SPHARM-based shape analysis of hippocampus for lateralization in mesial temporal lobe epilepsy

Esmaeilzadeh, Mohammad; Soltanian‐Zadeh, Hamid; Jafari-Khouzani, Kourosh

doi:10.1109/iraniancee.2010.5507109

Cited by 10 publications

(15 citation statements)

References 26 publications

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“…A previous work has shown that registration procedure used in SPHARM-PDM may influence spatial metrics such as displacement and local positioning, particularly when dealing with shape variants (24). Notably, the shape descriptors we implemented, including Jacobian determinants to assess local volume and signed curvature to quantify bending, are intrinsically independent of the alignment process, as shown by our previous validation studies (8, 10).…”

Section: Discussionmentioning

confidence: 99%

Disentangling Hippocampal Shape Anomalies in Epilepsy

Kim¹,

Mansi²,

Bernasconi³

2013

Front. Neurol.

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Drug-resistant temporal lobe epilepsy (TLE) and epileptic syndromes related to malformations of cortical development (MCD) are associated with complex hippocampal morphology. The contribution of volume and position to the overall hippocampal shape in these conditions has not been studied. We propose a surface-based framework to localize volume changes through measurement of Jacobian determinants, and quantify fine-scale position and curvature through a medial axis model. We applied our methodology to T1-weighted 3D volumetric MRI of 88 patients with TLE and 78 patients with MCD, including focal cortical dysplasia (FCD, n = 29), heterotopia (HET, n = 40), and polymicrogyria (PMG, n = 19). Patients were compared to 46 age- and sex-matched healthy controls. Surface-based analysis of volume in TLE revealed severe ipsilateral atrophy mainly along the rostro-caudal extent of the hippocampal CA1 subfield. In MCD, patterns of volume changes included bilateral CA1 atrophy in HET and FCD, and left dentate hypertrophy in all three groups. The analysis of curvature revealed medial bending of the posterior hippocampus in TLE, whereas in MCD there was a supero-medial shift of the hippocampal body. Albeit hippocampal shape anomalies in TLE and MCD result from a combination of volume and positional changes, their nature and distribution suggest different pathogenic mechanisms.

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Section: Discussionmentioning

confidence: 99%

Disentangling Hippocampal Shape Anomalies in Epilepsy

Kim¹,

Mansi²,

Bernasconi³

2013

Front. Neurol.

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“…More complex measures need to be designed to fully capture the complexity of tractography datasets and compare them, even across datasets or for longitudinal studies. Currently, more advanced measures that capture fanning, spatial coherence, localized curvature and torsion or spectral analysis are still rare, despite being used in other neuroimaging fields (Cheng & Basser, 2018;Esmaeil-Zadeh, Soltanian-Zadeh, & Jafari-Khouzani, 2010;Glozman et al, 2018;Lombaert, Grady, Polimeni, & Cheriet, 2012).…”

Section: Measures and Representationsmentioning

confidence: 99%

Tractostorm: The what, why, and how of tractography dissection reproducibility

Rheault

Benedictis

Daducci

et al. 2020

Human Brain Mapping

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Investigative studies of white matter (WM) brain structures using diffusion MRI (dMRI) tractography frequently require manual WM bundle segmentation, often called “virtual dissection.” Human errors and personal decisions make these manual segmentations hard to reproduce, which have not yet been quantified by the dMRI community. It is our opinion that if the field of dMRI tractography wants to be taken seriously as a widespread clinical tool, it is imperative to harmonize WM bundle segmentations and develop protocols aimed to be used in clinical settings. The EADC‐ADNI Harmonized Hippocampal Protocol achieved such standardization through a series of steps that must be reproduced for every WM bundle. This article is an observation of the problematic. A specific bundle segmentation protocol was used in order to provide a real‐life example, but the contribution of this article is to discuss the need for reproducibility and standardized protocol, as for any measurement tool. This study required the participation of 11 experts and 13 nonexperts in neuroanatomy and “virtual dissection” across various laboratories and hospitals. Intra‐rater agreement (Dice score) was approximately 0.77, while inter‐rater was approximately 0.65. The protocol provided to participants was not necessarily optimal, but its design mimics, in essence, what will be required in future protocols. Reporting tractometry results such as average fractional anisotropy, volume or streamline count of a particular bundle without a sufficient reproducibility score could make the analysis and interpretations more difficult. Coordinated efforts by the diffusion MRI tractography community are needed to quantify and account for reproducibility of WM bundle extraction protocols in this era of open and collaborative science.

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“…The more coefficients used in the reconstruction, the more detail is present in the final constructed shape. Gerig et al [131], which have shown SPHARM as a potential method for classifying neurolog- [133] 1999 A 3D 21 N Gerig et al [131] 2001 A 3D 20 C Chung et al [132] 2007 A 3D 28 C Uthama et al [134] 2007 A 3D 40 C Abdallah et al [135] 2008 A 3D 18 C Chung et al [136] 2008 A 3D 28 C Uthama et al [137] 2008 A 3D 20 C Esmaeil-Zadeh et al [138] 2010 A 3D 95 N Nitzken et al [139] 2011 A 3D 45 C Nitzken et al [140] 2011 [142] 2011 A 3D n/a C Paniagua et al [86] 2013 A 3D 90 C Hosseinbor et al [143] 2013 A 3D 69 C ical disorders. SPHARM has been widely applied as a method for potential diagnosis.…”

Section: Spherical Harmonicsmentioning

confidence: 99%

“…Esmaeil-Zadeh et al [138] used SPHARM to analyze the hippocampus to classify subjects as either normal or epileptic. Their results showed that in an optimum case, a 90.32% rate of classification of left and right anterior temporal lobes could be achieved when validated using the leave-one-out method.…”

Section: Spherical Harmonicsmentioning

confidence: 99%

“…• More complex techniques such as SPHARM, started by Gerig et al [131], have been further developed by others [135,138,136,139,140] • In modern methods, automation has become increasingly important and semiautomated and manual methods has decreased. The reduction of human interaction has resulted in an increase in the accuracy of newer techniques.…”

Section: Comparisons and Trendsmentioning

confidence: 99%

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Shape analysis of the human brain.

Nitzken¹,

Joseph²

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DEDICATIONSometimes our light goes out but is blown into flame by another human being.Each of us owes deepest thanks to those who have rekindled this light. Autism is a complex developmental disability that has dramatically increased in prevalence, having a decisive impact on the health and behavior of children. Methods used to detect and recommend therapies have been much debated in the medical community because of the subjective nature of diagnosing autism. In order to provide an alternative method for understanding autism, the current work has developed a 3-dimensional state-of-the-art shape based analysis of the human brain to aid in creating more accurate diagnostic assessments and guided risk analyses for individuals with neurological conditions, such as autism. Methods:The aim of this work was to assess whether the shape of the human brain can be used as a reliable source of information for determining whether an individual will be diagnosed with autism. The study was conducted using multi-center databases of magnetic resonance images of the human brain. The subjects in the databases were analyzed using a series of algorithms consisting of bias correction, skull stripping, multi-label brain segmentation, 3-dimensional mesh construction, spherical harmonic decomposition, registration, and classification. The software algorithms were developed as an original contribution of this dissertation in collaboration with the BioImaging Laboratory at the University of Louisville Speed School of Engineering. The classification of each subject was used to construct diagnoses v and therapeutic risk assessments for each patient.Results: A reliable metric for making neurological diagnoses and constructing therapeutic risk assessment for individuals has been identified. The metric was explored in populations of individuals having autism spectrum disorders, dyslexia, Alzheimers disease, and lung cancer. Conclusion:Currently, the clinical applicability and benefits of the proposed software approach are being discussed by the broader community of doctors, therapists, and parents for use in improving current methods by which autism spectrum disorders are diagnosed and understood.vi

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SPHARM-based shape analysis of hippocampus for lateralization in mesial temporal lobe epilepsy

Cited by 10 publications

References 26 publications

Disentangling Hippocampal Shape Anomalies in Epilepsy

Disentangling Hippocampal Shape Anomalies in Epilepsy

Tractostorm: The what, why, and how of tractography dissection reproducibility

Shape analysis of the human brain.

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