{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:KSGAX7636TRD6FS5GIBKX24BQY","short_pith_number":"pith:KSGAX763","schema_version":"1.0","canonical_sha256":"548c0bffdbf4e23f165d3202abeb81862157f68bc3783303e2d4118cf93568d2","source":{"kind":"arxiv","id":"1710.03396","version":1},"attestation_state":"computed","paper":{"title":"Segmentation of Dynamic Contrast-Enhanced Magnetic Resonance Images of the Prostate","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"physics.med-ph","authors_text":"Antonio Rueda-Toicen, Leonardo Cordero, Miguel Mart\\'in-Landrove, Wuilian Torres","submitted_at":"2017-10-10T04:07:52Z","abstract_excerpt":"Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) is a valuable tool to localize, characterize, and evaluate anomalous prostate tissue. Ultrafast gradient-echo acquisitions of MRI volumes are generated at regular time intervals while the patient receives a paramagnetic contrast agent. The result is a time series where each voxel exhibits a particular behavior of contrast uptake (wash-in) and posterior wash-out. In this work, a segmentation method is proposed that groups together neighboring voxels with similar contrast wash-out responses, using a variant of the region growing Grow"},"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":"1710.03396","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.med-ph","submitted_at":"2017-10-10T04:07:52Z","cross_cats_sorted":[],"title_canon_sha256":"f75047666028a1424ede5177a1705895de4885aad9b29a49f1d246162c08e84e","abstract_canon_sha256":"a7f92f8b5a640ea043c8192fa8c205321cdf80e7405bbafb0551e268c5fb4135"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:33:12.060732Z","signature_b64":"73sQIcpX8mNRb4IQaVR166c69viczYDoqJY+D5yhFHEeK7r2RHLS/ad64VxQZFcDePV+rCM+iWO4vx8VI32PAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"548c0bffdbf4e23f165d3202abeb81862157f68bc3783303e2d4118cf93568d2","last_reissued_at":"2026-05-18T00:33:12.060038Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:33:12.060038Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Segmentation of Dynamic Contrast-Enhanced Magnetic Resonance Images of the Prostate","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"physics.med-ph","authors_text":"Antonio Rueda-Toicen, Leonardo Cordero, Miguel Mart\\'in-Landrove, Wuilian Torres","submitted_at":"2017-10-10T04:07:52Z","abstract_excerpt":"Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) is a valuable tool to localize, characterize, and evaluate anomalous prostate tissue. Ultrafast gradient-echo acquisitions of MRI volumes are generated at regular time intervals while the patient receives a paramagnetic contrast agent. The result is a time series where each voxel exhibits a particular behavior of contrast uptake (wash-in) and posterior wash-out. In this work, a segmentation method is proposed that groups together neighboring voxels with similar contrast wash-out responses, using a variant of the region growing Grow"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.03396","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":"1710.03396","created_at":"2026-05-18T00:33:12.060151+00:00"},{"alias_kind":"arxiv_version","alias_value":"1710.03396v1","created_at":"2026-05-18T00:33:12.060151+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1710.03396","created_at":"2026-05-18T00:33:12.060151+00:00"},{"alias_kind":"pith_short_12","alias_value":"KSGAX7636TRD","created_at":"2026-05-18T12:31:28.150371+00:00"},{"alias_kind":"pith_short_16","alias_value":"KSGAX7636TRD6FS5","created_at":"2026-05-18T12:31:28.150371+00:00"},{"alias_kind":"pith_short_8","alias_value":"KSGAX763","created_at":"2026-05-18T12:31:28.150371+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/KSGAX7636TRD6FS5GIBKX24BQY","json":"https://pith.science/pith/KSGAX7636TRD6FS5GIBKX24BQY.json","graph_json":"https://pith.science/api/pith-number/KSGAX7636TRD6FS5GIBKX24BQY/graph.json","events_json":"https://pith.science/api/pith-number/KSGAX7636TRD6FS5GIBKX24BQY/events.json","paper":"https://pith.science/paper/KSGAX763"},"agent_actions":{"view_html":"https://pith.science/pith/KSGAX7636TRD6FS5GIBKX24BQY","download_json":"https://pith.science/pith/KSGAX7636TRD6FS5GIBKX24BQY.json","view_paper":"https://pith.science/paper/KSGAX763","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1710.03396&json=true","fetch_graph":"https://pith.science/api/pith-number/KSGAX7636TRD6FS5GIBKX24BQY/graph.json","fetch_events":"https://pith.science/api/pith-number/KSGAX7636TRD6FS5GIBKX24BQY/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/KSGAX7636TRD6FS5GIBKX24BQY/action/timestamp_anchor","attest_storage":"https://pith.science/pith/KSGAX7636TRD6FS5GIBKX24BQY/action/storage_attestation","attest_author":"https://pith.science/pith/KSGAX7636TRD6FS5GIBKX24BQY/action/author_attestation","sign_citation":"https://pith.science/pith/KSGAX7636TRD6FS5GIBKX24BQY/action/citation_signature","submit_replication":"https://pith.science/pith/KSGAX7636TRD6FS5GIBKX24BQY/action/replication_record"}},"created_at":"2026-05-18T00:33:12.060151+00:00","updated_at":"2026-05-18T00:33:12.060151+00:00"}