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Erschienen in: Medical & Biological Engineering & Computing 3/2019

15.10.2018 | Original Article

Imaging study of pseudo-CT images of superposed ultrasound deformation fields acquired in radiotherapy based on step-by-step local registration

verfasst von: Hongfei Sun, Tao Lin, Kai Xie, Liugang Gao, Jianfeng Sui, Xinye Ni

Erschienen in: Medical & Biological Engineering & Computing | Ausgabe 3/2019

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Abstract

The purpose of this study is to create a new pseudo-computed tomography (CT) imaging approach under superposed ultrasound (US) deformation fields based on step-by-step local registration. Scanned CT and US 3D image datasets of three patients with postoperative cervical carcinoma were selected, including CT (CTsim) and US images (USsim) acquired during simulated positioning process and cone beam CT (CBCT) and US images for positioning verification (USpv) acquired after treatment for 10 times. Regions of interest such as urinary bladders were segmented out and accepted local registration to obtain different deformation fields. These deformation fields were successively performed according to their order and then applied to localized CT images to obtain pseudo-CT (CTps). After filtering, we obtained the final correct pseudo-CT (CTpsf). The pseudo-CT based on the mask of the whole imaging region of US images (WCTps) were acquired as control. Then, we compared CTpsf, CTps, WCTps, and CBCT in terms of their similarity in anatomical structure and differences in pseudo-CT and CTsim in terms of dosimetry. Structural similarity degree between CTpsf and CBCT was larger compared with that between CTps and WCTps. Target regions and dosages of endangered organs between CTpsf and CTsim were different under the same calculation conditions based on the Monte Carlo algorithm. Compared with the VMAT plan of CTsim, the pass rate of CTpsf in γ analysis under the standards of 2% dosage difference and 2-mm distance difference was 91.8%. The imaging quality of CTpsf was better compared with WCTps and CTps. It exhibited high similarity with CBCT in anatomical structure and had favorable application prospect in adaptive radiotherapy.

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Literatur
1.
Zurück zum Zitat Takemura A, Shoji S, Ueda S, Kurata Y, Kumano T, Takamatsu S, Suzuki M (2009) Effect of daily setup errors on individual dose distribution in conventional radiotherapy: an initial study[J]. Radiol Phys Technol. 2(2):151–158CrossRefPubMed Takemura A, Shoji S, Ueda S, Kurata Y, Kumano T, Takamatsu S, Suzuki M (2009) Effect of daily setup errors on individual dose distribution in conventional radiotherapy: an initial study[J]. Radiol Phys Technol. 2(2):151–158CrossRefPubMed
2.
Zurück zum Zitat Yan D, Ziaja E, Jaffray D, Wong J, Brabbins D, Vicini F, Martinez A (1998) The use of adaptive radiation therapy to reduce setup error: a prospective clinical study[J]. Int J Radiat Oncol Biol Phys 41(3):715–720CrossRefPubMed Yan D, Ziaja E, Jaffray D, Wong J, Brabbins D, Vicini F, Martinez A (1998) The use of adaptive radiation therapy to reduce setup error: a prospective clinical study[J]. Int J Radiat Oncol Biol Phys 41(3):715–720CrossRefPubMed
3.
Zurück zum Zitat Yan H, Zhen X, Cerviño L, Jiang SB, Jia X (2013) Progressive cone beam CT dose control in image-guided radiation therapy[J]. Med Phys 40(6):060701CrossRefPubMedPubMedCentral Yan H, Zhen X, Cerviño L, Jiang SB, Jia X (2013) Progressive cone beam CT dose control in image-guided radiation therapy[J]. Med Phys 40(6):060701CrossRefPubMedPubMedCentral
4.
Zurück zum Zitat Meroni S, Mongioj V, Giandini T, Bonfantini F, Cavallo A, Carrara M, Stucchi C, Cavatorta C, Pignoli E (2016) EP-1822: limits and potentialities of the use of CBCT for dose calculation in adaptive radiotherapy[J]. Radiother Oncol 119:S854–S855CrossRef Meroni S, Mongioj V, Giandini T, Bonfantini F, Cavallo A, Carrara M, Stucchi C, Cavatorta C, Pignoli E (2016) EP-1822: limits and potentialities of the use of CBCT for dose calculation in adaptive radiotherapy[J]. Radiother Oncol 119:S854–S855CrossRef
5.
Zurück zum Zitat Pennec X, Cachier P, Ayache N (2001) Tracking brain deformations in time-sequences of 3D US images[J]. 24(4–5):801–813 Pennec X, Cachier P, Ayache N (2001) Tracking brain deformations in time-sequences of 3D US images[J]. 24(4–5):801–813
6.
Zurück zum Zitat Andreasen D, Edmund JM, Zografos V et al (2016) Computed tomography synthesis from magnetic resonance images in the pelvis using multiple random forests and auto-context features[C]//SPIE medical imaging. International Society for Optics and Photonics 9784:978417 Andreasen D, Edmund JM, Zografos V et al (2016) Computed tomography synthesis from magnetic resonance images in the pelvis using multiple random forests and auto-context features[C]//SPIE medical imaging. International Society for Optics and Photonics 9784:978417
7.
Zurück zum Zitat Cao X, Yang J, Gao Y, Guo Y, Wu G, Shen D (2017) Dual-core steered non-rigid registration for multi-modal images via bi-directional image synthesis[J]. Med Image Anal 41:18–31CrossRefPubMedPubMedCentral Cao X, Yang J, Gao Y, Guo Y, Wu G, Shen D (2017) Dual-core steered non-rigid registration for multi-modal images via bi-directional image synthesis[J]. Med Image Anal 41:18–31CrossRefPubMedPubMedCentral
8.
Zurück zum Zitat Li M, Ballhausen H, Hegemann NS, Ganswindt U, Manapov F, Tritschler S, Roosen A, Gratzke C, Reiner M, Belka C (2015) A comparative assessment of prostate positioning guided by three-dimensional ultrasound and cone beam CT[J]. Radiat Oncol 10(1):82–83CrossRefPubMedPubMedCentral Li M, Ballhausen H, Hegemann NS, Ganswindt U, Manapov F, Tritschler S, Roosen A, Gratzke C, Reiner M, Belka C (2015) A comparative assessment of prostate positioning guided by three-dimensional ultrasound and cone beam CT[J]. Radiat Oncol 10(1):82–83CrossRefPubMedPubMedCentral
9.
Zurück zum Zitat Van d MS, Camps SM, van Elmpt WJ et al (2016) Simulation of pseudo-CT images based on deformable image registration of ultrasound images: a proof of concept for transabdominal ultrasound imaging of the prostate during radiotherapy.[J]. Med Phys 43(4):1913–1920CrossRef Van d MS, Camps SM, van Elmpt WJ et al (2016) Simulation of pseudo-CT images based on deformable image registration of ultrasound images: a proof of concept for transabdominal ultrasound imaging of the prostate during radiotherapy.[J]. Med Phys 43(4):1913–1920CrossRef
10.
Zurück zum Zitat Camps S, Meer SVD, Verhaegen F, et al. (2016) Various approaches for pseudo-CT scan creation based on ultrasound to ultrasound deformable image registration between different treatment time points for radiotherapy treatment plan adaptation in prostate cancer patients[J]. 2(3):035018 Camps S, Meer SVD, Verhaegen F, et al. (2016) Various approaches for pseudo-CT scan creation based on ultrasound to ultrasound deformable image registration between different treatment time points for radiotherapy treatment plan adaptation in prostate cancer patients[J]. 2(3):035018
11.
Zurück zum Zitat Shrimali V, Anand RS, Kumar V (2009) Current trends in segmentation of medical ultrasound B-mode images: a review[J]. IETE Tech Rev 26(1):8–17CrossRef Shrimali V, Anand RS, Kumar V (2009) Current trends in segmentation of medical ultrasound B-mode images: a review[J]. IETE Tech Rev 26(1):8–17CrossRef
12.
Zurück zum Zitat Klein S, Staring M, Murphy K, Viergever MA, Pluim J (2010) Elastix: a toolbox for intensity-based medical image registration[J]. IEEE Trans Med Imaging 29(1):196–204CrossRefPubMed Klein S, Staring M, Murphy K, Viergever MA, Pluim J (2010) Elastix: a toolbox for intensity-based medical image registration[J]. IEEE Trans Med Imaging 29(1):196–204CrossRefPubMed
13.
Zurück zum Zitat Shamonin DP, Bron EE, Lelieveldt BPF et al (2013) Fast parallel image registration on CPU and GPU for diagnostic classification of Alzheimer's disease[J]. Front Neuroendocrinol 7(50):50–60 Shamonin DP, Bron EE, Lelieveldt BPF et al (2013) Fast parallel image registration on CPU and GPU for diagnostic classification of Alzheimer's disease[J]. Front Neuroendocrinol 7(50):50–60
14.
Zurück zum Zitat Robinson D, Liu D, Steciw S, Field C, Daly H, Saibishkumar EP, Fallone G, Parliament M, Amanie J (2012) An evaluation of the clarity 3D ultrasound system for prostate localization[J]. J Appl Clin Med Phys 13(4):100–112CrossRefPubMedCentral Robinson D, Liu D, Steciw S, Field C, Daly H, Saibishkumar EP, Fallone G, Parliament M, Amanie J (2012) An evaluation of the clarity 3D ultrasound system for prostate localization[J]. J Appl Clin Med Phys 13(4):100–112CrossRefPubMedCentral
15.
Zurück zum Zitat Zhang Z, Liu F, Tsui H, Lau Y, Song X (2014) A multiscale adaptive mask method for rigid intraoperative ultrasound and preoperative CT image registration[J]. Med Phys 41(10):102903CrossRefPubMed Zhang Z, Liu F, Tsui H, Lau Y, Song X (2014) A multiscale adaptive mask method for rigid intraoperative ultrasound and preoperative CT image registration[J]. Med Phys 41(10):102903CrossRefPubMed
16.
Zurück zum Zitat Kadir T, Zisserman A, Brady M (2004) An affine invariant salient region detector[C]// Proc European Conference on Computer Vision. 228–241 Kadir T, Zisserman A, Brady M (2004) An affine invariant salient region detector[C]// Proc European Conference on Computer Vision. 228–241
17.
Zurück zum Zitat Lu B, Wang H, Lin Z (2011) High order Gaussian curvature flow for image smoothing[C]// international conference on multimedia technology. IEEE:5888–5891 Lu B, Wang H, Lin Z (2011) High order Gaussian curvature flow for image smoothing[C]// international conference on multimedia technology. IEEE:5888–5891
18.
Zurück zum Zitat Vik T, Kabus S, Berg J V, et al. Validation and comparison of registration methods for free-breathing 4D lung CT[J]. Proc Spie, 2008, 6914(6914):69142P-1-69142P-10 Vik T, Kabus S, Berg J V, et al. Validation and comparison of registration methods for free-breathing 4D lung CT[J]. Proc Spie, 2008, 6914(6914):69142P-1-69142P-10
19.
Zurück zum Zitat Riyahi S, Choi W, Bhooshan N, Tan S, Zhang H, Lu W (2016) Comparison of registration methods for modeling pathologic response of esophageal cancer to chemoradiation therapy[J]. Med Phys 43(6):3331–3339CrossRef Riyahi S, Choi W, Bhooshan N, Tan S, Zhang H, Lu W (2016) Comparison of registration methods for modeling pathologic response of esophageal cancer to chemoradiation therapy[J]. Med Phys 43(6):3331–3339CrossRef
20.
Zurück zum Zitat Dong C, Wang R, Meng X et al (2014) A comparison of liver protection among 3-D conformal radiotherapy, intensity-modulated radiotherapy and RapidArc for hepatocellular carcinoma[J]. Radiat Oncol 9(1):48CrossRef Dong C, Wang R, Meng X et al (2014) A comparison of liver protection among 3-D conformal radiotherapy, intensity-modulated radiotherapy and RapidArc for hepatocellular carcinoma[J]. Radiat Oncol 9(1):48CrossRef
21.
Zurück zum Zitat Robertson SP, Weiss E, Hugo GD (2012) Localization accuracy from automatic and semi-automatic rigid registration of locally-advanced lung cancer targets during image-guided radiation therapy[J]. Med Phys 39(1):330–341CrossRefPubMed Robertson SP, Weiss E, Hugo GD (2012) Localization accuracy from automatic and semi-automatic rigid registration of locally-advanced lung cancer targets during image-guided radiation therapy[J]. Med Phys 39(1):330–341CrossRefPubMed
22.
Zurück zum Zitat Geraily G, Mirzapour M, Mahdavi SR et al (2014) Monte Carlo study on beam hardening effect of physical wedges[J]. Iran J Radiat Res 12(3):249–256 Geraily G, Mirzapour M, Mahdavi SR et al (2014) Monte Carlo study on beam hardening effect of physical wedges[J]. Iran J Radiat Res 12(3):249–256
23.
Zurück zum Zitat Aubry J, Pouliot J, Beaulieu L (2008) Correction of megavoltage cone-beam CT images for dose calculation in the head and neck region[J]. Med Phys 35(3):900–907CrossRefPubMed Aubry J, Pouliot J, Beaulieu L (2008) Correction of megavoltage cone-beam CT images for dose calculation in the head and neck region[J]. Med Phys 35(3):900–907CrossRefPubMed
24.
Zurück zum Zitat Zhang J, Zhang W, Lu J (2015) A correction algorithm for Kilovoltage cone-beam computed tomography dose calculations in cervical Cancer patients[J]. Med Phys 42(6):3242–3242CrossRef Zhang J, Zhang W, Lu J (2015) A correction algorithm for Kilovoltage cone-beam computed tomography dose calculations in cervical Cancer patients[J]. Med Phys 42(6):3242–3242CrossRef
Metadaten
Titel
Imaging study of pseudo-CT images of superposed ultrasound deformation fields acquired in radiotherapy based on step-by-step local registration
verfasst von
Hongfei Sun
Tao Lin
Kai Xie
Liugang Gao
Jianfeng Sui
Xinye Ni
Publikationsdatum
15.10.2018
Verlag
Springer Berlin Heidelberg
Erschienen in
Medical & Biological Engineering & Computing / Ausgabe 3/2019
Print ISSN: 0140-0118
Elektronische ISSN: 1741-0444
DOI
https://doi.org/10.1007/s11517-018-1912-2

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