A modified Tseng algorithm approach to restoring thoracic diseases' computerized tomography images

被引：2
|
作者：
Ozsahin, Dilber Uzun [1 ,2 ,3 ]
Adamu, Abubakar [3 ,4 ]
Aliyu, Maryam Rabiu [5 ]
Umar, Huzaifa [3 ]
机构：
[1] Univ Sharjah, Coll Hlth Sci, Dept Med Diagnost Imaging, Sharjah, U Arab Emirates
[2] Univ Sharjah, Res Inst Med & Hlth Sci, Sharjah, U Arab Emirates
[3] Near East Univ, Operat Res Ctr Healthcare, Nicosia, Turkiye
[4] African Univ Sci & Technol, Charles Chidume Math Inst, Abuja, Nigeria
[5] Cyprus Int Univ, Dept Energy Syst Engn, Nicosia, Turkiye
来源：
PLOS ONE | 2024年 / 19卷 / 07期
关键词：
NOISE REMOVAL; SUPPORT; MRI;
D O I：
10.1371/journal.pone.0305728
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
It is well-known that the Tseng algorithm and its modifications have been successfully employed in approximating zeros of the sum of monotone operators. In this study, we restored various thoracic diseases' computerized tomography (CT) images, which were degraded with a known blur function and additive noise, using a modified Tseng algorithm. The test images used in the study depict calcification of the Aorta, Subcutaneous Emphysema, Tortuous Aorta, Pneumomediastinum, and Pneumoperitoneum. Additionally, we employed well-known image restoration tools to enhance image quality and compared the quality of restored images with the originals. Finally, the study demonstrates the potential to advance monotone inclusion problem-solving, particularly in the field of medical image recovery.
引用
收藏
页数：12
相关论文
共 38 条
  • [21] Impact Evaluation of Comfort Care on the Prognosis of Giant Thoracic Tumor Patients with Computerized Tomography Imaging under Intelligent Reconstruction Algorithm
    Li, Yan
    SCIENTIFIC PROGRAMMING, 2022, 2022
  • [22] Anatomical foundations of the thoracic region and its morphological approach from diagnostic images: Computed Tomography (CT)
    Dallos Bareno, Carlos Manuel
    MORFOLIA, 2021, 13 (01): : 3 - 28
  • [23] Adoption of computerized tomography images in detection of lung nodules and analysis of neuropeptide correlative substances under deep learning algorithm
    Zhu, Li
    Gao, Jianbo
    JOURNAL OF SUPERCOMPUTING, 2021, 77 (07): : 7584 - 7597
  • [24] Adoption of computerized tomography images in detection of lung nodules and analysis of neuropeptide correlative substances under deep learning algorithm
    Li Zhu
    Jianbo Gao
    The Journal of Supercomputing, 2021, 77 : 7584 - 7597
  • [25] A new approach for separation of functional MRI images' components using modified FastICA algorithm
    Larijani, Houtan Haddad
    Rad, Gholamali Rezai
    MEDIVIS 2008: FIFTH INTERNATIONAL CONFERENCE BIOMEDICAL VISUALIZATION - INFORMATION VISUALIZATION IN MEDICAL AND BIOMEDICAL INFORMATICS, PROCEEDINGS, 2008, : 83 - 87
  • [26] Utilizing Swin Transformer for the Classification of Ophthalmic Diseases in Optical Coherence Tomography (OCT) Images: A Novel Approach
    Mapanao, Jay Ryan
    Luis Lozano, Paulo
    2024 6TH INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATION AND THE INTERNET, ICCCI 2024, 2024, : 94 - 100
  • [27] A computerized approach for estimating pulmonary nodule growth rates in three-dimensional thoracic CT images based on CT density histogram
    Kawata, Y
    Niki, N
    Ohmatsu, H
    Kusumoto, M
    Kakinuma, R
    Mori, K
    Yamada, K
    Nishiyama, H
    Eguchi, K
    Kaneko, M
    Moriyama, N
    MEDICAL IMAGING 2005: IMAGE PROCESSING, PT 1-3, 2005, 5747 : 872 - 882
  • [28] Example-based assisting approach for pulmonary nodule classification in three-dimensional thoracic computed tomography images
    Kawata, Y
    Niki, N
    Ohmatsu, H
    Moriyama, N
    ACADEMIC RADIOLOGY, 2003, 10 (12) : 1402 - 1415
  • [29] Effect Evaluation of Perioperative Fast-Track Surgery Nursing for Tibial Fracture Patients with Computerized Tomography Images under Intelligent Algorithm
    Zhang, Mengmeng
    Li, Chuanbo
    Rao, Fulan
    CONTRAST MEDIA & MOLECULAR IMAGING, 2022, 2022
  • [30] A modified graph cuts image segmentation algorithm with adaptive shape constraints and its application to computed tomography images
    Chen, Hong
    Pan, Xianpan
    Lu, Xuesong
    Xie, Qinlan
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2020, 62 (62)
1234