Cancer Imaging Phenomics Toolkit (CaPTk)  1.3.0

Overview | Pre-Processing | Interaction | Segmentation | Quantitative Imaging Feature Panel | Specialized Applications | Stand Alone CLIs

CaPTk has been designed as a modular platform, currently incorporating components for pre-processing, interaction, segmentation, feature extraction, and specialized diagnostic analysis. The components of pre-processing (i.e., smoothing, bias correction, co-registration, skull-stripping, normalization) and interaction (i.e., coordinate definition, region annotation, and spherical approximation of abnormalities) are available for all integrated applications giving a researcher (whether clinical or computational) a single point of entry and exit for all their tasks.

Currently, CaPTk supports visualization of CT, PET, X-Ray and MR images in both NIfTI (i.e., .nii, .nii.gz) and DICOM (i.e., .dcm) format. For MRI, the following modalities are currently supported:

  1. native T1-weighted
  2. post-contrast T1-weighted (T1-Gd, also known as T1c, and T1-CE)
  3. T2-weighted
  4. T2-weighted Fluid Attenuated Inversion Recovery (T2-FLAIR)
  5. Dynamic susceptibility contrast-enhanced (DSC)
  6. Diffusion Tensor Imaging (DTI) *
  7. Diffusion Weighted Imaging (DWI) *
  8. Digital Mammography **
    * this modality is currently visualized only via Confetti but individual derivatives via CaPTk ** this modality is currently visualized only via LIBRA

The visualization of images is based on the physical coordinate system of each image (i.e., the origin and direction information from within the image file is used for rendering). In practice, use of a consistent coordinate framework results in images with different origins to appear misaligned (shifted) when compared to other neuro-imaging software packages that do rendering based on the cartesian coordinate information in the image.

CaPTk has been optimized for monitors with 16:9 resolution, especially 1920x1080 at 100% scaling. More resolutions and scaling options are being actively tested and support will increase in subsequent releases.

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