{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:5EEWMD2GXIEDWKK6PF4OBKQUE3","short_pith_number":"pith:5EEWMD2G","schema_version":"1.0","canonical_sha256":"e909660f46ba083b295e7978e0aa1426f1ba6555d5cf603910748e2586c603b0","source":{"kind":"arxiv","id":"2505.18365","version":1},"attestation_state":"computed","paper":{"title":"Brightness-Invariant Tracking Estimation in Tagged MRI","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Aaron Carass, Ahmed Alshareef, Dzung L. Pham, Fangxu Xing, Jerry L. Prince, Jiachen Zhuo, Jonghye Woo, Philip V. Bayly, Samuel W. Remedios, Shuwen Wei, Xiao Liang, Yuan-Chiao Lu, Zhangxing Bian","submitted_at":"2025-05-23T20:48:23Z","abstract_excerpt":"Magnetic resonance (MR) tagging is an imaging technique for noninvasively tracking tissue motion in vivo by creating a visible pattern of magnetization saturation (tags) that deforms with the tissue. Due to longitudinal relaxation and progression to steady-state, the tags and tissue brightnesses change over time, which makes tracking with optical flow methods error-prone. Although Fourier methods can alleviate these problems, they are also sensitive to brightness changes as well as spectral spreading due to motion. To address these problems, we introduce the brightness-invariant tracking estim"},"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":"2505.18365","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-05-23T20:48:23Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"259c7c38fd2b0e2aa4ae1e47b6b8c66e548775eee834670cbe17d3aa3f34dde4","abstract_canon_sha256":"144bae9abb8fdc77abe0e205a0f64036e93a99d40154cf3e6de30889dc326226"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:08:45.411354Z","signature_b64":"FGibS3BMej5jhDpKHg4lRiC/Q4t1I+RAS1YSXHAhpaUrr0oIFq1OeXiWRVaf0/OnufPtNIIIr0KFJdfMzmWZCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e909660f46ba083b295e7978e0aa1426f1ba6555d5cf603910748e2586c603b0","last_reissued_at":"2026-07-05T11:08:45.410896Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:08:45.410896Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Brightness-Invariant Tracking Estimation in Tagged MRI","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Aaron Carass, Ahmed Alshareef, Dzung L. Pham, Fangxu Xing, Jerry L. Prince, Jiachen Zhuo, Jonghye Woo, Philip V. Bayly, Samuel W. Remedios, Shuwen Wei, Xiao Liang, Yuan-Chiao Lu, Zhangxing Bian","submitted_at":"2025-05-23T20:48:23Z","abstract_excerpt":"Magnetic resonance (MR) tagging is an imaging technique for noninvasively tracking tissue motion in vivo by creating a visible pattern of magnetization saturation (tags) that deforms with the tissue. Due to longitudinal relaxation and progression to steady-state, the tags and tissue brightnesses change over time, which makes tracking with optical flow methods error-prone. Although Fourier methods can alleviate these problems, they are also sensitive to brightness changes as well as spectral spreading due to motion. To address these problems, we introduce the brightness-invariant tracking estim"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.18365","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2505.18365/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2505.18365","created_at":"2026-07-05T11:08:45.410952+00:00"},{"alias_kind":"arxiv_version","alias_value":"2505.18365v1","created_at":"2026-07-05T11:08:45.410952+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.18365","created_at":"2026-07-05T11:08:45.410952+00:00"},{"alias_kind":"pith_short_12","alias_value":"5EEWMD2GXIED","created_at":"2026-07-05T11:08:45.410952+00:00"},{"alias_kind":"pith_short_16","alias_value":"5EEWMD2GXIEDWKK6","created_at":"2026-07-05T11:08:45.410952+00:00"},{"alias_kind":"pith_short_8","alias_value":"5EEWMD2G","created_at":"2026-07-05T11:08:45.410952+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/5EEWMD2GXIEDWKK6PF4OBKQUE3","json":"https://pith.science/pith/5EEWMD2GXIEDWKK6PF4OBKQUE3.json","graph_json":"https://pith.science/api/pith-number/5EEWMD2GXIEDWKK6PF4OBKQUE3/graph.json","events_json":"https://pith.science/api/pith-number/5EEWMD2GXIEDWKK6PF4OBKQUE3/events.json","paper":"https://pith.science/paper/5EEWMD2G"},"agent_actions":{"view_html":"https://pith.science/pith/5EEWMD2GXIEDWKK6PF4OBKQUE3","download_json":"https://pith.science/pith/5EEWMD2GXIEDWKK6PF4OBKQUE3.json","view_paper":"https://pith.science/paper/5EEWMD2G","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2505.18365&json=true","fetch_graph":"https://pith.science/api/pith-number/5EEWMD2GXIEDWKK6PF4OBKQUE3/graph.json","fetch_events":"https://pith.science/api/pith-number/5EEWMD2GXIEDWKK6PF4OBKQUE3/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/5EEWMD2GXIEDWKK6PF4OBKQUE3/action/timestamp_anchor","attest_storage":"https://pith.science/pith/5EEWMD2GXIEDWKK6PF4OBKQUE3/action/storage_attestation","attest_author":"https://pith.science/pith/5EEWMD2GXIEDWKK6PF4OBKQUE3/action/author_attestation","sign_citation":"https://pith.science/pith/5EEWMD2GXIEDWKK6PF4OBKQUE3/action/citation_signature","submit_replication":"https://pith.science/pith/5EEWMD2GXIEDWKK6PF4OBKQUE3/action/replication_record"}},"created_at":"2026-07-05T11:08:45.410952+00:00","updated_at":"2026-07-05T11:08:45.410952+00:00"}