Immediate Centering and Tomographic Cut Localization by Means of Roentgen Television

Frimann-Dahl, J.; Hb, Kühl

doi:10.1177/028418517001000310

Cited by 4 publications

(1 citation statement)

References 2 publications

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“…A different means for shortening the tomosynthesis acquisition time had been developed somewhat earlier, in the late 1960s, using a video camera coupled to an image intensifier screen, and a television display (Edholm and Quiding 1969, Frimann-Dahl and Kuhl 1970, Lasser et al 1971. It was not long before researchers recognized that discrete projections, acquired using commercially available fluoroscopic devices, could be easily stored in individual video channels to allow for post-acquisition electronic tomosynthesis reconstruction (Baily et al 1973, Baily and Kampp 1981.…”

Section: Acquisition Technologiesmentioning

confidence: 99%

Digital x-ray tomosynthesis: current state of the art and clinical potential

2003

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Digital x-ray tomosynthesis is a technique for producing slice images using conventional x-ray systems. It is a refinement of conventional geometric tomography, which has been known since the 1930s. In conventional geometric tomography, the x-ray tube and image receptor move in synchrony on opposite sides of the patient to produce a plane of structures in sharp focus at the plane containing the fulcrum of the motion; all other structures above and below the fulcrum plane are blurred and thus less visible in the resulting image. Tomosynthesis improves upon conventional geometric tomography in that it allows an arbitrary number of in-focus planes to be generated retrospectively from a sequence of projection radiographs that are acquired during a single motion of the x-ray tube. By shifting and adding these projection radiographs, specific planes may be reconstructed. This topical review describes the various reconstruction algorithms used to produce tomosynthesis images, as well as approaches used to minimize the residual blur from out-of-plane structures. Historical background and mathematical details are given for the various approaches described. Approaches for optimizing the tomosynthesis image are given. Applications of tomosynthesis to various clinical tasks, including angiography, chest imaging, mammography, dental imaging and orthopaedic imaging, are also described.

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