dicube.dicom.dicom_status

dicom.dicom_status

Classes

Name	Description
DicomStatus	Enumeration of possible DICOM series status conditions.

DicomStatus

dicom.dicom_status.DicomStatus()

Enumeration of possible DICOM series status conditions.

Each status represents a specific condition or issue that may be present in a DICOM series. The conditions are grouped into categories: - Series UID Issues - Instance Number Issues - Spacing Issues - Shape Issues - Orientation Issues - Data Type Issues - Location Issues - Consistency Status

Functions

Name	Description
calculate_average_z_gap	Calculate the average gap between Z-axis locations.
get_dicom_status	Check DICOM metadata and return the corresponding status.

calculate_average_z_gap

dicom.dicom_status.calculate_average_z_gap(z_locations)

Calculate the average gap between Z-axis locations.

Uses a robust method to estimate the typical Z-axis interval: 1. If a single interval appears in >80% of cases, use that value 2. Otherwise, use the larger absolute value between median and mean

Args: z_locations: Sorted array of Z-axis locations

Returns: float: Estimated typical Z-axis interval; 0 if cannot be calculated

get_dicom_status

dicom.dicom_status.get_dicom_status(meta)

Check DICOM metadata and return the corresponding status.

Performs a series of checks on the DICOM metadata to determine its status. Checks include: - Series UID consistency - Instance number sequence - Pixel spacing uniformity - Image dimensions - Patient orientation - Data type consistency - Z-axis location sequence

Args: meta: DicomMeta instance providing access to DICOM metadata

Returns: DicomStatus: The status enum value representing the check results