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59
Coil sensitivity encoding for fast MRI. In:
- Proceedings of the ISMRM 6th Annual Meeting,
, 1998
"... New theoretical and practical concepts are presented for considerably enhancing the performance of magnetic resonance imaging (MRI) by means of arrays of multiple receiver coils. Sensitivity encoding (SENSE) is based on the fact that receiver sensitivity generally has an encoding effect complementa ..."
Abstract
-
Cited by 193 (3 self)
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New theoretical and practical concepts are presented for considerably enhancing the performance of magnetic resonance imaging (MRI) by means of arrays of multiple receiver coils. Sensitivity encoding (SENSE) is based on the fact that receiver sensitivity generally has an encoding effect
Functional Dynamic Contrast-Enhanced Magnetic Resonance Imaging in an Animal Model of Brain Metastases: A Pilot Study
"... Background: Brain metastasis is a common disease with a poor prognosis. The purpose of this study is to test feasibility and safety of the animal models for brain metastases and to use dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) to enhance detection of brain metastases. Methods: W ..."
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Background: Brain metastasis is a common disease with a poor prognosis. The purpose of this study is to test feasibility and safety of the animal models for brain metastases and to use dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) to enhance detection of brain metastases. Methods
A Discriminative Model-Constrained Graph Cuts Approach to Fully Automated Pediatric Brain Tumor Segmentation in 3-D MRI
"... Abstract. In this paper we present a fully automated approach to the segmentation of pediatric brain tumors in multi-spectral 3-D magnetic resonance images. It is a top-down segmentation approach based on a Markov random field (MRF) model that combines probabilistic boosting trees (PBT) and lower-le ..."
Abstract
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Cited by 10 (1 self)
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Abstract. In this paper we present a fully automated approach to the segmentation of pediatric brain tumors in multi-spectral 3-D magnetic resonance images. It is a top-down segmentation approach based on a Markov random field (MRF) model that combines probabilistic boosting trees (PBT) and lower
IMAGE OF THE MONTH 18F-FDG PET detection of spinal leptomeningeal metastases
, 2011
"... A 59-year-old man who presented with weight loss and fatigue showed no pathological findings on the contrast-enhanced thorax/abdominal CT scan, but a single frontal nodular lesion on the contrast-enhanced cranial CT scan (a) that was considered to represent a single cerebral metastases from an unkno ..."
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A 59-year-old man who presented with weight loss and fatigue showed no pathological findings on the contrast-enhanced thorax/abdominal CT scan, but a single frontal nodular lesion on the contrast-enhanced cranial CT scan (a) that was considered to represent a single cerebral metastases from
Automatic Detection of Brain Abnormalities and Tumor Segmentationin MRI Sequence
"... Abstract- This paper presents an automated and clinicallytested method for detection of brain abnormalities and tumor-edema segmentation using the MRI sequences. It follows a Radiologist’s approach to the brain diagnosis using multiple MRI sequences instead of any prior models or training phases. Ou ..."
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of the brain c) Determination of the region of abnormality using its hyper-intense nature. d) Separation of tumor from edema using the T1 and its postcontrast (enhanced) sequences and e) Estimation of the volume of tumor found and generation of an anatomical differential of the possible disorders
Active Mask Framework for Segmentation of Fluorescence Microscope Images
"... m]]l]]s¶D]]¿÷mB]iv]b]oD]m¶¨]iv]§]iv]r]j]t¿rv]]irj]]t]]m] / | ap]]r¿]ÎNy]s¶D]]mb¶r]ix} Û]Ix]]rd]mb]} p—N]t]o%ism] in]ty]m] / || Û]Is]¡uÎc]rN]]riv]nd]p]*N]m]st¶ I always bow to Śri ̄ Śāradāmbā, the limitless ocean of the nectar of compassion, who bears a rosary, a vessel of nectar, the symbol of ..."
Abstract
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m]]l]]s¶D]]¿÷mB]iv]b]oD]m¶¨]iv]§]iv]r]j]t¿rv]]irj]]t]]m] / | ap]]r¿]ÎNy]s¶D]]mb¶r]ix} Û]Ix]]rd]mb]} p—N]t]o%ism] in]ty]m] / || Û]Is]¡uÎc]rN]]riv]nd]p]*N]m]st¶ I always bow to Śri ̄ Śāradāmbā, the limitless ocean of the nectar of compassion, who bears a rosary, a vessel of nectar, the symbol
The Detection and Visualization of Brain Tumors on T2- Weighted MRI Images Using Multiparameter Feature Blocks
"... Abstract — The main topic of this paper is to segment brain tumors, their components (edema and necrosis) and internal structures of the brain in 3D MR images. For tumor segmentation we propose a framework that is a combination of region-based and boundary-based paradigms. In this framework, segment ..."
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Abstract — The main topic of this paper is to segment brain tumors, their components (edema and necrosis) and internal structures of the brain in 3D MR images. For tumor segmentation we propose a framework that is a combination of region-based and boundary-based paradigms. In this framework
Cuts Approach to Fully Automated Pediatric Brain Tumor Segmentation in 3-D MRI
"... Abstract. In this paper we present a fully automated approach to the segmentation of pediatric brain tumors in multi-spectral 3-D magnetic resonance images. It is a top-down segmentation approach based on a Markov random field (MRF) model that combines probabilistic boosting trees (PBT) and lower-le ..."
Abstract
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Abstract. In this paper we present a fully automated approach to the segmentation of pediatric brain tumors in multi-spectral 3-D magnetic resonance images. It is a top-down segmentation approach based on a Markov random field (MRF) model that combines probabilistic boosting trees (PBT) and lower
Original Research Computer-Aided Detection of Metastatic Brain Tumors Using Automated Three-Dimensional Template Matching
"... Purpose: To demonstrate the efficacy of an automated three-dimensional (3D) template matching-based algo-rithm in detecting brain metastases on conventional MR scans and the potential of our algorithm to be developed into a computer-aided detection tool that will allow radiol-ogists to maintain a hi ..."
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Purpose: To demonstrate the efficacy of an automated three-dimensional (3D) template matching-based algo-rithm in detecting brain metastases on conventional MR scans and the potential of our algorithm to be developed into a computer-aided detection tool that will allow radiol-ogists to maintain a
A novel method for volumetric MRI response assessment of enhancing brain tumors. PLoS One 2011
"... Current radiographic response criteria for brain tumors have difficulty describing changes surrounding postoperative resection cavities. Volumetric techniques may offer improved assessment, however usually are time-consuming, subjective and require expert opinion and specialized magnetic resonance i ..."
Abstract
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Cited by 2 (1 self)
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imaging (MRI) sequences. We describe the application of a novel volumetric software algorithm that is nearly fully automated and uses standard T1 pre- and post-contrast MRI sequences. T1-weighted pre- and post-contrast images are automatically fused and normalized. The tumor region of interest is grossly
Results 1 - 10
of
59
