Publications

Evaluation of An Intensity-Based Free-Form Deformable Registration Algorithm.

Piper JW.

Evaluation of a Free-Form Intensity Based Deformable Registration Method Using the POPI Model

Nelson AS, Duchateau M, Piper JW, Verellen D, De Ridder M.

A Novel Framework for Deformable Registration Evaluation and Quality Assurance.

Pirozzi S, Piper J, Nelson A, Duchateau M, Verellen D, De Ridder M.

A Novel Framework for User-Intervened Correction of Deformable Registration.

Pirozzi S, Piper J, Nelson A, Duchateau M, Verellen D, De Ridder M.

Deformable Dose Mapping Accuracy Using a Framework for User-Intervened Correction of Deformable Registration.

Nelson AS, Duchateau M, Piper WJ, Verellen D, De Ridder M.

Utility of Deformable PET Fusion Gross Tumor Volumes in Head & Neck Malignancies.

Fogh SE, Kubicek GJ, Axelrod R, Keane WM, Piper JW, Xiao Y, Machtay M.

Evaluation of a CT to Cone-Beam CT Deformable Registration Algorithm.

Piper JW.

A Method for Assessing the Dosimetric Consistency of Single Phase 4DCT Dose Accumulation Based on Deforming Image Registration.

Nelli Flavio Enrico, Harwood Jeffrey Roy.

Benchmarking of Five Commercial Deformable Image Registration Algorithms for Head and Neck Patients.

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.

Evaluation of the Tool "Reg Refine" for User-Guided Deformable Image Registration.

Perry B. Johnson, Kyle R. Padgett, Kuan L. Chen, Nesrin Dogan.

Deformable Image Registration in MIM Maestro^®Evaluation and Description.

Piper J, Nelson A, Harper J.  

Validation of Manual and Assisted Alignment Techniques.

Nelson AD.  

VoxAlign Deformation Engine^®

Piper JW, Richmond JH, Nelson AS.

Value of Kilovoltage Cone Beam CT (CBCT) to Track Dose in the Adaptive Radiation Treatment of Head and Neck Cancer.

Hu, K, Surapaneni, A.

Evaluation of Deformable Prostate Cone-Beam Computed Tomography (CBCT) Contouring Methods for Adaptive Radiation Therapy.

Pirozzi S, Piper J, Nelson A, Shen Z, Gardner S.

Evaluation of Volumetric Change and Dosimetric Discrepancy with Daily Cone-Beam CT for Patients with Head-and-Neck Cancer.

Liu H, Greskovich J, Koyfman S, Xia P.

What Is the Importance of Dose Recalculation for Adaptive Radiotherapy Dose Assessment?

Pukala J, Staton R, Langen K.

Using Shifting Planned Dose Matrix to Evaluate Daily Dose Changes for IMRT Prostate Treatment.

Ferjani S, Huang G, Shang Q, Xia P.

Evaluation of Atlas-Based Auto-Segmentation on Daily In-Room CT for Prostate Cancer.

Li W, Vassil A, Zhong Y, Xia P.

Evaluation of a Deformable Re-Contouring Method for Adaptive Therapy.

Fragoso RC, Piper JW, Nelson AS, Harrison AS, Machtay M, Xiao Y.

Dosimetric Assessment of Treatment Using CBCT Images.

Dyess A, Seuntjens J, Poon E, Parker W.

A Dosimetric Assessment of Rectum and Bladder Using Deformable Registration in Image-Guided Adaptive Prostate IMRT.

Su F, Chen Z, Nath R.

Dosimetric Impact of Patient Positioning and Anatomical Changes over the Course of Craniospinal Irradiation Using Helical Tomotherapy

Poon E, Al-Wassia R, Freeman C, Parker W.

Performance Evaluation of Head and Neck Contour Adaptation with Cone Beam CT Using Two Commercial Software Systems.

Louise S. H. Bendall, Maria Najim, Rachel Stensmyr, Emily Flower, Shan Yau, David I. Thwaites & Jonathan R. Sykes

Accuracy of Software-Assisted Contour Propagation from Planning CT to Cone Beam CT in Head and Neck Radiotherapy.

Christian A. Hvid, Ulrik V. Elstrøm, Kenneth Jensen, Markus Alber & Cai Grau

Systematic Evaluation of Three Different Commercial Software Solutions for Automatic Segmentation for Adaptive Therapy in Head-and-Neck, Prostate, and Pleural Cancer.

La Macchia, M., Fellin, F., Amichetti, M. et al.

Potential Improvements of Planning Workflow by Automatic Generation of Planning Support Structures for Nasopharyngeal Carcinoma (NPC) Treatment Planning.

Hu J, Master Z, Ng YY, Yap J.

Systematic Evaluation of Three Different Commercial Software Solutions for Automatic Segmentation for Adaptive Therapy in Head-and-Neck, Prostate and Pleural Cancer.

Mariangela La Macchia, Francesco Fellin, Maurizio Amichetti, Marco Cianchetti, Stefano Gianolini, Vitali Paola, Antony J Lomax, Lamberto Widesott.

Evaluation of an Atlas-Based Segmentation Method for Prostate MRI.

Nelson AS, Brockway J, Liu M, Javorek A, Pirozzi S, Piper JW.

Evaluation of an Atlas-Based Segmentation Method for High Risk Prostate Cancer with RTOG Defined Pelvic Lymph Node.

Patel RB, Traughber B, Kaminsky D, et al.

Comparison of Two Atlas-Based Segmentation Methods for Head and Neck Cancer Including RTOG-Defined Lymph Node Levels.

Nelson AS, Piper JW, Javorek AR, Pirozzi SD, Lu M.

Time Savings of a Multi-Atlas Approach for Liver Segmentation.

Horvat M, Nelson AS, Pirozzi SD.

Timesavings for Contour Generation in Head and Neck IMRT: Multi-Institutional Experience with an Atlas-Based Segmentation Method.

Hu K, Lin A, Young A, Kubicek G, Piper JW, Nelson AS, Dolan J, Masino R, Machtay M.

Atlas-Based Segmentation in Prostate IMRT: Timesavings in the Clinical Workflow.

Lin A, Kubicek G, Piper JW, Nelson AS, Dicker AP, Valicenti RK.

Atlas-Based Segmentation Improves Consistency and Decreases Time Required for Contouring Postoperative Endometrial Cancer Nodal Volumes.

Ennis RD, Young AV, Wernick I, Evans AE.

Atlas-Based Segmentation: Evaluation of a Multi-Atlas Approach for Prostate Cancer.

Pirozzi SD, Horvat M, Nelson AS, Piper JW.

Atlas-Based Segmentation: Evaluation of a Multi-Atlas Approach for Lung Cancer.

Pirozzi S, Horvat M, Piper J, Nelson AS.

Atlas-Based Segmentation: Comparison of Multiple Segmentation Approaches for Lymph Level Targets and Normal Structures in Head and Neck Cancer.

Pirozzi SD, Nelson AS, Piper JW.

Automatic Contouring of Vital Swallowing Structures Using an Atlas-based Segmentation Method: A Time Saving and Toxicity Assessment.

Landau E, Hu K, Oppenheimer A, Skinner WKJ, Young A, Piper JW, Kalnicki S, Harrison LB.

Determination of Skeletal Tumor Burden on 18F-Fluoride PET/CT.

Rohren EM, Etchebehere EC, Araujo JC, Hobbs BP, Swanston NM, Everding M, Moody T, Macapinlac HA.

Quantification of Metabolic Tumor Activity and Burden in Patients with Non-Small-Cell: Is Manual Adjustment of Semi-Automatic Gradient-Based Measurements Necessary?

Obara P, Liu H, Wroblewski K, et al.

Gradient-Based Delineation of the Primary GTV on FLT PET in Squamous Cell Cancer of the Thoracic Esophagus and Impact on Radiotherapy Planning.

Zhang G, Han D, Ma C, Lu J, Sun T, Liu T, Zhu J, Zhou J, Yin Y.

FDG PET Metabolic Tumor Volume Segmentation and Pathologic Volume of Primary Human Solid Tumors.

Sridhar P, Mercier G, Tan J, Truong MT, Daly B, Subramaniam RM.

Comparison of Gradient PET Segmentation from a Multi-Modality PET/CT Measurement Tool to Gradient PET Segmentation Alone.

Nelson AS, Faulhaber PF, Pirozzi SD, Harper JW, Piper JW.

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.

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.

Pathologic Correlation of PET-CT Based Auto-Contouring for Radiation Planning in Lung Cancer.

Fogh S, Karancke J, Nelson AS, McCue P, Axelrod R, Werner-Wasik W.

Comparison of PET Contouring Methods in Patients With Early-Stage Resected Non-Small Cell Lung Cancer (NSCLC): A Pathologic–Imaging Correlation

Werner-Wasik M, Kang P, Choi W, Ohri N, Faulhaber P, Nelson D, Nelson A, Piper J, Shen Z, Pirozzi S.

Evaluation of Gradient PET Segmentation for Total Lesion Glycolysis Compared to Thresholds and Manual Contouring.

Nelson AS, Werner-Wasik M, Choi W, et al.

Tissue Segmentation in PET Image Volumes.

Nelson AD, Nelson AS. 

Prognostic Factors in Patients Treated with 223Ra: The Role of Skeletal Tumor Burden on Baseline 18F-Fluoride PET/CT in Predicting Overall Survival.

Etchebehere EC, Araujo JC, Fox PS, Swanston NM, Macapinlac HA, Rohren EM.

Head and Neck Squamous Cell Cancers (Stages III and IV) Induction Chemotherapy Assessment: Value of FDG Volumetric Imaging Parameters.

Yu J, Cooley T, Truong MT, Mercier G, Subramaniam RM.

PET-Based Primary Tumor Volumetric Parameters and Survival of Patients with Non-Small Cell Lung Carcinoma.

Davison J, Mercier G, Russo G, Subramaniam RM.

Intra-Reader Reliability of FDG PET Volumetric Tumor Parameters: Effects of Primary Tumor Size and Segmentation Methods.

Shah B, Srivastava N, Hirsch AE, et al.

Superior Prognostic Utility of Gross and Metabolic Tumor Volume Compared to Standardized Uptake Value Using PET/CT in Head and Neck Squamous Cell Carcinoma Patients Treated with Intensity Modulated Radiotherapy.

Romesser PB, Qureshi MM, Shah BA et al.

18F-FDG Metabolic Tumor Volume and Total Glycolytic Activity of Oral Cavity and Oropharyngeal Squamous Cell Cancer: Adding Value to Clinical Staging.

Dibble EH, Alvarez AC, Truong MT, et al.

Prognostic Value of Metabolic Tumor Burden on 18FFDG PET in Nonsurgical Patients with Non-Small Cell Lung Cancer.

Liao S, Penney BC, Wroblewski K, et al.

Prognostic Value of the Quantitative Metabolic Volumetric Measurement on 18F-FDG PET/CT in Stage IV Nonsurgical Small-Cell Lung Cancer.

Liao S, Penney BC, Zhang H, et al.

Feasibility of Rapid Integrated Radiation Therapy Planning with Follow-Up FDG PET/CT to Improve Overall Treatment Assessment in Head and Neck Cancer.

Morgan R, Chin BB, Lanning R.

An Open Invitation to Join the Pediatric Proton/Photon Consortium Registry to Standardize Data Collection in Pediatric Radiation Oncology.

Lawell MP, Indelicato DJ, Paulino AC, et al.

Improved Auto-Segmentation for CT Male Pelvis: Comparison of Deep Learning to Traditional Atlas Segmentation Methods.

C Halley*, H Wan, A Kruzer, D Pittock, D Darkow, M Butler, N Cole, M Bending, P Jacobs, AS Nelson.

Impact of a 3D Convolution Neural Network Method On Liver Segmentation: An Accuracy and Time-Savings Evaluation.

NM Cole*, H Wan, J Niedbala, YK Dewaraja, A Kruzer, D Pittock, C Halley, AS Nelson. 

Comparison of a 3D Convolutional Neural Network Segmentation Method to Traditional Atlas Segmentation for CT Head and Neck Contours.

A Kruzer*, H Wan, M Bending, C Halley, D Darkow, D Pittock, N Cole, P Jacobs, AS Nelson. 

A Multicentre Comparison of Quantitative Y90 PET/CT for Dosimetric Purposes after Radioembolization with Resin Microspheres.

Willowson KP, Tapner M, The QUEST Investigator Team, Bailey DL.

Practical Reconstruction Protocol for Quantitative (90)Y Bremsstrahlung SPECT/CT.

Siman W, Mikell JK, Kappadath SC.

Time Savings of a Multi-Atlas Approach for Liver Segmentation.

Horvat M, Nelson AS, Pirozzi SD.

Time Savings for Liver Volume Generation: Comparison of Manual and Deformable Segmentation Methods.

Horvat M, Nelson AS, Piper JW, Traughber B, Faulhaber P.

The Value of 99mTc-MAA SPECT/CT for Lung Shunt Estimation in 90Y Radioembolization: a Phantom and Patient Study.

Allred JD, Niedbala J, Mikell JK, Owen D, Frey KA, Dewaraja YK.

Lung Dose Calculation with SPECT/CT for 90Yttrium Radioembolization of Liver Cancer.

Yu N, Srinivas SM, DiFilippo FP, Shrikanthan S, Levitin A, McLennan G, Spain J, Xia P, Wilkinson A.

Evaluation of a Voxel-Based Yttrium-90 (Y-90) Dose Calculation Method for Bremsstrahlung SPECT Using a Liver Phantom.

Nelson AS, Swallen Dewaraja Y.

Comparison of Voxel-Based Yttrium (Y-90) Dose Calculation Methods for Y-90 PET Using a Liver Phantom.

Nelson AS, Swallen A, Dewaraja Y.

Commissioning of Post-Treatment PET-Based Dosimetry Software for Hepatic Radioembolization with Ytrrium-90 Microspheres.

Maughan NM, Garcia-Ramierez J, Arpidone M, Swallen A, LaForest R, Goddu SM, Parikh PJ, Zoberi JE.

Effect of 90Y Self-Calibration Approaches On Absorbed Dose Quantification Following 90Y-Microsphere Selective Internal Radiation Therapy (90Y-SIRT).

Balagopal A, Kappadath S.

Dosimetry for Yttrium-90 Microsphere Brachytherapy.

Nelson AS, Swallen A, Arpidone M, Lindner A, et al.

Evaluation of an Intensity-Based Deformable Registration Algorithm for the Generation of Liver Volumes on Post Y90 PET/CT.

Lamba N, Kruzer A, Pirozzi S, Ginsburg S, Nelson AS.

Evaluation of a Free-Form Intensity Based Deformable Registration Method Using the POPI Model.

Nelson AS, Duchateau M, Piper JW, Verellen D, De Ridder M.

A Novel Framework for User-Intervened Correction of Deformable Registration.

Pirozzi S, Piper J, Nelson A, Duchateau M, Verellen D, De Ridder M.

MRT Literature Syllabus.

Individualized Dosimetry for Theranostics: Necessary, Nice to Have, or Counterproductive?

Eberlein U, Cremonesi M, and Lassmann M.

Personalized dosimetry is a must for appropriate molecular radiotherapy.

Stabin MG, Madsen MT, and Zaidi H.

The evidence base for the use of internal dosimetry in the clinical practice of molecular radiotherapy.

Strigari L, Konijnenberg M, Chiesa C, et al. 

Dosimetry for Targeted Molecular Radiotherapy

Nelson AS, Mirando D, Kruzer A, Niman R, ColeNM, and Stork T.

MIRD pamphlet No. 24:Guidelines for quantitative 131I SPECT in dosimetry applications.

Dewaraja YK, Ljungberg M, Green AJ, et al. 

Voxel-based multimodal fitting method for modeling time activity curves in SPECT images.

Sarrut D, Halty A, Badel J, et al. 

Clinical utility of a 3D convolutional neural network kidney segmentation method for radionuclide dosimetry.

Lamba N, Wan H, Kruzer A, et al. 

Quantitative SPECT / CT Reconstruction with SPECTRA TM Quant

Nelson AS and Horstman BP. 

Absolute quantification in SPECT.

Ritt P, Vija H, Hornegger J, et al. 

MIRD Pamphlet No. 23: QuantitativeSPECT for Patient-Specific 3-Dimensional Dosimetry in Internal Radionuclide Therapy.

Dewaraja YK, Frey EC, Sgouros G, et al. 

Variability in lutetium-177 SPECT quantification between different state-of-the-art SPECT/CT systems.

Peters SMB., Meyer Viol SL, van der Werf NR, et al.

Dose response of pancreatic neuroendocrine tumors treated with peptide receptor radionuclide therapy using 177Lu-DOTATATE.

Ilan E, Sandström M, Wassberg C, et al. 

Personalized 177Lu-octreotate peptide receptor radionuclide therapy of neuroendocrine tumours: initial results from the P-PRRT trial.

Del Prete M, Buteau F, Arsenault F, et al.

Personalized therapy planning for 177Lu-DOTATATE using a kidney-driven dose optimization method.

Mirando D, Dewajara YK, Kruzer A, and Nelson A.

Comparison of commercial dosimetric software platforms in patients treated with 177 Lu-DOTATATE for peptide receptor radionuclide therapy.

Mora-Ramirez E, Santoro L, Cassol E, et al. 

Individualised 177Lu-DOTATATE treatment of neuroendocrine tumours based on kidney dosimetry.

Sundlöv A, Sjögreen-Gleisner K, Svensson J, et al. 

Correlation of dose with toxicity and tumour response to 90Y- and 177Lu-PRRT provides the basis for optimization through individualized treatment planning.

Cremonesi M, Ferrari ME, Bodei L, et al.

A dose-effect correlation for radioiodine ablation in differentiated thyroid cancer.

Flux GD, Haq M, Chittenden SJ, et al. 

Standardised quantitative radioiodine SPECT/CT Imaging for multicentre dosimetry trials in molecular radiotherapy. Phys Med Biol.

Gregory RA, Murray I, Gear J, et al.

Hybrid SPECT/Planar Dosimetry for Targeted Molecular Radiotherapy

Cole NM, Mirando D, Nelson AS, et al.

An Activity Quantification Method Based on Registration of CT and Whole-Body Scintillation Camera Images, with Application to 131I.

Sjogreen K, Ljunberg M, Strand S.

MIRD Pamphlet 16: Techniques for Quantitative Radiopharmaceutical Biodistribution Data Acquisition and Analysis for Use in Human Radiation Dose Estimates.

Siegel JA, Thomas SR, Stubbs JB, Stabin MG, Hays MT, Koral KF, Robertson JS, Howell RW, Wessels BW, Fisher DR, Weber DA, Brill AB. 

Dosimetry for Targeted Molecular Radiotherapy Using a Single Measurement Timepoint

Cole NM, Mirando D, Nelson AS. 

Dose Mapping After Endoradiotherapy with 177Lu-DOTATATE/DOTATOC by a Single Measurement After 4 Days.

Hänscheid H, Lapa C, Buck AK, et al. 

Minor changes in effective half-life during fractionated 177Lu-octreotate therapy.

Garske U, Sandström M, Johansson S, et al.

Feasibility and accuracy of single time point imaging for renal dosimetry following 177Lu-DOTATATE (‘Lutate’) therapy.

Willowson KP, Eslick E, Ryu H, et al. 

Accuracy and reproducibility of simplified QSPECT dosimetry for personalized 177Lu-octreotate PRRT.

Del Prete M, Arsenault F, Saighi N, et al. 

Radiation dosimetry in 177Lu-PSMA-617 therapy using a single post-treatment SPECT/CT: A novel methodology to generate tissue-specific dose factors.

Jackson PA, Hofman MS, Hicks RJ, et al.

Correlation Between Two Methods of Florbetapir PET Quantitative Analysis.

Breault C, Piper J, Joshi AD, Pirozzi SD, Nelson AS, Lu M, Pontecorvo MJ, Mintun MA, Devous MD.

Diagnostic Performance of an Automated Analysis Software for the Diagnosis of Alzheimer's Dementia with ¹⁸F FDG PET.

Partovi S, Yuh R, Pirozzi S, Lu Z, Couturier S, Grosse U, Schluchter MD, Nelson AS, Jones R, O'Donnell JK, Faulhaber P.

Brain PET in Suspected Dementia: Patterns of Altered FDG Metabolism.

Brown RK, Bohnen NI, Wong KK, Minoshima S, Frey KA.

Evaluation of a Quantitative Method for Florbetaben (FBB) PET Using SUVR.

Piper JW, Nelson AS, Javorek A.

Evaluation of a Novel Quantitative Metric, Volumetric Statistical Amyloid Burden (VSAB), for 18F Florbetapir PET Using a Probabilistic Gray Matter Brain Mask.

Piper JW, Nelson AS, Javorek A.

Potential Value of a Quantitative Estimate of Cortical to Cerebellar SUVr in Aiding Visual Interpretation of Florbetapir PET Scans.

Pontecorvo MJ, Arpra Al. Devine M. et al.

A Novel Metric of Statistical Amyloid Burden by Comparison to a Database of Health Controls.

Piper JW, Nelson AS, Pirozzi SD, Shen ZL.

Comparison of SISCOM, STATISCOM and MIMneuro for Seizure Localization.

Long Z, Hanson D, Mullan B, Hunt C, Brinkmann B, O’Conner M.

Validation of an Automated Subtraction Method Using Ictal and Interictal SPECT to aid in Seizure Localization.

Nelson AS, Harper JW, Pirozzi SD, Piper JW, Nelson AD.

Evaluation of an Automated Atlas-Based Method for DaTscan™ Analysis.

Nelson AS, Piper JW, Pirozzi SD, Shen ZL.

Probabilistic Human Brain Atlas: Part 1, a Surrogate for Manual VOI Definition.

Piper JW, Nelson AS.

Probabilistic Human Brain Atlas: Part 2, Validation with ADNI Data.

Piper JW, Nelson AS.

Quantitative Comparison of Spatial Normalization Algorithms for 3D PET Brain Scans.

Piper JW.

Can Incorporation of a Quantitative Estimate of Cortical to Cerebellar SUVr as an Adjunct to Visual Interpretation Improve the Accuracy and Reliability of Florbetapir PET Scan Interpretation?

Pontecorvo M, Devous, M, Arora A, et al.

Standardizing Quantification of Amyloid PET using the Centiloid Scale.

W. Balhorn, K. Krawiec, N.M. Cole, A.S. Nelson.

Validation of a Deformable Atlas-Based Left Ventricular Segmentation Method for PET and SPECT: Comparison to Cardiac Computed Tomography Angiography (CCTA) Volumes.

Nelson AS, Nelson AD, Pirozzi SD, Piper JW.

Comparison of QGS, 4D-MSPECT, and MIMcardiac^® for the Evaluation of Left Ventricular Functional Parameters for Gated Myocardial SPECT.

Pirozzi SD, Nelson AS, Nelson AD, Piper JW, Traughber BJ, Faulhaber PF, O'Donnell JK, Wojtylak PF.

Validation of a Deformable Atlas-Based Left Ventricular Segmentation Method for PET and SPECT: Comparison to Cardiac Computed Tomography Angiography (CCTA) Volumes.

Nelson AD, Nelson AS, Pirozzi SD, Piper JW.

Determination of Skeletal Tumor Burden on 18F-Fluoride PET/CT.

Rohren EM, Etchebehere EC, Araujo JC, Hobbs BP, Swanston NM, Everding M, Moody T, Macapinlac HA.

Quantification of metabolic tumor activity and burden in patients with non-small-cell: Is manual adjustment of semi-automatic gradient-based measurements necessary?

Obara P, Liu H, Wroblewski K, et al.

Gradient-based Delineation of the Primary GTV on FLT PET in Squamous Cell Cancer of the Thoracic Esophagus and Impact on Radiotherapy Planning.

Zhang G, Han D, Ma C, Lu J, Sun T, Liu T, Zhu J, Zhou J, Yin Y.

FDG PET Metabolic Tumor Volume Segmentation and Pathologic Volume of Primary Human Solid Tumors.

Sridhar P, Mercier G, Tan J, Truong MT, Daly B, Subramaniam RM.

Comparison of Gradient PET Segmentation from a Multi-Modality PET/CT Measurement Tool to Gradient PET Segmentation Alone.

Nelson AS, Faulhaber PF, Pirozzi SD, Harper JW, Piper JW.

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.

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.

Pathologic Correlation of PET-CT Based Auto-Contouring for Radiation Planning in Lung Cancer.

Fogh S, Karancke J, Nelson AS, McCue P, Axelrod R, Werner-Wasik W.

Comparison of PET Contouring Methods in Patients With Early-Stage Resected Non-Small Cell Lung Cancer (NSCLC): A Pathologic–Imaging Correlation

Werner-Wasik M, Kang P, Choi W, Ohri N, Faulhaber P, Nelson D, Nelson A, Piper J, Shen Z, Pirozzi S.

Evaluation of Gradient PET Segmentation for Total Lesion Glycolysis Compared to Thresholds and Manual Contouring.

Nelson AS, Werner-Wasik M, Choi W, et al.

Tissue Segmentation in PET Image Volumes.

Nelson AD, Nelson AS.

Prognostic Factors in Patients Treated with 223Ra: The Role of Skeletal Tumor Burden on Baseline 18F-Fluoride PET/CT in Predicting Overall Survival.

Etchebehere EC, Araujo JC, Fox PS, Swanston NM, Macapinlac HA, Rohren EM.

Head and Neck Squamous Cell Cancers (Stages III and IV) Induction Chemotherapy Assessment: Value of FDG Volumetric Imaging Parameters.

Yu J, Cooley T, Truong MT, Mercier G, Subramaniam RM.

PET-Based Primary Tumor Volumetric Parameters and Survival of Patients with Non-Small Cell Lung Carcinoma.

Davison J, Mercier G, Russo G, Subramaniam RM.

Intra-Reader Reliability of FDG PET Volumetric Tumor Parameters: Effects of Primary Tumor Size and Segmentation Methods.

Shah B, Srivastava N, Hirsch AE, et al.

Superior Prognostic Utility of Gross and Metabolic Tumor Volume Compared to Standardized Uptake Value Using PET/CT in Head and Neck Squamous Cell Carcinoma Patients Treated with Intensity Modulated Radiotherapy.

Romesser PB, Qureshi MM, Shah BA et al.

18F-FDG Metabolic Tumor Volume and Total Glycolytic Activity of Oral Cavity and Oropharyngeal Squamous Cell Cancer: Adding Value to Clinical Staging.

Dibble EH, Alvarez AC, Truong MT, et al.

Prognostic Value of Metabolic Tumor Burden on 18FFDG PET in Nonsurgical Patients with Non-Small Cell Lung Cancer.

Liao S, Penney BC, Wroblewski K, et al.

Prognostic Value of the Quantitative Metabolic Volumetric Measurement on 18F-FDG PET/CT in Stage IV Nonsurgical Small-Cell Lung Cancer.

Liao S, Penney BC, Zhang H, et al.

Feasibility of rapid integrated radiation therapy planning with follow-up FDG PET/CT to improve overall treatment assessment in head and neck cancer.

Morgan R, Chin BB, Lanning R.

MIM^® for Therapy Response Evaluation

Nelson AD, Nelson AS.

Y90 Literature Syllabus.

Toward daily dose tracking for adaptive therapy: feasibility of using Monte Carlo dose calculation on corrected CBCT images.

Lamba N, Pittock D, Ginsburg S, Darkow D, Bonsall H, Fung WWK, M.Phil, Man HMC, Kruzer A, Nelson AS, M.D.

Comparison of two CBCT correction methods for daily adaptive therapy dose tracking.

Pittock D, Lamba N, Ginsburg S, Dragojevic I, Kruzer A, Nelson AS.

Evaluation of three deformable image registration techniques between CT and CBCT in prostate cancer radiotherapy.

Pirozzi S, Kruzer A, Nelson AS.

Evaluation of an automated lung segmentation method using an iterative thresholding and processing technique.

Mirando D, Saiprasad M, Pirozzi S, Kruzer A, Nelson AS.

Evaluation of a Novel Hybrid Deformable Registration Algorithm for CBCT to CBCT Deformation in Prostate Studies.

Pirozzi S, Lamba N, Kruzer A, Nelson AS.

Evaluation of a commercial DIR platform for contour propagation in prostate cancer patients treated with IMRT/VMAT.

Hammers JE, Pirozzi S, Lindsay D, Kaidar-Person O, Tan X, Chen RC, Das SK, Mavroidis P.

Patterns of practice for adaptive and real-time radiation therapy (POP-ART RT) part II: Offline and online plan adaption for interfractional changes.

Bertholet J, Anastasi G, Noble D, Bel A, van Leeuwen R, Roggen T, Duchateau M, Pilskog S, Garibaldi C, Tilly N, García-Mollá R, Bonaque J, Oelfke U, Aznar MC, Heijmen B.

Validation of a deformable MRI to CT registration algorithm employing same day planning MRI for surrogate analysis

Padgett KR, Stoyanova R, Pirozzi S, Johnson P, Piper J, Dogan N, Pollack A.

Towards a universal MRI atlas of the prostate and prostate zones: Comparison of MRI vendor and image acquisition parameters.

Padgett KR, Swallen A, Pirozzi S, Piper J, Chinea FM, Abramowitz MC, Nelson A, Pollack A, Stoyanova R.

Phantom evaluation of a vendor neutral quantitative SPECT/CT reconstruction package.

Moore B, Galt J, Mirando D, Nelson AS, Nye J.

Automated Contouring Using Neural Networks for 4.2.0 CT Models

Hanlin Wan, PhD.

Benchmarking of the dose planning method (DPM) Monte Carlo code using electron beams from a racetrack microtron.

Chetty IJ, Moran JM, McShan DL, Fraass BA, Wilderman SJ, Bielajew AF.

Experimental validation of the DPM Monte Carlo code using minimally scattered electron beams in heterogeneous media.

Chetty IJ, Moran JM, Nurushev TS, et al.

Accurate dosimetry in 131I radionuclide therapy using patient-specific, 3-dimensional methods for SPECT reconstruction and absorbed dose calculation.

Dewaraja YK, Wilderman SJ, Ljungberg M, Koral KF, Zasadny K, Kaminiski MS.

Reporting and analyzing statistical uncertainties in Monte Carlo-based treatment planning.

Chetty IJ, Rosu M, Kessler ML, et al.

Report of the AAPM Task Group No. 105: Issues associated with clinical implementation of Monte Carlo-based photon and electron external beam treatment planning.

Chetty IJ, Curran B, Cygler JE, et al.

Method for Fast CT/SPECT-Based 3D Monte Carlo Absorbed Dose Computations in Internal Emitter Therapy.

Wilderman SJ, Dewaraja YK.

A Pipeline for Automated Voxel Dosimetry: Application in Patients with Multi-SPECT/CT Imaging After 177Lu-Peptide Receptor Radionuclide Therapy.

Dewaraja YK, Mirando DM, Peterson AB, et al.

Experimental validation of Monte Carlo dosimetry for therapeutic beta emitters with radiochromic film in a 3D-printed phantom.

Van B, Dewaraja YK, Niedbala JT, et al.

Standardizing Quantification of Amyloid PET Using the Centiloid Scale.

Balhorn, William; Hegedorn (Krawiec), Katherine; Cole, Natalie M. Ph.D.; Haas, Michael; Nelson, Aaron S. MD.