Today there are multiple imaging modalities capable of capturing volumetric patient image data. Once image data are captured, advanced hardware stations and software packages can be applied to image data sets. This results in unique anatomical renderings that enhance the interpretation of this data. This technology improves communications between the interpreting radiologist and referring physician and between the referring physician and patients.
The consistency and accuracy of 3-D multiplanar reformations depend on the quality of the captured volumetric data set combined with the skillful use of 3-D workstations to apply postprocessing techniques for data manipulation. Education and skill development for these highly specialized tasks are not often included in entry-level radiologic science programs.
This educational framework provides program planners with a detailed listing of the knowledge and skills required of individuals who perform 3-D and other postprocessing reformations of diagnostic patient image data. This document is divided into specific content areas. Each content area presents the essential components of an educational framework designed to prepare technologists to perform the tasks associated with 3-D image postprocessing. In constructing this framework, we made every attempt to remain vendor neutral.
Each educational program should organize the content and objectives to meet its own mission, goals and needs. Faculty members are encouraged to expand and broaden these fundamental objectives as they incorporate them into their curricula. Program faculty should decide whether to combine topics in a single course or divide the information from one content area into separate courses. Specific instructional methods were intentionally omitted to allow for programmatic prerogative as well as creativity in instructional delivery.