@inproceedings{cc98bd4d90314260b3387072482d9157,
title = "High temporal resolution cardiac cone-beam CT using a slowly rotating C-arm gantry",
abstract = "Purpose: To achieve three dimensional isotropic dynamic cardiac CT imaging with high temporal resolution for evaluation of cardiac function with a slowly rotating C-arm system. Method and Materials: A recently introduced extension to compressed sensing, viz. Prior Image Constrained Compressed Sensing (PICCS), in which a prior image is used as a constraint in the reconstruction has enabled this application. An in-vivo animal experiment (e.g. a beagle model) was conducted using an interventional C-arm system. The imaging protocol was as follows: contrast was injected, the contrast equilibrated, breathing was suspended for ~14 seconds during which time 420 equally spaced projections were acquired. This data set was used to reconstruct a fully sampled blurred image volume using the conventional FDK algorithm (e.g. the prior image). Then the data set was retrospectively gated into 19 phases according to the recorded ECG signal (heart rate ~ 95bpm) and images were reconstructed with the PICCS algorithm.Results: Cardiac MR was used as the gold standard due to its high temporal resolution. The same short-axis slice was selected from the PICCS-CT data set and the MR data set. Manual contouring on the peak systolic and peak diastolic frames was performed to assess the ejection fraction contribution from this single plane. The calculated ejection fractions with PICCS-CT agreed well with the MR results. Conclusion: We have demonstrated the ability to use a slowly rotating interventional C-arm system in order to make measurements of cardiac function. The new technique provides high isotropic spatial resolution (~0.5 mm) along with high temporal resolution (~ 33 ms). The evaluation of cardiac function demonstrated a great agreement with single slice cardiac MR.",
keywords = "Cardiac CT, Compressed sensing, High temporal resolution",
author = "Chen, {Guang Hong} and Jie Tang and Brian Nett and Shuai Leng and Joseph Zambelli and Zhihua Qi and Nick Bevins and Scott Reeder and Howard Rowley",
year = "2009",
month = jun,
day = "15",
doi = "10.1117/12.813810",
language = "English (US)",
isbn = "9780819475091",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
booktitle = "Medical Imaging 2009",
note = "Medical Imaging 2009: Physics of Medical Imaging ; Conference date: 09-02-2009 Through 12-02-2009",
}