Intensity-based dual model method for generation of synthetic CT images from standard T2-weighted MR images - Generalized technique for four different MR scanners

Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology
Lauri KoivulaJuha Korhonen

Abstract

Recent studies have shown that it is possible to conduct entire radiotherapy treatment planning (RTP) workflow using only MR images. This study aims to develop a generalized intensity-based method to generate synthetic CT (sCT) images from standard T2-weighted (T2w) MR images of the pelvis. This study developed a generalized dual model HU conversion method to convert standard T2w MR image intensity values to synthetic HU values, separately inside and outside of atlas-segmented bone volume contour. The method was developed and evaluated with 20 and 35 prostate cancer patients, respectively. MR images with scanning sequences in clinical use were acquired with four different MR scanners of three vendors. For the generated synthetic CT (sCT) images of the 35 prostate patients, the mean (and maximal) HU differences in soft and bony tissue volumes were 16 ± 6 HUs (34 HUs) and -46 ± 56 HUs (181 HUs), respectively, against the true CT images. The average of the PTV mean dose difference in sCTs compared to those in true CTs was -0.6 ± 0.4% (-1.3%). The study provides a generalized method for sCT creation from standard T2w images of the pelvis. The method produced clinically acceptable dose calculation results for all the included scanne...Continue Reading

Citations

Nov 27, 2018·Journal of Applied Clinical Medical Physics·Reza FarjamMargie A Hunt
Jan 23, 2019·Physics in Medicine and Biology·Filipa GuerreiroBas W Raaymakers
Mar 13, 2019·Journal of Applied Clinical Medical Physics·Fang LiuAlan B McMillan
Feb 3, 2018·Physics in Medicine and Biology·Amir M OwrangiCarri K Glide-Hurst
Aug 6, 2019·Frontiers in Oncology·Stefano MandijaCornelis A T van den Berg
Oct 27, 2020·Strahlentherapie und Onkologie : Organ der Deutschen Röntgengesellschaft ... [et al]·Veit MenglingFlorian Putz
Sep 17, 2021·Physics in Medicine and Biology·Sven OlbergJustin C Park

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