Deformable registration of PET/CT and ultrasound for disease-targeted focal prostate brachytherapy

Sharmin Sultana, Daniel Y. Song, Junghoon Lee

Research output: Contribution to journalArticlepeer-review

Abstract

We propose a deformable registration algorithm for prostate-specific membrane antigen (PSMA) PET/CT and transrectal ultrasound (TRUS) fusion. Accurate registration of PSMA PET to intraoperative TRUS will allow physicians to customize dose planning based on the regions involved. The inputs to the registration algorithm are the PET/CT and TRUS volumes as well as the prostate segmentations. PET/CT and TRUS volumes are first rigidly registered by maximizing the overlap between the segmented prostate binary masks. Three-dimensional anatomical landmarks are then automatically extracted from the boundary as well as within the prostate. Then, a deformable registration is performed using a regularized thin plate spline where the landmark localization error is optimized between the extracted landmarks that are in correspondence. The proposed algorithm was evaluated on 25 prostate cancer patients treated with low-dose-rate brachytherapy. We registered the postimplant CT to TRUS using the proposed algorithm and computed target registration errors (TREs) by comparing implanted seed locations. Our approach outperforms state-of-the-art methods, with significantly lower (mean ± standard deviation) TRE of 1.96 ± 1.29 mm while being computationally efficient (mean computation time of 38 s). The proposed landmark-based PET/CT-TRUS deformable registration algorithm is simple, computationally efficient, and capable of producing quality registration of the prostate boundary as well as the internal gland.

Original languageEnglish (US)
Article number035003
JournalJournal of Medical Imaging
Volume6
Issue number3
DOIs
StatePublished - Jul 1 2019

Keywords

  • Deformable registration
  • Focal therapy
  • PET/CT
  • Prostate brachytherapy
  • Transrectal ultrasound

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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