Design and evaluation of a modular multimodality imaging phantom to simulate heterogeneous uptake and enhancement patterns for radiomic quantification in hybrid imaging: A feasibility study-Reference-Cited by-同舟云学术

Design and evaluation of a modular multimodality imaging phantom to simulate heterogeneous uptake and enhancement patterns for radiomic quantification in hybrid imaging: A feasibility study

Published:2022-02-28 Issue:5 Volume:49 Page:3093-3106
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Medical Physics

Author:

Kalisvaart Gijsbert M.¹,van Velden Floris H.P.¹,Hernández‐Girón Irene¹,Meijer Karin M.¹,Ghesquiere‐Dierickx Laura M.H.¹²³,Brink Wyger M.¹,Webb Andrew¹,de Geus‐Oei Lioe‐Fee¹⁴,Slump Cornelis H.⁵,Kuznetsov Dimitri V.⁶,Schaart Dennis R.⁷⁸,Grootjans Willem¹

Affiliation:

1. Department of Radiology Leiden University Medical Center Leiden The Netherlands

2. Mechanical, Maritime, and Materials Engineering Delft University of Technology Delft The Netherlands

3. Department of Medical Physics in Radiation Oncology German Cancer Research Center (DKFZ) Heidelberg Germany

4. Biomedical Photonic Imaging Group University of Twente Enschede The Netherlands

5. Robotics and Mechatronics University of Twente Enschede The Netherlands

6. Electronic and Mechanical Support Division Delft University of Technology Delft The Netherlands

7. Radiation Science and Technology Delft University of Technology Delft The Netherlands

8. Holland Proton Therapy Center Delft The Netherlands

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.15537

Reference40 articles.

1. PET in the management of locally advanced and metastatic NSCLC

2. Radiomics: Images Are More than Pictures, They Are Data

3. Radiomics: Extracting more information from medical images using advanced feature analysis

4. External validation of a combined PET and MRI radiomics model for prediction of recurrence in cervical cancer patients treated with chemoradiotherapy

5. A radiomics model from joint FDG-PET and MRI texture features for the prediction of lung metastases in soft-tissue sarcomas of the extremities

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