Derivation of the tumor position from external respiratory surrogates with periodical updating of the internal/external correlation

E. Kanoulas, J. A. Aslam, G. C. Sharp, R. I. Berbeco, S. Nishioka, H. Shirato, S. B. Jiang

Research output: Contribution to journalArticle

45 Citations (Scopus)

Abstract

In this work we develop techniques that can derive the tumor position from external respiratory surrogates (abdominal surface motion) through periodically updated internal/external correlation. A simple linear function is used to express the correlation between the tumor and surrogate motion. The function parameters are established during a patient setup session with the tumor and surrogate positions simultaneously measured at a 30 Hz rate. During treatment, the surrogate position, constantly acquired at 30 Hz, is used to derive the tumor position. Occasionally, a pair of radiographic images is acquired to enable the updating of the linear correlation function. Four update methods, two aggressive and two conservative, are investigated: (A1) shift line through the update point; (A2) re-fit line through the update point; (C1) re-fit line with extra weight to the update point; (C2) minimize the distances to the update point and previous line fit point. In the present study of eight lung cancer patients, tumor and external surrogate motion demonstrate a high degree of linear correlation which changes dynamically over time. It was found that occasionally updating the correlation function leads to more accurate predictions than using external surrogates alone. In the case of high imaging rates during treatment (greater than 2 Hz) the aggressive update methods (A1 and A2) are more accurate than the conservative ones (C1 and C2). The opposite is observed in the case of low imaging rates.

Original languageEnglish (US)
Article number023
Pages (from-to)5443-5456
Number of pages14
JournalPhysics in Medicine and Biology
Volume52
Issue number17
DOIs
StatePublished - Sep 7 2007

Fingerprint

Tumors
tumors
derivation
Neoplasms
varespladib methyl
Imaging techniques
lungs
Lung Neoplasms
cancer
Weights and Measures
shift
Therapeutics
predictions

ASJC Scopus subject areas

  • Biomedical Engineering
  • Physics and Astronomy (miscellaneous)
  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology

Cite this

Derivation of the tumor position from external respiratory surrogates with periodical updating of the internal/external correlation. / Kanoulas, E.; Aslam, J. A.; Sharp, G. C.; Berbeco, R. I.; Nishioka, S.; Shirato, H.; Jiang, S. B.

In: Physics in Medicine and Biology, Vol. 52, No. 17, 023, 07.09.2007, p. 5443-5456.

Research output: Contribution to journalArticle

Kanoulas, E. ; Aslam, J. A. ; Sharp, G. C. ; Berbeco, R. I. ; Nishioka, S. ; Shirato, H. ; Jiang, S. B. / Derivation of the tumor position from external respiratory surrogates with periodical updating of the internal/external correlation. In: Physics in Medicine and Biology. 2007 ; Vol. 52, No. 17. pp. 5443-5456.
@article{a6dcd7acd35a4eb1a4d5ed95924cd8a1,
title = "Derivation of the tumor position from external respiratory surrogates with periodical updating of the internal/external correlation",
abstract = "In this work we develop techniques that can derive the tumor position from external respiratory surrogates (abdominal surface motion) through periodically updated internal/external correlation. A simple linear function is used to express the correlation between the tumor and surrogate motion. The function parameters are established during a patient setup session with the tumor and surrogate positions simultaneously measured at a 30 Hz rate. During treatment, the surrogate position, constantly acquired at 30 Hz, is used to derive the tumor position. Occasionally, a pair of radiographic images is acquired to enable the updating of the linear correlation function. Four update methods, two aggressive and two conservative, are investigated: (A1) shift line through the update point; (A2) re-fit line through the update point; (C1) re-fit line with extra weight to the update point; (C2) minimize the distances to the update point and previous line fit point. In the present study of eight lung cancer patients, tumor and external surrogate motion demonstrate a high degree of linear correlation which changes dynamically over time. It was found that occasionally updating the correlation function leads to more accurate predictions than using external surrogates alone. In the case of high imaging rates during treatment (greater than 2 Hz) the aggressive update methods (A1 and A2) are more accurate than the conservative ones (C1 and C2). The opposite is observed in the case of low imaging rates.",
author = "E. Kanoulas and Aslam, {J. A.} and Sharp, {G. C.} and Berbeco, {R. I.} and S. Nishioka and H. Shirato and Jiang, {S. B.}",
year = "2007",
month = "9",
day = "7",
doi = "10.1088/0031-9155/52/17/023",
language = "English (US)",
volume = "52",
pages = "5443--5456",
journal = "Physics in Medicine and Biology",
issn = "0031-9155",
publisher = "IOP Publishing Ltd.",
number = "17",

}

TY - JOUR

T1 - Derivation of the tumor position from external respiratory surrogates with periodical updating of the internal/external correlation

AU - Kanoulas, E.

AU - Aslam, J. A.

AU - Sharp, G. C.

AU - Berbeco, R. I.

AU - Nishioka, S.

AU - Shirato, H.

AU - Jiang, S. B.

PY - 2007/9/7

Y1 - 2007/9/7

N2 - In this work we develop techniques that can derive the tumor position from external respiratory surrogates (abdominal surface motion) through periodically updated internal/external correlation. A simple linear function is used to express the correlation between the tumor and surrogate motion. The function parameters are established during a patient setup session with the tumor and surrogate positions simultaneously measured at a 30 Hz rate. During treatment, the surrogate position, constantly acquired at 30 Hz, is used to derive the tumor position. Occasionally, a pair of radiographic images is acquired to enable the updating of the linear correlation function. Four update methods, two aggressive and two conservative, are investigated: (A1) shift line through the update point; (A2) re-fit line through the update point; (C1) re-fit line with extra weight to the update point; (C2) minimize the distances to the update point and previous line fit point. In the present study of eight lung cancer patients, tumor and external surrogate motion demonstrate a high degree of linear correlation which changes dynamically over time. It was found that occasionally updating the correlation function leads to more accurate predictions than using external surrogates alone. In the case of high imaging rates during treatment (greater than 2 Hz) the aggressive update methods (A1 and A2) are more accurate than the conservative ones (C1 and C2). The opposite is observed in the case of low imaging rates.

AB - In this work we develop techniques that can derive the tumor position from external respiratory surrogates (abdominal surface motion) through periodically updated internal/external correlation. A simple linear function is used to express the correlation between the tumor and surrogate motion. The function parameters are established during a patient setup session with the tumor and surrogate positions simultaneously measured at a 30 Hz rate. During treatment, the surrogate position, constantly acquired at 30 Hz, is used to derive the tumor position. Occasionally, a pair of radiographic images is acquired to enable the updating of the linear correlation function. Four update methods, two aggressive and two conservative, are investigated: (A1) shift line through the update point; (A2) re-fit line through the update point; (C1) re-fit line with extra weight to the update point; (C2) minimize the distances to the update point and previous line fit point. In the present study of eight lung cancer patients, tumor and external surrogate motion demonstrate a high degree of linear correlation which changes dynamically over time. It was found that occasionally updating the correlation function leads to more accurate predictions than using external surrogates alone. In the case of high imaging rates during treatment (greater than 2 Hz) the aggressive update methods (A1 and A2) are more accurate than the conservative ones (C1 and C2). The opposite is observed in the case of low imaging rates.

UR - http://www.scopus.com/inward/record.url?scp=34548162911&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=34548162911&partnerID=8YFLogxK

U2 - 10.1088/0031-9155/52/17/023

DO - 10.1088/0031-9155/52/17/023

M3 - Article

C2 - 17762097

AN - SCOPUS:34548162911

VL - 52

SP - 5443

EP - 5456

JO - Physics in Medicine and Biology

JF - Physics in Medicine and Biology

SN - 0031-9155

IS - 17

M1 - 023

ER -