Section III: Morphology, Intraoperative Imaging, and Image Processing
- High Resolution T1Ï Mapping of In Vivo Human Knee Cartilage at 7T. Singh, Anup; Haris, Mohammad; Cai, Kejia; Kogan, Feliks; Hariharan, Hari; Reddy, Ravinder // PLoS ONE;May2014, Vol. 9 Issue 5, p1
Purpose: Spin lattice relaxation time in rotating frame (T1Ï) mapping of human knee cartilage has shown promise in detecting biochemical changes during osteoarthritis. Due to higher field strength, MRI at 7T has advantages in term of SNR compared to clinical MR scanners and this can be used...
- Ellipsoidal Coil for Magnetic Resonance Spectroscopy. Hernandez, R.; Rodriguez, A.O.; Salgado, P.; Barrios, F.A. // AIP Conference Proceedings;2003, Vol. 682 Issue 1, p205
We developed an ellipse-shaped surface coil for magnetic resonance spectroscopy for a 1.5 T clinical MR Imager. This coil is to be used to obtain spectra from arms and legs. Standard volume and single-loop coils provide a poor signal because they can not be placed close to the region of interest...
- Evaluation of cartilage surface injuries using 3D-double echo steady state (3D-DESS): Effect of changing flip angle from 40Â° to 90Â°. Moriya, Susumu; Miki, Yukio; Kanagaki, Mitsunori; Yamamoto, Akira; Okudaira, Shuzo; Nakamura, Shinichiro; Yokobayashi, Tsuneo; Ishikawa, Mitsunori // Acta Radiologica;Dec2011, Vol. 52 Issue 10, p1138
In magnetic resonance imaging (MRI) with 3D-double-echo steady-state (3D-DESS) sequences, the cartilage-synovial fluid contrast is reported to be better with a flip angle of 90Â° than with the conventional flip angle of 40Â°, and the detection rate of knee cartilage injury may be improved....
- Reproducibility of 3D delayed gadolinium enhanced MRI of cartilage (dGEMRIC) of the knee at 3.0 T in patients with early stage osteoarthritis. Tiel, J.; Bron, E.; Tiderius, C.; Bos, P.; Reijman, M.; Klein, S.; Verhaar, J.; Krestin, G.; Weinans, H.; Kotek, G.; Oei, E. // European Radiology;Feb2013, Vol. 23 Issue 2, p496
Objectives: To assess the reproducibility of 3D delayed gadolinium-enhanced MRI of cartilage (dGEMRIC) at 3 T in early stage knee osteoarthritis (OA) patients. Methods: In 20 patients, 3D dGEMRIC at 3 T was acquired twice within 7 days. To correct for patient motion during acquisition, all...
- Three-dimensional visualization of physiologically based kinetic model outputs Nichols, John; McGeachie, Robert; Lothenbach, Douglas; Rheingans, Penny; McKim, James; Skow, Loren // Environmental Health Perspectives;Nov1994, Vol. 102 Issue 11, p952
No abstract available.
- Visionary insight for arterial issues. // Engineer (00137758);3/14/2011, Vol. 296 Issue 7812, p14
The article reports on the ability of magnetic resonance imaging to visualise plaque build-up in patients' arteries in three dimensions and in aiding decision making in treatment plans in Great Britain.
- VOLUMETRIC INTERPOLATED BREATHHOLD EXAMINATION (VIBE) FOR ABDOMINAL IMAGING. Rofsky, N.M.; Lee, V.S.; Lavelle, M.; Krinsky, G.; Laub, G.; Thomasson, D.; Weinreb, J.C. // Acta Radiologica;Apr2000 Supplement 422, Vol. 41, p42
Evaluates magnetic resonance images of the abdomen obtained with a T1-weighted, three-dimensional, gradient echo technique. Comparison with a two-dimensional technique; Quality of arterial phase three-dimensional images.
- Erratum to: Single centre experience of the application of self navigated 3D whole heart cardiovascular magnetic resonance for the assessment of cardiac anatomy in congenital heart disease. // Journal of Cardiovascular Magnetic Resonance (BioMed Central);10/7/2015, Vol. 17 Issue 1, p1
A correction to the article "Single Centre Experience of the Application of Self Navigated 3D Whole Heart Cardiovascular Magnetic Resonance for the Assessment of Cardiac Anatomy in Congenital Heart Disease" by Pierre Monney, Davide Piccini and Tobias Rutz is presented.
- 3-Dimensional brain MRI Segmentation based on Multi-Layer Background Subtraction and Seed Region Growing Algorithm. Xiao-hong WANG; Bin LIU; Zhi-qiang SONG // Applied Mechanics & Materials;2014, Issue 536-537, p218
Segmentation of brain MRI in an image sequence is one of the most challenging problems in image processing, while at the same time one that finds numerous applications. In this paper, we propose a robust multi-layer background subtraction technique and seed region growing approach which takes...