Comparison of iterative reconstruction and filtered back projection algorithm to detect lesions on FDG images obtained with a hybrid camera in patients with known or suspected malignancies.

被引：0
作者：
Delbeke, D [1 ]
Dangleis, K [1 ]
Cerci, R [1 ]
Martin, WH [1 ]
Patton, JA [1 ]
Sandler, MP [1 ]
机构：
[1] Vanderbilt Univ, Med Ctr, Nashville, TN USA
来源：
JOURNAL OF NUCLEAR MEDICINE | 2000年 / 41卷 / 05期
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：
891
引用
收藏
页码：197P / 197P
页数：1
相关论文
共 46 条
  • [21] A comparison of reconstruction algorithms with FDG PET. Iterative reconstruction segmented attenuation correction (IRSAC) allows greater detectability than filtered back projection (FBP).
    Akhurst, T
    Erdi, Y
    Colsher, J
    Crandall, P
    MacApinlac, H
    Humm, J
    Yeung, H
    Larson, SM
    EUROPEAN JOURNAL OF NUCLEAR MEDICINE, 1999, 26 (09): : 1027 - 1027
  • [22] Evaluation of Adaptive Statistical Iterative Reconstruction-V Reconstruction Algorithm vs Filtered Back Projection in the Detection of Hypodense Liver Lesions: Reader Performance and Preferences
    Dimmitt, Amanda M.
    Pelz, Jessica A.
    Albertson, Megan E.
    Samson, Kaeli K.
    Muinov, Lyudmila M.
    Oliveto, Jennifer M.
    Hansen, Neil J.
    JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 2019, 43 (02) : 200 - 205
  • [23] Deep learning-based denoising algorithm in comparison to iterative reconstruction and filtered back projection: a 12-reader phantom study
    Kim, Youngjune
    Oh, Dong Yul
    Chang, Won
    Kang, Eunhee
    Ye, Jong Chul
    Lee, Kyeorye
    Kim, Hae Young
    Kim, Young Hoon
    Park, Ji Hoon
    Lee, Yoon Jin
    Lee, Kyoung Ho
    EUROPEAN RADIOLOGY, 2021, 31 (11) : 8755 - 8764
  • [24] Comparison of iterative model, hybrid iterative, and filtered back projection reconstruction techniques in low-dose brain CT: impact of thin-slice imaging
    Nakaura, Takeshi
    Iyama, Yuji
    Kidoh, Masafumi
    Yokoyama, Koichi
    Oda, Seitaro
    Tokuyasu, Shinichi
    Harada, Kazunori
    Yamashita, Yasuyuki
    NEURORADIOLOGY, 2016, 58 (03) : 245 - 251
  • [25] Comparison of iterative model, hybrid iterative, and filtered back projection reconstruction techniques in low-dose brain CT: impact of thin-slice imaging
    Takeshi Nakaura
    Yuji Iyama
    Masafumi Kidoh
    Koichi Yokoyama
    Seitaro Oda
    Shinichi Tokuyasu
    Kazunori Harada
    Yasuyuki Yamashita
    Neuroradiology, 2016, 58 : 245 - 251
  • [26] Comparison of Iterative Model-Based Reconstruction Versus Conventional Filtered Back Projection and Hybrid Iterative Reconstruction Techniques: Lesion Conspicuity and Influence of Body Size in Anthropomorphic Liver Phantoms
    Yoon, Jeong Hee
    Lee, Jeong Min
    Yu, Mi Hye
    Baek, Jee Hyun
    Jeon, Ju Hyun
    Hur, Bo Yun
    Dhanantwari, Amar
    Chung, Se Young
    Han, Joon Koo
    Choi, Byung Ihn
    JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 2014, 38 (06) : 859 - 868
  • [27] Computed Tomography Image Quality Evaluation of a New Iterative Reconstruction Algorithm in the Abdomen (Adaptive Statistical Iterative Reconstruction-V) a Comparison With Model-Based Iterative Reconstruction, Adaptive Statistical Iterative Reconstruction, and Filtered Back Projection Reconstructions
    Goodenberger, Martin H.
    Wagner-Bartak, Nicolaus A.
    Gupta, Shiva
    Liu, Xinming
    Yap, Ramon Q.
    Sun, Jia
    Tamm, Eric P.
    Jensen, Corey T.
    JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 2018, 42 (02) : 184 - 190
  • [28] Detection of Urolithiasis: Comparison of 100% Tube Exposure Images Reconstructed with Filtered Back Projection and 50% Tube Exposure Images Reconstructed with Sinogram-affirmed Iterative Reconstruction
    Remer, Erick M.
    Herts, Brian R.
    Primak, Andrew
    Obuchowski, Nancy A.
    Greiwe, Alison
    Roesel, Daniel M.
    Purysko, Andrei S.
    Feldman, Myra K.
    De, Shubha
    Shah, Shetal N.
    Dong, Frank
    Monga, Manoj
    Baker, Mark E.
    RADIOLOGY, 2014, 272 (03) : 749 - 756
  • [29] Clinical receiver operating characteristic study in FDG-PET images of the patients with lymphoma: Obtained by ordered subset expectation maximization and filtered back projection
    Jeon, TJ
    Lee, JD
    Kim, H
    Woo, Y
    Jung, HK
    RADIOLOGY, 2001, 221 : 479 - 479
  • [30] The potential for reduced radiation dose from deep learning-based CT image reconstruction A comparison with filtered back projection and hybrid iterative reconstruction using a phantom
    Lee, Ji Eun
    Choi, Seo-Youn
    Hwang, Jeong Ah
    Lim, Sanghyeok
    Lee, Min Hee
    Ha Yi, Boem
    Cha, Jang Gyu
    MEDICINE, 2021, 100 (19) : E25814
12345