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SU‐D‐202‐06: Prospective Free‐Breathing CT Scan Selection for 5DCT
Author(s) -
O'Connell D,
Thomas D,
Dou T,
Yang L,
Lamb J,
Lewis J,
Ruan D,
Lee P,
Low D
Publication year - 2016
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.4955646
Subject(s) - breathing , percentile , nuclear medicine , standard deviation , artifact (error) , medicine , computer science , artificial intelligence , mathematics , statistics , anatomy
Purpose: 5DCT employs 25 fast helical scans and breathing surrogate monitoring to sample the respiratory cycle. Deformable image registration is used to fit a correspondence model between tissue motion and breathing amplitude and rate. The number of scans was chosen to ensure a high probability that tissues were imaged at sufficiently distinct breathing phases for accurate modeling of the entire breathing cycle. This work describes a method to prospectively select scan start times and reduce the protocol's number of scans from 25 to 6. Methods: Breathing traces from 7 patients imaged with 5DCT were used to simulate acquisition of 6 scans. Breathing phase was estimated using only observations from previous time points. Cross‐correlation between the representative breath and the most recent half period was continuously computed. If phase and cross‐correlation criteria were met, scans were triggered with a 2 second delay before acquisition. Blind acquisition, 6 scans separated by a fixed delay, was modeled at staggered start times. The spread of prospectively and blindly sampled breathing waveforms was characterized using a previously published objective function. Results: Prospectively selected scans ranked on average in the 84th percentile of objective function values obtained by blind acquisition at staggered start times for 7 patient breathing traces. Conclusion: A method to prospectively determine scan start times for 5DCT was developed and tested by simulating acquisition on patient breathing traces. The method is computationally inexpensive enough for real‐time implementation and would result in an imaging dose of less than one quarter of the current 5DCT protocol.

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