Quick search Find article
Quick search
Find article

Evaluation of the reproducibility of lung motion probability distribution function (PDF) using dynamic MRI

Jing Cai1, Paul W Read1, Talissa A Altes2,3, Janelle A Molloy1,4, James R Brookeman2 and Ke Sheng1

Show affiliations


Treatment planning based on probability distribution function (PDF) of patient geometries has been shown a potential off-line strategy to incorporate organ motion, but the application of such approach highly depends upon the reproducibility of the PDF. In this paper, we investigated the dependences of the PDF reproducibility on the imaging acquisition parameters, specifically the scan time and the frame rate. Three healthy subjects underwent a continuous 5 min magnetic resonance (MR) scan in the sagittal plane with a frame rate of approximately 10 f s−1, and the experiments were repeated with an interval of 2 to 3 weeks. A total of nine pulmonary vessels from different lung regions (upper, middle and lower) were tracked and the dependences of their displacement PDF reproducibility were evaluated as a function of scan time and frame rate. As results, the PDF reproducibility error decreased with prolonged scans and appeared to approach equilibrium state in subjects 2 and 3 within the 5 min scan. The PDF accuracy increased in the power function with the increase of frame rate; however, the PDF reproducibility showed less sensitivity to frame rate presumably due to the randomness of breathing which dominates the effects. As the key component of the PDF-based treatment planning, the reproducibility of the PDF affects the dosimetric accuracy substantially. This study provides a reference for acquiring MR-based PDF of structures in the lung.


PACS

87.61.-c Magnetic resonance imaging

02.50.Cw Probability theory

87.19.X- Diseases

87.19.U- Hemodynamics

87.55.-x Treatment strategy

Subjects

Computational physics

Biological physics

Medical physics

Dates

Issue 2 (21 January 2007)

Received 17 August 2006, in final form 23 October 2006

Published 21 December 2006



  1. Evaluation of the reproducibility of lung motion probability distribution function (PDF) using dynamic MRI

    Jing Cai et al 2007 Phys. Med. Biol. 52 365

  2. Photons in gapless colour–flavour-locked quark matter

    Mark Alford and Qinghai Wang 2005 J. Phys. G: Nucl. Part. Phys. 31 719

  3. Comparison between frequency standards in Europe and the USA at the 10−15 uncertainty level

    A Bauch et al 2006 Metrologia 43 109

  4. The thin-film equation: recent advances and some new perspectives

    Jürgen Becker and Günther Grün 2005 J. Phys.: Condens. Matter 17 S291

  5. An embedding technique for the solution of coupled Riccati equations

    P Enders and O Schmidtmann 1992 J. Phys. A: Math. Gen. 25 1981

  6. A generalized Lie derivative and homothetic or Killing vectors in the Geroch-Held-Penrose formalism

    Garry Ludwig and S Brian Edgar 2000 Class. Quantum Grav. 17 1683

  7. Charge transfer and target excitation in H+-Na(3s) collisions (2-20 keV)

    F Aumayr et al 1987 J. Phys. B: At. Mol. Phys. 20 2025

  8. A comment on the calculation of atomic energy levels in LS coupling using relativistic radial integrals

    K G Dyall 1985 J. Phys. B: At. Mol. Phys. 18 L175

  9. A differentiation formula for spherical Bessel functions

    J Boersma and M L Glasser 2005 J. Phys. A: Math. Gen. 38 1687

  10. Compactness of the space of causal curves

    Keye Martin 2006 Class. Quantum Grav. 23 1241

Related review articles

What's this?
View review articles related to this research to gain an insight into the key trends in this subject area. Related review articles are selected based on PACS/MSC codes, and are no more than three years old.

  1. Interaction of MRI field gradients with the human body
  2. Physics of magnetic resonance imaging: from spin to pixel

View by subject




Export








Please login to access our web services, or create an account if you don't yet have one.

You must have cookies enabled in your web browser to be able to login.

Username
Password

Forgotten your password? Get a new one here.