A-contrario localization of epileptogenic zones in SPECT images

Aguerrebere, Cecilia; Sprechmann, Pablo; Musé, Pablo; Ferrando, R

doi:10.1109/isbi.2009.5193111

Cited by 6 publications

(8 citation statements)

References 7 publications

(13 reference statements)

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“…This theory has been applied to medical image processing, for instance for opacities detection in mammography [8] or epileptogenic zone detection [9].…”

Section: A Contrario Detection Of Focal Perfusion Abnormalitiesmentioning

confidence: 99%

A contrario detection of focal brain perfusion abnormalities based on an arterial spin labeling template

Maumet

Maurel

Bannier

et al. 2012

2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)

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Arterial Spin Labeling (ASL) is a recent MRI perfusion technique which enables quantification of cerebral blood flow (CBF). The presence of regions with atypical CBF can characterize a pathology. In brain tumors for instance, perfusion increase can be directly related to the grading of the malignant tissues. It is therefore of great interest to identify these regions in order to provide the patients with the most appropriate therapy.In this paper, we propose to detect abnormal brain perfusion by using an a contrario framework and an ASL template as a model of normal perfusion. Validation was undertaken by qualitative comparison with CBF extracted from dynamic susceptibility weighted contrast enhanced (DSC) imaging. We experimented this framework on four patients presenting brain tumors.Results show that high perfusion regions found in DSC CBF maps are correctly identified as hyperperfusions with a contrario detection. Automatic detection has clear advantages over manual delineation since it is less time-consuming, does not depend on medical expertise and allows quantification of perfusion abnormalities within the detected regions.

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“…This theory has been applied to medical image processing, for instance for opacities detection in mammography [8] or epileptogenic zone detection [9].…”

Section: A Contrario Detection Of Focal Perfusion Abnormalitiesmentioning

confidence: 99%

A contrario detection of focal brain perfusion abnormalities based on an arterial spin labeling template

Maumet

Maurel

Bannier

et al. 2012

2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)

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“…This theory has later been applied to medical image processing [9,10]. In our context, the a contrario method uses the uncorrected p-value map and takes an original approach to account for multiple comparison.…”

Section: Glm-fdrmentioning

confidence: 99%

A Comprehensive Framework for the Detection of Individual Brain Perfusion Abnormalities Using Arterial Spin Labeling

Maumet

Maurel

Ferré

et al. 2012

Lecture Notes in Computer Science

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Abstract. Arterial Spin Labeling (ASL) enables measuring cerebral blood flow in MRI without injection of a contrast agent. Perfusion measured by ASL carries relevant information for patients suffering from pathologies associated with singular perfusion patterns. However, to date, individual identification of abnormal perfusion patterns in ASL usually relies on visual inspection or manual delineation of regions of interest.In this paper, we introduce a new framework to automatically outline patterns of abnormal perfusion in individual patients by means of an ASL template. We compare two models of normal perfusion and assess the quality of detections comparing an a contrario approach to the Generalized Linear Model (GLM).

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“…The most used technique for detecting the EZ is Subtraction Analysis [12], which is included in the software. However, we also included a novel detection method proposed by Aguerrebere el al [5]. This algorithm is based on the so called A-contrario theory, a statistical framework developed by Desolneaux et al [13].…”

Section: Software Architecturementioning

confidence: 99%

“…In [5] a more rigorous framework was proposed: an A-contrario algorithm for detecting EZ from ictal-interictal images of the same patient.…”

Section: Introductionmentioning

confidence: 99%

Integrated software for the detection of epileptogenic zones in refractory epilepsy

Mottini

Miceli

Albin

et al. 2010

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology

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In this paper we present an integrated software designed to help nuclear medicine physicians in the detection of epileptogenic zones (EZ) by means of ictal-interictal SPECT and MR images. This tool was designed to be flexible, friendly and efficient. A novel detection method was included (A-contrario) along with the classical detection method (Subtraction analysis). The software's performance was evaluated with two separate sets of validation studies: visual interpretation of 12 patient images by an experimented observer and objective analysis of virtual brain phantom experiments by proposed numerical observers. Our results support the potential use of the proposed software to help nuclear medicine physicians in the detection of EZ in clinical practice.

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A-contrario localization of epileptogenic zones in SPECT images

Cited by 6 publications

References 7 publications

A contrario detection of focal brain perfusion abnormalities based on an arterial spin labeling template

A contrario detection of focal brain perfusion abnormalities based on an arterial spin labeling template

A Comprehensive Framework for the Detection of Individual Brain Perfusion Abnormalities Using Arterial Spin Labeling

Integrated software for the detection of epileptogenic zones in refractory epilepsy

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