Paper
16 March 2011 An approach of long-view tomosynthesis in peripheral arterial angiographic examinations
Daisuke Notohara, Kazuyoshi Nishino, Koichi Shibata
Author Affiliations +
Abstract
Tomosynthesis (TS) has been evaluated as a useful diagnostic imaging tool for the orthopedic market and lung cancer screening. Previously, we proposed Long-View Tomosynthesis (LVTS) to apply further clinical application by expanding the reconstructed region of TS. LVTS method consists of three steps. First, it acquires multiple images while X-ray tube and Flat Panel Detector (FPD) are moving in the same linear direction simultaneously at a constant speed. Second, each image is divided into fixed length strips, and then the strips from different images having similar X-ray beam trajectory angles are stitched together. Last, multi slice coronal images are reconstructed by utilizing the Filtered Back Projection (FBP) technique from the long stitched images. The present LVTS method requires the acquisition by the constant speed motion to stitch each strip precisely. It is necessary to improve the LVTS method to apply peripheral angiographic examinations that are usually acquired at arbitrary variable speeds to chase the contrast media in the blood vessel. We propose adding the method of detecting the moved distance of frames along with anatomical structure and the method of selecting pixel values with contrast media to stitching algorithm. As a result, LVTS can extract new clinical information like 3-D structure of superficial femoral arteries and the entire blood vessel from images already acquired by routine bolus chasing techniques.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daisuke Notohara, Kazuyoshi Nishino, and Koichi Shibata "An approach of long-view tomosynthesis in peripheral arterial angiographic examinations", Proc. SPIE 7961, Medical Imaging 2011: Physics of Medical Imaging, 79615M (16 March 2011); https://doi.org/10.1117/12.877922
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KEYWORDS
Angiography

X-ray imaging

X-rays

Blood vessels

Sensors

Arteries

Reconstruction algorithms

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