High-speed tripe-energy x-ray photon counter using a room-temperature cadmium-telluride detector and its application to high-spatial-resolution low-dose computed tomography

Author(s):  
Eiichi Sato ◽  
Manabu Watanabe ◽  
Yasuyuki Oda ◽  
Yuichi Sato ◽  
Satoshi Yamaguchi ◽  
...  
2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Zhiwu Liao

Existing fractional-order Perona-Malik Diffusion (FOPMD) algorithms used in noise suppressing suffer from undesired artifacts and speckle effect, which hamper FOPMD used in low-dosed X-ray computed tomography (LDCT) imaging. In this paper, we propose a new FOPMD method for low-dose computed tomography (LDCT) imaging, which is called regularized fully spatial FOPMD (RFS-FOPMD), whose numerical scheme is also given based on Grünwald-Letnikov derivative (G-L derivative). Here, fully spatial FOPMD represents all the integer-order derivatives (IODs) in the right hand of Perona-Malik Diffusion (PMD) which are replaced by fractional-order derivatives (FODs). Since the new scheme has advantages of both regularization and FOPMD, it has good abilities in singularities preserving while suppressing noise. Some real sinogram of LDCT are used to compare the different performances not only for some classical but also for some state-of-art diffusion schemes. These schemes include PMD, regularized PMD (RPMD), and FOPMD in (Hu et al. 2012). Experimental results show that besides good ability in edge preserving, the new scheme also has good stability for iteration number and can avoid artifacts and speckle effect with suitable parameters.


2019 ◽  
Vol 199 ◽  
pp. 62-69 ◽  
Author(s):  
Hodaka Moriyama ◽  
Manabu Watanabe ◽  
Shinya Kusachi ◽  
Yasuyuki Oda ◽  
Eiichi Sato

2019 ◽  
Vol 34 (3) ◽  
pp. 179-186 ◽  
Author(s):  
Lucia J.M. Kroft ◽  
Levinia van der Velden ◽  
Irene Hernández Girón ◽  
Joost J.H. Roelofs ◽  
Albert de Roos ◽  
...  

2009 ◽  
Author(s):  
Eiichi Sato ◽  
Toshiyuki Enomoto ◽  
Manabu Watanabe ◽  
Keitaro Hitomi ◽  
Kiyomi Takahashi ◽  
...  

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 1610-1610
Author(s):  
Ping Yang ◽  
Kathleen J. Yost ◽  
Matthew M. Clark ◽  
Mariza de Andrade ◽  
Katherine M. Piderman ◽  
...  

1610 Background: Low dose computed tomography (LDCT) scans have reduced lung cancer deaths by 20.3% in high risk populations, although there is an unknown balance between the benefits and harms of LDCT scans as a screening tool. Our purpose was to compare health-related QOL issues among lung cancer patients who were initially detected by LDCT scans; 4 comparison groups included: lung cancer diagnosed by a screening chest X-ray, as an incidental finding from procedures taken for other medical reasons, or based on symptoms indicative for lung cancer and routinely diagnosed, and individuals who were LDCT screened but found no lung cancer (controls who participated in Mayo’s lung cancer CT screening trial). Methods: A total of 1,658 lung cancer patients (cared at Mayo Clinic) in the 4 groups (37, 151, 389, and 1081 respectively) and 488 controls were compared on following patient-reported outcomes (collected via validated tools): overall QOL, four symptoms (cough, pain, dyspnea, fatigue), mental/ physical/ emotional/ social/ spiritual QOL, and other concerns (e.g., family/ friends/ financial/ legal). A clinically significant deficit was defined as at least 10-points in difference (or <50 points) on a 0-100 scale. The rates of deficits were compared via Fisher’s exact tests and average QOL values via Kruskal-Wallis tests. Results: Overall QOL and individual symptoms were significantly worse (p<0.05) in all lung cancer groups than in controls, except for pain. LDCT-screened patients reported the greatest deficit among the 4 lung cancer groups in physical (41%), emotional (24%), social (38%), and spiritual QOL (24%); whereas chest X-ray detected patients had the least deficit in overall QOL (22%) and pain (32%). All 4 lung cancer groups experienced much worse fatigue (52-64%) than the controls (32%). Conclusions: Our preliminary results suggest that LDCT-screening detected lung cancer patients reported a different QOL profile from other lung cancer patients and non-lung cancer controls. The clinical course, smoking behavior, and QOL related health issues associated with LDCT screening for lung cancer warrant thorough investigation.


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