Short-interval scanning of patients offers a detailed understanding of the natural progression
of tumor tissue, as revealed through imaging markers such as contrast enhancement and …

BACKGROUND AND PURPOSE: Two 3D image analysis algorithms, nearest-neighbor
tissue segmentation and surface modeling, were applied separately to serial MR images in …

Tumor Progression Mapping as Intuitive Visualization of Glioblastoma Progression in MR
Follow-ups: Describes the construction of progression maps which provide an intuitive and …

The current standard of care for newly diagnosed glioblastoma multiforme (GBM) is
resection followed by radiotherapy with concomitant and adjuvant temozolomide. Recent …

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 …

Objective, rapid and reproducible methods of measuring tumor volume are of utmost
importance to clinicians in assessing the response to treatment and in guiding appropriate …

Management of glioblastoma multiforme remains a challenging problem despite recent
advances in targeted therapies. Timely assessment of therapeutic agents is hindered by the …

The significant intra-and intertumoral heterogeneity of gliomas, an improved appreciation for
the biological differences among individual tumors, and the complexity of response …

We have developed an interactive software package designed to assist the radiologist in
tissue segmentation for volumetric determination. Our algorithms treat a group of stacked …

Glioblastoma multiforme (GBM) is a malignant brain cancer with poor patient prognosis (ie
time to survival, time to tumor progression). A number of clinical trials are underway …