Deformable multisurface segmentation of the spine for orthopedic surgery planning and simulation.

We describe a shape-aware multisurface simplex deformable model for the segmentation of healthy as well as pathological lumbar spine in medical image data. This model provides an accurate and robust segmentation scheme for the identification of intervertebral disc pathologies to enable the minimally supervised planning and patient-specific simulation of spine surgery, in a manner that combines multisurface and shape statistics-based variants of the deformable simplex model. Statistical shape variation within the dataset has been captured by application of principal component analysis and incorporated during the segmentation process to refine results.

3D lumbar spine intervertebral disc segmentation and compression simulation from MRI using shape-aware models.

Purpose: More accurate and robust image segmentations are needed for identification of spine pathologies and to assist with spine surgery planning and simulation. A framework for 3D segmentation of healthy and herniated intervertebral discs from T2-weighted magnetic resonance imaging was developed that exploits weak shape priors encoded in simplex mesh active surface models.

Methods: Weak shape priors inherent in simplex mesh deformable models have been exploited to automatically segment intervertebral discs.

Admission insular infarction >25% is the strongest predictor of large mismatch loss in proximal middle cerebral artery stroke.

Background And Purpose: Previous univariate analyses have suggested that proximal middle cerebral artery infarcts with insular involvement have greater severity and are more likely to progress into surrounding penumbral tissue at risk. We hypothesized that a practical, simple scoring method to assess percent insular ribbon infarction (PIRI score) would improve prediction of penumbral loss over other common imaging biomarkers.

Methods: Of consecutive acute stroke patients from 2003 to 2008, 45 with proximal middle cerebral artery-only occlusion met inclusion criteria, including available penumbral imaging.

Diagnostic characteristics of sinonasal organizing hematomas: avoiding misdiagnosis.

Background: Organizing hematomas of the paranasal sinuses are diagnostic dilemmas clinically and radiographically, mimicking benign or malignant neoplastic processes and causing patients and clinicians undue worry regarding these diagnoses. Diagnostic criteria for correctly identifying these lesions are not well known.

Methods: A retrospective case series of 7 patients with sinonasal organizing hematoma was studied.