{"doi":"10.1109/bibm49941.2020.9313508","title":"Detailed Investigation of Lumen-Based Tomographic Co-Registration","abstract":"Imaging procedures are fundamental to disease diagnosis and prognosis, along with intervention evaluation and monitoring progression. Quantitative comparison and integration of information from different image sets require image coregistration, a process typically performed manually by clinicians. Automated and semi-automated procedures rely upon features that require extensive pre-processing or may not be visible and, as such, are not universally applicable across acquisitions and modalities, limiting applicability. We present a simple yet reliable fully-automated method that registers tomographic vascular images based only on lumen contours. The results both in multimodal and pre-/post-intervention datasets demonstrated the flexibility and robustness of our method. Excellent agreement was found between method results and manual longitudinal coregistration (0.23 ± 0.20 mm). Rotational co-registration accuracy was also high (8.1° ± 8.0°), but required visible fiduciary landmarks; in the absence of such, accuracy decreased to 61.3° ± 66.4°. Sensitivity analyses indicate that, while care must be taken when overlapping segments are very short or lacking variability, lumen-based vascular image co-registration offers a robust, straightforward, and widely applicable approach.","journal":null,"year":2020,"id":125793,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":2,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9564,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":486204,"name":"Max L. Olender","orcid":"0000-0002-0936-5300","position":1,"is_corresponding":false},{"id":452587,"name":"Farhad R. Nezami","orcid":"0000-0002-4210-3177","position":2,"is_corresponding":false},{"id":495782,"name":"David Marlevi","orcid":"0000-0003-1002-2070","position":3,"is_corresponding":false},{"id":521892,"name":"Evan Shlofmitz","orcid":"0000-0002-0907-5258","position":4,"is_corresponding":false},{"id":572668,"name":"Richard Shlofmitz","orcid":"0000-0002-9422-048X","position":5,"is_corresponding":false},{"id":12687,"name":"Elazer R. Edelman","orcid":"0000-0002-7832-7156","position":6,"is_corresponding":false},{"id":572667,"name":"A. Karmakar","orcid":"0000-0001-7131-7636","position":0,"is_corresponding":true}],"reference_count":19,"raw_metadata":null,"created_at":"2026-07-18T23:15:19.482428Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}