{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2013:YX65JRCP5UZWMP674Z3C7IJL7N","short_pith_number":"pith:YX65JRCP","schema_version":"1.0","canonical_sha256":"c5fdd4c44fed33663fdfe6762fa12bfb749e3e597682d9b293b0719db1a8b5e9","source":{"kind":"arxiv","id":"1309.6379","version":1},"attestation_state":"computed","paper":{"title":"Diffeomorphic Metric Mapping and Probabilistic Atlas Generation of Hybrid Diffusion Imaging based on BFOR Signal Basis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Andrew L. Alexander, Anqi Qiu, A. Pasha Hosseinbor, Barbara B. Bendlin, Gaurav Suryawanshi, Jia Du, Moo K. Chung","submitted_at":"2013-09-25T01:57:50Z","abstract_excerpt":"We propose a large deformation diffeomorphic metric mapping algorithm to align multiple b-value diffusion weighted imaging (mDWI) data, specifically acquired via hybrid diffusion imaging (HYDI), denoted as LDDMM-HYDI. We then propose a Bayesian model for estimating the white matter atlas from HYDIs. We adopt the work given in Hosseinbor et al. (2012) and represent the q-space diffusion signal with the Bessel Fourier orientation reconstruction (BFOR) signal basis. The BFOR framework provides the representation of mDWI in the q-space and thus reduces memory requirement. In addition, since the BF"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1309.6379","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2013-09-25T01:57:50Z","cross_cats_sorted":[],"title_canon_sha256":"13c69355c94332a7c0156c27b20f68b1117fbc79366a3af630b2675ce6a01af0","abstract_canon_sha256":"ec0cd7f1560e245372cc862658377a4ecc0f9cec4d8ebe1acbfaeb71d1753735"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:12:21.360604Z","signature_b64":"iYEDIEmf1Am1CSL0lPR+hOcohJScrepn0MriZ1E+9rce5gpmC9Q+y7ZpczRUcpiMKzQNsQSg9S1P6q19W/G4AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c5fdd4c44fed33663fdfe6762fa12bfb749e3e597682d9b293b0719db1a8b5e9","last_reissued_at":"2026-05-18T03:12:21.359852Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:12:21.359852Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Diffeomorphic Metric Mapping and Probabilistic Atlas Generation of Hybrid Diffusion Imaging based on BFOR Signal Basis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Andrew L. Alexander, Anqi Qiu, A. Pasha Hosseinbor, Barbara B. Bendlin, Gaurav Suryawanshi, Jia Du, Moo K. Chung","submitted_at":"2013-09-25T01:57:50Z","abstract_excerpt":"We propose a large deformation diffeomorphic metric mapping algorithm to align multiple b-value diffusion weighted imaging (mDWI) data, specifically acquired via hybrid diffusion imaging (HYDI), denoted as LDDMM-HYDI. We then propose a Bayesian model for estimating the white matter atlas from HYDIs. We adopt the work given in Hosseinbor et al. (2012) and represent the q-space diffusion signal with the Bessel Fourier orientation reconstruction (BFOR) signal basis. The BFOR framework provides the representation of mDWI in the q-space and thus reduces memory requirement. In addition, since the BF"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1309.6379","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1309.6379","created_at":"2026-05-18T03:12:21.359987+00:00"},{"alias_kind":"arxiv_version","alias_value":"1309.6379v1","created_at":"2026-05-18T03:12:21.359987+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1309.6379","created_at":"2026-05-18T03:12:21.359987+00:00"},{"alias_kind":"pith_short_12","alias_value":"YX65JRCP5UZW","created_at":"2026-05-18T12:28:09.283467+00:00"},{"alias_kind":"pith_short_16","alias_value":"YX65JRCP5UZWMP67","created_at":"2026-05-18T12:28:09.283467+00:00"},{"alias_kind":"pith_short_8","alias_value":"YX65JRCP","created_at":"2026-05-18T12:28:09.283467+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/YX65JRCP5UZWMP674Z3C7IJL7N","json":"https://pith.science/pith/YX65JRCP5UZWMP674Z3C7IJL7N.json","graph_json":"https://pith.science/api/pith-number/YX65JRCP5UZWMP674Z3C7IJL7N/graph.json","events_json":"https://pith.science/api/pith-number/YX65JRCP5UZWMP674Z3C7IJL7N/events.json","paper":"https://pith.science/paper/YX65JRCP"},"agent_actions":{"view_html":"https://pith.science/pith/YX65JRCP5UZWMP674Z3C7IJL7N","download_json":"https://pith.science/pith/YX65JRCP5UZWMP674Z3C7IJL7N.json","view_paper":"https://pith.science/paper/YX65JRCP","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1309.6379&json=true","fetch_graph":"https://pith.science/api/pith-number/YX65JRCP5UZWMP674Z3C7IJL7N/graph.json","fetch_events":"https://pith.science/api/pith-number/YX65JRCP5UZWMP674Z3C7IJL7N/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YX65JRCP5UZWMP674Z3C7IJL7N/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YX65JRCP5UZWMP674Z3C7IJL7N/action/storage_attestation","attest_author":"https://pith.science/pith/YX65JRCP5UZWMP674Z3C7IJL7N/action/author_attestation","sign_citation":"https://pith.science/pith/YX65JRCP5UZWMP674Z3C7IJL7N/action/citation_signature","submit_replication":"https://pith.science/pith/YX65JRCP5UZWMP674Z3C7IJL7N/action/replication_record"}},"created_at":"2026-05-18T03:12:21.359987+00:00","updated_at":"2026-05-18T03:12:21.359987+00:00"}