On the incorporation of multi-modality image registration into the radiotherapy treatment planning process

Hazim A. Jaradat, Wolfgang A. Tomé, Todd R. McNutt, M. Elizabeth Meyerand

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

A technique is presented that allows the direct use of physiological image sets in the radiation therapy treatment planning process. When fused to the treatment planning CT, physiological image studies may allow one to define physiological tumor subvolumes consisting of areas of possible chronic hypoxia, areas of high perfusion, areas of high diffusion, and areas containing high choline concentrations. These physiological tumor subvolumes could be selectively boosted to increase local control of malignant brain tumors once one has determined which of these physiological tumor subvolumes predicts for local tumor recurrence after conventional radiotherapy. In this technique a user assisted automatic registration technique is used that is based on an analytical estimate for the transformation matrix needed to register two rigid bodies. The only user input needed is three non-collinear points selected based on landmarks in the primary image and the corresponding three points in the secondary image. Since this registration technique uses two sets of at least three user-defined landmark points each of which has some selection error associated with it, the final registration will have an error that depends only on the selection error associated with the point sets. Since physiological image studies are acquired at the same setting as the T1-w MRI their spatial orientation with respect to the T1-w MRI is known. Therefore, the registration of multiple physiological image studies to the treatment planning CT can be accomplished by first correlating them to the T1-w MRI, and in a second step the T1-w MRI is then registered to the treatment planning CT. The desired registration of the physiological image studies to the treatment planning CT is then accomplished by simply composing the appropriate transformation matrices.

Original languageEnglish (US)
Pages (from-to)1-11
Number of pages11
JournalTechnology in Cancer Research and Treatment
Volume2
Issue number1
DOIs
StatePublished - Feb 2003
Externally publishedYes

Keywords

  • Auto Image registration
  • Chemical shift imaging
  • Diffusion imaging
  • IMRT
  • Perfusion imaging
  • Physiological imaging
  • Selective boosting

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

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