{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:35BKF4A4DBTGOW6VUM6MW6QPAG","short_pith_number":"pith:35BKF4A4","canonical_record":{"source":{"id":"2206.12344","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-06-24T15:31:14Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"ff34e0ccb9c32f8b068cc5d5557d3675e995ab74fded37e9751e1631898c5210","abstract_canon_sha256":"a222bcb400543a7f5c4752b82d198b699e53b9b4d9e5969c08f78b65b2c4f9fb"},"schema_version":"1.0"},"canonical_sha256":"df42a2f01c1866675bd5a33ccb7a0f01ad3e9e9ae969f6f44d8ff20f5c9e202d","source":{"kind":"arxiv","id":"2206.12344","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.12344","created_at":"2026-07-05T05:22:09Z"},{"alias_kind":"arxiv_version","alias_value":"2206.12344v2","created_at":"2026-07-05T05:22:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.12344","created_at":"2026-07-05T05:22:09Z"},{"alias_kind":"pith_short_12","alias_value":"35BKF4A4DBTG","created_at":"2026-07-05T05:22:09Z"},{"alias_kind":"pith_short_16","alias_value":"35BKF4A4DBTGOW6V","created_at":"2026-07-05T05:22:09Z"},{"alias_kind":"pith_short_8","alias_value":"35BKF4A4","created_at":"2026-07-05T05:22:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:35BKF4A4DBTGOW6VUM6MW6QPAG","target":"record","payload":{"canonical_record":{"source":{"id":"2206.12344","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-06-24T15:31:14Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"ff34e0ccb9c32f8b068cc5d5557d3675e995ab74fded37e9751e1631898c5210","abstract_canon_sha256":"a222bcb400543a7f5c4752b82d198b699e53b9b4d9e5969c08f78b65b2c4f9fb"},"schema_version":"1.0"},"canonical_sha256":"df42a2f01c1866675bd5a33ccb7a0f01ad3e9e9ae969f6f44d8ff20f5c9e202d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:22:09.026746Z","signature_b64":"yqphNDXsfOddO/3xNP0zR2RslK35IQ/hR5RKdf3RqVaUnxY6gwMqBgPLOwGJIUv9bWUOhZWqFeOlVnxgP8igBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"df42a2f01c1866675bd5a33ccb7a0f01ad3e9e9ae969f6f44d8ff20f5c9e202d","last_reissued_at":"2026-07-05T05:22:09.026285Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:22:09.026285Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2206.12344","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:22:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6MHTkUOcgUimgZaQLvlT6zd9O2MdaWmNIF6xdsLJf9zrT7My6MYQ6xyPTasIBK1fcNehAxf5ZCK53jR+t4OyCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T10:33:22.387349Z"},"content_sha256":"ad0d9e2addb0ed61b46d358cb70942cedad8636a9c207a28b5eff00f45ecf10e","schema_version":"1.0","event_id":"sha256:ad0d9e2addb0ed61b46d358cb70942cedad8636a9c207a28b5eff00f45ecf10e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:35BKF4A4DBTGOW6VUM6MW6QPAG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Segmentation-free PVC for Cardiac SPECT using a Densely-connected Multi-dimensional Dynamic Network","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"eess.IV","authors_text":"Albert J. Sinusas, Attila Feher, Bo Zhou, Chi Liu, Ge Wang, Huidong Xie, John C. Stendahl, Kathleen Greco, Luyao Shi, Nabil Boutagy, Tassos C. Kyriakides, Xiongchao Chen, Zhao Liu","submitted_at":"2022-06-24T15:31:14Z","abstract_excerpt":"In nuclear imaging, limited resolution causes partial volume effects (PVEs) that affect image sharpness and quantitative accuracy. Partial volume correction (PVC) methods incorporating high-resolution anatomical information from CT or MRI have been demonstrated to be effective. However, such anatomical-guided methods typically require tedious image registration and segmentation steps. Accurately segmented organ templates are also hard to obtain, particularly in cardiac SPECT imaging, due to the lack of hybrid SPECT/CT scanners with high-end CT and associated motion artifacts. Slight mis-regist"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.12344","kind":"arxiv","version":2},"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/2206.12344/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":"2026-07-05T05:22:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9wtVNf2nyh9uTMMIBmQNWq1gjJ+sKrnX/xBlu+fR5aEfigAMQ50SFFIDmQPb6Xk9HhrHqxWL8TETOcmXjh1gDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T10:33:22.387868Z"},"content_sha256":"1bd566b0c8127fea0bb5dd14fe3a32ab0ad4261da06865a441bcb5e239cda213","schema_version":"1.0","event_id":"sha256:1bd566b0c8127fea0bb5dd14fe3a32ab0ad4261da06865a441bcb5e239cda213"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/35BKF4A4DBTGOW6VUM6MW6QPAG/bundle.json","state_url":"https://pith.science/pith/35BKF4A4DBTGOW6VUM6MW6QPAG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/35BKF4A4DBTGOW6VUM6MW6QPAG/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":"2026-08-22T10:33:22Z","links":{"resolver":"https://pith.science/pith/35BKF4A4DBTGOW6VUM6MW6QPAG","bundle":"https://pith.science/pith/35BKF4A4DBTGOW6VUM6MW6QPAG/bundle.json","state":"https://pith.science/pith/35BKF4A4DBTGOW6VUM6MW6QPAG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/35BKF4A4DBTGOW6VUM6MW6QPAG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:35BKF4A4DBTGOW6VUM6MW6QPAG","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":"a222bcb400543a7f5c4752b82d198b699e53b9b4d9e5969c08f78b65b2c4f9fb","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-06-24T15:31:14Z","title_canon_sha256":"ff34e0ccb9c32f8b068cc5d5557d3675e995ab74fded37e9751e1631898c5210"},"schema_version":"1.0","source":{"id":"2206.12344","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.12344","created_at":"2026-07-05T05:22:09Z"},{"alias_kind":"arxiv_version","alias_value":"2206.12344v2","created_at":"2026-07-05T05:22:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.12344","created_at":"2026-07-05T05:22:09Z"},{"alias_kind":"pith_short_12","alias_value":"35BKF4A4DBTG","created_at":"2026-07-05T05:22:09Z"},{"alias_kind":"pith_short_16","alias_value":"35BKF4A4DBTGOW6V","created_at":"2026-07-05T05:22:09Z"},{"alias_kind":"pith_short_8","alias_value":"35BKF4A4","created_at":"2026-07-05T05:22:09Z"}],"graph_snapshots":[{"event_id":"sha256:1bd566b0c8127fea0bb5dd14fe3a32ab0ad4261da06865a441bcb5e239cda213","target":"graph","created_at":"2026-07-05T05:22:09Z","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/2206.12344/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In nuclear imaging, limited resolution causes partial volume effects (PVEs) that affect image sharpness and quantitative accuracy. Partial volume correction (PVC) methods incorporating high-resolution anatomical information from CT or MRI have been demonstrated to be effective. However, such anatomical-guided methods typically require tedious image registration and segmentation steps. Accurately segmented organ templates are also hard to obtain, particularly in cardiac SPECT imaging, due to the lack of hybrid SPECT/CT scanners with high-end CT and associated motion artifacts. Slight mis-regist","authors_text":"Albert J. Sinusas, Attila Feher, Bo Zhou, Chi Liu, Ge Wang, Huidong Xie, John C. Stendahl, Kathleen Greco, Luyao Shi, Nabil Boutagy, Tassos C. Kyriakides, Xiongchao Chen, Zhao Liu","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-06-24T15:31:14Z","title":"Segmentation-free PVC for Cardiac SPECT using a Densely-connected Multi-dimensional Dynamic Network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.12344","kind":"arxiv","version":2},"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:ad0d9e2addb0ed61b46d358cb70942cedad8636a9c207a28b5eff00f45ecf10e","target":"record","created_at":"2026-07-05T05:22:09Z","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":"a222bcb400543a7f5c4752b82d198b699e53b9b4d9e5969c08f78b65b2c4f9fb","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-06-24T15:31:14Z","title_canon_sha256":"ff34e0ccb9c32f8b068cc5d5557d3675e995ab74fded37e9751e1631898c5210"},"schema_version":"1.0","source":{"id":"2206.12344","kind":"arxiv","version":2}},"canonical_sha256":"df42a2f01c1866675bd5a33ccb7a0f01ad3e9e9ae969f6f44d8ff20f5c9e202d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"df42a2f01c1866675bd5a33ccb7a0f01ad3e9e9ae969f6f44d8ff20f5c9e202d","first_computed_at":"2026-07-05T05:22:09.026285Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:22:09.026285Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yqphNDXsfOddO/3xNP0zR2RslK35IQ/hR5RKdf3RqVaUnxY6gwMqBgPLOwGJIUv9bWUOhZWqFeOlVnxgP8igBw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:22:09.026746Z","signed_message":"canonical_sha256_bytes"},"source_id":"2206.12344","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ad0d9e2addb0ed61b46d358cb70942cedad8636a9c207a28b5eff00f45ecf10e","sha256:1bd566b0c8127fea0bb5dd14fe3a32ab0ad4261da06865a441bcb5e239cda213"],"state_sha256":"a9f92e6d8f4f6490bcf565382023b4c3c7e014ed5ada2ae4c40b33cd3924bf8e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2jmNbNafgN6DnI0OYI1mplfHiwqdyTyMoi8qCeZLxRC1CeGQyCq2PJPNOZH0Rs5dtOPbPbFpTZv7JR6PgoWcDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T10:33:22.393192Z","bundle_sha256":"80ccaa071581f20c4da29afb28c987fbacc7206cedff42fd086568488bbe7e65"}}