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.
Recently, Tomosynthesis (TS) has been evaluated as a useful diagnostic imaging examination for the breast, the lung and
orthopedics. However the size of the reconstructed region is limited by the mechanical acquisition motion of the X-ray
tube and image detector so it is not possible to generate long view images for the spinal columns or the lower limbs
examinations. Long-View Tomosynthesis (LVTS) method uses a different acquisition motion and post processing
algorithm but results in a similar high resolution image slice free of anatomy above and below slice of interest. This
method consists of three steps. First, acquire multi images while X-ray tube and Flat Panel Detector (FPD) are moving
continuously in same linear direction. Then each image is divided into strips and strips from different images having
similar X-ray beam trajectory are stitched together. Then multi slice coronal images are reconstructed from the long
stitched images using filtered backprojection technique (FBP) which is similar to reconstruction algorithms used with
Computed Tomography (CT) and TS. As a result, LVTS has 1.6 cycle/mm spatial resolution and 432[mm] × 800[mm]
image size at a maximum. We conclude that LVTS improves depiction of long view tomograms, which can not be
acquired by TS. Like TS, LVTS can produce images for weight bearing or partial weight bearing anatomy that is not
possible with CT since LVTS has been integrated onto a tilting table.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.