Visibility of Internal Target Volume of Dynamic Tumors in Free-breathing Cone-beam Computed Tomography for Image Guided Radiation Therapy

220 This project is partially supported by the Clinical & Translational Research Institute Pilot Innovative Technology Grant provided through the University of California San Diego. There are no conflicts of interest for the remaining authors. Submitted November, 5, 2013, Accepted December, 5, 2013 Corresponding Author: William Y. Song, Center for Advanced Radiotherapy Technologies and Department of Radiation Medicine and Applied Sciences, University of California San Diego, Rebecca and John Moores Comprehensive Cancer Center, 3855 Health Sciences Drive #0843, La Jolla, CA 92093-0843, USA Tel: 1-858-246-0886, Fax: 1-858-822-5568 E-mail: wysong@ucsd.edu Visibility of Internal Target Volume of Dynamic Tumors in Free-breathing Cone-beam Computed Tomography for Image Guided Radiation Therapy

[1]  Thorsten M. Buzug Computed Tomography: From Photon Statistics to Modern Cone-Beam CT , 2010 .

[2]  G. Christensen,et al.  A method for the reconstruction of four-dimensional synchronized CT scans acquired during free breathing. , 2003, Medical physics.

[3]  L Xing,et al.  Motion correction for improved target localization with on-board cone-beam computed tomography , 2006, Physics in medicine and biology.

[4]  Jiang Hsieh,et al.  Computed Tomography: Principles, Design, Artifacts, and Recent Advances, Fourth Edition , 2022 .

[5]  George Starkschall,et al.  Displacement-based binning of time-dependent computed tomography image data sets. , 2006, Medical physics.

[6]  M. V. van Herk,et al.  Respiratory correlated cone beam CT. , 2005, Medical physics.

[7]  Suresh Senan,et al.  Four-dimensional CT scans for treatment planning in stereotactic radiotherapy for stage I lung cancer. , 2004, International journal of radiation oncology, biology, physics.

[8]  Jonathan G. Li,et al.  Tumor localization using cone-beam CT reduces setup margins in conventionally fractionated radiotherapy for lung tumors. , 2009, International journal of radiation oncology, biology, physics.

[9]  P. Keall 4-dimensional computed tomography imaging and treatment planning. , 2004, Seminars in radiation oncology.

[10]  Jeffrey A Fessler,et al.  Mean position tracking of respiratory motion. , 2008, Medical physics.

[11]  Takeshi Nakaura,et al.  Abdominal CT with low tube voltage: preliminary observations about radiation dose, contrast enhancement, image quality, and noise. , 2005, Radiology.

[12]  Geoffrey Hugo,et al.  Image-guided radiotherapy via daily online cone-beam CT substantially reduces margin requirements for stereotactic lung radiotherapy. , 2007, International journal of radiation oncology, biology, physics.

[13]  Shuichi Ozawa,et al.  A dose comparison study between XVI and OBI CBCT systems. , 2008, Medical physics.

[14]  Bo Lu,et al.  Deep-inspiration breath-hold kilovoltage cone-beam CT for setup of stereotactic body radiation therapy for lung tumors: initial experience. , 2007, Lung cancer.

[15]  R. Mohan,et al.  Acquiring a four-dimensional computed tomography dataset using an external respiratory signal. , 2003, Physics in medicine and biology.

[16]  Timothy D. Solberg,et al.  Phase versus amplitude sorting of 4D‐CT data , 2006, Journal of applied clinical medical physics.

[17]  Uwe Oelfke,et al.  Correction of Patient Positioning Errors based on In-Line Cone Beam CTs: Clinical Implementation and First Experiences , 2005 .

[18]  Fang-Fang Yin,et al.  Potential underestimation of the internal target volume (ITV) from free-breathing CBCT. , 2011, Medical physics.

[19]  Fang-Fang Yin,et al.  Physics and imaging for targeting of oligometastases. , 2006, Seminars in radiation oncology.

[20]  David A Jaffray,et al.  Cone-beam computed tomography for on-line image guidance of lung stereotactic radiotherapy: localization, verification, and intrafraction tumor position. , 2007, International journal of radiation oncology, biology, physics.

[21]  J. Hsieh Adaptive streak artifact reduction in computed tomography resulting from excessive x-ray photon noise. , 1998, Medical physics.

[22]  D. Low,et al.  A comparison between amplitude sorting and phase-angle sorting using external respiratory measurement for 4D CT. , 2006, Medical physics.

[23]  L. Xing,et al.  Optimizing 4D cone-beam CT acquisition protocol for external beam radiotherapy. , 2007, International journal of radiation oncology, biology, physics.

[24]  Fang-Fang Yin,et al.  A technique of using gated-CT images to determine internal target volume (ITV) for fractionated stereotactic lung radiotherapy. , 2006, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[25]  Fang-Fang Yin,et al.  Integration of Cone-Beam CT in Stereotactic Body Radiation Therapy , 2008, Technology in cancer research & treatment.