2D-3D registration for brain radiation therapy using a 3D CBCT and a single limited field-of-view 2D kV radiograph

被引：0

作者：

Munbodh, R. ^{[1
]}

Moseley, D. J. ^{[2
]}

机构：

[1] Univ Penn, Sch Med, Dept Radiat Oncol, Philadelphia, PA 19104 USA

[2] Princess Margaret Hosp, Radiat Med Program, Toronto, ON, Canada

来源：

XVII INTERNATIONAL CONFERENCE ON THE USE OF COMPUTERS IN RADIATION THERAPY (ICCR 2013) | 2014年 / 489卷

关键词：

PATIENT SETUP; X-RAY; IMAGE; CT;

D O I：

10.1088/1742-6596/489/1/012037

中图分类号：

O59 [应用物理学];

学科分类号：

摘要：

We report results of an intensity-based 2D-3D rigid registration framework for patient positioning and monitoring during brain radiotherapy. We evaluated two intensity-based similarity measures, the Pearson Correlation Coefficient (ICC) and Maximum Likelihood with Gaussian noise (MLG) derived from the statistics of transmission images. A useful image frequency band was identified from the bone-to-no-bone ratio. Validation was performed on gold-standard data consisting of 3D kV CBCT scans and 2D kV radiographs of an anthropomorphic head phantom acquired at 23 different poses with parameter variations along six degrees of freedom. At each pose, a single limited field of view kV radiograph was registered to the reference CBCT. The ground truth was determined from markers affixed to the phantom and visible in the CBCT images. The mean (and standard deviation) of the absolute errors in recovering each of the six transformation parameters along the x, y and z axes for ICC were phi(x): 0.08(0.04)degrees, phi(y): 0.10(0.09)degrees, phi(z): 0.03(0.03)degrees, t(x): 0.13(0.11) mm, t(y): 0.08(0.06) mm and t(z): 0.44(0.23) mm. For MLG, the corresponding results were phi(x): 0.10(0.04)degrees, phi(y): 0.10(0.09)degrees, phi(z): 0.05(0.07)degrees, t(x): 0.11(0.13) mm, t(y): 0.05(0.05) mm and t(z): 0.44(0.31) mm. It is feasible to accurately estimate all six transformation parameters from a 3D CBCT of the head and a single 2D kV radiograph within an intensity-based registration framework that incorporates the physics of transmission images.

引用

页数：4

共 12 条

[1] Entropy-based dual-portal-to-3-DCT registration incorporating pixel correlation [J].

Bansal, R ;

Staib, LH ;

Chen, Z ;

Rangarajan, A ;

Knisely, J ;

Nath, R ;

Duncan, JS .

IEEE TRANSACTIONS ON MEDICAL IMAGING, 2003, 22 (01) :29-49

[2] Patient setup error measurement using 3D intensity-based image registration techniques [J].

Clippe, S ;

Sarrut, D ;

Malet, C ;

Miguet, S ;

Ginestet, C ;

Carrie, C .

INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2003, 56 (01) :259-265

[3]

Fu D, 2005, SPIE, V5744, P1605

[4] Automatic three-dimensional inspection of patient setup in radiation therapy using portal images, simulator images, and computed tomography data [J].

Gilhuijs, KGA ;

vandeVen, PJH ;

vanHerk, M .

MEDICAL PHYSICS, 1996, 23 (03) :389-399

[5] Intensity-based image registration using robust correlation coefficients [J].

Kim, J ;

Fessler, JA .

IEEE TRANSACTIONS ON MEDICAL IMAGING, 2004, 23 (11) :1430-1444

[6] A feasibility study of mutual information based setup error estimation for radiotherapy [J].

Kim, J ;

Fessler, JA ;

Lam, KL ;

Balter, JM ;

Ten Haken, RK .

MEDICAL PHYSICS, 2001, 28 (12) :2507-2517

[7] A PATIENT-TO-COMPUTED-TOMOGRAPHY IMAGE REGISTRATION METHOD BASED ON DIGITALLY RECONSTRUCTED RADIOGRAPHS [J].

LEMIEUX, L ;

JAGOE, R ;

FISH, DR ;

KITCHEN, ND ;

THOMAS, DGT .

MEDICAL PHYSICS, 1994, 21 (11) :1749-1760

[8] Gradient-based 2-D/3-D rigid registration of fluoroscopic X-ray to CT [J].

Livyatan, H ;

Yaniv, Z ;

Joskowicz, L .

IEEE TRANSACTIONS ON MEDICAL IMAGING, 2003, 22 (11) :1395-1406

[9]

Munbodh R., 2004, THESIS

[10] Automated 2D-3D registration of a radiograph and a cone beam CT using line-segment enhancement [J].

Munbodh, Reshma ;

Jaffray, David A. ;

Moseley, Douglas J. ;

Chen, Zhe ;

Knisely, Jonathan P. S. ;

Cathier, Pascal ;

Duncan, James S. .

MEDICAL PHYSICS, 2006, 33 (05) :1398-1411

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