MC2 Award 2011 (MC2 award started in 2011)

• Best Abstract: Justin C. Park (UCSD) - Fast, iterative, low-dose, cone-beam computed tomography reconstruction using a gradient projection algorithm

• Best Paper: Young Ho Seo (UCSF) - Lymphatic drainage mapping of prostate using filtered 99mTc-sulfur nanocolloid and SPECT/CT

 

MC2 Award 2012

• Best Abstract: Jongmin Cho (MD Anderson) - Pilot study of obtaining elemental tissue composition of proton therapy patients using positron emission tomography

• Best Paper: Chul Hee Min (MGH) - Development of array-type prompt gamma measurement system for in vivo range verification in proton therapy

 

MC2 Award 2013

• Best Abstract: Jongmin Cho (MD Anderson) - Proton beam range verification using proton activated fiducials and off-site PET

• Best Paper: Inwhan Yeo (Loma Linda) - Feasibility study on inverse four-dimensional dose reconstruction using the continuous dose-image of EPID

 

MC2 Award 2014

• Best Abstract: Peter Park (Emory) - A Novel MRI Based CT Artifact Correction Method for Improving Proton Range Calculation in the Presence of Severe CT Artifacts

• Best Paper: Tae Ho Kim (VCU) - Dynamic keyhole: A novel method to improve MR images in the presence of respiratory motion for real-time MRI

 

MC2 Award 2015

• Best Science Paper: Youngho Seo (UCSF) – Multipinhole collimator with 20 apertures for a brain SPECT application

• Best Clinical Paper: Peter C. Park (Emory Univ.) – MRI-Based Computed Tomography Metal Artifact Correction Method for Improving Proton Range Calcuation Accuracy

• Best Science Abstract: Jongmin Cho (MD Anderson) – PET-detectable bimetallic (Zn@Au) nanoparticles for radiotherapy and molecular imaging applications

• Best Clinical Abstract: Jihyung Yoon (East Carolina Univ.) – Four-dimensional dose reconstruction through retrospective phase determination using cine images of electronic portal imaging device

 

MC2 Award 2016

• Best Scientific Paper: Jongmin Cho (Oklahoma Univ.) - Feasibility of hydrogel fiducial markers for in vivo proton range verification using PET

• Best Clinical Paper: Danny Lee (VCU) - Audiovisual biofeedback improves cine-magnetic resonance imaging measured lung tumor motion consistency

• Best Scientific Pape: Seyoun Park (Duke) - Predicting radiation-induced xerostomia by dosimetrically accounting for daily setup uncertainty during head and neck IMRT

 

MC2 Award 2017

• Best Paper: James J. Jung (UF) - Comparison between proton boron fusion therapy (PBFT) and boron neutron capture therapy (BNCT): a Monte Carlo study

• Best Paper: Eunsin Lee (Univ. of Cincinnati) - Functional lung avoidance and response- adaptive escalation (FLARE) RT: multimodality plan dosimetry of a precision radiation oncology strategy

• Best Abstract: Sang Ho Lee (MSKCC) - Correlation between FDG-PET SUV max and DCE-MRI microvascular parameters in non-small cell lung cancer (NSCLC)

 

MC2 Award 2018

• Best Paper in KAMPiNA: Uikyu Je (UT Southwestern) - Indirect measurement of high grid strip densities over Nyquist sampling rate based on the moiré pattern analysis for quality assurance in grid manufacturing

• Best Paper in KSMP: Hyekyun Chung (Asan Medical) - Reconstruction of implanted marker trajectories from cone-beam CT projection using interdimensional correlation model

• Best Poster in KAMPiNA: Hpsang Jin (Univ. of Oklahoma) - Enhanced tumor cell control by boron in proton beam therapy

 

MC2 Award 2019

• Best Paper in KAMPiNA: Yeon Soo Yeom (NCI) - Posture-dependent dose coefficients of mesh-type ICRP reference computational phantoms for photon external exposures

• Best Paper in KSMP: Donghoon Lee (Yonsei Univ.) - Development of a deep neural network for generating synthetic dual-energy chest X-ray images with single X-ray exposure

• Best Poster in KAMPiNA: Sang-June Park (UCLA) - High dose rate interstitial spine brachytherapy using an intraoperative mobile CT guided surgical navigation system

 

MC2 Award 2020

• Best Paper in KAMPiNA: Sang Ho Lee (Johns Hopkins University) - Multi-view radiomics and dosiomics analysis with machine learning for predicting acute-phase weight loss in lung cancer patients treated with radiotherapy

• Best Paper in KSMP: Hyekyun Chung (Asan Medical) - Reconstruction of implanted marker trajectories from cone-beam CT projection using interdimensional correlation model

• Best Poster in KAMPiNA: Hosang Jin (Univ. of Oklahoma) - Enhanced tumor cell control by boron in proton beam therapy

 

MC2 Award 2021

• Best Paper in KSMP: Jin Ju Kim (KIRAMS & UST) – PET tracing of biodistribution for orally administered 64Cu-labeled polystyrene in mice

• Best Paper in KAMPiNA: Sang Ho Lee (University of Pennsylvania) – Multi-block discriminant analysis of integrative 18F-FDG-PET/CT radiomics for predicting circulating tumor cells in early-stage non-small cell lung cancer treated with stereotactic body radiation therapy

• Best Poster in KAMPiNA: Jihyun Yun (University of Alberta) – Optimizing the accuracy and training speed of an artificial neural network for 3D tumor trajectory prediction in Linac-MR image-guided radiation therapy

• Best Poster in KAMPiNA: James J. Sohn (VCU) – A workflow for a patient-specific 3D-printed template with direction modulated brachytherapy (DMBT) tandem applicator for adaptive HDR interstitial brachytherapy

 

MC2 Award 2022

• Best Paper in KAMPiNA: Claire Keun Sun Park (Western University) – Spatially tracked whole-breast three-dimensional ultrasound system toward point-of-care breast cancer screening in high-risk women with dense breasts

 

MC2 Award 2023

• Best Paper in KAMPiNA: Danny Lee (Allegheny Health Network) – Super-paramagnetic iron oxide nanoparticles-aided MRI for auto-contouring functional liver parenchyma volume and enhancing tumor-to-liver contrast for MR-guided adaptive SBRT

• Best Abstract in KAMPiNA: Dae-Myoung Yang (Fox Chase) - Response of tumor and normal tissue to 45MV 5-aminolevulinic acid- (5-ALA)-mediated radiodynamic therapy

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MC2 Award 2024

• TBD