Automatic lung tumor segmentation with leaks removal in follow-up CT studies

Abstract Purpose In modern oncology, disease progression and response to treatment are routinely evaluated with a series of volumetric scans. The number of tumors and their volume (mass) over time provides a quantitative measure for the evaluation. Thus, many of…

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…

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…

Automatic lung tumor segmentation with leaks removal in follow-up CT studies

Abstract We present a novel automatic algorithm for lung tumors segmentation in follow-up CT studies. The inputs are a baseline CT scan and a delineation of the tumors in it; the output is the tumor delineations in the follow-up scan.…

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…

Interactive segmentation of plexiform neurofibroma tissue: method and preliminary performance evaluation

Abstract Plexiform neurofibromas (PNs) are a major manifestation of neurofibromatosis-1 (NF1), a common genetic disease involving the nervous system. Treatment decisions are mostly based on a gross assessment of changes in tumor using MRI. Accurate volumetric measurements are rarely performed…

Insights into Volumetric and Sub Segmentation Long-term Analysis of Treated OPG Patients Receiving Chemotherapy

Abstract INTRODUCTION: Optic pathway gliomas pose a major management difficulty in NF1 and sporadic patients. Diagnosis and follow up are heavily based on multiple MR imaging. Currently, assessment of tumor volume and response to treatment is based on single slice…

Prediction of Brain MR Scans in Longitudinal Tumor Follow-Up Studies

Abstract We present a new method for the estimation of the next brain MR scan in a longitudinal tumor follow-up study. Our method effectively incorporates information of the past scans in the time series to predict the future scan of…

MRI internal segmentation of optic pathway gliomas: clinical implementation of a novel algorithm

Abstract Purpose Optic pathway gliomas (OPGs) are diagnosed based on typical MR features and require careful monitoring with serial MRI. Reliable, serial radiological comparison of OPGs is a difficult task, where accuracy becomes very important for clinical decisions on treatment…

Automatic segmentation, internal classification, and follow-up of optic pathway gliomas in MRI

Abstract This paper presents an automatic method for the segmentation, internal classification and follow-up of optic pathway gliomas (OPGs) from multi-sequence MRI datasets. Our method starts with the automatic localization of the OPG and its core with an anatomical atlas…

Longitudinal Assessment of Brain Tumors Using a Repeatable Prior-based Segmentation

Abstract This paper presents an automatic method for a repeatable, prior-based segmentation and classification of brain tumors in longitudinal MR scans. The method is designed to overcome the inter/intra observer variability and to provide a repeatable delineation of the tumor…

Automatic Segmentation and Components Classification of Optic Pathway Gliomas in MRI

Abstract We present a new method for the automatic segmentation and components classification of brain Optic Pathway Gliomas (OPGs) from multi-spectral MRI datasets. Our method accurately identifies the sharp OPG boundaries and consistently delineates the missing contours by effectively incorporating…

Automatic Segmentation of Optic Pathway Gliomas in MRI

Abstract This paper presents an automatic method for the segmentation of Optic Pathway Gliomas (OPGs) from multi-spectral MRI datasets. The method starts with the automatic localization of the OPG and its core with an anatomical tumor atlas followed by a…

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