A deep learning method for translating 3DCT to SPECT ventilation imaging: First comparison with <sup>81m</sup> Kr‐gas SPECT ventilation imaging-Reference-Cited by-同舟云学术

A deep learning method for translating 3DCT to SPECT ventilation imaging: First comparison with ^81m Kr‐gas SPECT ventilation imaging

Published:2022-05-17 Issue:7 Volume:49 Page:4353-4364
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Medical Physics

Author:

Kajikawa Tomohiro¹²,Kadoya Noriyuki²,Maehara Yosuke¹,Miura Hiroshi³,Katsuta Yoshiyuki²,Nagasawa Shinsuke¹,Suzuki Gen¹,Yamazaki Hideya¹,Tamaki Nagara¹,Yamada Kei¹

Affiliation:

1. Department of Radiology Graduate School of Medical Science Kyoto Prefectural University of Medicine Kyoto Japan

2. Department of Radiation Oncology Tohoku University Graduate School of Medicine Sendai Japan

3. Department of Radiology Japanese Red Cross Kyoto Daini Hospital Kyoto Japan

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.15697

Reference41 articles.

1. Reduction of Normal Lung Irradiation in Locally Advanced Non–Small-Cell Lung Cancer Patients, Using Ventilation Images for Functional Avoidance

2. Evaluating the Toxicity Reduction With Computed Tomographic Ventilation Functional Avoidance Radiation Therapy

3. Treatment planning based on lung functional avoidance is not ready for clinical deployment

4. Use of 4-Dimensional Computed Tomography-Based Ventilation Imaging to Correlate Lung Dose and Function With Clinical Outcomes

5. The first patient treatment of computed tomography ventilation functional image-guided radiotherapy for lung cancer

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