Accuracy and consistency of intensity-based deformable image registration in 4DCT for tumor motion estimation in liver radiotherapy planning

被引:6
|
作者
Tascon-Vidarte, Jose D. [1 ]
Stick, Line Bjerregaard [2 ]
Josipovic, Mirjana [2 ]
Risum, Signe [2 ]
Jomier, Julien [3 ]
Erleben, Kenny [1 ]
Vogelius, Ivan Richter [2 ]
Darkner, Sune [1 ]
机构
[1] Univ Copenhagen, Dept Comp Sci, Copenhagen, Denmark
[2] Dept Oncol, Copenhagen, Denmark
[3] Kitware SAS, Villeurbanne, France
来源
PLOS ONE | 2022年 / 17卷 / 07期
关键词
STEREOTACTIC BODY RADIOTHERAPY; RADIATION-THERAPY; TARGET; CT; MANAGEMENT; REDUCTION; FRAMEWORK; MODEL;
D O I
10.1371/journal.pone.0271064
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
We investigate the accuracy of intensity-based deformable image registration (DIR) for tumor localization in liver stereotactic body radiotherapy (SBRT). We included 4DCT scans to capture the breathing motion of eight patients receiving SBRT for liver metastases within a retrospective clinical study. Each patient had three fiducial markers implanted. The liver and the tumor were delineated in the mid-ventilation phase, and their positions in the other phases were estimated with deformable image registration. We tested referenced and sequential registrations strategies. The fiducial markers were the gold standard to evaluate registration accuracy. The registration errors related to measured versus estimated fiducial markers showed a mean value less than 1.6mm. The positions of some fiducial markers appeared not stable on the 4DCT throughout the respiratory phases. Markers' center of mass tends to be a more reliable measurement. Distance errors of tumor location based on registration versus markers center of mass were less than 2mm. There were no statistically significant differences between the reference and the sequential registration, i.e., consistency and errors were comparable to resolution errors. We demonstrated that intensitybased DIR is accurate up to resolution level for locating the tumor in the liver during breathing motion.
引用
收藏
页数:15
相关论文
共 50 条
  • [41] An algorithm for automated organ motion evaluation based on 4DCT image analysis
    Lyatskaya, Y.
    Rehfeld, K.
    Killoran, J.
    Cormack, R.
    Allen, A.
    MEDICAL PHYSICS, 2007, 34 (06) : 2387 - 2387
  • [42] Assessments and Analytical Predictions of Lung Tumor Motion Based On 4DCT Scans
    Li, S.
    Wang, B.
    Giaddui, T.
    Hollander, A.
    Micaily, B.
    Miyamoto, C.
    MEDICAL PHYSICS, 2020, 47 (06) : E705 - E705
  • [43] Assessment of a model-based deformable image registration approach for radiotherapy planning
    Kaus, M.
    Brock, K.
    Pekar, V.
    Bzdusek, K.
    Dawson, L.
    Nichol, A.
    Jaffray, D.
    MEDICAL PHYSICS, 2006, 33 (06) : 2186 - 2186
  • [44] Deep-learning deformable image registration for 4DCT/3DMRI label prop-agation.
    Kheil, Ziad
    Ken, Soleakhena
    Risser, Laurent
    RADIOTHERAPY AND ONCOLOGY, 2024, 194 : S4478 - S4481
  • [45] Impact of deformable image registration on dose accumulation applied electrocardiograph-gated 4DCT in the heart and left ventricular myocardium during esophageal cancer radiotherapy
    Ying Tong
    Yong Yin
    Pinjing Cheng
    Guanzhong Gong
    Radiation Oncology, 13
  • [46] Benchmark of 4DCT Derived Motion Models with a Biomechanical Lung Model for Tumor Position Estimation
    Sabouri, P.
    Ranjbar, M.
    Mossahebi, S.
    Sawant, A.
    Mohindra, P.
    Lasio, G.
    Topoleski, L.
    MEDICAL PHYSICS, 2021, 48 (06)
  • [47] Deformable Image Registration Based Delivered Dose Estimation for Head and Neck Radiotherapy
    Kumarasiri, A.
    Liu, C.
    Chetvertkov, M.
    Gordon, J.
    Siddiqui, F.
    Chetty, I.
    Kim, J.
    MEDICAL PHYSICS, 2014, 41 (06) : 191 - 192
  • [48] A voxel-by-voxel comparison of deformable vector fields obtained by three deformable image registration algorithms applied to 4DCT lung studies
    Fatyga, Mirek
    Dogan, Nesrin
    Weiss, Elizabeth
    Sleeman, William C.
    Zhang, Baoshe
    Lehman, William J.
    Williamson, Jeffrey F.
    Wijesooriya, Krishni
    Christensen, Gary E.
    FRONTIERS IN ONCOLOGY, 2015, 5
  • [49] COMPARISON OF FIDUCIAL MOTION IN LIVER STEREOTACTIC ABLATIVE RADIOTHERAPY (SABR) PATIENTS USING 4DCT, AND FLUOROSCOPY
    Rodgerson, Christine
    Tai, Isaac
    Cumayas, Christina
    Bergman, Alanah
    Karan, Tania
    Camborde, Marie-Laure
    Dunne, Emma
    RADIOTHERAPY AND ONCOLOGY, 2019, 139 : S9 - S9
  • [50] Real Time Tumor Motion Monitoring during IGRT Based on Manifold Learning and Dynamic Registration between 4DCT and Fluoroscopy
    Chen, T.
    Jabbour, S.
    Goyal, S.
    Zhou, J.
    Haffty, B.
    Yue, N.
    MEDICAL PHYSICS, 2010, 37 (06)