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Piper JW. Evaluation of An Intensity-Based Free-form Deformable Registration Algorithm. Medical Physics. June 2007;34(6):2353-2354.
Nelson AS, Duchateau M, Piper JW, Verellen D, De Ridder M. Evaluation of a Free-Form Intensity Based Deformable Registration Method Using the POPI Model. Med Phys 2014; 41:202.
Pirozzi S, Piper J, Nelson A, Duchateau M, Verellen D, De Ridder M. A Novel Framework for Deformable Registration Evaluation and Quality Assurance. IJROBP 2013; 87(2):S719.
Pirozzi S, Piper J, Nelson A, Duchateau M, Verellen D, De Ridder M. A Novel Framework for User-Intervened Correction of Deformable Registration. IJROBP 2013; 87(2):S144.
Nelson AS, Duchateau M, Piper WJ, Verellen D, De Ridder M. Deformable Dose Mapping Accuracy Using a Framework for User-Intervened Correction of Deformable Registration. Med Phys 2014; 41:207.
Fogh SE, Kubicek GJ, Axelrod R, Keane WM, Piper JW, Xiao Y, Machtay M. Utility of Deformable PET Fusion Gross Tumor Volumes in Head & Neck Malignancies. ASTRO Translational Advances in Radiation Oncology and Cancer Imaging 2008 Poster Presentation.
Piper JW. Evaluation of a CT to Cone-Beam CT Deformable Registration Algorithm. IJROBP. 2007;69(3 Suppl S):S418-419.
Nelli Flavio Enrico, Harwood Jeffrey Roy. A method for assessing the dosimetric consistency of single phase 4DCT dose accumulation based on deforming image registration. Physica Medica September 2016; 32(3):275.
Jason Pukala, Perry B. Johnson, Amish P. Shah, Katja M. Langen, Frank J. Bova, Robert J. Staton, Rafael R. Mañon, Patrick Kelly, and Sanford L. Meeks. Benchmarking of five commercial deformable image registration algorithms for head and neck patients. Journal of Applied Clinical Medical Physics, VOLUME 17, NUMBER 3, 2016.
Perry B. Johnson, Kyle R. Padgett, Kuan L. Chen, Nesrin Dogan. Evaluation of the tool "Reg Refine" for user-guided deformable image registration. Journal of Applied Clinical Medical Physics, VOLUME 17, NUMBER 3, 2016. *Some details about the deformation algorithm are incorrect and will be corrected in a future correction in the journal.
Piper JW, Nelson AS, Harper J. Deformable Image Registration in MIM Maestro® Evaluation and Description March 2018 (White Paper)
Nelson AD. Validation of Manual and Assisted Alignment Techniques June 2018 (White Paper)
Hu, K, Surapaneni, A. Value of Kilovoltage Cone Beam CT (CBCT) to Track Dose in the Adaptive Radiation Treatment of Head and Neck Cancer. RSNA 2008 Scientific Assembly and Annual Meeting, Feb 18 - Feb 20, 2008, Chicago IL.
Pirozzi S, Piper J, Nelson A, Shen Z, Gardner S. Evaluation of Deformable Prostate Cone-Beam Computed Tomography (CBCT) Contouring Methods for Adaptive Radiation Therapy. IJROBP 2013; 87(2):S719.
Liu H, Greskovich J, Koyfman S, Xia P. Evaluation of Volumetric Change and Dosimetric Discrepancy with Daily Cone-Beam CT for Patients with Head-and-Neck Cancer. Med Phys 2012; 39:3782.
Pukala J, Staton R, Langen K. What is the Importance of Dose Recalculation for Adaptive Radiotherapy Dose Assessment? Med Phys 2012; 39:3699.
Ferjani S, Huang G, Shang Q, Xia P. Using Shifting Planned Dose Matrix to Evaluate Daily Dose Changes for IMRT Prostate Treatment. Med Phys 2012; 39:3659.
Li W, Vassil A, Zhong Y, Xia P. Evaluation of Atlas-Based Auto-Segmentation on Daily In-Room CT for Prostate Cancer. Med Phys 2012; 39:3676.
Fragoso RC, Piper JW, Nelson AS, Harrison AS, Machtay M, Xiao Y. Evaluation of a Deformable Re-Contouring Method for Adaptive Therapy. ACRO Annual Meeting 2008 Poster Presentation.
Dyess A, Seuntjens J, Poon E, Parker W. Dosimetric Assessment of Treatment using CBCT Images. Med Phys 2012; 39:3700.
Su F, Chen Z, Nath R. A Dosimetric Assessment of Rectum and Bladder Using Deformable Registration in Image-guided Adaptive Prostate IMRT. Med Phys 2011; 38: 3448.
Poon E, Al-Wassia R, Freeman C, Parker W. Dosimetric Impact of Positioning and Anatomical Changes over the Course of Craniospinal Irradiation using Helical TomoTherapy. Med Phys 2011; 38:3451.
Louise S. H. Bendall, Maria Najim, Rachel Stensmyr, Emily Flower, Shan Yau, David I. Thwaites & Jonathan R. Sykes (2015) Performance evaluation of head and neck contour adaptation with cone beam CT using two commercial software systems. Acta Oncologica, 54:9, 1693-1697.
Christian A. Hvid, Ulrik V. Elstrøm, Kenneth Jensen, Markus Alber & Cai Grau (2016): Accuracy of software-assisted contour propagation from planning CT to cone beam CT in head and neck radiotherapy. Acta Oncologica.
La Macchia, M., Fellin, F., Amichetti, M. et al. Systematic evaluation of three different commercial software solutions for automatic segmentation for adaptive therapy in head-and-neck, prostate and pleural cancer. Radiat Oncol 7, 160 (2012).
Atlas Segmentation and Post-Processing
Hu J, Master Z, Ng YY, Yap J. Potential Improvements of Planning Workflow by Automatic Generation of Planning Support Structures for Nasopharyngeal Carcinoma (NPC) Treatment Planning. AAMD Annual Meeting 2015 Poster Presentation.
Mariangela La Macchia, Francesco Fellin, Maurizio Amichetti, Marco Cianchetti, Stefano Gianolini, Vitali Paola, Antony J Lomax, Lamberto Widesott. Systematic Evaluation of Three Different Commercial Software Solutions for Automatic Segmentation for Adaptive Therapy in Head-and-Neck, Prostate and Pleural Cancer. Radiation Oncology 2012, 7:160.
Nelson AS, Brockway J, Liu M, Javorek A, Pirozzi S, Piper JW. Evaluation of an Atlas-Based Segmentation Method for Prostate MRI. IJROBP 2014; 90(1):S419-420.
Patel RB, Traughber B, Kaminsky D, et al. Evaluation of an Atlas-Based Segmentation Method for High Risk Prostate Cancer with RTOG Defined Pelvic Lymph Node. IJROBP 2014; 90(1):S74-75.
Nelson AS, Piper JW, Javorek AR, Pirozzi SD, Lu M. Comparison of Two Atlas-Based Segmentation Methods for Head and Neck Cancer Including RTOG-Defined Lymph Node Levels. IJROBP 2014; 90(1):S882.
Horvat M, Nelson AS, Pirozzi SD. Time Savings of a Multi-Atlas Approach for Liver Segmentation. J Nucl Med. 2014; 55 (Supplement 1):1523.
Hu K, Lin A, Young A, Kubicek G, Piper JW, Nelson AS, Dolan J, Masino R, Machtay M. Timesavings for Contour Generation in Head and Neck IMRT: Multi-Institutional Experience with an Atlas-Based Segmentation Method. IJROBP. 2008; 72(1) Suppl: S391.
Lin A, Kubicek G, Piper JW, Nelson AS, Dicker AP, Valicenti RK. Atlas-Based Segmentation in Prostate IMRT: Timesavings in the Clinical Workflow. IJROBP. 2008; 72(1) Suppl: S328-329.
Ennis RD, Young AV, Wernick I, Evans AE. Atlas-Based Segmentation Improves Consistency and Decreases Time Required for Contouring Postoperative Endometrial Cancer Nodal Volumes. International Journal of Radiation Oncology * Biology * Physics. 1 November 2009 (Vol. 75, Issue 3, Supplement, Page S367).
Pirozzi SD, Horvat M, Nelson AS, Piper JW. Atlas-based Segmentation: Evaluation of a Multi-Atlas Approach for Prostate Cancer. Accepted for Presentation at the ASTRO Annual Meeting 2012.
Pirozzi S, Horvat M, Piper J, Nelson AS. Atlas-based Segmentation: Evaluation of a Multi-Atlas Approach for Lung Cancer. Med Phys 2012; 39:3677.
Pirozzi SD, Nelson AS, Piper JW. Atlas-based Segmentation: Comparison of Multiple Segmentation Approaches for Lymph Level Targets and Normal Structures in Head and Neck Cancer. International Journal of Radiation Oncology * Biology * Physics 1 October 2011 (Vol.81, Issue 2, Supplement, Page S828).
Landau E, Hu K, Oppenheimer A, Skinner WKJ, Young A, Piper JW, Kalnicki S, Harrison LB. Automatic Contouring of Vital Swallowing Structures Using an Atlas-based Segmentation Method: A Time Saving and Toxicity Assessment. Accepted for Presentation at the ASTRO Annual Meeting 2009.
Rohren EM, Etchebehere EC, Araujo JC, Hobbs BP, Swanston NM, Everding M, Moody T, Macapinlac HA. Determination of Skeletal Tumor Burden on 18F-Fluoride PET/CT. J Nucl Med. 2015; 56:1507-1512.
Obara P, Liu H, Wroblewski K, et al. Quantification of metabolic tumor activity and burden in patients with non-small-cell: Is manual adjustment of semi-automatic gradient-based measurements necessary? Nucl Med Commun 2015; 36(8):782-9.
Zhang G, Han D, Ma C, Lu J, Sun T, Liu T, Zhu J, Zhou J, Yin Y. Gradient-based Delineation of the Primary GTV on FLT PET in Squamous Cell Cancer of the Thoracic Esophagus and Impact on Radiotherapy Planning. Radiation Oncology 2015, 10:11.
Sridhar P, Mercier G, Tan J, Truong MT, Daly B, Subramaniam RM. FDG PET Metabolic Tumor Volume Segmentation and Pathologic Volume of Primary Human Solid Tumors. AJR Am J Roentgenol 2014; 202(5):1114-9.
Nelson AS, Faulhaber PF, Pirozzi SD, Harper JW, Piper JW. Comparison of Gradient PET Segmentation from a Multi-Modality PET/CT Measurement Tool to Gradient PET Segmentation Alone. J Nucl Med. 2014; 55 (Supplement 1):1522.
Werner-Wasik M, Nelson D, Choi W, Arai Y, Faulhaber P, Kang P, Almeida F, Xiao Y, Ohri N, Brockway K, Piper J, Nelson A. What is the Best Way to Contour Lung Tumors on PET Scans: Multi-Observer Validation of a Gradient-Based Method Using a NSCLC Digital PET Phantom. IJROBP 2012; 82(3):1164-1171.
Fogh S, Karancke J, Nelson AS, McCue P, Axelrod R, Werner-Wasik W. Pathologic Correlation of PET-CT Based Auto-Contouring for Radiation Planning in Lung Cancer. Presented at the World Conference on Lung Cancer Meeting in 2009.
Werner-Wasik M, Kang P, Choi W, Ohri N, Faulhaber P, Nelson D, Nelson A, Piper J, Shen Z, Pirozzi S. Comparison of PET Contouring Methods in Patients With Early-Stage Resected Non-Small Cell Lung Cancer (NSCLC): A Pathologic-Imaging Correlation IJROBP 2013; 87(2):S540.
Nelson AS, Werner-Wasik M, Choi W, et al. Evaluation of Gradient PET Segmentation for Total Lesion Glycolysis Compared to Thresholds and Manual Contouring. J Nucl Med. 2011; 52 (Supplement 1):2077.
Nelson AD, Nelson AS. Tissue Segmentation in PET Image Volumes June 2018 (White Paper)
Lawell MP, Indelicato DJ, Paulino AC, et al. An open invitation to join the Pediatric Proton/Photon Consortium Registry to standardize data collection in pediatric radiation oncology. Br J Radiol 2019; 92: 20190673.
Deep Learning Auto-Contouring
C Halley*, H Wan, A Kruzer, D Pittock, D Darkow, M Butler, N Cole, M Bending, P Jacobs, AS Nelson. Improved Auto-Segmentation for CT Male Pelvis: Comparison of Deep Learning to Traditional Atlas Segmentation Methods. 2020 Joint AAPM | COMP Virtual Meeting Poster Presentation.
NM Cole*, H Wan, J Niedbala, YK Dewaraja, A Kruzer, D Pittock, C Halley, AS Nelson. Impact of a 3D Convolution Neural Network Method On Liver Segmentation: An Accuracy and Time-Savings Evaluation. 2020 Joint AAPM | COMP Virtual Meeting Poster Presentation.
A Kruzer*, H Wan, M Bending, C Halley, D Darkow, D Pittock, N Cole, P Jacobs, AS Nelson. Comparison of a 3D Convolutional Neural Network Segmentation Method to Traditional Atlas Segmentation for CT Head and Neck Contours. 2020 Joint AAPM | COMP Virtual Meeting Poster Presentation.
Biological Effective Dose
Jacobs P, Nelson AS, Liu I. Biological Effective Dose and Tumor Control Probability Modeling January 2022 (White Paper)