{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:H3LBPSJAHBPB3ZFW77O5YQJMRR","short_pith_number":"pith:H3LBPSJA","schema_version":"1.0","canonical_sha256":"3ed617c920385e1de4b6ffdddc412c8c648af1aa83b373532e4d89880e5de0ea","source":{"kind":"arxiv","id":"1903.08455","version":1},"attestation_state":"computed","paper":{"title":"Microscopic anisotropy misestimation in spherical-mean single diffusion encoding MRI","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"physics.med-ph","authors_text":"Noam Shemesh, Rafael Neto Henriques, Sune N Jespersen","submitted_at":"2019-03-20T11:45:29Z","abstract_excerpt":"Purpose: Microscopic fractional anisotropy ({\\mu}FA) can disentangle microstructural information from orientation dispersion. While double diffusion encoding (DDE) MRI methods are widely used to extract accurate {\\mu}FA, it has only recently been proposed that powder-averaged single diffusion encoding (SDE) signals, when coupled with the diffusion standard model (SM) and a set of constraints, could be used for {\\mu}FA estimation. This study aims to evaluate {\\mu}FA as derived from the spherical mean technique (SMT) set of constraints, as well as more generally for powder-averaged SM signals. M"},"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":"1903.08455","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.med-ph","submitted_at":"2019-03-20T11:45:29Z","cross_cats_sorted":[],"title_canon_sha256":"c77a785fd13fa553cdf8870cfce9224590ed237adb36b0158a5fd1d6709ae2eb","abstract_canon_sha256":"87722f313bc9460ef8495f9bec405c36d1d7e022982afc9715d39bc1c357d1fe"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:50:48.046254Z","signature_b64":"YEz+TxGqe+gBLbpT9ccV5LtNTBji2IK1vkH9iJxG056GMmxnp8eMJQ3nBShiaM+uFYfKjZbZqAQ3Ooeatac5AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3ed617c920385e1de4b6ffdddc412c8c648af1aa83b373532e4d89880e5de0ea","last_reissued_at":"2026-05-17T23:50:48.045558Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:50:48.045558Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Microscopic anisotropy misestimation in spherical-mean single diffusion encoding MRI","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"physics.med-ph","authors_text":"Noam Shemesh, Rafael Neto Henriques, Sune N Jespersen","submitted_at":"2019-03-20T11:45:29Z","abstract_excerpt":"Purpose: Microscopic fractional anisotropy ({\\mu}FA) can disentangle microstructural information from orientation dispersion. While double diffusion encoding (DDE) MRI methods are widely used to extract accurate {\\mu}FA, it has only recently been proposed that powder-averaged single diffusion encoding (SDE) signals, when coupled with the diffusion standard model (SM) and a set of constraints, could be used for {\\mu}FA estimation. This study aims to evaluate {\\mu}FA as derived from the spherical mean technique (SMT) set of constraints, as well as more generally for powder-averaged SM signals. M"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.08455","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":"1903.08455","created_at":"2026-05-17T23:50:48.045654+00:00"},{"alias_kind":"arxiv_version","alias_value":"1903.08455v1","created_at":"2026-05-17T23:50:48.045654+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.08455","created_at":"2026-05-17T23:50:48.045654+00:00"},{"alias_kind":"pith_short_12","alias_value":"H3LBPSJAHBPB","created_at":"2026-05-18T12:33:18.533446+00:00"},{"alias_kind":"pith_short_16","alias_value":"H3LBPSJAHBPB3ZFW","created_at":"2026-05-18T12:33:18.533446+00:00"},{"alias_kind":"pith_short_8","alias_value":"H3LBPSJA","created_at":"2026-05-18T12:33:18.533446+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/H3LBPSJAHBPB3ZFW77O5YQJMRR","json":"https://pith.science/pith/H3LBPSJAHBPB3ZFW77O5YQJMRR.json","graph_json":"https://pith.science/api/pith-number/H3LBPSJAHBPB3ZFW77O5YQJMRR/graph.json","events_json":"https://pith.science/api/pith-number/H3LBPSJAHBPB3ZFW77O5YQJMRR/events.json","paper":"https://pith.science/paper/H3LBPSJA"},"agent_actions":{"view_html":"https://pith.science/pith/H3LBPSJAHBPB3ZFW77O5YQJMRR","download_json":"https://pith.science/pith/H3LBPSJAHBPB3ZFW77O5YQJMRR.json","view_paper":"https://pith.science/paper/H3LBPSJA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1903.08455&json=true","fetch_graph":"https://pith.science/api/pith-number/H3LBPSJAHBPB3ZFW77O5YQJMRR/graph.json","fetch_events":"https://pith.science/api/pith-number/H3LBPSJAHBPB3ZFW77O5YQJMRR/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/H3LBPSJAHBPB3ZFW77O5YQJMRR/action/timestamp_anchor","attest_storage":"https://pith.science/pith/H3LBPSJAHBPB3ZFW77O5YQJMRR/action/storage_attestation","attest_author":"https://pith.science/pith/H3LBPSJAHBPB3ZFW77O5YQJMRR/action/author_attestation","sign_citation":"https://pith.science/pith/H3LBPSJAHBPB3ZFW77O5YQJMRR/action/citation_signature","submit_replication":"https://pith.science/pith/H3LBPSJAHBPB3ZFW77O5YQJMRR/action/replication_record"}},"created_at":"2026-05-17T23:50:48.045654+00:00","updated_at":"2026-05-17T23:50:48.045654+00:00"}