CT vs. tomosynthesis
The most advanced tomographic imaging modality is CT, which acquires data over a 360 degree rotation around the patient. However, this brings with it design and operational complexities, higher personnel costs and the need for specialized expertise, as well as long scan times.
By contrast, unlike CT, DTS relies on a limited range of angular movement across the patient—often 40 degrees or less. This involves less time and intricacies than CT but limits Z-direction data and isotropic special resolution. However, x-y plane information is often superior to CT and the resulting image is far superior to X-ray.

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When CT is not readily available or appropriate, most physicians continue to rely on conventional X-ray. In fact, X-ray is the most commonly used imaging modality overall, accounting for as much as 60% of total imaging volume. However, as DTS evolves and becomes increasingly cost-effective and accessible to medical practices, for a growing number of physicians, it may emerge as a preferable alternative to X-ray, filling the imaging gap. With an MSaaS delivery model, streamlined outsourced interpretation and continued maturation of the modality itself, use is likely to grow.
Interest and use cases expand
A number of well-known medical equipment vendors and innovative smaller firms are focusing renewed efforts on DTS and enhancing its performance. During the 1990s, the introduction of flat-panel digital detectors gave DTS a significant boost in acquisition speed, while reducing image noise and distortion. Today, devices and imaging techniques also are being developed to enhance image quality and support a growing number of clinical applications.
For example, detector-tube geometry of motion has become more varied. In some cases, the two components remain in parallel planes, maintaining fixed positions relative to one another as they move in an arc. Alternately, in other devices, the detector remains stationary as the tube arcs over the patient. Each method has benefits in specific applications.
In addition, reconstruction and depth resolution algorithms are being constantly refined. All reconstruction algorithms compensate for potential anatomic distortion as the arc rotation of objects projected onto the detector plane. Acquisition parameters, including tube movement, angle and number of images, are now being optimized for various clinical uses.
Additionally, because DTS datasets are digital, both computer aided diagnosis (CAD) and artificial intelligence (AI) can play a role in exam interpretation. With the development of appropriate algorithms, CAD and AI can speed interpretation and potentially enhance results.