Objectives: To assess the feasibility of low-dose time-resolved imaging of contrast kinetics (TRICKS) magnetic resonance (MR) angiography of the pedal vasculature at 3.0 Tesla (T) using a head coil.
Materials And Methods: Eleven healthy volunteers were imaged using TRICKS MR angiography at 3.0 T with both feet positioned in a head coil. A dose of 7 mL was used for each of 3 acquisitions: images were obtained of each foot in the sagittal plane, and then both feet were imaged simultaneously in the transverse plane. The following parameters were used for acquisition: (TR/TE 4.7 milliseconds/ 1.3 milliseconds, field of view = 28 cm, Flip angle = 30 degrees, 384 x 256 matrix, section thickness = 1.6 mm, Bandwidth = 19.23). The dorsalis pedis, plantar arch, distal posterior tibial, lateral tarsal, and medial plantar arteries were graded for visualization, artifact, and overall image quality on a 4-point scale (1 = worst; 4 = best).
Results: Superior visualization trended towards separate sagittal acquisitions when compared with that of bilateral transverse acquisitions for most of the individual vessels of the foot. Overall, separate sagittal acquisitions (average score = 2.9) were superior to bilateral transverse acquisitions (average score = 2.6). The average image quality score reflecting the amount of artifact was 2.6 for studies obtained using bilateral transverse acquisitions and 3.1 for studies obtained using separate sagittal acquisitions.
Conclusion: Low-dose gadolinium multi-injection TRICKS and bolus-chase MR angiography at 3.0 T provides an effective and easily reproducible technique for imaging of the pedal vasculature in volunteers and has great potential for clinical application.
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http://dx.doi.org/10.1097/RLI.0b013e31817ed1e3 | DOI Listing |
Bio Protoc
January 2025
Center for Translational Neuromedicine, University of Copenhagen, Copenhagen, Denmark.
Magnetic resonance imaging (MRI) is an invaluable method of choice for anatomical and functional in vivo imaging of the brain. Still, accurate delineation of the brain structures remains a crucial task of MR image evaluation. This study presents a novel analytical algorithm developed in MATLAB for the automatic segmentation of cerebrospinal fluid (CSF) spaces in preclinical non-contrast MR images of the mouse brain.
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View Article and Find Full Text PDFComput Biol Med
December 2024
Department of Mathematics, College of Science, King Khalid University, Abha, 61413, Saudi Arabia; Center for Artificial Intelligence (CAI), King Khalid University, Abha, 61421, Saudi Arabia.
Spine segmentation poses significant challenges due to the complex anatomical structure of the spine and the variability in imaging modalities, which often results in unclear boundaries and overlaps with surrounding tissues. In this research, a novel 3D Multi-Feature Attention (MFA) model is proposed for spine segmentation. The standard MobileNetv3 is modified by adding the RCBAM (Reverse Convolution Block Attention Module) module, and FPP (Feature Pyramid Pooling) for feature enhancement.
View Article and Find Full Text PDFObjective: An increasing number of studies have shown that a robotic guidance system (RGS) can provide accurate cervical pedicle screw (CPS) placement. The accuracy of CPS placement with an RGS has mostly been evaluated according to the magnitude of pedicular cortical violation. However, an RGS assists in pedicle screw (PS) placement by directly indicating the preplanned trajectory in the operative field.
View Article and Find Full Text PDFZhonghua Kou Qiang Yi Xue Za Zhi
December 2024
Institute of Medical Technology, Peking University Health Science Center, Beijing100191, China.
To explore the method of obtaining the key parameters of the average value articulator in healthy people based on mandibular movement trajectory data, with a view to providing a reference for the clinical application of the average value articulator. One hundred healthy volunteers (42 males and 58 females) with individual normal occlusion, aged 18-55 years old, who met the inclusion criteria were recruited from Beijing, and their mandibular movement trajectory data were collected. The left and right sagittal condylar inclination(SCI) and transversal condylar inclination(TCI) were obtained from the values of the articulator parameters which were generated in the mandibular movement analysis system.
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