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Med Phys. 2008 Jul;35(7):3417. doi: 10.1118/1.2965999.

Sci-Sat AM(2): Brachy-07: Tomosynthesis-based seed reconstruction in LDR prostate brachytherapy: A clinical study.

Medical physics

M Brunet-Benkhoucha, F Verhaegen, S Lassalle, D Béliveau-Nadeau, B Reniers, D Donath, D Taussky, J-F Carrier

Affiliations

  1. McGill University, Montreal, QC.
  2. Hôpital Notre-Dame du CHUM, Montreal, QC.

PMID: 28512882 DOI: 10.1118/1.2965999

Abstract

To develop a tomosynthesis-based dose assessment procedure that can be performed after an I-125 prostate seed implantation, while the patient is still under anaesthesia on the treatment table. Our seed detection procedure involves the reconstruction of a volume of interest based on the backprojection of 7 seed-only binary images acquired over an angle of 60° with an isocentric imaging system. A binary seed-only volume is generated by a simple thresholding of the volume of interest. Seeds positions are extracted from this volume with a 3D connected component analysis and a statistical classifier that determines the number of seeds in each cluster of connected voxels. A graphical user interface (GUI) allows to visualize the result and to introduce corrections, if needed. A phantom and a clinical study (24 patients) were carried out to validate the technique. A phantom study demonstrated a very good localization accuracy of (0.4+/-0.4) mm when compared to CT-based reconstruction. This leads to dosimetric error on D90 and V100 of respectively 0.5% and 0.1%. In a patient study with an average of 56 seeds per implant, the automatic tomosynthesis-based reconstruction yields a detection rate of 96% of the seeds and less than 1.5% of false-positives. With the help of the GUI, the user can achieve a 100% detection rate in an average of 3 minutes. This technique would allow to identify possible underdosage and to correct it by potentially reimplanting additional seeds. A more uniform dose coverage could then be achieved in LDR prostate brachytherapy.

© 2008 American Association of Physicists in Medicine.

Keywords: Brachytherapy; Cluster analysis; Dosimetry; Image detection systems; Image reconstruction; Medical image reconstruction; Medical imaging; Statistical analysis; User interfaces

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