Published April 6, 2011 | Version v1
Journal article

Validation of an elastic registration technique to estimate anatomical lung modification in Non-Small-Cell Lung Cancer Tomotherapy

  • 1. Dept. of Biomedical Engineering, Politecnico di Milano, Milan (Italy)
  • 2. Istituto di Bioimmagini e Fisiologia Molecolare (IBFM), CNR, via Fratelli Cervi 93 Segrate (Milan), 20090 (Italy)
  • 3. Dept. of Medical Physics, Scientific Institute San Raffaele, Milan (Italy)
  • 4. IRCCS Istituto Ortopedico Galeazzi, Milan (Italy)
  • 5. Dept. of Radiotherapy, Scientific Institute San Raffaele, Milan (Italy)
  • 6. Sciences Institute, National University of General Sarmiento, Buenos Aires (Argentina)
  • 7. Dept. of Nuclear Medicine, Scientific Institute San Raffaele, Milan (Italy)

Description

The study of lung parenchyma anatomical modification is useful to estimate dose discrepancies during the radiation treatment of Non-Small-Cell Lung Cancer (NSCLC) patients. We propose and validate a method, based on free-form deformation and mutual information, to elastically register planning kVCT with daily MVCT images, to estimate lung parenchyma modification during Tomotherapy. We analyzed 15 registrations between the planning kVCT and 3 MVCT images for each of the 5 NSCLC patients. Image registration accuracy was evaluated by visual inspection and, quantitatively, by Correlation Coefficients (CC) and Target Registration Errors (TRE). Finally, a lung volume correspondence analysis was performed to specifically evaluate registration accuracy in lungs. Results showed that elastic registration was always satisfactory, both qualitatively and quantitatively: TRE after elastic registration (average value of 3.6 mm) remained comparable and often smaller than voxel resolution. Lung volume variations were well estimated by elastic registration (average volume and centroid errors of 1.78% and 0.87 mm, respectively). Our results demonstrate that this method is able to estimate lung deformations in thorax MVCT, with an accuracy within 3.6 mm comparable or smaller than the voxel dimension of the kVCT and MVCT images. It could be used to estimate lung parenchyma dose variations in thoracic Tomotherapy

Availability note (English)

Available from http://dx.doi.org/10.1186/1748-717X-6-31; Available from http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3094364

Additional details

Publishing Information

Journal Title
Radiation Oncology (Online)
Journal Volume
6
Journal Page Range
p. 31
ISSN
1748-717X

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
47061673
Subject category
S62: RADIOLOGY AND NUCLEAR MEDICINE;
Descriptors DEI
ACCURACY; COMPUTERIZED TOMOGRAPHY; CT-GUIDED RADIOTHERAPY; IMAGES; LUNGS; MODIFICATIONS; NEOPLASMS; VALIDATION
Descriptors DEC
BODY; DIAGNOSTIC TECHNIQUES; DISEASES; MEDICINE; NUCLEAR MEDICINE; ORGANS; RADIOLOGY; RADIOTHERAPY; RESPIRATORY SYSTEM; TESTING; THERAPY; TOMOGRAPHY

Optional Information

Copyright
Copyright (c)2011 Faggiano et al
Notes
PMCID: PMC3094364; PUBLISHER-ID: 1748-717X-6-31; PMID: 21470411; OAI: oai:pubmedcentral.nih.gov:3094364; licensee BioMed Central Ltd.