Mapping therapeutic response in a patient with malignant glioma
SM Haney, PM Thompson, TF Cloughesy… - Journal of computer …, 2001 - journals.lww.com
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 …
of tumor tissue, as revealed through imaging markers such as contrast enhancement and …
Tracking tumor growth rates in patients with malignant gliomas: A test of two algorithms
SM Haney, PM Thompson… - American Journal …, 2001 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: Two 3D image analysis algorithms, nearest-neighbor
tissue segmentation and surface modeling, were applied separately to serial MR images in …
tissue segmentation and surface modeling, were applied separately to serial MR images in …
Tumor progression mapping: An intuitive visualization of glioblastoma progression in MR follow-ups
C Weber, B Stieltjes, J Polanska… - Proc. Annu. Meet …, 2014 - archive.ismrm.org
Tumor Progression Mapping as Intuitive Visualization of Glioblastoma Progression in MR
Follow-ups: Describes the construction of progression maps which provide an intuitive and …
Follow-ups: Describes the construction of progression maps which provide an intuitive and …
Delayed contrast extravasation MRI for depicting tumor and non-tumoral tissues in primary and metastatic brain tumors
The current standard of care for newly diagnosed glioblastoma multiforme (GBM) is
resection followed by radiotherapy with concomitant and adjuvant temozolomide. Recent …
resection followed by radiotherapy with concomitant and adjuvant temozolomide. Recent …
Semiautomatic segmentation and follow‐up of multicomponent low‐grade tumors in longitudinal brain MRI studies
L Weizman, LB Sira, L Joskowicz, DL Rubin… - Medical …, 2014 - Wiley Online Library
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 …
their slow growth rate and associated complex internal tumor components, such as …
Semi-automated segmentation of brain tumor lesions in MR images
S Saraswathy, F Crawford… - 14th Annual Meeting of …, 2006 - archive.ismrm.org
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 …
importance to clinicians in assessing the response to treatment and in guiding appropriate …
[HTML][HTML] Semiautomated workflow for clinically streamlined glioma parametric response mapping
Management of glioblastoma multiforme remains a challenging problem despite recent
advances in targeted therapies. Timely assessment of therapeutic agents is hindered by the …
advances in targeted therapies. Timely assessment of therapeutic agents is hindered by the …
Modeling the growth dynamics of glioblastoma using magnetic resonance imaging
The significant intra-and intertumoral heterogeneity of gliomas, an improved appreciation for
the biological differences among individual tumors, and the complexity of response …
the biological differences among individual tumors, and the complexity of response …
Interactive segmentation of brain tumors in MR images using 3D region growing
JE Cabral Jr, KS White, Y Kim… - Medical Imaging 1993 …, 1993 - spiedigitallibrary.org
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 …
tissue segmentation for volumetric determination. Our algorithms treat a group of stacked …
Automated MR image processing and analysis of malignant brain tumors: enabling technology for data mining
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 …
time to survival, time to tumor progression). A number of clinical trials are underway …