Preprocessing Tool

The Preprocessing Tool lets you specify a unique pre-processing protocol and execute it in one step. There are many preprocessing operations included in the Preprocessing tool that may be added to the protocol.

Getting There

The Preprocessing Tool is available via Tools -> Pre-processing.

Function

The Preprocessing Tool is divided into three sections. The first section is the Preprocessing Options section, which includes the preprocessing operations that may be included in the protocol

CT Bed Removal Automatically detects the bed position within the image and removes the CT voxels which constitute the animal bed. (Only supports Minerve beds).
Co-register Performs automatic image co-registration of all inputs to the Reference. If 'Fast' or 'Full 3D' are not checked, then 'Standard' and 'Translation' are used respectively.
Autocrop Performs automatic cropping. Search for boundaries starts at the end slices of the image and moves towards the center of the image until a non-background voxel is detected from all 6 faces.
Calibration Factor Apply a scalar multipication to NM data (PET/SPECT). Please pay attention to the formatting of the input cell. Note: Calibration factors per modality [comma separated] in format - "Mod=1.0 Unit". Example: PT=13456.7 BQML. The case of the unit should match what is listed in the 'Information window'.
Resample Up/Downsamples voxels to the specified pixel dimensions.
NM/PT Convert unit Convert supported units to/from uptake and/or concentration units. If converting to/from SUV, please provide Weight and Injected Dose information (note: units must be specified, defaults are [g] and [kBq] respectively).
Series Description Appends text to end of series description for all datasets.
Quality Control Image Generates and stores quality control image of preprocessed image. Results stored in the project webdisk of the repository specified below.
Store Data Save image data being preprocessed to specified iPACS repository below.
Format Specifies formats in which the data will be saved. The numbers 0, 1, and 2 correspond to multi-frame (MF module), multi-frame (MF function groups), and single frames (one Z slice per file) formats, respectively. For multiple data sets, formats are separated by a comma, as seen in image above. The current formats of the loaded data sets will be displayed in this section upon opening the tool as well as in the Information section.

The second section is Storage Options, where users may designate the iPACS repository and Project folder where preprocessed datasets will be saved (note: Store data must be checked).

Repository Specify the repository. Repositories can be configured in the 'DICOM' tab of 'Configuration' window. Consult the DICOM settings page in the help guide for more information.
Project Specify the sub-project (iPACS) or sub-folder (local path) to which data will be saved.
Protocol Copy and paste preprocessing protocol settings to be used at a later time. Modifications can be made directly within the 'Protocol' window.
Store Store Image data to the specified location.

The final section is the Information section, which features information about the current state of datasets loaded in VQ. Included in this information is the image dimensions and voxel size for the datasets as a whole, as well as basic header metadata about each dataset specifically.

To execute the pre-processing protocol, click OK.