Co-Planar Stereotaxic Atlas of the Human Brain—3-Dimensional Proportional System: An Approach to Cerebral Imaging, J. Talairach, P. Tournoux. Georg Thieme Verlag, New York (1988), 122 pp., 130 figs. DM 268

Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion

http://people.csail.mit.edu/msabuncu/SelectPublications/Neuroimage2012VanDijk.pdf

The influence of head motion on intrinsic functional connectivity MRI.

Support structures for positioning sensors on a physiologic tunnel for measuring physical, chemical and biological parameters of the body and to produce an action according to the measured value of the parameters. The support structure includes a sensor fitted on the support structures using a special geometry for acquiring continuous and undisturbed data on the physiology of the body. Signals are transmitted to a remote station by wireless transmission such as by electromagnetic waves, radio waves, infrared, sound and the like or by being reported locally by audio or visual transmission. The physical and chemical parameters include brain function, metabolic function, hydrodynamic function, hydration status, levels of chemical compounds in the blood, and the like. The support structure includes patches, clips, eyeglasses, head mounted gear and the like, containing passive or active sensors positioned at the end of the tunnel with sensing systems positioned on and accessing a physiologic tunnel.

Apparatus and method for measuring biologic parameters

Magnetic resonance imaging apparatus

In functional magnetic resonance imaging (fMRI) head motion can corrupt the signal changes induced by brain activation. This paper describes a novel technique called Prospective Acquisition CorrEction (PACE) for reducing motion-induced effects on magnetization history. Full three-dimensional rigid body estimation of head movement is obtained by image-based motion detection to a high level of accuracy. Adjustment of slice position and orientation, as well as regridding of residual volume to volume motion, is performed in real-time during data acquisition. Phantom experiments demonstrate a high level of consistency (translation < 40 microm; rotation < 0.05 degrees ) for detected motion parameters. In vivo experiments were carried out and they showed a significant decrease of variance between successively acquired datasets compared to retrospective correction algorithms.

https://onlinelibrary.wiley.com/doi/pdf/10.1002/1522-2594%28200009%2944%3A3%3C457%3A%3AAID-MRM17%3E3.0.CO%3B2-R

Prospective acquisition correction for head motion with image‐based tracking for real‐time fMRI

In a method for the operation of a magnetic resonance apparatus, in a first examination of an examination subject, a first scout dataset of the examination subject is produced and with reference to which at least one first slice of an examination subject to be imaged is determined. A further scout dataset of the examination subject is produced in at least one further examination of the examination subject temporally following the first examination. A change in position between the first and the further scout dataset is identified, and at least one further slice of the examination subject to be imaged is defined according to the identified positional change, this at least one further slice exhibiting an identical positioning within the examination subject with respect to the first slice.

Method for operating a magnetic resonance imaging apparatus ensuring coincidence of images obtained in different examinations with respectively different positions of a subject

A method for lesion segmentation in 3-dimensional (3D) digital images, includes selecting a 2D region of interest (ROI) from a 3D image, the ROI containing a suspected lesion, extending borders of the ROI to 3D forming a volume of interest (VOI), where voxels on the borders of the VOI are initialized as background voxels and voxels in an interior of the VOI are initialized as foreground voxels, propagating a foreground and background voxel competition where for each voxel in the VOI, having each neighbor voxel in a neighborhood of the voxel attack the voxel, and, if the attack is successful, updating a label and strength of the voxel with that of the successful attacking voxel, and evolving a surface between the foreground and background voxels in 3D until an energy functional associated with the surface converges in value, where the surface segments the suspected lesion from the image.

System and method for lesion segmentation in whole body magnetic resonance images

We present a method for fast and automatic labeling of anatomical structures in MR FastView localizer images, which can be useful for automatic MR examination planning. FastView is a modern MR protocol, that provides larger planning fields of view than previously available with isotropic 3D resolution by scanning during continuous movement of the patient table. Hence, full 3D information is obtained within short acquisition time. Anatomical labeling is done by registering the images to a statistical atlas created from training image data beforehand. The statistical atlas consists of a statistical model of deformation and a statistical model of grey value appearance. It is generated by non-rigid registration and principal component analysis of the resulting deformation fields and registered images. Labeling of an unseen FastView image is done by non-rigid registration of the image to the statistical atlas and propagating the labels from the atlas to the image. In our implementation, the statistical models of deformation and appearance are both implemented on the GPU (graphics processing unit), which permits computing the atlas based labeling using GPU hardware acceleration. The running times of about 10 to 30 seconds are of the same magnitude as the image acquisition itself, which allows for practical usage in clinical MR routine.

/pdf/automatic-labeling-of-anatomical-structures-in-mr-fastview-57ke1a7vtv.pdf

Automatic Labeling of Anatomical Structures in MR FastView Images Using a Statistical Atlas

In a method for the implementation of a perfusion measurement with magnetic resonance imaging, image datasets of a region of an examination subject to be imaged and positioned in an imaging volume of a magnetic resonance apparatus are generated in a time sequence, positional changes of the region to be imaged that occur relative to the imaging volume during the time sequence are acquired, and a correction of influences of the positional changes on the image datasets ensues according to the acquired positional changes.

Stefan Thesen

Papers

Prospective acquisition correction for head motion with image‐based tracking for real‐time fMRI

Method for operating a magnetic resonance imaging apparatus ensuring coincidence of images obtained in different examinations with respectively different positions of a subject

System and method for lesion segmentation in whole body magnetic resonance images

Automatic Labeling of Anatomical Structures in MR FastView Images Using a Statistical Atlas

Method for the implementation of a perfusion measurement with magnetic resonance imaging