A new digital tomosynthesis method with less artifacts for angiography

Haaker, P.; Klotz, E.; Koppe, R.; Linde, R.; Møller, Holger Jon

doi:10.1118/1.595705

Cited by 31 publications

(17 citation statements)

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“…The goodness of the distortion correction can be tested on the reconstruction images. The reconstruction is very sensitive towards geometric errors, because for correlation in all perspective images a pixelwise accuracy is needed [1]. Results from a simple object are shown in Fig.…”

Section: Resultsmentioning

confidence: 98%

“…Especially for tomographic methods, using projection images for the reconstruction of slices, a correction of geometric distortions is absolutely necessary to guarantee correlation. We developed a tomosynthesis method [1,2], based on a pixelwise comparison of corresponding pixels in several projections. Therefore all geometric distortions has been corrected with pixet accuracy.…”

Section: Introductionmentioning

confidence: 99%

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Real-time distortion correction of digital X-ray II/TV-systems: an application example for Digital Flashing Tomosynthesis (DFTS)

et al. 1990

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In X-ray image intensifier (II)/TV-camera systems geometric distortions occur, e.g. due to the curved input screen of the II. For methods which are based on a pixelwise comparison of images, e.g. digital angio-tomosynthesis, an accurate correction of these geometric distortions is absolutely necessary. For the application of tomosynthesis to coronary angiography the correction in addition has to be done in real-time, because the reconstruction of the three dimensional structure of the blood vessels has to be done while the patient is undergoing catheterization. This paper describes a digital correction unit which allows a large variety of geometric distortions to be corrected. It consists of an input memory for storing the distorted image, an output memory for storing the corrected image and a special address memory which will serve as an address table during the correction step. For each element of the output image the location of the corresponding element of the distorted input image is determined in a preprocessing step and stored in the address memory. The actual correction of an image is then done while the image is copied from the input into the output memory. In this way 512 x 512 images can be corrected in real-time by a 32-bit 680X0-based microprocessor system. Presented as Poster at the 3rd International Symposium CAR '89 Computer Assisted Radiology, Berlin, June 25-28, 1989.

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Section: Resultsmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Real-time distortion correction of digital X-ray II/TV-systems: an application example for Digital Flashing Tomosynthesis (DFTS)

et al. 1990

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show abstract

“…A non-linear reconstruction method, called extreme-value decoding, was proposed for task-specific applications, for example in angiography, when only the projection with the largest or smallest value is used (Haaker 1985a, Haaker 1985b, Stiel 1993.…”

Section: Evolution Of Reconstruction Algorithmsmentioning

confidence: 99%

“…The first algorithm is the extreme-value decoding, where only projection data with minimum or maximum value are used for the reconstruction (Haaker 1985a, Haaker 1985b, Stiel 1993. The second algorithm is the voting strategy for statistical reconstruction in breast tomosynthesis when projections with too high value are detected, segmented and completely rejected .…”

Section: Weighting Schemementioning

confidence: 99%