{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:N2MCGXWTYT7HDLCT6HZIAANONA","short_pith_number":"pith:N2MCGXWT","canonical_record":{"source":{"id":"2206.03603","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-06-07T22:12:11Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"fbca185404ef2308f391d8343383106cb2dcfda54f046468ef1576fecbc78fb1","abstract_canon_sha256":"1722652fe62f55d133e564406d7f719e8ec7f3d11c3f65eb783ff29ba7a70eb0"},"schema_version":"1.0"},"canonical_sha256":"6e98235ed3c4fe71ac53f1f28001ae68151bedafcac57210b498978d1756040a","source":{"kind":"arxiv","id":"2206.03603","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.03603","created_at":"2026-07-05T07:26:35Z"},{"alias_kind":"arxiv_version","alias_value":"2206.03603v1","created_at":"2026-07-05T07:26:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.03603","created_at":"2026-07-05T07:26:35Z"},{"alias_kind":"pith_short_12","alias_value":"N2MCGXWTYT7H","created_at":"2026-07-05T07:26:35Z"},{"alias_kind":"pith_short_16","alias_value":"N2MCGXWTYT7HDLCT","created_at":"2026-07-05T07:26:35Z"},{"alias_kind":"pith_short_8","alias_value":"N2MCGXWT","created_at":"2026-07-05T07:26:35Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:N2MCGXWTYT7HDLCT6HZIAANONA","target":"record","payload":{"canonical_record":{"source":{"id":"2206.03603","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-06-07T22:12:11Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"fbca185404ef2308f391d8343383106cb2dcfda54f046468ef1576fecbc78fb1","abstract_canon_sha256":"1722652fe62f55d133e564406d7f719e8ec7f3d11c3f65eb783ff29ba7a70eb0"},"schema_version":"1.0"},"canonical_sha256":"6e98235ed3c4fe71ac53f1f28001ae68151bedafcac57210b498978d1756040a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:26:35.147954Z","signature_b64":"Qn1F19o2DQxdZMsG0RQXGMD24Xr8s0bVzOcNHVtKKYkEpTDUDHteixhJcVBsSmmPzVGFxfmY8jPbqapu7F4nAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6e98235ed3c4fe71ac53f1f28001ae68151bedafcac57210b498978d1756040a","last_reissued_at":"2026-07-05T07:26:35.147470Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:26:35.147470Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2206.03603","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:26:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aytv3QN/gaSglmDDTUrkwZpW60fwNKjjJtyN6b+Uut1CIa0GszZp/wAsGJ24gA/BdhCwXKgqFwoh8qGnwJYXBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T12:26:09.696179Z"},"content_sha256":"9a09ae44be710d17b0f0fdcec39a8c02ae41f2eb22f0f043c91a07b8c5810225","schema_version":"1.0","event_id":"sha256:9a09ae44be710d17b0f0fdcec39a8c02ae41f2eb22f0f043c91a07b8c5810225"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:N2MCGXWTYT7HDLCT6HZIAANONA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A new method incorporating deep learning with shape priors for left ventricular segmentation in myocardial perfusion SPECT images","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Chen Zhao, Fubao Zhu, Jianzhou Shi, Jiaofen Nan, Jinyu Zhao, Shaojie Tang, Weihua Zhou, Yanting Li, Zenghong Chen, Zhixin Jiang, Zhongqiang Zhao","submitted_at":"2022-06-07T22:12:11Z","abstract_excerpt":"Background: The assessment of left ventricular (LV) function by myocardial perfusion SPECT (MPS) relies on accurate myocardial segmentation. The purpose of this paper is to develop and validate a new method incorporating deep learning with shape priors to accurately extract the LV myocardium for automatic measurement of LV functional parameters. Methods: A segmentation architecture that integrates a three-dimensional (3D) V-Net with a shape deformation module was developed. Using the shape priors generated by a dynamic programming (DP) algorithm, the model output was then constrained and guide"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.03603","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/2206.03603/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:26:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"82c5o+ptzfWfVV6Pl/rCO15NOS4HwkEUQDm3fu6nLf1wk9MZClMTspyuvhKWOEFXaOB8Wj/KDKLuP54vBy0KCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T12:26:09.696567Z"},"content_sha256":"082c7e75bc8b105fda51cab1263a2bbab7eece3fea792df1332fc19167c98e17","schema_version":"1.0","event_id":"sha256:082c7e75bc8b105fda51cab1263a2bbab7eece3fea792df1332fc19167c98e17"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/N2MCGXWTYT7HDLCT6HZIAANONA/bundle.json","state_url":"https://pith.science/pith/N2MCGXWTYT7HDLCT6HZIAANONA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/N2MCGXWTYT7HDLCT6HZIAANONA/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-06T12:26:09Z","links":{"resolver":"https://pith.science/pith/N2MCGXWTYT7HDLCT6HZIAANONA","bundle":"https://pith.science/pith/N2MCGXWTYT7HDLCT6HZIAANONA/bundle.json","state":"https://pith.science/pith/N2MCGXWTYT7HDLCT6HZIAANONA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/N2MCGXWTYT7HDLCT6HZIAANONA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:N2MCGXWTYT7HDLCT6HZIAANONA","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"1722652fe62f55d133e564406d7f719e8ec7f3d11c3f65eb783ff29ba7a70eb0","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-06-07T22:12:11Z","title_canon_sha256":"fbca185404ef2308f391d8343383106cb2dcfda54f046468ef1576fecbc78fb1"},"schema_version":"1.0","source":{"id":"2206.03603","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.03603","created_at":"2026-07-05T07:26:35Z"},{"alias_kind":"arxiv_version","alias_value":"2206.03603v1","created_at":"2026-07-05T07:26:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.03603","created_at":"2026-07-05T07:26:35Z"},{"alias_kind":"pith_short_12","alias_value":"N2MCGXWTYT7H","created_at":"2026-07-05T07:26:35Z"},{"alias_kind":"pith_short_16","alias_value":"N2MCGXWTYT7HDLCT","created_at":"2026-07-05T07:26:35Z"},{"alias_kind":"pith_short_8","alias_value":"N2MCGXWT","created_at":"2026-07-05T07:26:35Z"}],"graph_snapshots":[{"event_id":"sha256:082c7e75bc8b105fda51cab1263a2bbab7eece3fea792df1332fc19167c98e17","target":"graph","created_at":"2026-07-05T07:26:35Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2206.03603/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Background: The assessment of left ventricular (LV) function by myocardial perfusion SPECT (MPS) relies on accurate myocardial segmentation. The purpose of this paper is to develop and validate a new method incorporating deep learning with shape priors to accurately extract the LV myocardium for automatic measurement of LV functional parameters. Methods: A segmentation architecture that integrates a three-dimensional (3D) V-Net with a shape deformation module was developed. Using the shape priors generated by a dynamic programming (DP) algorithm, the model output was then constrained and guide","authors_text":"Chen Zhao, Fubao Zhu, Jianzhou Shi, Jiaofen Nan, Jinyu Zhao, Shaojie Tang, Weihua Zhou, Yanting Li, Zenghong Chen, Zhixin Jiang, Zhongqiang Zhao","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-06-07T22:12:11Z","title":"A new method incorporating deep learning with shape priors for left ventricular segmentation in myocardial perfusion SPECT images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.03603","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:9a09ae44be710d17b0f0fdcec39a8c02ae41f2eb22f0f043c91a07b8c5810225","target":"record","created_at":"2026-07-05T07:26:35Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"1722652fe62f55d133e564406d7f719e8ec7f3d11c3f65eb783ff29ba7a70eb0","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-06-07T22:12:11Z","title_canon_sha256":"fbca185404ef2308f391d8343383106cb2dcfda54f046468ef1576fecbc78fb1"},"schema_version":"1.0","source":{"id":"2206.03603","kind":"arxiv","version":1}},"canonical_sha256":"6e98235ed3c4fe71ac53f1f28001ae68151bedafcac57210b498978d1756040a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6e98235ed3c4fe71ac53f1f28001ae68151bedafcac57210b498978d1756040a","first_computed_at":"2026-07-05T07:26:35.147470Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:26:35.147470Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Qn1F19o2DQxdZMsG0RQXGMD24Xr8s0bVzOcNHVtKKYkEpTDUDHteixhJcVBsSmmPzVGFxfmY8jPbqapu7F4nAA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:26:35.147954Z","signed_message":"canonical_sha256_bytes"},"source_id":"2206.03603","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9a09ae44be710d17b0f0fdcec39a8c02ae41f2eb22f0f043c91a07b8c5810225","sha256:082c7e75bc8b105fda51cab1263a2bbab7eece3fea792df1332fc19167c98e17"],"state_sha256":"520f40fb3f74bf7dde9d844f865a5174babf2662987923388ca5ebb6bfc71df8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zgMQpmo1L6LvbAUonW0mzZKnUMzYEbHs4lRtm67IfePtnfoxZTZiLL0CXIA/TsrQQ0xWhEVk65zss+hBES4CAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T12:26:09.698519Z","bundle_sha256":"d7578ef30f58872db992ccc8f84f560acebd996186412da6174937bd555a3bbe"}}