 |
Journal articles
Data-driven respiratory gating for ventilation/perfusion lung scan
Abstract : BACKGROUND: Ventilation/perfusion lung scan is subject to blur due to respiratory motion whether with planar acquisition or single photon emission computed tomography (SPECT). We propose a data- driven gating method for extracting different respiratory phases from lung scan list-mode or dynamic data.
METHODS: The algorithm derives a surrogate respiratory signal from an automatically detected diaphragmatic region of interest. The time activity curve generated is then filtered using a Savitzky-Golay filter. We tested this method on an oscillating phantom in order to evaluate motion blur decrease and on one lung SPECT.
RESULTS: Our algorithm reduced motion blur on phantom acquisition: mean full width at half maximum 8.1 pixels on non-gated acquisition versus 5.3 pixels on gated acquisition and 4.1 pixels on reference image. Automated detection of the diaphragmatic region and time-activity curves generation were successful on patient acquisition.
CONCLUSIONS: This algorithm is compatible with a clinical use considering its runtime. Further studies will be needed in order to validate this method.
Cited literature [13 references]
https://hal.univ-reims.fr/hal-01766863
Contributor : Nicolas Passat <>
Submitted on : Tuesday, June 26, 2018 - 3:05:19 PM
Last modification on : Thursday, June 11, 2020 - 3:21:50 AM
Long-term archiving on: : Wednesday, September 26, 2018 - 10:30:44 PM
Contributor : Nicolas Passat <>
Submitted on : Tuesday, June 26, 2018 - 3:05:19 PM
Last modification on : Thursday, June 11, 2020 - 3:21:50 AM
Long-term archiving on: : Wednesday, September 26, 2018 - 10:30:44 PM
File
Morland QJNMMI 2018.pdf
Files produced by the author(s)