Automatic Substitute Computed Tomography Generation and Contouring for Magnetic Resonance Imaging (MRI)-Alone External Beam Radiation Therapy From Standard MRI Sequences

被引:142
作者
Dowling, Jason A. [1 ,2 ]
Sun, Jidi [2 ]
Pichler, Peter [3 ]
Rivest-Henault, David [1 ]
Ghose, Soumya [1 ]
Richardson, Haylea [3 ]
Wratten, Chris [2 ,3 ]
Martin, Jarad [2 ,3 ]
Arm, Jameen [3 ,4 ]
Best, Leah
Chandra, Shekhar S. [5 ]
Fripp, Jurgen [1 ]
Menk, Frederick W. [2 ]
Greer, Peter B. [2 ,3 ]
机构
[1] CSIRO Australian E Hlth Res Ctr, Herston, Qld, Australia
[2] Univ Newcastle, Callaghan, NSW 2308, Australia
[3] Calvary Mater Newcastle Hosp, Waratah, NSW, Australia
[4] Hunter New England Hlth, Dept Radiol, New Lambton, NSW, Australia
[5] Univ Queensland, Sch Informat Technol & Elect Engn, Brisbane, Qld, Australia
来源
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS | 2015年 / 93卷 / 05期
关键词
ATTENUATION-CORRECTION; PROSTATE-CANCER; ELECTRON-DENSITY; CT IMAGES; QUANTITATIVE-EVALUATION; ONLY RADIOTHERAPY; BRAIN-TUMORS; SEGMENTATION; FEASIBILITY; INFORMATION;
D O I
10.1016/j.ijrobp.2015.08.045
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Purpose: To validate automatic substitute computed tomography CT (sCT) scans generated from standard T2-weighted (T2w) magnetic resonance (MR) pelvic scans for MR-Sim prostate treatment planning. Patients and Methods: A Siemens Skyra 3T MR imaging (MRI) scanner with laser bridge, flat couch, and pelvic coil mounts was used to scan 39 patients scheduled for external beam radiation therapy for localized prostate cancer. For sCT generation a whole-pelvis MRI scan (1.6 mm 3-dimensional isotropic T2w SPACE [Sampling Perfection with Application optimized Contrasts using different flip angle Evolution] sequence) was acquired. Three additional small field of view scans were acquired: T2w, T2*w, and T1w flip angle 80 degrees for gold fiducials. Patients received a routine planning CT scan. Manual contouring of the prostate, rectum, bladder, and bones was performed independently on the CT and MR scans. Three experienced observers contoured each organ on MRI, allowing interobserver quantification. To generate a training database, each patient CT scan was coregistered to their whole-pelvis T2w using symmetric rigid registration and structure-guided deformable registration. A new multi-atlas local weighted voting method was used to generate automatic contours and sCT results. Results: The mean error in Hounsfield units between the sCT and corresponding patient CT (within the body contour) was 0.6 +/- 14.7 (mean +/- 1 SD), with a mean absolute error of 40.5 +/- 8.2 Hounsfield units. Automatic contouring results were very close to the expert interobserver level (Dice similarity coefficient): prostate 0.80 +/- 0.08, bladder 0.86 +/- 0.12, rectum 0.84 +/- 0.06, bones 0.91 +/- 0.03, and body 1.00 +/- 0.003. The change in monitor units between the sCT-based plans relative to the gold standard CT plan for the same dose prescription was found to be 0.3% +/- 0.8%. The 3-dimensional gamma pass rate was 1.00 +/- 0.00 (2 mm/2%). Conclusions: The MR-Sim setup and automatic sCT generation methods using standard MR sequences generates realistic contours and electron densities for prostate cancer radiation therapy dose planning and digitally reconstructed radiograph generation. Crown Copyright (C) 2015 Published by Elsevier Inc. All rights reserved.
引用
收藏
页码:1144 / 1153
页数:10
相关论文
共 43 条
[1]   Combination Strategies in Multi-Atlas Image Segmentation: Application to Brain MR Data [J].
Artaechevarria, Xabier ;
Munoz-Barrutia, Arrate ;
Ortiz-de-Solorzano, Carlos .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2009, 28 (08) :1266-1277
[2]   Radiotherapy treatment planning of brain tumours using MRI alone [J].
Beavis, AW ;
Gibbs, P ;
Dealey, RA ;
Whitton, VJ .
BRITISH JOURNAL OF RADIOLOGY, 1998, 71 (845) :544-548
[3]   MRI-Based Attenuation Correction for Hybrid PET/MRI Systems: A 4-Class Tissue Segmentation Technique Using a Combined Ultrashort-Echo-Time/Dixon MRI Sequence [J].
Berker, Yannick ;
Franke, Jochen ;
Salomon, Andre ;
Palmowski, Moritz ;
Donker, Henk C. W. ;
Temur, Yavuz ;
Mottaghy, Felix M. ;
Kuhl, Christiane ;
Izquierdo-Garcia, David ;
Fayad, Zahi A. ;
Kiessling, Fabian ;
Schulz, Volkmar .
JOURNAL OF NUCLEAR MEDICINE, 2012, 53 (05) :796-804
[4]   Attenuation Correction Synthesis for Hybrid PET-MR Scanners: Application to Brain Studies [J].
Burgos, Ninon ;
Cardoso, M. Jorge ;
Thielemans, Kris ;
Modat, Marc ;
Pedemonte, Stefano ;
Dickson, John ;
Barnes, Anna ;
Ahmed, Rebekah ;
Mahoney, Colin J. ;
Schott, Jonathan M. ;
Duncan, John S. ;
Atkinson, David ;
Arridge, Simon R. ;
Hutton, Brian F. ;
Ourselin, Sebastien .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2014, 33 (12) :2332-2341
[5]   Toward Implementing an MRI-Based PET Attenuation-Correction Method for Neurologic Studies on the MR-PET Brain Prototype [J].
Catana, Ciprian ;
van der Kouwe, Andre ;
Benner, Thomas ;
Michel, Christian J. ;
Hamm, Michael ;
Fenchel, Matthias ;
Fischl, Bruce ;
Rosen, Bruce ;
Schmand, Matthias ;
Sorensen, A. Gregory .
JOURNAL OF NUCLEAR MEDICINE, 2010, 51 (09) :1431-1438
[6]   Patient Specific Prostate Segmentation in 3-D Magnetic Resonance Images [J].
Chandra, Shekhar S. ;
Dowling, Jason A. ;
Shen, Kai-Kai ;
Raniga, Parnesh ;
Pluim, Josien P. W. ;
Greer, Peter B. ;
Salvado, Olivier ;
Fripp, Jurgen .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2012, 31 (10) :1955-1964
[7]   Dosimetric evaluation of MRI-based treatment planning for prostate cancer [J].
Chen, L ;
Price, RA ;
Nguyen, TB ;
Wang, L ;
Li, JS ;
Qin, L ;
Ding, M ;
Palacio, E ;
Ma, CM ;
Pollack, A .
PHYSICS IN MEDICINE AND BIOLOGY, 2004, 49 (22) :5157-5170
[8]   MRI-based treatment planning for radiotherapy: Dosimetric verification for prostate IMRT [J].
Chen, LL ;
Price, RA ;
Wang, L ;
Li, JS ;
Qin, LH ;
McNeeley, S ;
Ma, CMC ;
Freedman, GM ;
Pollack, A .
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2004, 60 (02) :636-647
[9]   Feasibility and limitations of bulk density assignment in MRI for head and neck IMRT treatment planning [J].
Chin, Alexander L. ;
Lin, Alexander ;
Anamalayil, Shibu ;
Teo, Boon-Keng Kevin .
JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, 2014, 15 (05) :100-111
[10]  
Dowling J., 2013, Insight J, V1, P1