Your browser doesn't support javascript.
loading
A Method for Assessing Ground-Truth Accuracy of the 5DCT Technique.
Dou, Tai H; Thomas, David H; O'Connell, Dylan P; Lamb, James M; Lee, Percy; Low, Daniel A.
Afiliação
  • Dou TH; Department of Radiation Oncology, University of California, Los Angeles, Los Angeles, California. Electronic address: tdou@mednet.ucla.edu.
  • Thomas DH; Department of Radiation Oncology, University of California, Los Angeles, Los Angeles, California.
  • O'Connell DP; Department of Radiation Oncology, University of California, Los Angeles, Los Angeles, California.
  • Lamb JM; Department of Radiation Oncology, University of California, Los Angeles, Los Angeles, California.
  • Lee P; Department of Radiation Oncology, University of California, Los Angeles, Los Angeles, California.
  • Low DA; Department of Radiation Oncology, University of California, Los Angeles, Los Angeles, California.
Int J Radiat Oncol Biol Phys ; 93(4): 925-33, 2015 Nov 15.
Article em En | MEDLINE | ID: mdl-26530763
ABSTRACT

PURPOSE:

To develop a technique that assesses the accuracy of the breathing phase-specific volume image generation process by patient-specific breathing motion model using the original free-breathing computed tomographic (CT) scans as ground truths.

METHODS:

Sixteen lung cancer patients underwent a previously published protocol in which 25 free-breathing fast helical CT scans were acquired with a simultaneous breathing surrogate. A patient-specific motion model was constructed based on the tissue displacements determined by a state-of-the-art deformable image registration. The first image was arbitrarily selected as the reference image. The motion model was used, along with the free-breathing phase information of the original 25 image datasets, to generate a set of deformation vector fields that mapped the reference image to the 24 nonreference images. The high-pitch helically acquired original scans served as ground truths because they captured the instantaneous tissue positions during free breathing. Image similarity between the simulated and the original scans was assessed using deformable registration that evaluated the pointwise discordance throughout the lungs.

RESULTS:

Qualitative comparisons using image overlays showed excellent agreement between the simulated images and the original images. Even large 2-cm diaphragm displacements were very well modeled, as was sliding motion across the lung-chest wall boundary. The mean error across the patient cohort was 1.15 ± 0.37 mm, and the mean 95th percentile error was 2.47 ± 0.78 mm.

CONCLUSION:

The proposed ground truth-based technique provided voxel-by-voxel accuracy analysis that could identify organ-specific or tumor-specific motion modeling errors for treatment planning. Despite a large variety of breathing patterns and lung deformations during the free-breathing scanning session, the 5-dimensionl CT technique was able to accurately reproduce the original helical CT scans, suggesting its applicability to a wide range of patients.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Respiração / Planejamento da Radioterapia Assistida por Computador / Tomografia Computadorizada Espiral / Tomografia Computadorizada Quadridimensional / Neoplasias Pulmonares / Movimento Tipo de estudo: Guideline / Prognostic_studies / Qualitative_research Limite: Humans Idioma: En Ano de publicação: 2015 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Respiração / Planejamento da Radioterapia Assistida por Computador / Tomografia Computadorizada Espiral / Tomografia Computadorizada Quadridimensional / Neoplasias Pulmonares / Movimento Tipo de estudo: Guideline / Prognostic_studies / Qualitative_research Limite: Humans Idioma: En Ano de publicação: 2015 Tipo de documento: Article