{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:HD3OBYUEVPFKQODGFOK3OPL6VJ","short_pith_number":"pith:HD3OBYUE","schema_version":"1.0","canonical_sha256":"38f6e0e284abcaa838662b95b73d7eaa769779e060a6f562e34aa6f777eeae17","source":{"kind":"arxiv","id":"2409.20251","version":1},"attestation_state":"computed","paper":{"title":"Controlling sharpness, SNR and SAR for 3D FSE at 7T by end-to-end learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.SY","eess.IV","eess.SY"],"primary_cat":"physics.med-ph","authors_text":"J\\\"urgen Herrler, Martin Blaimer, Moritz Zaiss, Patrick Liebig, Peter Dawood, Peter M. Jakob, Shaihan Malik, Simon Weinm\\\"uller","submitted_at":"2024-09-30T12:41:11Z","abstract_excerpt":"Purpose: To non-heuristically identify dedicated variable flip angle (VFA) schemes optimized for the point-spread function (PSF) and signal-to-noise ratio (SNR) of multiple tissues in 3D FSE sequences with very long echo trains at 7T. Methods: The proposed optimization considers predefined SAR constraints and target contrast using an end-to-end learning framework. The cost function integrates components for contrast fidelity (SNR) and a penalty term to minimize image blurring (PSF) for multiple tissues. By adjusting the weights of PSF/SNR cost-function components, PSF- and SNR-optimized VFAs w"},"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":"2409.20251","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.med-ph","submitted_at":"2024-09-30T12:41:11Z","cross_cats_sorted":["cs.LG","cs.SY","eess.IV","eess.SY"],"title_canon_sha256":"326a672d2c9ab85c00a9d2cbff6c5d316c02c2fe8c896fe7e2defb0b29cbe4cf","abstract_canon_sha256":"2db2c1a6265677795646771af5013f6c6a8a30c95031ae7a90f59934045d0393"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:13:40.896270Z","signature_b64":"tdUK5yKkQorZwvEWvUOKHYOObO2RM8EQG3FH+Z1326C10tVaTf79qMxX9J7cSbKSLYtI5j3SH/nhGJ4Br1VnBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"38f6e0e284abcaa838662b95b73d7eaa769779e060a6f562e34aa6f777eeae17","last_reissued_at":"2026-07-05T09:13:40.895909Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:13:40.895909Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Controlling sharpness, SNR and SAR for 3D FSE at 7T by end-to-end learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.SY","eess.IV","eess.SY"],"primary_cat":"physics.med-ph","authors_text":"J\\\"urgen Herrler, Martin Blaimer, Moritz Zaiss, Patrick Liebig, Peter Dawood, Peter M. Jakob, Shaihan Malik, Simon Weinm\\\"uller","submitted_at":"2024-09-30T12:41:11Z","abstract_excerpt":"Purpose: To non-heuristically identify dedicated variable flip angle (VFA) schemes optimized for the point-spread function (PSF) and signal-to-noise ratio (SNR) of multiple tissues in 3D FSE sequences with very long echo trains at 7T. Methods: The proposed optimization considers predefined SAR constraints and target contrast using an end-to-end learning framework. The cost function integrates components for contrast fidelity (SNR) and a penalty term to minimize image blurring (PSF) for multiple tissues. By adjusting the weights of PSF/SNR cost-function components, PSF- and SNR-optimized VFAs w"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.20251","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/2409.20251/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":"2409.20251","created_at":"2026-07-05T09:13:40.895960+00:00"},{"alias_kind":"arxiv_version","alias_value":"2409.20251v1","created_at":"2026-07-05T09:13:40.895960+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.20251","created_at":"2026-07-05T09:13:40.895960+00:00"},{"alias_kind":"pith_short_12","alias_value":"HD3OBYUEVPFK","created_at":"2026-07-05T09:13:40.895960+00:00"},{"alias_kind":"pith_short_16","alias_value":"HD3OBYUEVPFKQODG","created_at":"2026-07-05T09:13:40.895960+00:00"},{"alias_kind":"pith_short_8","alias_value":"HD3OBYUE","created_at":"2026-07-05T09:13:40.895960+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/HD3OBYUEVPFKQODGFOK3OPL6VJ","json":"https://pith.science/pith/HD3OBYUEVPFKQODGFOK3OPL6VJ.json","graph_json":"https://pith.science/api/pith-number/HD3OBYUEVPFKQODGFOK3OPL6VJ/graph.json","events_json":"https://pith.science/api/pith-number/HD3OBYUEVPFKQODGFOK3OPL6VJ/events.json","paper":"https://pith.science/paper/HD3OBYUE"},"agent_actions":{"view_html":"https://pith.science/pith/HD3OBYUEVPFKQODGFOK3OPL6VJ","download_json":"https://pith.science/pith/HD3OBYUEVPFKQODGFOK3OPL6VJ.json","view_paper":"https://pith.science/paper/HD3OBYUE","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2409.20251&json=true","fetch_graph":"https://pith.science/api/pith-number/HD3OBYUEVPFKQODGFOK3OPL6VJ/graph.json","fetch_events":"https://pith.science/api/pith-number/HD3OBYUEVPFKQODGFOK3OPL6VJ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/HD3OBYUEVPFKQODGFOK3OPL6VJ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/HD3OBYUEVPFKQODGFOK3OPL6VJ/action/storage_attestation","attest_author":"https://pith.science/pith/HD3OBYUEVPFKQODGFOK3OPL6VJ/action/author_attestation","sign_citation":"https://pith.science/pith/HD3OBYUEVPFKQODGFOK3OPL6VJ/action/citation_signature","submit_replication":"https://pith.science/pith/HD3OBYUEVPFKQODGFOK3OPL6VJ/action/replication_record"}},"created_at":"2026-07-05T09:13:40.895960+00:00","updated_at":"2026-07-05T09:13:40.895960+00:00"}