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Exploring breathing pattern irregularity with projection‐based method
Author(s) -
Ruan Dan,
Fessler Jeffrey A.,
Balter James M.,
Sonke JanJakob
Publication year - 2006
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 - 10.1118/1.2207253
Subject(s) - signal (programming language) , breathing , computer science , mean squared error , projection (relational algebra) , radiation treatment planning , residual , algorithm , mathematics , artificial intelligence , statistics , radiation therapy , medicine , anatomy , programming language
Accurate descriptions of organ motion due to breathing are highly desirable for radiation treatment planning. This paper proposes an index that quantifies the irregularity of a signal related to respiratory motion. The method works by finding the periodic band‐limited signal that best fits the signal samples, and then computing the root mean squared (RMS) residual error. The fitted signal itself may be useful for treatment planning. Using clinical data describing amplitude‐time relationships (RPM, Varian) from twelve patients, we correlated the proposed index against relevant metrics from various treatment planning schemes. Simulation results demonstrate a reasonable match with all treatment methods considered, suggesting that the proposed irregularity index is suitable for a variety of treatment methods. Compared to the modified cosine function, which was investigated previously for breathing pattern models, the proposed approach is more representative, flexible, and computationally efficient.