Cloud–based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks

Abstract—Variations in the shape and appearance of anatomical structures in medical images are often relevant radiological signs of disease. Automatic tools can help automate parts of this manual process. A cloud–based evaluation framework is presented in this paper including results of benchmarking current state–of–the–art medical…

3D segmentation using perceptual computing

Abstract We present a semi-automatic tool for 3D segmentation in volumetric medial sans using natural input from the user. The input onsists of hand motions and gestures aquired using 3D amera. Our method onsists of ve steps: 1) initial 2D…

Detection and correction of volumetric medical image segmentation errors by 3D-ray casting and Laplace deformation

Abstract Purpose Patient-specific models of anatomical structures and pathologies generated from volumetric medical images play an increasingly central role in many aspects of patient care. A key task in generating these models is the segmentation of anatomical structures and pathologies of interest. Although numerous…

Tumor burden evaluation in NF1 patients with plexiform neurofibromas in daily clinical practice

Abstract Background Existing volumetric measurements of plexiform neurofibromas (PNs) are time consuming and error prone, as they require delineation of PN boundaries, a procedure that is not practical in the typical clinical setting. The aim of this study is to…

The Effect of Chemotherapy on Optic Pathway Gliomas and Their Sub-Components: A Volumetric MR Analysis Study

Abstract Background. Optic pathway gliomas (OPG) represent 5% of pediatric brain tumors and compose a major therapeutic dilemma to the treating physicians. While chemotherapy is widely used for these tumors, our ability to predict radiological response is still lacking. In…

The role of automatic computer-aided surgical trajectory planning in improving the expected safety of stereotactic neurosurgery

Abstract Purpose Minimal invasion computer-assisted neurosurgical procedures with various tool insertions into the brain may carry hemorrhagic risks and neurological deficits. The goal of this study is to investigate the role of computer-based surgical trajectory planning tools in improving the…

Schizophrenia patients di erentiation based on MR vascular perfusion and volumetric imaging

Abstract Candecomp/Parafac Decomposition (CPD) has emerged as a framework for modeling N-way arrays (higher-order matrices). CPD is naturally well suited for the analysis of data sets comprised of observations of a function of multiple discrete indices. In this study we…

Medical case-based retrieval of patient records using the RadLex hierarchical lexicon

Abstract We present a new method for the retrieval radiological cases from a database of clinical cases described by terms from the RadLex lexicon. The input is an database of cases and a query consisting of the patient volumetric scan,…

Semiautomatic segmentation and follow-up of multicomponent low-grade tumors in longitudinal brain MRI studies

Abstract Purpose: Tracking the progression of low grade tumors (LGTs) is a challenging task, due to their slow growth rate and associated complex internal tumor components, such as heterogeneous enhancement, hemorrhage, and cysts. In this paper, the authors show a…

PNist: interactive volumetric measurements of plexiform neurofibromas in MRI scans

Abstract Purpose Volumetric measurements of plexiform neurofibromas (PNs) are time consuming and error prone, as they require the delineation of the PN boundaries, which is mostly impractical in the daily clinical setup. Accurate volumetric measurements are seldom performed for these…

Fast MRI for repeated scans

Abstract Radiological assessment of brain disease progression and response to therapy is often performed with repeated MRI scans acquired every few weeks/months. In these longitudinal studies, each scan is acquired anew without taking into account the information present in previous…

Automatic methods for tumor segmentation and follow-up in MR images

Abstract Magnetic resonance imaging (MRI) is the method of choice for the noninvasive assessment of tumors. The common treatment evaluation of tumors is based on MRI scans acquired every several weeks or months. It is crucial to accurately quantify the…

Image Segmentation Errors Correction by Mesh Segmentation and Deformation

Abstract Volumetric image segmentation methods often produce delineations of anatomical structures and pathologies that require user modifications. We present a new method for the correction of segmentation errors. Given an initial geometrical mesh, our method semi automatically identifies the mesh…

Quantitative functional MRI Biomarkers Improved Early Detection of Colorectal Liver Metastases

Abstract Purpose: To implement and evaluate the performance of a computerized statistical tool designed for robust and quantitative analysis of hemodynamic response imaging (HRI) -derived maps for the early identification of colorectal liver metastases (CRLM). Materials and Methods: CRLM-bearing mice…

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