What is claimed is:
1. An adhesive tape comprising a composite backing based on an oriented, coextruded, at least two-layer polypropylene film whose one side is provided with an adhesive composition and whose film layers have a low release force with respect to one another.
2. The adhesive tape as claimed in claim 1, wherein the thicknesses of the backing are from 15 to 120 m, preferably from 20 to 50 m.
3. The adhesive tape as claimed in claim 1, wherein the edges of the polypropylene film have a serrated cut.
4. The adhesive tape as claimed in claim 1, wherein the polypropylene film has been corona treated or flame treated in order to improve the adhesion of the adhesive composition to the polypropylene film.
5. The adhesive tape as claimed in claim 1, wherein a primer layer has been applied between the polypropylene film and the adhesive layer.
6. The adhesive tape as claimed in claim 1, wherein the side of the polypropylene film opposite the adhesive composition bears a coating, especially a release coating.
7. The adhesive tape as claimed in claim 1, wherein the application rate of the release coating is from 0.1 to 3 gm2, preferably from 0.2 to 1.5 gm2.
8. The adhesive tape as claimed in claim 1, wherein the adhesive composition is a solventborne adhesive composition based on styrene-isoprene-styrene copolymers.
9. The adhesive tape as claimed in claim 1, wherein the application rate of the adhesive composition is from 15 to 60 gm2, preferably from 20 to 30 gm2.
10. The use of an adhesive tape for detecting unauthorized broaching of a package, by virtue of the fact that on removal from the surface of a package the adhesive tape is irreversibly destroyed and clearly indicates an attempted broaching by tearing or splitting in the thickness direction.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. (canceled)
2. A method of data acquisition at a magnetic resonance imaging (MRI) system comprising:
receiving at least a portion of raw data for an image;
detecting anomalies in the portion of raw data; and
performing a correction of the anomalies, wherein performing the correction involves performing a partial scan to obtain replacements for the anomalous data.
3. The method of claim 2 wherein performing the correction involves replacing the anomalies with one or more expected values.
4. The method of claim 2 wherein the one or more expected values are determined on the basis of at least one of averaging, interpolation or conjugate symmetry.
5. The method of claim 2 wherein the raw data is data corresponding to the k-space for the image.
6. The method of claim 5 wherein the received portion of raw data is at least one line of data along the frequency axis of the k-space.
7. The method of claim 2 wherein the partial scan is performed at one of:
prior to receiving any additional raw data,
after all of the raw data for the image is received, or
after all of the raw data for additional images to be scanned is received.
8. The method of claim 2 wherein detecting anomalies further comprises:
comparing the portion of raw data received to a mask.
9. The method of claim 8 wherein the mask includes an upper boundary and the detection is based on whether one or more values of the portion of raw data received exceed corresponding upper boundary values.
10. The method of claim 8 wherein the mask includes a lower boundary and the detection is based on whether one or more values of the portion of raw data received are below corresponding lower boundary values.
11. The method of claim 8 wherein the mask is determined at least in part based on apriori information including at least one of: type of object being scanned, type of the MRI system, expected distribution of raw data values or raw data obtained from phantom scans.
12. The method of claim 8 wherein mask values are expected values for the partial data varied by a pre-determined percentage.
13. The method of claim 2 wherein detecting anomalies further comprises comparing values for each cell of the portion of raw data to an expected value for that cell.
14. The method of claim 13 wherein the expected value is based on values of each cell’s neighbors.
15. The method of claim 14 wherein expected value is determined on the basis of at least one of averaging, interpolation or conjugate symmetry.
16. The method of claim 2 wherein detecting anomalies further includes comparing a signal to noise ratio of at least a portion of raw data received to a predetermined signal to noise ratio for a phantom.
17. The method of claim 2 wherein detecting anomalies and performing a partial scan is performed at one of:
prior to receiving any additional raw data,
after all of the raw data for the image is received, or
after all of the raw data for additional images to be scanned is received.
18. The method of claim 2 wherein the portion of raw data for an image is obtained by one of a low resolution scan or a pre-scan.
19. A magnetic resonance imaging (MRI) system comprising a data processing system, a main filed magnet, gradient coils and radio frequency coils, the MRI system configured to perform a method according to claim 2.
20. A non-transient computer program product comprising computer executable instructions for performing a method according to claim 2.