tomographywith
Tomographywith is a term used to describe a family of imaging approaches that augment tomographic reconstruction by incorporating external information, constraints, or data from other modalities during the reconstruction process. It refers to a class of methods rather than a single technique, with the aim of improving image quality, reducing artefacts, or enriching the tomographic result with additional context.
Tomographywith relies on incorporating priors, cross-modality data, or learned models into the reconstruction algorithm. Common implementations
In medical imaging, tomographywith can enable lower radiation doses by compensating for limited-angle or sparse data,
Tomographywith can enhance image fidelity, enable practical scanning under dose or time constraints, and provide richer