1. A system for media and commerce management comprising:
a user interface;
a customer overview module accessible through the user interface and configured to allow a user to manage customers;
a search module accessible through the user interface and configured to allow the user to search for one or more of orders, customers, contacts, activities, leads campaigns, and opportunities;
an activities module accessible through the user interface and configured to allow the user to manage tasks;
an opportunities module accessible through the user interface and configured to allow the user to track potential opportunities for sales;
a campaign module accessible through the user interface and configured to allow the user to create and manage plans to generate sales; and
a leads module accessible through the user interface and configured to allow the user to manage potential customers.
The claims below are in addition to those above.
All refrences to claims which appear below refer to the numbering after this setence.
1. A method for generating a tomographic temperature map in a patient using a CT device, the method comprising:
sampling and tomographically reconstructing attenuation values of tissue based on at least two mutually different X-ray energies or X-ray energy spectra relative to at least two sets of energy-dependent image data to generate tomographic image data;
performing a rhoZ decomposition of the tomographic image data, and ascertaining a current local density and a current local mean Z value for each location;
ascertaining a local temperature distribution in the tissue, current local temperature values being determined from previously experimentally determined or calculated relations between Z values, density and temperature; and
at least one of outputting and visualizing a spatial temperature distribution based on the ascertaining.
2. The method as claimed in claim 1, wherein for a plurality of Z values, density and temperature curves or density and temperature tables are used in order to ascertain the temperature.
3. The method as claimed in claim 1, wherein mean Z values are used in which the composition of the currently investigated tissue is taken into account.
4. The method as claimed in claim 1, further comprising:
determining how the Z values change during heating, and
density-temperature relations assigned to a Z0 value initially determined under physiological conditions are used for ascertaining the temperature.
5. The method as claimed in claim 1, wherein sectional image data sets are used as tomographic image data.
6. The method as claimed in claim 1, wherein volume image data sets are used as tomographic image data.
7. The method as claimed in claim 1, wherein the sets of tomographic image data acquired in multiple iterations of the method are registered on top of one another.
8. The method as claimed in claim 1, wherein the determined temperature map is overlaid with tomographic image data registered thereon.
9. A computing unit including a non-transitory computer readable storage medium in which computer programs or program modules are stored, the computing unit being configured to perform, during operation, at least the following:
sampling and tomographically reconstructing attenuation values of tissue based on at least two mutually different X-ray energies or X-ray energy spectra relative to at least two sets of energy-dependent image data to generate tomographic image data;
performing a rhoZ decomposition of the tomographic image data, and ascertaining a current local density and a current local mean Z value for each location;
ascertaining a local temperature distribution in the tissue, current local temperature values being determined from previously experimentally determined or theoretically calculated relations between Z values, density and temperature; and
at least one of outputting and visualizing a spatial temperature distribution based on the ascertaining.
10. A CT system including a computing unit as claimed in claim 9.
11. A non-transitory computer readable medium including program segments for, when executed on a computer device, causing the computer device to implement the method of claim 1.
12. The method as claimed in claim 2, wherein mean Z values are used in which the composition of the currently investigated tissue is taken into account.
13. The method as claimed in claim 2, further comprising:
determining how the Z values change during heating, and
density-temperature relations assigned to a Z0 value initially determined under physiological conditions are used for ascertaining the temperature.
14. The method as claimed in claim 2, wherein sectional image data sets are used as tomographic image data.
15. The method as claimed in claim 2, wherein volume image data sets are used as tomographic image data.
16. The method as claimed in claim 2, wherein the sets of tomographic image data acquired in multiple iterations of the method are registered on top of one another.
17. The method as claimed in claim 2, wherein the determined temperature map is overlaid with tomographic image data registered thereon.