Cuestionario vinculado a una guía · duro Nivel

Cuestionario sobre formatos de datos de imágenes médicas y DICOM

Distinga los conjuntos de datos DICOM de los volúmenes NIfTI y razone sobre la geometría de la imagen, la interpretación, la conversión, la privacidad y la evaluación de los píxeles.

Rutas de guía relacionadasFormato de imágenes médicas Dicom
Pregunta 1 de 8

Which description best captures DICOM's role in imaging workflows?

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  1. Which description best captures DICOM's role in imaging workflows?
    • A codec defining only how pixel arrays are compressed
    • A volume-array format that excludes acquisition context
    • A standard for storing and exchanging images with related attributes
    • A file extension that automatically certifies de-identification
  2. Why should CT slices not be assembled solely by sorting filenames?
    • The alphabetic filename order defines patient coordinates in all cases
    • Spatial metadata determines their positions and orientation
    • Every directory contains exactly one correctly ordered series
    • Instance storage order always matches the patient's spatial axis
  3. What does a NIfTI affine transform relate?
    • A study identifier to a series identifier
    • A compressed stream to its decoded byte count
    • Stored intensity values to their rescaled units
    • Voxel indices to spatial coordinates
  4. Why can a DICOM-to-NIfTI conversion require more than copying pixels?
    • Geometry, scaling, timing and other context may change or be omitted
    • Copying pixel bytes guarantees identical physical orientation
    • The destination format necessarily preserves every source attribute
    • Conversion automatically removes all private information
  5. Which attributes may be needed to interpret stored CT pixel values?
    • Only the number of files in the series
    • Only the order in which instances were downloaded
    • Modality-specific rescale parameters
    • Only the output image's chosen display window
  6. What privacy check may still be needed after removing structured identifiers?
    • Assume that removing name fields guarantees anonymity
    • Check for identifiers burned into image pixels
    • Assume a successful format conversion proves privacy
    • Remove spatial transforms instead of inspecting identifiers
  7. Why split imaging data by patient for many model evaluations?
    • To ensure each patient's anatomy appears in both training and test
    • To give every slice identical pixel dimensions
    • To avoid recording the patient's study grouping
    • To keep slices from one patient from leaking across partitions
  8. What should a team verify after format conversion?
    • Dimensions, spacing, orientation and intensity interpretation
    • Only the output extension and file count
    • Only whether the converted image looks recognizable in one viewer
    • Only whether the compressed output has the expected size