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Papers by M. Axer

Research paper thumbnail of Frontiers: Towards ultra-high resolution fibre tract mapping of the human brain-registration of polarised light images and reorientation of fibre vectors

Research paper thumbnail of Signal enhancement in polarized light imaging by means of independent component analysis

NeuroImage, 2010

Polarized light imaging PLI independent component analysis ICA human brain mapping Polarized ligh... more Polarized light imaging PLI independent component analysis ICA human brain mapping Polarized light imaging (PLI) enables the evaluation of fiber orientations in histological sections of human postmortem brains, with ultra-high spatial resolution. PLI is based on the birefringent properties of the myelin sheath of nerve fibers. As a result, the polarization state of light propagating through a rotating polarimeter is changed in such a way that the detected signal at each measurement unit of a chargedcoupled device (CCD) camera describes a sinusoidal signal. Vectors of the fiber orientation defined by inclination and direction angles can then directly be derived from the optical signals employing PLI analysis. However, noise, light scatter and filter inhomogeneities interfere with the original sinusoidal PLI signals. We here introduce a novel method using independent component analysis (ICA) to decompose the PLI images into statistically independent component maps. After decomposition, gray and white matter structures can clearly be distinguished from noise and other artifacts. The signal enhancement after artifact rejection is quantitatively evaluated in 134 histological whole brain sections. Thus, the primary sinusoidal signals from polarized light imaging can be effectively restored after noise and artifact rejection utilizing ICA. Our method therefore contributes to the analysis of nerve fiber orientation in the human brain within a micrometer scale.

Research paper thumbnail of Visualization of Fiber Tracts in the Postmortem Human Brain by Means of Polarized Light

Research paper thumbnail of Towards ultra-high resolution fibre tract mapping of the human brain - Registration of polarised light images and reorientation of fibre vectors

Frontiers in Human Neuroscience, 2010

Polarised light imaging (PLI) utilises the birefringence of the myelin sheaths in order to visual... more Polarised light imaging (PLI) utilises the birefringence of the myelin sheaths in order to visualise the orientation of nerve fi bres in microtome sections of adult human post-mortem brains at ultrahigh spatial resolution. The preparation of post-mortem brains for PLI involves fi xation, freezing and cutting into 100-µm-thick sections. Hence, geometrical distortions of histological sections are inevitable and have to be removed for 3D reconstruction and subsequent fi bre tracking. We here present a processing pipeline for 3D reconstruction of these sections using PLI derived multimodal images of post-mortem brains. Blockface images of the brains were obtained during cutting; they serve as reference data for alignment and elimination of distortion artefacts. In addition to the spatial image transformation, fi bre orientation vectors were reoriented using the transformation fi elds, which consider both affi ne and subsequent non-linear registration. The application of this registration and reorientation approach results in a smooth fi bre vector fi eld, which refl ects brain morphology. PLI combined with 3D reconstruction and fi bre tracking is a powerful tool for human brain mapping. It can also serve as an independent method for evaluating in vivo fi bre tractography.

Research paper thumbnail of A novel approach to the human connectome: Ultra-high resolution mapping of fiber tracts in the brain

NeuroImage, 2011

Signal transmission between different brain regions requires connecting fiber tracts, the structu... more Signal transmission between different brain regions requires connecting fiber tracts, the structural basis of the human connectome. In contrast to animal brains, where a multitude of tract tracing methods can be used, magnetic resonance (MR)-based diffusion imaging is presently the only promising approach to study fiber tracts between specific human brain regions. However, this procedure has various inherent restrictions caused by its relatively low spatial resolution. Here, we introduce 3D-polarized light imaging (3D-PLI) to map the three-dimensional course of fiber tracts in the human brain with a resolution at a submillimeter scale based on a voxel size of 100 μm isotropic or less. 3D-PLI demonstrates nerve fibers by utilizing their intrinsic birefringence of myelin sheaths surrounding axons. This optical method enables the demonstration of 3D fiber orientations in serial microtome sections of entire human brains. Examples for the feasibility of this novel approach are given here. 3D-PLI enables the study of brain regions of intense fiber crossing in unprecedented detail, and provides an independent evaluation of fiber tracts derived from diffusion imaging data.

Research paper thumbnail of IN Human Neuroscience

Research paper thumbnail of Frontiers: Towards ultra-high resolution fibre tract mapping of the human brain-registration of polarised light images and reorientation of fibre vectors

Research paper thumbnail of Signal enhancement in polarized light imaging by means of independent component analysis

NeuroImage, 2010

Polarized light imaging PLI independent component analysis ICA human brain mapping Polarized ligh... more Polarized light imaging PLI independent component analysis ICA human brain mapping Polarized light imaging (PLI) enables the evaluation of fiber orientations in histological sections of human postmortem brains, with ultra-high spatial resolution. PLI is based on the birefringent properties of the myelin sheath of nerve fibers. As a result, the polarization state of light propagating through a rotating polarimeter is changed in such a way that the detected signal at each measurement unit of a chargedcoupled device (CCD) camera describes a sinusoidal signal. Vectors of the fiber orientation defined by inclination and direction angles can then directly be derived from the optical signals employing PLI analysis. However, noise, light scatter and filter inhomogeneities interfere with the original sinusoidal PLI signals. We here introduce a novel method using independent component analysis (ICA) to decompose the PLI images into statistically independent component maps. After decomposition, gray and white matter structures can clearly be distinguished from noise and other artifacts. The signal enhancement after artifact rejection is quantitatively evaluated in 134 histological whole brain sections. Thus, the primary sinusoidal signals from polarized light imaging can be effectively restored after noise and artifact rejection utilizing ICA. Our method therefore contributes to the analysis of nerve fiber orientation in the human brain within a micrometer scale.

Research paper thumbnail of Visualization of Fiber Tracts in the Postmortem Human Brain by Means of Polarized Light

Research paper thumbnail of Towards ultra-high resolution fibre tract mapping of the human brain - Registration of polarised light images and reorientation of fibre vectors

Frontiers in Human Neuroscience, 2010

Polarised light imaging (PLI) utilises the birefringence of the myelin sheaths in order to visual... more Polarised light imaging (PLI) utilises the birefringence of the myelin sheaths in order to visualise the orientation of nerve fi bres in microtome sections of adult human post-mortem brains at ultrahigh spatial resolution. The preparation of post-mortem brains for PLI involves fi xation, freezing and cutting into 100-µm-thick sections. Hence, geometrical distortions of histological sections are inevitable and have to be removed for 3D reconstruction and subsequent fi bre tracking. We here present a processing pipeline for 3D reconstruction of these sections using PLI derived multimodal images of post-mortem brains. Blockface images of the brains were obtained during cutting; they serve as reference data for alignment and elimination of distortion artefacts. In addition to the spatial image transformation, fi bre orientation vectors were reoriented using the transformation fi elds, which consider both affi ne and subsequent non-linear registration. The application of this registration and reorientation approach results in a smooth fi bre vector fi eld, which refl ects brain morphology. PLI combined with 3D reconstruction and fi bre tracking is a powerful tool for human brain mapping. It can also serve as an independent method for evaluating in vivo fi bre tractography.

Research paper thumbnail of A novel approach to the human connectome: Ultra-high resolution mapping of fiber tracts in the brain

NeuroImage, 2011

Signal transmission between different brain regions requires connecting fiber tracts, the structu... more Signal transmission between different brain regions requires connecting fiber tracts, the structural basis of the human connectome. In contrast to animal brains, where a multitude of tract tracing methods can be used, magnetic resonance (MR)-based diffusion imaging is presently the only promising approach to study fiber tracts between specific human brain regions. However, this procedure has various inherent restrictions caused by its relatively low spatial resolution. Here, we introduce 3D-polarized light imaging (3D-PLI) to map the three-dimensional course of fiber tracts in the human brain with a resolution at a submillimeter scale based on a voxel size of 100 μm isotropic or less. 3D-PLI demonstrates nerve fibers by utilizing their intrinsic birefringence of myelin sheaths surrounding axons. This optical method enables the demonstration of 3D fiber orientations in serial microtome sections of entire human brains. Examples for the feasibility of this novel approach are given here. 3D-PLI enables the study of brain regions of intense fiber crossing in unprecedented detail, and provides an independent evaluation of fiber tracts derived from diffusion imaging data.

Research paper thumbnail of IN Human Neuroscience

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