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ALGORITHM K-Shortest-Path Input: Nodelist (list of nodes representing tracks available and allowed for this route) SourceNode DestinationNode SignNodes (list of nodes where direction change is allowed) K (number of alternative routings that have to be found) Step 1: Initialize Set initial Arc Weights : IF (track i and track j are connected) AND (inner product track i and track j is negative) THEN ArcWeight[i,j] := distance between track i and track j, ELSE ArcWeight[i,j] := Step 2: Calculate K shortest paths from SourceNode to DestinationNode Repeat For k := N Downto 1 DO //first a backward pass For j := N Downto k+1 DO Step 2A: IF ArcWeight[j,k]< //j and k are connected THEN i := Predecessor(j) IF ArcWeight[i,k]< //i and k are also connected THEN IF j SignNodes THEN DistJKinPath := ArcWeight[j,k] ELSE DistJKinPath := //direction change not allowed on j ELSE DistJKinPath := ArcWeight[j,k] //no direction changes in path i j k ELSE DistJKinPath := //no direct arc between j and k DistanceToNode[k] := GenMin( GenAdd( DistanceToNode[j], DistJKinPath), DistanceToNode[k]); //DistanceToNode[k] is a K-dimensional array //GenMin contains the K smallest elements of the 2 K-dimensional input arrays //GenAdd contains the K smallest elements of the K2 summations of the elements of the 2 K-dimensional input arrays //end step 2A For k := 1 TO N DO //next a forward pass For j := 1 TO k-1 DO Step 2A; Until FOR ALL k NO CHANGE IN DistanceToNode[k] //algorithm is O(K N3) Output: DistanceToDestinationNode := DistanceToNode[DestinationNode] END //Algorithm K-Shortest-Path

New detector. The ceramic detector has replaced the traditional crystal detector. The ceramic detector has the advantages of more light photons in the output, less afterglow time, and higher resistance to radiation and mechanical damage; it can also be shaped much thinner (1/2) for equivalent amount of X-ray absorption, compared with crystal scintillators. Real-time dose modulation. The dose delivered to the patient is minimized by the cone beam geometry in modulating the mAs (milliampere-seconds) of the X-rays beam during the scan. High-speed data output channel. For example, with a 256-slice CT scanner much more data have to be collected during a single examination. Fast I/O data channels from the detector system to image reconstruction are necessary. Cone-beam geometry image reconstruction algorithm. This enables ef cient collection and recombination of cone-beam X-ray projections (raw data) for sectional reconstruction (see Section 4.2).

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2.3.1 Worst-Case Traffic Model and CAC Deterministic rule-based traffic descriptors offer many advantages over statistical descriptors for specifying and monitoring traffic in ATMrB-ISDN w58x. The UPC descriptor, also called the dual-leaky-bucket-based descriptor, is a popular rule-based traffic descriptor. The CAC for rule-based sources raises the following issues: 1. characterization of the worst-case traffic compliant with the traffic descriptor and hence allowed by the UPC to enter the network.; 2. characterization of the combinations of sources that can be supported without violating the QoS requirements, assuming that each source submits its worst-case traffic to the network compliant with the traffic descriptor .. In an integrated network, it would be nice to characterize the uniformly worst-case behavior in the general heterogeneous environment. Consider the departure process from the dual leaky buckets with the UPC parameters p , . s , Bs . This process can be modeled as an extremal, periodic on off process with on and off periods given by Bs

After the pages are assigned to their frames you can clearly see your page and complete its setup. As with the previous frames setup, this is also done in the Frames layout tab of your page window. And of course, the Frameset Inspector and Frame Inspector are there to help. It s easiest to tweak your page while you can see what the page looks like. As explained in the previous section, you can see a frame s contents within the Frame Layout view by selecting a frame, and then clicking the Preview Frame button in the Frame Inspector.

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Using menus, dialog boxes, toolbars, and palettes in the Windows interface Working with Dynamic Input and the command line Repeating and canceling commands Undoing and redoing commands Executing a command within another command Executing two commands concurrently Using the Help system

15.8.3.1 Image Display Work ow Real-time teleconsultation relies on the synchronization of the local (referring site) and remote (expert site) WSs. In a clinical PACS environment, images are rst acquired by the acquisition computer, sent to the PACS server through a DICOM gateway, and then delivered to different WSs according to some routing schedules. After images arrive at the WS, they are rst stored in the local database, accessed by the user through the graphical user interface (GUI), and displayed on the monitors. Most often the image display procedure is a collection of sequential operations, or a pipeline process as shown in Figure 15.12, including loading image data from disk storage to computer memory, processing the data, and rendering the data on the screens. In an event-driven window environment, the user s manipulations of the GUI windows or displayed images by using the input devices (mouse or keyboard) are translated into events. The procedure to display images can be described as a ow of image data through the pipeline that is controlled by these events.

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