Improving Soft-Tissue Contrast in Four-Dimensional Computed Tomography Images of Liver Cancer Patients Using a Deformable Image Registration Method

He Wang1, Sunil Krishnan2, Xiaochun Wang1, A. Sam Beddar1, Tina M. Briere1, Christopher H. Crane2, Radhe Mohan1, Lei Dong1
1Department of Radiation Physics, The University of Texas M. D. Anderson Cancer Center, Houston, TX
2Department of Radiation Oncology, The University of Texas M.D. Anderson Cancer Center, Houston, TX

Tài liệu tham khảo

Shirato, 2000, Four-dimensional treatment planning and fluoroscopic real-time tumor tracking radiotherapy for moving tumor, Int J Radiat Oncol Biol Phys, 48, 435, 10.1016/S0360-3016(00)00625-8 Rietzel, 2005, Four-dimensional image-based treatment planning: Target volume segmentation and dose calculation in the presence of respiratory motion, Int J Radiat Oncol Biol Phys, 61, 1535, 10.1016/j.ijrobp.2004.11.037 Keall, 2004, 4-dimensional computed tomography imaging and treatment planning, Semin Radiat Oncol, 14, 81, 10.1053/j.semradonc.2003.10.006 Keall, 2005, Four-dimensional radiotherapy planning for DMLC-based respiratory motion tracking, Med Phys, 32, 942, 10.1118/1.1879152 Keall, 2004, Monte Carlo as a four-dimensional radiotherapy treatment-planning tool to account for respiratory motion, Phys Med Biol, 3639, 10.1088/0031-9155/49/16/011 Zhang, 2004, Treatment plan optimization incorporating respiratory motion, Med Phys, 31, 1576, 10.1118/1.1739672 Balter, 2002, Daily targeting of intrahepatic tumors for radiotherapy, Int J Radiat Oncol Biol Phys, 52, 266, 10.1016/S0360-3016(01)01815-6 Brock, 2003, Automated generation of a four-dimensional model of the liver using warping and mutual information, Med Phys, 30, 1128, 10.1118/1.1576781 Rosu, 2003, Alterations in normal liver doses due to organ motion, Int J Radiat Oncol Biol Phys, 57, 1472, 10.1016/j.ijrobp.2003.08.025 Dawson, 2005, Accuracy of daily image guidance for hypofractionated liver radiotherapy with active breathing control, Int J Radiat Oncol Biol Phys, 62, 1247, 10.1016/j.ijrobp.2005.03.072 Li, 2005, Radiation dose reduction in four-dimensional computed tomography, Med Phys, 32, 3650, 10.1118/1.2122567 Cohnen, 2000, CT of the head by use of reduced current and kilovoltage: Relationship between image quality and dose reduction, Am J Neuroradiol, 21, 1654 Kalra, 2002, Clinical comparison of standard-dose and 50% reduced-dose abdominal CT: Effect on image quality, AJR Am J Roentgenol, 179, 1101, 10.2214/ajr.179.5.1791101 Lucaya, 2000, Low-dose high-resolution CT of the chest in children and young adults: Dose, cooperation, artifact incidence, and image quality, AJR Am J Roentgenol, 175, 985, 10.2214/ajr.175.4.1750985 Wang, 2005, Validation of an accelerated ‘demons’ algorithm for deformable image registration in radiation therapy, Phys Med Biol, 50, 2887, 10.1088/0031-9155/50/12/011 Lu, 2006, Automatic re-contouring in 4D radiotherapy, Phys Med Biol, 51, 1077, 10.1088/0031-9155/51/5/002 Lu, 2004, Fast free-form deformable registration via calculus of variations, Phys Med Biol, 49, 3067, 10.1088/0031-9155/49/14/003 Judy, 1976, The line spread function and modulation transfer function of a computed tomographic scanner, Med Phys, 3, 233, 10.1118/1.594283 Boone, 2001, Determination of the presampled MTF in computed tomography, Med Phys, 28, 356, 10.1118/1.1350438 Burns P. Slant Edge Analysis Tool. Available at http://www.i3a.org/wp-content/uploads/2008/03/resource_order_form.pdf. Accessed on May 30, 2008. Chambers, 1994, Hepatic CT enhancement. Part I. Alterations in the volume of contrast material within the same patients, Radiology, 193, 513, 10.1148/radiology.193.2.7972770 Kim, 2000, Hepatic tumors: Contrast agent-enhancement patterns with pulse-inversion harmonic US, Radiology, 216, 411, 10.1148/radiology.216.2.r00jl21411 Maki, 1985, Image enhancement in computerized tomography for sensitive diagnosis of liver cancer and semiquantitation of tumor selective drug targeting with oily contrast medium, Cancer, 56, 751, 10.1002/1097-0142(19850815)56:4<751::AID-CNCR2820560409>3.0.CO;2-Y Lu, 2003, Neuro-fuzzy synergism to the intelligent system for edge detection and enhancement, Pattern Recognition, 36, 2395, 10.1016/S0031-3203(03)00083-9 Gonzalez, 1992 Yang, 1997, CT image enhancement with wavelet analysis for the detection of small airways disease, IEEE Trans Med Imaging, 16, 953, 10.1109/42.650893 Kretowski, 2003, Physiologically based modeling of 3-D vascular networks and CT scan angiography, IEEE Trans Med Imaging, 22, 248, 10.1109/TMI.2002.808357 Schreibmann, 2006, Image interpolation in 4D CT using a BSpline deformable registration model, Int J Radiat Oncol Biol Phys, 64, 1537, 10.1016/j.ijrobp.2005.11.018 Coselmon, 2004, Mutual information based CT registration of the lung at exhale and inhale breathing states using thin-plate splines, Med Phys, 31, 2942, 10.1118/1.1803671 Brock, 2005, Accuracy of finite element model-based multi-organ deformable image registration, Med Phys, 32, 1647, 10.1118/1.1915012 Wang, 2005, Automatic contour delineation on subsequent CT images using deformable registration, Med Phys, 32, 10.1118/1.1998352 Zhao, 2007, Evaluation of respiratory-induced target motion for esophageal tumors at the gastroesophageal junction, Radiother Oncol, 84, 283, 10.1016/j.radonc.2007.07.008 Xi, 2007, Defining internal target volume (ITV) for hepatocellular carcinoma using four-dimensional CT, Radiother Oncol, 84, 272, 10.1016/j.radonc.2007.07.021