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to numerically compute the optimal experimental design in the sense of the criterion Q defined by (4.247) with weights X 1 = 0.1299, XZ = 0.7071, A3 = 0.0636, and X4 = 0.0994 corresponding to (4.248) and under the restriction that only 10 measurement points z 2 0 may be used. Repeat the optimization from different , initial z. Check if the solution is a minimum of Q. Remarks: To keep the program suitable for other expectation models being linear combinations of nonlinearly parametric functions, derive the expressions for the gradient and HessianmatrixofQforthegeneralmodelg(z,; 8) = alh(z,;j31)+. . . + a ~ h ( z , PK) ; with respect to the z and use function subroutines for the computation of the re, quired derivatives of akh(zn; k ) with respect to z a h and &. Next specialize to P , the exponential model used in this example. To prevent the x from becoming negative, introduce a new variable r i = x, and use , the fact that aQ/ar, = 2rn8Q/az, and that d2Q/drn8rm = 26n,, a Q / a X , ~ T , T ~ ~ ~ Q / ~ X ~ ~ X ~ .



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Image registration rst de nes the reference (or primary) image set, and then transforms the secondary ( oating) image set to align, match, and coincide with the reference image set. In general, the higher spatial resolution image is used as the primary image (e.g., CT), and the lower resolution is used as the secondary image (e.g., PET). In the transformation, if only translation and rotation are required, it is called a rigid transformation. On the other hand, if a subvolume structure in one image set needs to be warped (or deformed) in order to match the other set, then it is called a nonrigid transformation. Rigid body transformation is much easier to perform compared to nonrigid transformation. There are, in general, four steps in image registration: 1. The reference image set is de ned to include the data format, resolutions, dimensions, slice thickness, scaling factors, and other image parameters; these image properties are normally in the DICOM image header (see 9). The secondary image set is then reformatted to match the reference image set. 2. Image registration is performed next between the reference image set and the reformatted secondary image set using global or local alignment, with rigid or nonrigid transformation. 3. Criteria are determined to evaluate the goodness of the image registration result. 4. Iterative methods can be used to optimize the registration result.

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The function modf(x) returns a tuple of the form (Frac,Int), where Int is the integral part of x, and Frac is the fractional part:

To drag and drop a component onto your page follow these steps: 1. In the Objects palette, choose the Site Extras tab, click the pop-up menu at the bottom-right corner of the Objects palette, and then select Components. Any components you ve already created for this site appear in this palette. You can identify the components by name by moving your mouse over each component. The component s name appears at the bottom-left corner of the palette. Additionally, each component should have a custom icon so that you can easily identify it. If the component doesn t have a custom icon, you can cajole GoLive into creating the icon by modifying and saving the component. See the Editing a Component section later in this chapter. 2. Drag the desired component from the Objects palette into place on your page, as shown in Figure 14-8. In Windows, it appears in place surrounded by a solid border. On a Mac, it appears in place surrounded by a wide dotted border, as shown in Figure 14-9. You can reposition a component at any time, the same way you move any other object around on a page.

New Feature You can now easily obtain the area of a hatch in the Properties palette. Select a hatch and open the Properties palette. Look for the Area item in the Geometry section. You can also recreate the boundary of any hatch as a polyline or region. Edit the hatch and choose Recreate Boundary in the Edit Hatch dialog box. You can use this feature to create a boundary for a hatch if you have deleted it.

Earlier this year, he was certified as an ePhilanthropy Master Trainer (ePMT) by the ePhilanthropy Foundation, speaking at many of their eTour stops Stephen was also contributing author to Fundraising on the Internet, the ePhilanthropy Foundation s Guide to Success Online and writes ongoing updates delivered via e-mail to buyers of the book He was also a featured speaker at this year s Catholic Charities USA national conference Stephen holds a bachelor s degree from Brown University in American Civilization, focusing on cultural trends and how they impact society You can e-mail Stephen at slove@vervoscom Shelby Reardon is the senior project director with Craver, Mathews, Smith & Company s Interactive division, where she works with organizations to increase their online fundraising opportunities and enhance the organization s Web presence.

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