Bilateral contrast-enhanced MR angiography of the hand: diagnostic image quality of accelerated MRI using echo sharing with interleaved stochastic trajectories (TWIST)

2010 ◽  
Vol 21 (5) ◽  
pp. 1026-1033 ◽  
Author(s):  
Jan Thorsten Winterer ◽  
P. Blanke ◽  
A. Schaefer ◽  
G. Pache ◽  
M. Langer ◽  
...  
2012 ◽  
Vol 28 (4) ◽  
pp. 335
Author(s):  
Andrew J. Fagan ◽  
Daniel Foley ◽  
Jacinta E. Browne ◽  
Barry Sheane ◽  
Dearbhail O'Driscoll ◽  
...  

1999 ◽  
Vol 72 (853) ◽  
pp. 55-61 ◽  
Author(s):  
A Lowe ◽  
A Finch ◽  
D Boniface ◽  
R Chaudhuri ◽  
J Shekhdar

1993 ◽  
Vol 34 (5) ◽  
pp. 440-444 ◽  
Author(s):  
K. Lyttkens ◽  
M. Kehler ◽  
B. Andersson ◽  
S. Carlsen ◽  
A. Ebbesen ◽  
...  

With the introduction of picture and archiving communicating systems an alternative image display for the wards might be a personal computer (PC). The intention with this study was to evaluate the diagnostic image quality of the monitor of a PC compared to that of a workstation. Eighty-five digital radiographs of a chest phantom with simulated tumors in the mediastinum and right lung were saved on optical discs. The examinations were reviewed by 4 radiologists on a monitor at a workstation and at a PC, and receiver operating characteristic (ROC) curves were constructed. No significant difference was found between performance of the PC and the workstation.


2021 ◽  
Vol 58 (4) ◽  
pp. 0-0
Author(s):  
Praveen Kumar Neela ◽  
Venkat Kishan ◽  
Mohammed Wahajuddin Syed ◽  
Pavan Kumar Mamillapalli ◽  
Vasu Murthy Sesham ◽  
...  

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Jacopo Nori ◽  
Maninderpal Kaur Gill ◽  
Chiara Vignoli ◽  
Giulia Bicchierai ◽  
Diego De Benedetto ◽  
...  

2010 ◽  
Vol 37 (11) ◽  
pp. 5777-5786 ◽  
Author(s):  
Martin King ◽  
Zachary Rodgers ◽  
Maryellen L. Giger ◽  
Dianna M. E. Bardo ◽  
Amit R. Patel

2012 ◽  
Vol 53 (2) ◽  
pp. 179-186 ◽  
Author(s):  
Petra Palkowitsch ◽  
Philipp Lengsfeld ◽  
Kathrin Stauch ◽  
Christian Heinsohn ◽  
Soon Tae Kwon ◽  
...  

Author(s):  
Dennis Hedderich ◽  
Kilian Weiss ◽  
Judith Spiro ◽  
Daniel Giese ◽  
Gabriele Beck ◽  
...  

Purpose Contrast-enhanced T1-weighted MR imaging of the liver is typically acquired using breath-hold techniques to reduce motion artifacts and to allow for optimal diagnostic image quality. Insufficient breath-holds during MR data collection can cause severe reduction of image quality up to the point of being non-diagnostic. The aim of this study was to evaluate the subjective and objective clinical image quality of a novel free-breathing radial k-space sampling MR technique. Materials and Methods Consent for this study was given by the local IRB committee. 86 patients who underwent both breath-hold (BH) and free-breathing (FB) late-phase contrast T1w-FS-FFE liver MRI using conventional BH Cartesian (Cartesian-eTHRIVE) and FB “pseudo golden angle” radial k-space sampling (Radial-eTHRIVE) were included in this retrospective analysis. Subjective analysis comprised 5-point Likert scale ratings (1 = very good; 5 = non-diagnostic) for “artifact impact”, “anatomic sharpness”, “vessel sharpness”, “contrast impression”, and “overall diagnostic quality”. Relative signal intensities in different ROIs were compared between Cartesian-eTHRIVE and Radial-eTHRIVE. For statistical differences paired Wilcoxon test and paired t-test have been performed (p < 0.05). Results The MR scan time was significantly longer for FB Radial-eTHRIVE (2 min, 54 s) compared to BH Cartesian-eTHRIVE (0 min 15 s). Cartesian-eTHRIVE demonstrated a superior subjective contrast impression and objective measurements revealed an increased lesion-to-liver-contrast for hypointense liver lesions (Hypo-LTLC: 0.33 ± 0.19 vs. 0.20 ± 0.11; p = 0.000), while no difference was observed for hyperintense liver lesions (Hyper-LTLC). Subjective evaluation showed superior anatomic sharpness ratings by both readers for Radial-eTHRIVE. Most importantly, in a subgroup analysis of patients who were unable to perform adequate breath-holds, free-breathing Radial-eTHRIVE still demonstrated good subjective image quality. Conclusion Free-breathing, radial k-space sampling T1w MRI of the liver delivers high diagnostic image quality, especially in patients who are unable to adequately perform breath-hold maneuvers. Thus, Radial-eTHRIVE can be an important clinical alternative in patients with impaired respiration status. Key points  Citation Format


2012 ◽  
Vol 2012 ◽  
pp. 1-5
Author(s):  
Andreas Korn ◽  
Michael Fenchel ◽  
Till-Karsten Hauser ◽  
Sotirios Bisdas ◽  
Thomas Nägele ◽  
...  

Purpose. The aim of the present work was to test the feasibility of the time-resolved MR-angiography (TWIST-MRA) of cervical arteries using double bolus injection.Material and Methods. TWIST-MRA with a temporal resolution of 8.4 seconds for each frame and a spatial resolution with a voxel size of   was performed in 24 patients. A biphasic bolus injection protocol was used with the second injection being started 21 seconds after the first contrast dye bolus. Diagnostic image quality was rated according to a 4-point scale.Results. In 12 patients (50%) no clear separation between the cervical venous and arterial vessels was evident after the first bolus injection. Using TWIST-MRA data acquired after the second bolus a sufficient diagnostic image quality (rating , mean 3.5) could be obtained in 22 of 24 patients (92%).Discussion. The double bolus injection protocol using TWIST-MRA allows for very good separation of the cervical arteries.


Author(s):  
Ahmed Mohammed ◽  
Ivar Farup ◽  
Marius Pedersen ◽  
Øistein Hovde ◽  
Sule Yildirim

Capsule endoscopy, which uses a wireless camera to take images of the digestive tract, is emerging as an alternative to traditional colonoscopy. The diagnostic values of these images depend on the quality of revealed underlying tissue surfaces. In this paper, we consider the problem of enhancing the visibility of detail and shadowed tissue surfaces for capsule endoscopy images. Using concentric circles at each pixel for random walks combined with stochastic sampling, the proposed method enhances the details of vessel and tissue surfaces. The framework decomposes the image into two detail layers that contain shadowed tissue surfaces and detail features. The target pixel value is recalculated for the smooth layer using similarity of the target pixel to neighboring pixels by weighting against the total gradient variation and intensity differences. In order to evaluate the diagnostic image quality of the proposed method, we used clinical subjective evaluation with a rank order on selected KID image database and compared to state of the art enhancement methods. The result showed that the proposed method provides a better result in terms of diagnostic image quality and objective quality contrast metrics and structural similarity index.


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