Flat-panel cone-beam computed tomography for image-guided radiation therapy

David A. Jaffray, Jeff Siewerdsen, John Wong, Alvaro A. Martinez

Research output: Contribution to journalArticle

Abstract

Purpose: Geometric uncertainties in the process of radiation planning and delivery constrain dose escalation and induce normal tissue complications. An imaging system has been developed to generate high-resolution, soft-tissue images of the patient at the time of treatment for the purpose of guiding therapy and reducing such uncertainties. The performance of the imaging system is evaluated and the application to image-guided radiation therapy is discussed. Methods and Materials: A kilovoltage imaging system capable of radiography, fluoroscopy, and cone-beam computed tomography (CT) has been integrated with a medical linear accelerator. Kilovoltage X-rays are generated by a conventional X-ray tube mounted on a retractable arm at 90° to the treatment source. A 41 × 41 cm2 flat-panel X-ray detector is mounted opposite the kV tube. The entire imaging system operates under computer control, with a single application providing calibration, image acquisition, processing, and cone-beam CT reconstruction. Cone-beam CT imaging involves acquiring multiple kV radiographs as the gantry rotates through 360° of rotation. A filtered back-projection algorithm is employed to reconstruct the volumetric images. Geometric nonidealities in the rotation of the gantry system are measured and corrected during reconstruction. Qualitative evaluation of imaging performance is performed using an anthropomorphic head phantom and a coronal contrast phantom. The influence of geometric nonidealities is examined. Results: Images of the head phantom were acquired and illustrate the submillimeter spatial resolution that is achieved with the cone-beam approach. High-resolution sagittal and coronal views demonstrate nearly isotropic spatial resolution. Flex corrections on the order of 0.2 cm were required to compensate gravity-induced flex in the support arms of the source and detector, as well as slight axial movements of the entire gantry structure. Images reconstructed without flex correction suffered from loss of detail, misregistration, and streak artifacts. Reconstructions of the contrast phantom demonstrate the soft-tissue imaging capability of the system. A contrast of 47 Hounsfield units was easily detected in a 0.1-cm-thick reconstruction for an imaging exposure of 1.2 R (in-air, in absence of phantom). The comparison with a conventional CT scan of the phantom further demonstrates the spatial resolution advantages of the cone-beam CT approach. Conclusions: A kV cone-beam CT imaging system based on a large-area, flat-panel detector has been successfully adapted to a medical linear accelerator. The system is capable of producing images of soft tissue with excellent spatial resolution at acceptable imaging doses. Integration of this technology with the medical accelerator will result in an ideal platform for high-precision, image-guided radiation therapy.

Original languageEnglish (US)
Pages (from-to)1337-1349
Number of pages13
JournalInternational Journal of Radiation Oncology, Biology, Physics
Volume53
Issue number5
DOIs
StatePublished - Aug 1 2002
Externally publishedYes

Fingerprint

Image-Guided Radiotherapy
Cone-Beam Computed Tomography
radiation therapy
cones
tomography
Particle Accelerators
gantry cranes
X-Rays
spatial resolution
Uncertainty
Arm
Head
linear accelerators
Fluoroscopy
Gravitation
detectors
Radiography
Artifacts
Calibration
tubes

Keywords

  • Cone-beam computed tomography
  • Flat-panel detectors
  • Image guidance
  • Linear accelerator
  • Radiotherapy

ASJC Scopus subject areas

  • Oncology
  • Radiology Nuclear Medicine and imaging
  • Radiation

Cite this

Flat-panel cone-beam computed tomography for image-guided radiation therapy. / Jaffray, David A.; Siewerdsen, Jeff; Wong, John; Martinez, Alvaro A.

In: International Journal of Radiation Oncology, Biology, Physics, Vol. 53, No. 5, 01.08.2002, p. 1337-1349.

Research output: Contribution to journalArticle

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