Quality assurance assessment of intra-acquisition diffusion-weighted and T2-weighted magnetic resonance imaging registration and contour propagation for head and neck cancer radiotherapy

被引:2
作者
Naser, Mohamed A. A. [1 ]
Wahid, Kareem A. A. [1 ]
Ahmed, Sara [1 ]
Salama, Vivian [1 ]
Dede, Cem [1 ]
Edwards, Benjamin W. W. [1 ]
Lin, Ruitao [2 ]
McDonald, Brigid [1 ]
Salzillo, Travis C. C. [1 ]
He, Renjie [1 ]
Ding, Yao [3 ]
Abdelaal, Moamen Abobakr [1 ]
Thill, Daniel [4 ]
O'Connell, Nicolette [4 ]
Willcut, Virgil [4 ]
Christodouleas, John P. P. [4 ]
Lai, Stephen Y. Y. [5 ]
Fuller, Clifton D. D. [1 ,6 ]
Mohamed, Abdallah S. R. [1 ,6 ]
机构
[1] Univ Texas MD Anderson Canc Ctr, Dept Radiat Oncol, Houston, TX USA
[2] Univ Texas MD Anderson Canc Ctr, Dept Biostat, Houston, TX USA
[3] Univ Texas MD Anderson Canc Ctr, Dept Radiat Phys, Houston, TX USA
[4] Elekta AB, Stockholm, Sweden
[5] Univ Texas MD Anderson Canc Ctr, Dept Head & Neck Surg, Houston, TX USA
[6] Univ Texas MD Anderson Canc Ctr, Dept Radiat Oncol, 1515 Holcombe Blvd, Houston, TX 77030 USA
基金
美国国家卫生研究院;
关键词
adaptive radiotherapy; deformable image registration; magnetic resonance; quality assurance; RADIATION-THERAPY; NONRIGID REGISTRATION; ADAPTIVE RADIOTHERAPY; ALGORITHMS; PERFORMANCE; SIMULATION;
D O I
10.1002/mp.16128
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Background/PurposeAdequate image registration of anatomical and functional magnetic resonance imaging (MRI) scans is necessary for MR-guided head and neck cancer (HNC) adaptive radiotherapy planning. Despite the quantitative capabilities of diffusion-weighted imaging (DWI) MRI for treatment plan adaptation, geometric distortion remains a considerable limitation. Therefore, we systematically investigated various deformable image registration (DIR) methods to co-register DWI and T2-weighted (T2W) images. Materials/MethodsWe compared three commercial (ADMIRE, Velocity, Raystation) and three open-source (Elastix with default settings [Elastix Default], Elastix with parameter set 23 [Elastix 23], Demons) post-acquisition DIR methods applied to T2W and DWI MRI images acquired during the same imaging session in twenty immobilized HNC patients. In addition, we used the non-registered images (None) as a control comparator. Ground-truth segmentations of radiotherapy structures (tumour and organs at risk) were generated by a physician expert on both image sequences. For each registration approach, structures were propagated from T2W to DWI images. These propagated structures were then compared with ground-truth DWI structures using the Dice similarity coefficient and mean surface distance. Results19 left submandibular glands, 18 right submandibular glands, 20 left parotid glands, 20 right parotid glands, 20 spinal cords, and 12 tumours were delineated. Most DIR methods took <30 s to execute per case, with the exception of Elastix 23 which took similar to 458 s to execute per case. ADMIRE and Elastix 23 demonstrated improved performance over None for all metrics and structures (Bonferroni-corrected p < 0.05), while the other methods did not. Moreover, ADMIRE and Elastix 23 significantly improved performance in individual and pooled analysis compared to all other methods. ConclusionsThe ADMIRE DIR method offers improved geometric performance with reasonable execution time so should be favoured for registering T2W and DWI images acquired during the same scan session in HNC patients. These results are important to ensure the appropriate selection of registration strategies for MR-guided radiotherapy.
引用
收藏
页码:2089 / 2099
页数:11
相关论文
共 39 条
  • [1] Andre Jalal B, 2010, Top Magn Reson Imaging, V21, P367, DOI 10.1097/RMR.0b013e31823e65a1
  • [2] Co-registration and distortion correction of diffusion and anatomical images based on inverse contrast normalization
    Bhushan, Chitresh
    Haldar, Justin P.
    Choi, Soyoung
    Joshi, Anand A.
    Shattuck, David W.
    Leahy, Richard M.
    [J]. NEUROIMAGE, 2015, 115 : 269 - 280
  • [3] IMRT: a review and preview
    Bortfeld, Thomas
    [J]. PHYSICS IN MEDICINE AND BIOLOGY, 2006, 51 (13) : R363 - R379
  • [4] Comparing nonrigid registration techniques for motion corrected MR prostate diffusion imaging
    Buerger, C.
    Senegas, J.
    Kabus, S.
    Carolus, H.
    Schulz, H.
    Agarwal, H.
    Turkbey, B.
    Choyke, P. L.
    Renisch, S.
    [J]. MEDICAL PHYSICS, 2015, 42 (01) : 69 - 80
  • [5] Chawla S, 2009, FUTURE ONCOL, V5, P959, DOI [10.2217/fon.09.77, 10.2217/FON.09.77]
  • [6] The Future of Image-guided Radiotherapy
    Choudhury, A.
    Budgell, G.
    MacKay, R.
    Falk, S.
    Faivre-Finn, C.
    Dubec, M.
    van Herk, M.
    McWilliam, A.
    [J]. CLINICAL ONCOLOGY, 2017, 29 (10) : 662 - 666
  • [7] De Luca M, 2011, IEEE ENG MED BIO, P8029, DOI 10.1109/IEMBS.2011.6091980
  • [8] Eriksson M., COMP 5 METHODS DEFOR
  • [9] A quantitative comparison of the performance of three deformable registration algorithms in radiotherapy
    Fabri, Daniella
    Zambrano, Valentina
    Bhatia, Amon
    Furtado, Hugo
    Bergmann, Helmer
    Stock, Markus
    Bloch, Christoph
    Luetgendorf-Caucig, Carola
    Pawiro, Supriyanto
    Georg, Dietmar
    Birkfellner, Wolfgang
    Figl, Michael
    [J]. ZEITSCHRIFT FUR MEDIZINISCHE PHYSIK, 2013, 23 (04): : 279 - 290
  • [10] Introduction to the Technical Aspects of Computed Diffusion-weighted Imaging for Radiologists
    Higaki, Toru
    Nakamura, Yuko
    Tatsugami, Fuminari
    Kaichi, Yoko
    Akagi, Motonori
    Akiyama, Yuij
    Baba, Yasutaka
    Iida, Makoto
    Awai, Kazuo
    [J]. RADIOGRAPHICS, 2018, 38 (04) : 1131 - 1144