A Comparison of lung motion measured using implanted electromagnetic transponders and motion algorithmically predicted using external surrogates as an alternative to respiratory correlated CT imaging

Kristen M. Lechleiter; Daniel A. Low; Amir Chaudhari; Wei Lu; James P. Hubenschmidt; Martin L. Mayse; Steven C. Dimmer; Jeffrey D. Bradley; Parag J. Parikh

doi:10.1117/12.710203

A Comparison of lung motion measured using implanted electromagnetic transponders and motion algorithmically predicted using external surrogates as an alternative to respiratory correlated CT imaging

Kristen M. Lechleiter, Daniel A. Low, Amir Chaudhari, Wei Lu, James P. Hubenschmidt, Martin L. Mayse, Steven C. Dimmer, Jeffrey D. Bradley, Parag J. Parikh

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Three-dimensional volumetric imaging correlated with respiration (4DCT) typically utilizes external breathing surrogates and phase-based models to determine lung tissue motion. However, 4DCT requires time consuming postprocessing and the relationship between external breathing surrogates and lung tissue motion is not clearly defined. This study compares algorithms using external respiratory motion surrogates as predictors of internal lung motion tracked in real-time by electromagnetic transponders (Calypso® Medical Technologies) implanted in a canine model. Simultaneous spirometry, bellows, and transponder positions measurements were acquired during free breathing and variable ventilation respiratory patterns. Functions of phase, amplitude, tidal volume, and airflow were examined by least-squares regression analysis to determine which algorithm provided the best estimate of internal motion. The cosine phase model performed the worst of all models analyzed (R² = 31.6%, free breathing, and R² = 14.9%, variable ventilation). All algorithms performed better during free breathing than during variable ventilation measurements. The 5D model of tidal volume and airflow predicted transponder location better than amplitude or either of the two phasebased models analyzed, with correlation coefficients of 66.1 % and 64.4% for free breathing and variable ventilation respectively. Real-time implanted transponder based measurements provide a direct method for determining lung tissue location. Current phase-based or amplitude-based respiratory motion algorithms cannot as accurately predict lung tissue motion in an irregularly breathing subject as a model including tidal volume and airflow. Further work is necessary to quantify the long term stability of prediction capabilities using amplitude and phase based algorithms for multiple lung tumor positions over time.

Original language	English
Title of host publication	Medical Imaging 2007
Subtitle of host publication	Physiology, Function, and Structure from Medical Images
Edition	PART 2
DOIs	https://doi.org/10.1117/12.710203
State	Published - Oct 15 2007
Event	Medical Imaging 2007: Physiology, Function, and Structure from Medical Images - San Diego, CA, United States Duration: Feb 18 2007 → Feb 20 2007

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Number	PART 2
Volume	6511
ISSN (Print)	1605-7422

Conference

Conference	Medical Imaging 2007: Physiology, Function, and Structure from Medical Images
Country/Territory	United States
City	San Diego, CA
Period	02/18/07 → 02/20/07

Keywords

Implanted transponders
Lung motion
Motion prediction
Real-time localization
Respiratory correlated CT
Respiratory motion

Access to Document

10.1117/12.710203

Cite this

Lechleiter, K. M., Low, D. A., Chaudhari, A., Lu, W., Hubenschmidt, J. P., Mayse, M. L., Dimmer, S. C., Bradley, J. D., & Parikh, P. J. (2007). A Comparison of lung motion measured using implanted electromagnetic transponders and motion algorithmically predicted using external surrogates as an alternative to respiratory correlated CT imaging. In Medical Imaging 2007: Physiology, Function, and Structure from Medical Images (PART 2 ed.). [65111P] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 6511, No. PART 2). https://doi.org/10.1117/12.710203

Lechleiter, Kristen M. ; Low, Daniel A. ; Chaudhari, Amir et al. / A Comparison of lung motion measured using implanted electromagnetic transponders and motion algorithmically predicted using external surrogates as an alternative to respiratory correlated CT imaging. Medical Imaging 2007: Physiology, Function, and Structure from Medical Images. PART 2. ed. 2007. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; PART 2).

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title = "A Comparison of lung motion measured using implanted electromagnetic transponders and motion algorithmically predicted using external surrogates as an alternative to respiratory correlated CT imaging",

abstract = "Three-dimensional volumetric imaging correlated with respiration (4DCT) typically utilizes external breathing surrogates and phase-based models to determine lung tissue motion. However, 4DCT requires time consuming postprocessing and the relationship between external breathing surrogates and lung tissue motion is not clearly defined. This study compares algorithms using external respiratory motion surrogates as predictors of internal lung motion tracked in real-time by electromagnetic transponders (Calypso{\textregistered} Medical Technologies) implanted in a canine model. Simultaneous spirometry, bellows, and transponder positions measurements were acquired during free breathing and variable ventilation respiratory patterns. Functions of phase, amplitude, tidal volume, and airflow were examined by least-squares regression analysis to determine which algorithm provided the best estimate of internal motion. The cosine phase model performed the worst of all models analyzed (R2 = 31.6%, free breathing, and R2 = 14.9%, variable ventilation). All algorithms performed better during free breathing than during variable ventilation measurements. The 5D model of tidal volume and airflow predicted transponder location better than amplitude or either of the two phasebased models analyzed, with correlation coefficients of 66.1 % and 64.4% for free breathing and variable ventilation respectively. Real-time implanted transponder based measurements provide a direct method for determining lung tissue location. Current phase-based or amplitude-based respiratory motion algorithms cannot as accurately predict lung tissue motion in an irregularly breathing subject as a model including tidal volume and airflow. Further work is necessary to quantify the long term stability of prediction capabilities using amplitude and phase based algorithms for multiple lung tumor positions over time.",

keywords = "Implanted transponders, Lung motion, Motion prediction, Real-time localization, Respiratory correlated CT, Respiratory motion",

author = "Lechleiter, {Kristen M.} and Low, {Daniel A.} and Amir Chaudhari and Wei Lu and Hubenschmidt, {James P.} and Mayse, {Martin L.} and Dimmer, {Steven C.} and Bradley, {Jeffrey D.} and Parikh, {Parag J.}",

year = "2007",

month = oct,

day = "15",

doi = "10.1117/12.710203",

language = "English",

isbn = "0819466298",

series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",

number = "PART 2",

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Lechleiter, KM, Low, DA, Chaudhari, A, Lu, W, Hubenschmidt, JP, Mayse, ML, Dimmer, SC, Bradley, JD & Parikh, PJ 2007, A Comparison of lung motion measured using implanted electromagnetic transponders and motion algorithmically predicted using external surrogates as an alternative to respiratory correlated CT imaging. in Medical Imaging 2007: Physiology, Function, and Structure from Medical Images. PART 2 edn, 65111P, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, no. PART 2, vol. 6511, Medical Imaging 2007: Physiology, Function, and Structure from Medical Images, San Diego, CA, United States, 02/18/07. https://doi.org/10.1117/12.710203

A Comparison of lung motion measured using implanted electromagnetic transponders and motion algorithmically predicted using external surrogates as an alternative to respiratory correlated CT imaging. / Lechleiter, Kristen M.; Low, Daniel A.; Chaudhari, Amir et al.

Medical Imaging 2007: Physiology, Function, and Structure from Medical Images. PART 2. ed. 2007. 65111P (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 6511, No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Low, Daniel A.

AU - Chaudhari, Amir

AU - Lu, Wei

AU - Hubenschmidt, James P.

AU - Mayse, Martin L.

AU - Dimmer, Steven C.

AU - Bradley, Jeffrey D.

AU - Parikh, Parag J.

PY - 2007/10/15

Y1 - 2007/10/15

N2 - Three-dimensional volumetric imaging correlated with respiration (4DCT) typically utilizes external breathing surrogates and phase-based models to determine lung tissue motion. However, 4DCT requires time consuming postprocessing and the relationship between external breathing surrogates and lung tissue motion is not clearly defined. This study compares algorithms using external respiratory motion surrogates as predictors of internal lung motion tracked in real-time by electromagnetic transponders (Calypso® Medical Technologies) implanted in a canine model. Simultaneous spirometry, bellows, and transponder positions measurements were acquired during free breathing and variable ventilation respiratory patterns. Functions of phase, amplitude, tidal volume, and airflow were examined by least-squares regression analysis to determine which algorithm provided the best estimate of internal motion. The cosine phase model performed the worst of all models analyzed (R2 = 31.6%, free breathing, and R2 = 14.9%, variable ventilation). All algorithms performed better during free breathing than during variable ventilation measurements. The 5D model of tidal volume and airflow predicted transponder location better than amplitude or either of the two phasebased models analyzed, with correlation coefficients of 66.1 % and 64.4% for free breathing and variable ventilation respectively. Real-time implanted transponder based measurements provide a direct method for determining lung tissue location. Current phase-based or amplitude-based respiratory motion algorithms cannot as accurately predict lung tissue motion in an irregularly breathing subject as a model including tidal volume and airflow. Further work is necessary to quantify the long term stability of prediction capabilities using amplitude and phase based algorithms for multiple lung tumor positions over time.

AB - Three-dimensional volumetric imaging correlated with respiration (4DCT) typically utilizes external breathing surrogates and phase-based models to determine lung tissue motion. However, 4DCT requires time consuming postprocessing and the relationship between external breathing surrogates and lung tissue motion is not clearly defined. This study compares algorithms using external respiratory motion surrogates as predictors of internal lung motion tracked in real-time by electromagnetic transponders (Calypso® Medical Technologies) implanted in a canine model. Simultaneous spirometry, bellows, and transponder positions measurements were acquired during free breathing and variable ventilation respiratory patterns. Functions of phase, amplitude, tidal volume, and airflow were examined by least-squares regression analysis to determine which algorithm provided the best estimate of internal motion. The cosine phase model performed the worst of all models analyzed (R2 = 31.6%, free breathing, and R2 = 14.9%, variable ventilation). All algorithms performed better during free breathing than during variable ventilation measurements. The 5D model of tidal volume and airflow predicted transponder location better than amplitude or either of the two phasebased models analyzed, with correlation coefficients of 66.1 % and 64.4% for free breathing and variable ventilation respectively. Real-time implanted transponder based measurements provide a direct method for determining lung tissue location. Current phase-based or amplitude-based respiratory motion algorithms cannot as accurately predict lung tissue motion in an irregularly breathing subject as a model including tidal volume and airflow. Further work is necessary to quantify the long term stability of prediction capabilities using amplitude and phase based algorithms for multiple lung tumor positions over time.

KW - Implanted transponders

KW - Lung motion

KW - Motion prediction

KW - Real-time localization

KW - Respiratory correlated CT

KW - Respiratory motion

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Lechleiter KM, Low DA, Chaudhari A, Lu W, Hubenschmidt JP, Mayse ML et al. A Comparison of lung motion measured using implanted electromagnetic transponders and motion algorithmically predicted using external surrogates as an alternative to respiratory correlated CT imaging. In Medical Imaging 2007: Physiology, Function, and Structure from Medical Images. PART 2 ed. 2007. 65111P. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; PART 2). doi: 10.1117/12.710203

A Comparison of lung motion measured using implanted electromagnetic transponders and motion algorithmically predicted using external surrogates as an alternative to respiratory correlated CT imaging

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Keywords

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