• Home
  • Search
  • Deep learning-based inverse mapping for fluence map prediction
  • Open Access IconOpen Access
  • Cite Icon30
  • https://doi.org/10.1088/1361-6560/abc12cCopy DOI Icon

Deep learning-based inverse mapping for fluence map prediction

Show More
  • Abstract
  • Literature Map
  • References
  • Citations
  • Similar Papers
Abstract

We developed a fluence map prediction method that directly generates fluence maps for a given desired dose distribution without optimization for volumetric modulated arc therapy (VMAT) planning. The prediction consists of two steps. First, projections of the desired dose are calculated and then inversely mapped to fluence maps in the phantom geometry by a deep neural network. Second, a plan scaling technique is applied to scale fluence maps from phantom to patient geometry. We evaluated the performance of the proposed fluence map prediction method for 102 head and neck (H&N) and 14 prostate cancer VMAT plans by comparing the patient doses calculated from the predicted fluence maps with the given desired dose distributions. The mean dose differences were 1.42% ± 0.37%, 1.53% ± 0.44% and 1.25% ± 0.44% for the planning target volume (PTV), the region from the PTV boundary to the 50% isodose line, and the region from the 50% to the 20% isodose line, respectively. The gamma passing rate was 98.06% ± 2.64% with the 3 mm/3% criterion. The prediction time for a single VMAT plan was less than one second. In conclusion, we developed an inverse mapping-based method that predicts fluence maps for desired dose distributions with high accuracy. Our method is effectively an optimization-free inverse planning approach, which was orders of magnitude faster than fluence map optimization. Combining the proposed method with leaf sequencing has the potential to dramatically speed up VMAT treatment planning.

Similar Papers
  • Research Article
  • Citations2

SU-E-T-588: A Treatment Planning Comparison of Dual-Arc VMAT Vs. Helical Tomotherapy for Post-Mastectomy Radiotherapy.

  • Jun 01, 2012
  • Medical physics
  • G Nichols +4
  • Research Article

SU‐F‐BRB‐04: Comparison of Coplanar VMAT, Non‐Coplanar VMAT, and 4π Treatment Plans

  • Jun 01, 2015
  • Medical Physics
  • K Woods +5
  • Abstract

Single Arc VMAT of H&N Cancer

  • Oct 03, 2009
  • International Journal of Radiation Oncology*Biology*Physics
  • A.L Bertelsen +3
  • Research Article
  • Citations12

Quantitative comparison of volumetric modulated arc therapy and intensity modulated radiotherapy plan quality in sino-nasal cancer

  • Jan 01, 2012
  • Journal of Medical Physics / Association of Medical Physicists of India
  • Marimuthu Sankaralingam +4
  • Research Article

Retrospective Analysis of Dosimetric Comparison Between Intensity-Modulated Radiation Therapy and Volumetric-Modulated Arc Therapy in Patients With Esophageal Cancer.

  • Jan 05, 2025
  • Cureus
  • Vishwadeep Mishra +4
  • Research Article

SU-F-P-64: The Impact of Plan Complexity Parameters On the Plan Quality and Deliverability of Volumetric Modulated Arc Therapy with Canonical Correlation Analysis

  • Jun 01, 2016
  • Medical Physics
  • X Jin +2
  • Research Article
  • Citations65

Dosimetric study of volumetric modulated arc therapy fields for total marrow irradiation

  • Jul 01, 2011
  • Radiotherapy and Oncology
  • Chunhui Han +2
  • Book Chapter
  • Citations1

Dosimetry of Pacemaker in VMAT for Lung SBRT

  • Jan 01, 2015
  • James C L Chow +1
  • Research Article

Whole-liver Palliative Radiotherapy Using SIB for Diffuse Liver Metastases: 3D-CRT versus 99mTc-GSA SPECT Image-guided VMAT.

  • Mar 27, 2026
  • Anticancer research
  • Yoshinobu Shimohigashi +10
  • PDF
  • Research Article
  • Citations25

Evaluation of DIBH and VMAT in Hypofractionated Radiotherapy for Left-Sided Breast Cancers After Breast-Conserving Surgery: A Planning Study

  • Jan 01, 2021
  • Technology in Cancer Research & Treatment
  • Liuwei Tang +5
  • Research Article
  • Citations5

Comparison of volumetric-modulated arc therapy and intensity-modulated radiation therapy prostate cancer plans accounting for cold spots.

  • Feb 25, 2019
  • Radiological Physics and Technology
  • Tran Thi Thao Nguyen +5
  • Research Article
  • Citations28

In-vitro investigation of out-of-field cell survival following the delivery of conformal, intensity-modulated radiation therapy (IMRT) and volumetric modulated arc therapy (VMAT) plans

  • Oct 01, 2012
  • Physics in Medicine and Biology
  • Conor K Mcgarry +6
  • Research Article
  • Citations2

Enhanced optimization of volumetric modulated arc therapy plans using Monte Carlo generated beamlets.

  • Oct 19, 2020
  • Medical physics
  • Joshua Mathews +4
  • Research Article
  • Citations107

Using overlap volume histogram and IMRT plan data to guide and automate VMAT planning: A head-and-neck case study

  • Jan 24, 2013
  • Medical Physics
  • Binbin Wu +5
  • Abstract
  • Citations1

Correlation of Integral Dose, White Blood Cell Counts, and Radiation Therapy Techniques for Head and Neck Cancer Patients Under Radiation Therapy

  • Sep 01, 2014
  • International Journal of Radiation Oncology*Biology*Physics
  • A Al-Basheer +8
Cactus Communications logo

Copyright 2026 Cactus Communications. All rights reserved.