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sql server - CDC is enabled, but cdc. dbo lt;table-name gt;_CT table is not . . . However, even though the table_name table is being populated, I never see anything in the CT table I have other tables that have CDC enabled for them in the same database which are being updated, and CDC is capturing data for them and storing it in the CT table created for that specific table
pynetdicom C_GET failing with No presentation context for CT Image . . . C-GET query status: 0xfe00 I: Releasing Association So the log shows that the CT Image Storage Context was accepted, but with SCP SCU Role: Default, whatever that means When I debug through the pynetdicom processing I see that there is a CT context, but only for the SCP role ConQuest shows it's sent the DICOM file and then got disconnected
The project was not built due to Failed to init ct. sym for C:\Program . . . Not sure if you've solve the problem or not but I just wanted to help since I was having the same problem just now In eclipse go to Window In Window go to Preference In Preference, in the search bar type "Installed JREs" Edit the jre to the file directory in which your JDK is installed i e C:\Program Files\Java\jdk-14 0 2 after that you can close and refresh and it should build fine
How convert CT Dicom Files to HU (positive values)? To convert from the normal units found in CT data (a typical data set ranges from 0 to 4000 or so) you have to apply a linear transformation of the data The equation is: hu = pixel_value * slope + intercept About More Converting CT Data to Hounsfield Units
ct_results () and ct_cmd_drop () error with Sybase::CTlib After the loop terminates, an application can use a switch-type statement against ct_fetch’s final return code to find out what caused the termination If a result set contains zero rows, an application’s first ct_fetch call will return CS_END_DATA Note: An application must call ct_fetch in a loop even if a result set contains only a
numpy - Interpolation CT scan in python - Stack Overflow I have a CT scan with a shape of (350, 512, 512) and a voxel size of (2, 1 13, 1 13) I would like to do an interpolation to get a new voxel size of (1,1,1) by using zoom from scipy Here is the co