Published July 1, 2005 | Version v1
Journal article

Quantification of regional ventilation from treatment planning CT

  • 1. Division of Radiation Oncology, University of Texas M.D. Anderson Cancer Center, Houston, TX (United States) and Department of Computational and Applied Mathematics, Rice University, Houston, TX (United States)
  • 2. Division of Radiation Oncology, University of Texas M.D. Anderson Cancer Center, Houston, TX (United States)
  • 3. Department of Statistics, Rice University, Houston, TX (United States)
  • 4. Department of Computational and Applied Mathematics, Rice University, Houston, TX (United States)

Description

Purpose: We describe a method of quantifying regional ventilation from the radiotherapy treatment planning computed tomography (CT) images, with the goal of developing functional images for treatment planning and optimization. Methods and Materials: A series of exhalation breath-hold (eBH-CT) and inhalation breath-hold (iBH-CT) CT images obtained using a feedback-guided breath-hold technique for radiotherapy treatment planning was selected. The eBH-CT was mapped on a voxel-by-voxel basis to the iBH-CT using a deformable image registration algorithm. By using the average CT number over a 3 mm3 region surrounding each pair of mapped voxels, the change in fraction of air per voxel (i.e., regional ventilation) was calculated. This methodology was applied to a series of 22 patients. The calculated total ventilation was compared to the change in contoured lung volumes between the exhalation and inhalation CTs (measured tidal volume). Results: A significant correlation was found between the calculated and measured tidal volumes for the left (R 0.982) and right (R = 0.985), and for both lungs combined (R = 0.985). In the resulting images, the regional ventilation was highly variable and corresponded with the spatial distribution of differences in the CT values (Hounsfield units) between the eBH-CT and the iBH-CT images. Conclusions: A method of quantifying regional ventilation from radiotherapy treatment planning CT data sets was demonstrated. The ventilation images can be used in plan optimization to minimize injury to functioning lung

Additional details

Identifiers

DOI
10.1016/j.ijrobp.2005.03.023;
PII
S0360-3016(05)00441-4;

Publishing Information

Journal Title
International Journal of Radiation Oncology, Biology and Physics
Journal Volume
62
Journal Issue
3
Journal Page Range
p. 630-634
ISSN
0360-3016
CODEN
IOBPD3

INIS

Country of Publication
United States
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
37014558
Subject category
S62: RADIOLOGY AND NUCLEAR MEDICINE;
Descriptors DEI
ALGORITHMS; COMPUTERIZED TOMOGRAPHY; EXHALATION; IMAGES; INHALATION; INJURIES; LUNGS; OPTIMIZATION; RADIOTHERAPY; SPATIAL DISTRIBUTION; VENTILATION
Descriptors DEC
BODY; CLEARANCE; DIAGNOSTIC TECHNIQUES; DISEASES; DISTRIBUTION; EXCRETION; INTAKE; MATHEMATICAL LOGIC; MEDICINE; NUCLEAR MEDICINE; ORGANS; RADIOLOGY; RESPIRATORY SYSTEM; THERAPY; TOMOGRAPHY

Optional Information

Copyright
Copyright (c) 2005 Elsevier Science B.V., Amsterdam, Netherlands, All rights reserved.