Regiomontanus angle maximization for catadioptric sensors with paraboloidal mirrors.

Dioptric cameras with conventional perspective projection have well established analytical properties. However, they suffer from perspective distortions and only have a limited field of view. Catadioptric cameras offer panoramic imaging.

Quantitative Assessment of Breast-Tumor Stiffness Using Shear-Wave Elastography Histograms.

Purpose: Shear-wave elastography (SWE) measures tissue elasticity using ultrasound waves. This study proposes a histogram-based SWE analysis to improve breast malignancy detection. Methods: N = 22/32 (patients/tumors) benign and n = 51/64 malignant breast tumors with histological ground truth.

Computer aided detection in prostate cancer diagnostics: A promising alternative to biopsy? A retrospective study from 104 lesions with histological ground truth.

Background: Prostate cancer (PCa) diagnosis by means of multiparametric magnetic resonance imaging (mpMRI) is a current challenge for the development of computer-aided detection (CAD) tools. An innovative CAD-software (Watson Elementary™) was proposed to achieve high sensitivity and specificity, as well as to allege a correlate to Gleason grade.

Aim/objective: To assess the performance of Watson Elementary™ in automated PCa diagnosis in our hospital´s database of MRI-guided prostate biopsies.

Non-Parametric Bayesian Registration (NParBR) of Body Tumors in DCE-MRI Data.

The identification of tumors in the internal organs of chest, abdomen, and pelvis anatomic regions can be performed with the analysis of Dynamic Contrast Enhanced Magnetic Resonance Imaging (DCE-MRI) data. The contrast agent is accumulated differently by pathologic and healthy tissues and that results in a temporally varying contrast in an image series. The internal organs are also subject to potentially extensive movements mainly due to breathing, heart beat, and peristalsis.

Bi-modal Non-rigid Registration of Brain MRI Data with Deconvolution of Joint Statistics.

A brain MRI protocol typically includes several imaging contrasts that can provide complementary information by highlighting different tissue properties. The acquired datasets often need to be co-registered or placed in a standard anatomic space before any further processing. Current registration methods particularly for multicontrast data are computationally very intensive, their resolution is lower than that of the images, and their distance metric and its optimization can be limiting.

Registration of abdominal tumor DCE-MRI data based on deconvolution of joint statistics.

The analysis of Dynamic Contrast Enhanced Magnetic Resonance Imaging (DCE-MRI) data of body tumors presents several challenges. The accumulation of contrast agent in tissues results in a temporally varying contrast in an image series. At the same time, the body regions are subject to potentially extensive motion mainly due to breathing, heart beat, and peristalsis.

Joint restoration of bi-contrast MRI data for spatial intensity non-uniformities.

The reconstruction of MRI data assumes a uniform radiofrequency field. However, in practice the radio-frequency field is inhomogeneous and leads to non-biological intensity non-uniformities across an image. This artifact can complicate further automated analysis of the data.

A comparison of different automated methods for the detection of white matter lesions in MRI data.

White matter hyperintensities (WMH) are the focus of intensive research and have been linked to cognitive impairment and depression in the elderly. Cumbersome manual outlining procedures make research on WMH labour intensive and prone to subjective bias. This study compares fully automated supervised detection methods that learn to identify WMH from manual examples against unsupervised approaches on the combination of FLAIR and T1 weighted images.

Volumetric analysis of MRI data monitoring the treatment of polycystic kidney disease in a mouse model.

Object: The human condition autosomal dominant polycystic kidney disease (ADPKD) is characterized by the growth of cysts in the kidneys that increase renal volume and lead to kidney failure. Mice studies are performed for treatment development monitored with imaging. The analysis of the imaging data is typically manual, which is costly and potentially biased.

Characterization of white matter degeneration in elderly subjects by magnetic resonance diffusion and FLAIR imaging correlation.

Fluid attenuated inversion recovery (FLAIR) and diffusion tensor imaging (DTI) techniques have been widely used to evaluate white matter (WM) alterations associated with aging, dementia and cerebral vascular disease. The relationship between FLAIR detected WM lesions (WML) and DTI detected WM integrity changes, however, remains unclear. To investigate this association, voxelwise correlations between 4 Tesla DTI and FLAIR images from elderly subjects were performed by relating WML volume and intensity in FLAIR to fractional anisotropy (FA) and mean diffusivity (MD) in DTI.

Analysis of MR images of mice in preclinical treatment monitoring of polycystic kidney disease.

A common cause of kidney failure is autosomal dominant polycystic kidney disease (ADPKD). It is characterized by the growth of cysts in the kidneys and hence the growth of the entire kidneys with eventual failure in most cases by age 50. No preventive treatment for this condition is available.

Computational atlases of severity of white matter lesions in elderly subjects with MRI.

MRI of cerebral white matter may show regions of signal abnormalities. These changes may be associated with hypertension, inflammation, or ischemia, as well as altered brain function. The goal of this work has been to construct computational atlases of white matter lesions that represent both their severity as well as the frequency of their occurrence in a population to achieve a better classification of white matter disease.

Restoration of MRI data for intensity non-uniformities using local high order intensity statistics.

MRI at high magnetic fields (>3.0 T) is complicated by strong inhomogeneous radio-frequency fields, sometimes termed the "bias field". These lead to non-biological intensity non-uniformities across the image.

Motion tracking of the outer tips of microtubules.

Microtubules are tubular biopolymers of the cytoplasm. They play numerous critical roles in a cell such as providing mechanical support and structural tracks for the anchoring and transport of chromosomes, organelles, and vesicles. They also form the microtubule assembly, which is critical for the coordination of mitosis and cell migration.

Restoration of MRI Data for Field Nonuniformities using High Order Neighborhood Statistics.

MRI at high magnetic fields (> 3.0 T ) is complicated by strong inhomogeneous radio-frequency fields, sometimes termed the "bias field". These lead to nonuniformity of image intensity, greatly complicating further analysis such as registration and segmentation.

Segmentation and 3D reconstruction of microtubules in total internal reflection fluorescence microscopy (TIRFM).

The interaction of the microtubules with the cell cortex plays numerous critical roles in a cell. For instance, it directs vesicle delivery, and modulates membrane adhesions pivotal for cell movement as well as mitosis. Abnormal function of the microtubules is involved in cancer.