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Rodriguez U, Deddah T, Kim SH, Shen M, Botteron KN, Louis Collins D, Dager SR, Estes AM, Evans AC, Hazlett HC, McKinstry R, Shultz RT, Piven J, Dang Q, Styner M, Prieto JC. IcoConv : Explainable brain cortical surface analysis for ASD classification. Shape Med Imaging (2023) 2023; 14350:248-258. [PMID: 38425723 PMCID: PMC10902712 DOI: 10.1007/978-3-031-46914-5_20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/02/2024]
Abstract
In this study, we introduce a novel approach for the analysis and interpretation of 3D shapes, particularly applied in the context of neuroscientific research. Our method captures 2D perspectives from various vantage points of a 3D object. These perspectives are subsequently analyzed using 2D Convolutional Neural Networks (CNNs), uniquely modified with custom pooling mechanisms. We sought to assess the efficacy of our approach through a binary classification task involving subjects at high risk for Autism Spectrum Disorder (ASD). The task entailed differentiating between high-risk positive and high-risk negative ASD cases. To do this, we employed brain attributes like cortical thickness, surface area, and extra-axial cerebral spinal measurements. We then mapped these measurements onto the surface of a sphere and subsequently analyzed them via our bespoke method. One distinguishing feature of our method is the pooling of data from diverse views using our icosahedron convolution operator. This operator facilitates the efficient sharing of information between neighboring views. A significant contribution of our method is the generation of gradient-based explainability maps, which can be visualized on the brain surface. The insights derived from these explainability images align with prior research findings, particularly those detailing the brain regions typically impacted by ASD. Our innovative approach thereby substantiates the known understanding of this disorder while potentially unveiling novel areas of study.
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Affiliation(s)
| | | | | | - Mark Shen
- University of North Carolina, Chapel Hill, NC
| | | | | | | | | | | | | | | | | | | | - Quyen Dang
- University of North Carolina, Chapel Hill, NC
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Gómez I, Gutiérrez C, Martin E, Petriz T, Pera I, Rodriguez U, Rubio F, Guedca F. 99 Interstitial brachytherapy for carcinoma of the oral tongue experience of the catalan institute of oncology (ICO). Radiother Oncol 1998. [DOI: 10.1016/s0167-8140(98)80104-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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