Dependence of subject-specific parameters for a fast helical CT respiratory motion model on breathing rate: an animal study

التفاصيل البيبلوغرافية
العنوان: Dependence of subject-specific parameters for a fast helical CT respiratory motion model on breathing rate: an animal study
المؤلفون: Melissa Saylor, Dylan O'Connell, James Lamb, Tai Dou, David Thomas, John H. Lewis, Jered Sieren, Eric A. Hoffman, Daniel A. Low, Christian Hofmann, Percy Lee
المصدر: Physics in medicine and biology. 63(4)
سنة النشر: 2018
مصطلحات موضوعية: Percentile, Radiological and Ultrasound Technology, Respiratory rate, Mean squared error, Swine, Image processing, Displacement (vector), 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Amplitude, Respiratory Rate, 030220 oncology & carcinogenesis, Breathing, Errors-in-variables models, Animals, Radiology, Nuclear Medicine and imaging, Organ Motion, Algorithm, Lung, Tomography, Spiral Computed, Mathematics
الوصف: To determine if the parameters relating lung tissue displacement to a breathing surrogate signal in a previously published respiratory motion model vary with the rate of breathing during image acquisition. An anesthetized pig was imaged using multiple fast helical scans to sample the breathing cycle with simultaneous surrogate monitoring. Three datasets were collected while the animal was mechanically ventilated with different respiratory rates: 12 bpm (breaths per minute), 17 bpm, and 24 bpm. Three sets of motion model parameters describing the correspondences between surrogate signals and tissue displacements were determined. The model error was calculated individually for each dataset, as well asfor pairs of parameters and surrogate signals from different experiments. The values of one model parameter, a vector field denoted [Formula: see text] which related tissue displacement to surrogate amplitude, determined for each experiment were compared. The mean model error of the three datasets was 1.00 ± 0.36 mm with a 95th percentile value of 1.69 mm. The mean error computed from all combinations of parameters and surrogate signals from different datasets was 1.14 ± 0.42 mm with a 95th percentile of 1.95 mm. The mean difference in [Formula: see text] over all pairs of experiments was 4.7% ± 5.4%, and the 95th percentile was 16.8%. The mean angle between pairs of [Formula: see text] was 5.0 ± 4.0 degrees, with a 95th percentile of 13.2 mm. The motion model parameters were largely unaffected by changes in the breathing rate during image acquisition. The mean error associated with mismatched sets of parameters and surrogate signals was 0.14 mm greater than the error achieved when using parameters and surrogate signals acquired with the same breathing rate, while maximum respiratory motion was 23.23 mm on average.
تدمد: 1361-6560
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3098ab6c9aef099ab125afca97439fb7
https://pubmed.ncbi.nlm.nih.gov/29360098
حقوق: CLOSED
رقم الأكسشن: edsair.doi.dedup.....3098ab6c9aef099ab125afca97439fb7
قاعدة البيانات: OpenAIRE