Motion modeling from 4D MR images of liver simulating phantom

Henna Kavaluus, Lauri Koivula, Eero Salli, Tiina Seppälä, Kauko Saarilahti, Mikko Tenhunen

Research output: Contribution to journalArticleScientificpeer-review

Abstract

Background and purpose A novel method of retrospective liver modeling was developed based on four-dimensional magnetic resonance (4D-MR) images. The 4D-MR images will be utilized in generation of the subject-specific deformable liver model to be used in radiotherapy planning (RTP). The purpose of this study was to test and validate the developed 4D-magnetic resonance imaging (MRI) method with extensive phantom tests. We also aimed to build a motion model with image registration methods from liver simulating phantom images. Materials and methods A deformable phantom was constructed by combining deformable tissue-equivalent material and a programmable 4D CIRS-platform. The phantom was imaged in 1.5 T MRI scanner with T2-weighted 4D SSFSE and T1-weighted Ax dual-echo Dixon SPGR sequences, and in computed tomography (CT). In addition, geometric distortion of the 4D sequence was measured with a GRADE phantom. The motion model was developed; the phases of the 4D-MRI were used as surrogate data, and displacement vector fields (DVF's) were used as a motion measurement. The motion model and the developed 4D-MRI method were evaluated and validated with extensive tests. Result The 4D-MRI method enabled an accuracy of 2 mm using our deformable phantom compared to the 4D-CT. Results showed a mean accuracy of

Original languageEnglish
Article number13611
JournalJournal of applied clinical medical physics
Volume23
Issue number7
Number of pages11
ISSN1526-9914
DOIs
Publication statusPublished - Jul 2022
MoE publication typeA1 Journal article-refereed

Fields of Science

  • deformable image registration
  • liver 4D-MRI
  • motion model
  • SBRT
  • RADIATION-THERAPY
  • DEFORMATION
  • 3126 Surgery, anesthesiology, intensive care, radiology

Cite this