#Inmr registration how to
#Inmr registration registration

N-acetylaspartate (NAA) peak: resonates at 2.0 ppm.glutamine-glutamate peak: resonates at 2.2-2.4 ppm.gamma-aminobutyric acid (GABA) peak: resonates at 2.2-2.4 ppm.2-hydroxyglutarate peak: resonates at 2.25 ppm.arterial spin labeling (ASL) MR perfusion.dynamic contrast enhanced (DCE) MR perfusion.dynamic susceptibility contrast (DSC) MR perfusion.metal artifact reduction sequence (MARS).turbo inversion recovery magnitude (TIRM).

fluid attenuation inversion recovery (FLAIR).diffusion tensor imaging and fiber tractography.

MRI pulse sequences ( basics | abbreviations | parameters).iodinated contrast-induced thyrotoxicosis.iodinated contrast media adverse reactions.clinical applications of dual-energy CT.as low as reasonably achievable (ALARA).slice-overlap artifact (also known as cross-talk artifact)įourier transform and Nyquist sampling theorem.aliasing artifact (also known as wrap around artifact).Many artifacts have a characteristic appearance and with experience they can be readily identified. Remember that artifacts are not all bad, and that occasionally they are intentionally exploited, e.g. Hardware issues may cause central point and RF overflow artifacts. Characteristics of pulse sequences may cause black boundary, Moiré, and phase-encoding artifacts. Finite sampling, k-space encoding, and Fourier transformation may cause aliasing and Gibbs artifact.

#Inmr registration how to

presence of anatomy outside the image fieldĬlassification of the artifact type may give one an idea about how to try to fix it.Īrtifacts are caused by a variety of factors that may be patient-related such as voluntary and physiologic motion, metallic implants or foreign bodies.

fast spin echo, gradient, volumetric acquisition When encountering an unfamiliar artifact, it is useful to systematically examine general features of the artifact to try and understand its general class. Some artifacts affect the quality of the MRI exam while others do not affect the diagnostic quality but may be confused with pathology. 2513-2520, 2003.MRI artifacts are numerous and give an insight into the physics behind each sequence. Sun, 'Circular shortest paths by branch and bound,' Pattern Recognition, vol. Faugeras, 'Variational methods for multimodal image matching,' International Journal of Computer Vision. Grady, '3D general lesion segmentation in CT,' in ISBI, 2008. Pattern Analysis and Machine Intelligence, vol. Carvalho, 'Multiseeded segmentation using fuzzy connectedness,' IEEE Trans. Jolly, 'Automatic recovery of the left ventricular blood pool in cardiac cine MR images,' in MICCAI, 2008.

#Inmr registration registration

'Combining registration and minimum surfaces for the segmentation of the left ventricle in cardiac cine MR images,' in MICCAI, 2009. Willsky, 'Segmentation of the evolving left ventricle by learning the dynamics,' in ISBI, 2008. Paragios, 'A level set approach for shape-driven segmentation and tracking of the left ventricle,' IEEE Trans.

Sonka, 'Multistage hybrid active appearance model matching: Segmentation of the left and right ventricles in cardiac MR images,' IEEE Trans. Kakadiaris, 'Localization and segmentation of left ventricle in cardiac cinema images,' IEEE Trans. Rueckert, 'Segmentation of 4D cardiac MR images using a probabilistic atlas and the EM algorithm,' Medical Image Analysis.