is enabled) can log on as they normally would, no administrative intervention required.

Table 9.1 Metabolic:

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In the case of oscillators, the stability properties of a small alternate signal perturbing the steady state are studied in order to suppress or allow the onset of oscillations Nonlinear circuits or elements operating under large-signal regime can be considered as driven by time-variant large sources that include both the static bias sources and the large alternate signal source such that the operating point is dynamically driven through regions wherein the behaviour of the active element cannot be linearised In other words, the alternate signal superimposed to the static bias point is so large that the dynamic load curve of the active device extends to regions where the device behaves nonlinearly.

x (A) (B)

Therefore, the alternate signal cannot be seen as a small, linear perturbation of a static bias point; rather, the sum of the bias source and alternate signal must be considered simultaneously as a single large source nonlinearly driving the active device This is the steady-state regime whose stability we want to investigate by studying the properties of a small perturbation to this steady state Linearisation around the dynamic operating point is still possible but yields a time-variant linearised representation; therefore, small perturbations of the nonlinear regime is expected to have a different behaviour from perturbations in a linear(ised) time-invariant circuit The case of a small alternate signal superimposed to a large steady-state periodic signal has already been described in Section 14 and applied in the 7, where the small signal includes the input signal and all the frequency-converted signals.

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