Abstract
One of the most significant breakthroughs in cardiac CT imaging was being able to acquire isotropic resolution datasets with sufficient temporal resolution to take “snapshots” of this dynamic, ever-moving organ. Isotropic three-dimensional (3D) datasets acquired with either prospective triggering or retrospective gating, and further complicated by the dimension of time within the cardiac cycle, effectively yielding four-dimensional (4D) datasets, allow for a variety of post-processing techniques useful for advanced visualization of cardiovascular anatomy and pathology. Some of these techniques are fancy, colorful, and eye-pleasing or just serve as an aid to student or patient education, but others have become a crucial part of our clinical routine when evaluating cardiac CT images and discussing findings with non-radiology physicians.
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© 2019 Humana Press
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Albrecht, M.H., Eid, M., Suranyi, P.S. (2019). Cardiac CT: Contemporary Clinical Image Data Display, Analysis, and Quantification. In: Schoepf, U. (eds) CT of the Heart. Contemporary Medical Imaging. Humana, Totowa, NJ. https://doi.org/10.1007/978-1-60327-237-7_13
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DOI: https://doi.org/10.1007/978-1-60327-237-7_13
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