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Radiation Oncology - Atlas & Adaptive Timesavings

  • 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.
  • Ennis RD, Young AV, Wernick I, Evans AE. Increased Consistency and Time Savings for Delineation of Pelvic Lymph Nodes for Adjuvant Therapy of Endometrial Cancer. International Journal of Radiation Oncology * Biology * Physics. 1 November 2009 (Vol. 75, Issue 3, Supplement, Page S367).
  • Harrison AS, Piper JW, Kubicek G, Valicenti RK, Dicker AP, Galvin JM, Xiao Y. Feasibility Study of Atlas-Based IMRT Planning - What is the Accuracy if We Used the Best Matched IMRT Plan that We Apply Directly? IJROBP. 2008; 72(1) Suppl: S555.
  • 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.
  • 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.
  • Choe J, Piper JW, Nelson AS, Nelson AD, Kuc N, Kulasekere R, Greskovich J. Comparison of Contour-to-CT Registration Techniques During Adaptive Re-planning of Radiation Therapy for Patients with Bulky Disease. IJROBP. 2007;69(3 Suppl S):S725.
  • 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.

Radiation Oncology - PET Tools

  • 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 AS, Werner-Wasik M, Choi W et al. PET Tumor Segmentation: Multi-disciplinary Validation of a Gradient-based Method Using a NSCLC PET Phantom. J Nucl Med. 2010; 51 (Supplement 2):24.
    For additional information on Contouring Lung Tumors on PET Scans, see the in-depth manuscript available (with subscription) from the IJROBP or read the abstract summary.
  • Nelson D, et al. PET Tumor Segmentation: Multi-observer Validation of a Gradient-based Method Using a NSCLC PET Phantom. IJROBP. 2009;75(3)Suppl:S627.
  • 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. Accepted for presentation at the World Conference on Lung Cancer Meeting in 2009.
  • Piper J, Shen G, Nelson AD, Nelson AS. Partial Volume Correction in PET Images: a Single Correction Method Applied for Multiple Source to Background Ratios. Med Phys 2009; 36(6):2455.
  • Nelson AD, Brockway KD, Nelson AS, Piper JW. PET Tumor Segmentation: Validation of a Gradient-based Method Using a NSCLC PET Phantom. J Nucl Med. 2009; 50 (Supplement 2):1659
  • 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.
  • Nelson AD, Mehta L, Faulhaber PF, Devlin AL, O’Donnell JK. Automated Alignment Accuracy of FDG-PET and Simulation CT for Radiation Therapy Planning of Lung Cancer. J Nuc Med 45:5, 373p, 2004.
  • Shen G, Nelson D, Adler L. PET Tumor Segmentation: Comparison of Gradient-Based Algorithm to Constant Threshold Algorithm. Medical Physics June 2007; 34(6):2395.

Radiation Oncology - Deformable Registration

Radiology/Nuclear Medicine

Neuroimaging