Meeting Banner
Abstract #1536

Automated Detection of the Optimal Arterial Phase in Dynamic 3D Contrast Enhanced Imaging of the Liver

Pascal Spincemaille1, Nanda Deepa Thimmappa1, Bo Xu1, Martin R. Prince1, Yi Wang1

1Radiology, Weill Cornell Medical College, New York, NY, United States

The need for optimal bolus timing in contrast enhanced imaging of the liver can be avoided by using a high temporal resolution acquisition. The selection of an optimal arterial phase requires a manual inspection of a large number of images. An algorithm is presented here that detects the optimal arterial phase in these sets of images, allowing immediate visualization of the relevant liver lesion enhancement information.

Keywords

acquisition acquisitions administered agents allow among aorta approximately arterial assumed audience automated automatically available axes bandwidth breath burden capturing caused central challenging chance characterization clinical clustering clusters coincide college computed consecutive consists continued contrast correlation crucial curve curves depending description detect detected detecting detection deviation diaphragmatic displacement distance divide dose doses dynamic efficiency elliptical ended enhanced enhancement especially evolution experienced falls feasibility frame frames guided gyration half heart hold implementation inclusion indicate inferior injected instructed intensity lava liver local location long manual martin mask masks mass matrix maximal median medical morphological optimal overall paralysis pascal patient patients peak pixel pixels portal post potential preliminary press prince proposed radiological radiology radius read reader reconstruction relevant remove removed resolution respectively retrospectively scanner scanning selected selecting selection selects series sets shorter significantly slice slices sliding software spiral steps straightforward subject substantial superior surrounding target technologist temporal text threshold took venous view volume whose window