The impact of noise level mismatch between training and testing images for deep learning-based PET denoising

被引：0
|
作者：
Liu, Qiong [1 ]
Liu, Hui [1 ]
Niloufar, Mirian [1 ]
Ren, Sijin [1 ]
Liu, Chi [1 ]
机构：
[1] Yale Univ, New Haven, CT USA
来源：
JOURNAL OF NUCLEAR MEDICINE | 2021年 / 62卷
关键词：
D O I：
暂无
中图分类号：
R8 [特种医学]; R445 [影像诊断学];
学科分类号：
1002 ; 100207 ; 1009 ;
摘要：
109
引用
收藏
页数：2
相关论文
共 50 条
  • [21] A survey on deep learning-based Monte Carlo denoising
    Huo, Yuchi
    Yoon, Sung-eui
    COMPUTATIONAL VISUAL MEDIA, 2021, 7 (02) : 169 - 185
  • [22] Comparison of CT noise reduction performances with deep learning-based, conventional, and combined denoising algorithms
    Balogh, Zsolt Adam
    Kis, Benedek Janos
    MEDICAL ENGINEERING & PHYSICS, 2022, 109
  • [23] Denoising of magnetic resonance images using discriminative learning-based deep convolutional neural network
    Tripathi, Sumit
    Sharma, Neeraj
    TECHNOLOGY AND HEALTH CARE, 2022, 30 (01) : 145 - 160
  • [24] Learning-Based Noise Component Map Estimation for Image Denoising
    Bahnemiri, Sheyda Ghanbaralizadeh
    Ponomarenko, Mykola
    Egiazarian, Karen
    IEEE SIGNAL PROCESSING LETTERS, 2022, 29 : 1407 - 1411
  • [25] Noise dependent training for deep parallel ensemble denoising in magnetic resonance images
    Aetesam, Hazique
    Maji, Suman Kumar
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2021, 66
  • [26] Physics-Based Noise Modeling and Deep Learning for Denoising Permanently Shadowed Lunar Images
    Pan, Haiyan
    Chen, Binbin
    Zhou, Ruyan
    APPLIED SCIENCES-BASEL, 2025, 15 (05):
  • [27] FDG dose reduction using deep learning-based image reconstruction on PET images
    Akita, Ryuji
    Takauchi, Komei
    Ishibashi, Mana
    Ono, Shogo
    Yokomachi, Kazushi
    Nishimaru, Eiji
    Kiguchi, Masao
    Awai, Kazuo
    JOURNAL OF NUCLEAR MEDICINE, 2024, 65
  • [28] Deep learning with noise-to-noise training for denoising in SPECT myocardial perfusion imaging
    Liu, Junchi
    Yang, Yongyi
    Wernick, Miles N.
    Pretorius, P. Hendrik
    King, Michael A.
    MEDICAL PHYSICS, 2021, 48 (01) : 156 - 168
  • [29] Deep learning-based PET image denoising and reconstruction: a review (vol 17, pg 24, 2024)
    Hashimoto, Fumio
    Onishi, Yuya
    Ote, Kibo
    Tashima, Hideaki
    Reader, Andrew J.
    Yamaya, Taiga
    RADIOLOGICAL PHYSICS AND TECHNOLOGY, 2024, 17 (02) : 580 - 580
  • [30] Usefulness of deep learning-based noise reduction for 1.5 T MRI brain images
    Tajima, T.
    Akai, H.
    Yasaka, K.
    Kunimatsu, A.
    Yamashita, Y.
    Akahane, M.
    Yoshioka, N.
    Abe, O.
    Ohtomo, K.
    Kiryu, S.
    CLINICAL RADIOLOGY, 2023, 78 (01) : E13 - E21
12345