scholarly journals Pseudo-Computed Tomography Generation Using Rigid Registration of Pretaken Diagnostic Computed Tomography to Planning Magnetic Resonance for Magnetic Resonance–Based Treatment Planning

2016 ◽  
Vol 96 (2) ◽  
pp. E663
Author(s):  
H.J. Jeong ◽  
K.M. Kang ◽  
B.K. Jeong ◽  
J.H. Song ◽  
Y.H. Lee ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Magnetic Resonance ◽  
Treatment Planning ◽  
Rigid Registration

Use of 3D transabdominal ultrasound imaging for treatment planning in cervical cancer brachytherapy: Comparison to magnetic resonance and computed tomography

Brachytherapy ◽  
2017 ◽  
Vol 16 (4) ◽  
pp. 847-854 ◽  
Author(s):  
Patricia St-Amant ◽  
William Foster ◽  
Marie-Anne Froment ◽  
Sylviane Aubin ◽  
Marie-Claude Lavallée ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Cervical Cancer ◽  
Magnetic Resonance ◽  
Treatment Planning ◽  
Ultrasound Imaging ◽  
Transabdominal Ultrasound

Accuracy of magnetic resonance imaging–cone beam computed tomography rigid registration of the head: an in-vitro study

2016 ◽  
Vol 121 (3) ◽  
pp. 316-321 ◽  
Author(s):  
Mohammed A.Q. Al-Saleh ◽  
Kumaradevan Punithakumar ◽  
Jacob L. Jaremko ◽  
Noura A. Alsufyani ◽  
Pierre Boulanger ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Computed Tomography ◽  
Magnetic Resonance ◽  
Cone Beam Computed Tomography ◽  
In Vitro Study ◽  
Vitro Study ◽  
Cone Beam ◽  
Resonance Imaging ◽  
Rigid Registration

Registration of magnetic resonance spectroscopic imaging to computed tomography for radiotherapy treatment planning

2001 ◽  
Vol 28 (12) ◽  
pp. 2489-2496 ◽  
Author(s):  
Edward E. Graves ◽  
Andrea Pirzkall ◽  
Sarah J. Nelson ◽  
David Larson ◽  
Lynn Verhey
Keyword(s):  
Computed Tomography ◽  
Magnetic Resonance ◽  
Treatment Planning ◽  
Spectroscopic Imaging ◽  
Magnetic Resonance Spectroscopic Imaging ◽  
Radiotherapy Treatment Planning ◽  
Radiotherapy Treatment

scholarly journals Multimodal non-rigid registration methods based on local variability measures in computed tomography and magnetic resonance brain images

2014 ◽  
Vol 8 (12) ◽  
pp. 699-707 ◽  
Author(s):  
Isnardo Reducindo ◽  
Elisa Scalco ◽  
Edgar R. Arce-Santana ◽  
Giovanni M. Cattaneo ◽  
Aldo R. Mejia-Rodriguez ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Magnetic Resonance ◽  
Brain Images ◽  
Rigid Registration ◽  
Local Variability

scholarly journals Feasibility of synthetic computed tomography generated with an adversarial network for multi-sequence magnetic resonance-based brain radiotherapy

2019 ◽  
Vol 61 (1) ◽  
pp. 92-103 ◽  
Author(s):  
Yuhei Koike ◽  
Yuichi Akino ◽  
Iori Sumida ◽  
Hiroya Shiomi ◽  
Hirokazu Mizuno ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Magnetic Resonance ◽  
Treatment Planning ◽  
Path Length ◽  
Whole Body ◽  
Mr Images ◽  
Brain Radiotherapy ◽  
Adversarial Network ◽  
Significant Difference ◽  
3D Crt

ABSTRACT The aim of this work is to generate synthetic computed tomography (sCT) images from multi-sequence magnetic resonance (MR) images using an adversarial network and to assess the feasibility of sCT-based treatment planning for brain radiotherapy. Datasets for 15 patients with glioblastoma were selected and 580 pairs of CT and MR images were used. T1-weighted, T2-weighted and fluid-attenuated inversion recovery MR sequences were combined to create a three-channel image as input data. A conditional generative adversarial network (cGAN) was trained using image patches. The image quality was evaluated using voxel-wise mean absolute errors (MAEs) of the CT number. For the dosimetric evaluation, 3D conformal radiotherapy (3D-CRT) and volumetric modulated arc therapy (VMAT) plans were generated using the original CT set and recalculated using the sCT images. The isocenter dose and dose–volume parameters were compared for 3D-CRT and VMAT plans, respectively. The equivalent path length was also compared. The mean MAEs for the whole body, soft tissue and bone region were 108.1 ± 24.0, 38.9 ± 10.7 and 366.2 ± 62.0 hounsfield unit, respectively. The dosimetric evaluation revealed no significant difference in the isocenter dose for 3D-CRT plans. The differences in the dose received by 2% of the volume (D2%), D50% and D98% relative to the prescribed dose were <1.0%. The overall equivalent path length was shorter than that for real CT by 0.6 ± 1.9 mm. A treatment planning study using generated sCT detected only small, clinically negligible differences. These findings demonstrated the feasibility of generating sCT images for MR-only radiotherapy from multi-sequence MR images using cGAN.

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