Technical Note: Investigating internal–external motion correlation using fast helical CT. Issue 4 (11th March 2021)

• Record Type: Journal Article
• Authors: Lauria, Michael; Navaratna, Ruvini; O'Connell, Dylan; Santhanam, Anand; Lee, Percy; Low, Daniel A.
• Is Part Of: Medical physics. Volume 48:Issue 4(2021)
• Page Start: 1823
• Page End: 1831
• Publication Date: 2021-03-11
• Subjects: breathing motion modeling -- breathing surrogate -- internal motion -- surface motion; Medical physics -- Periodicals; Medical physics; Geneeskunde; Natuurkunde; Toepassingen; Biophysics; Periodicals; Periodicals; Electronic journals; 610.153
• DOI: 10.1002/mp.14759
• Languages: English
• ISSNs: 0094-2405

Abstract

Abstract : Purpose: To quantify the use of anterior torso skin surface position measurement as a breathing surrogate. Methods: Fourteen patients were scanned 25 times in alternating directions using a free‐breathing low‐mA fast helical CT protocol. Simultaneously, an abdominal pneumatic bellows was used as a real‐time breathing surrogate. The imaged diaphragm dome position was used as a gold standard surrogate, characterized by localizing the most superior points of the diaphragm dome in each lung. These positions were correlated against the bellows signal acquired at the corresponding scan times. The bellows system has been shown to have a slow linear drift, and the bellows‐to‐CT synchronization process had a small uncertainty, so the drift and time offset were determined by maximizing the correlation coefficient between the craniocaudal diaphragm position and the drift‐corrected bellows signal. The corresponding fit was used to model the real‐time diaphragm position. To estimate the effectiveness of skin surface positions as surrogates, the anterior torso surface position was measured from the CT scans and correlated against the diaphragm position model. The residual error was defined as the root‐mean‐square correlation residual with the breathing amplitude normalized to the 5 th to 95 th breathing amplitude percentiles. The fit residual errors were analyzed over the surface for the fourteen studied patients and reported as percentages of the 5 th to 95 th percentile ranges. Results: A strong correlation was measured between the diaphragm motion and the abdominal bellows signal with an average residual error of 9.21% and standard deviation of 3.77%. In contrast, the correlations between the diaphragm position model and patient surface positions varied throughout the torso and from patient to patient. However, a consistently high correlation was found near the abdomen for each patient, and the average minimum residual error relating the skin surface to the diaphragm was 11.8% with a standard deviation of 4.61%. Conclusions: The thoracic patient surface was found to be an accurate surrogate, but the accuracy varied across the surface sufficiently that care would need to be taken to use the surface as an accurate and reliable surrogate. Future studies will use surface imaging to determine surface patch algorithms that utilize the entire chest as well as thoracic and abdominal breathing relationships.