{"doi":"10.48550/arxiv.2402.09341","title":"Registration of Longitudinal Spine CTs for Monitoring Lesion Growth","abstract":"Accurate and reliable registration of longitudinal spine images is essential for assessment of disease progression and surgical outcome. Implementing a fully automatic and robust registration is crucial for clinical use, however, it is challenging due to substantial change in shape and appearance due to lesions. In this paper we present a novel method to automatically align longitudinal spine CTs and accurately assess lesion progression. Our method follows a two-step pipeline where vertebrae are first automatically localized, labeled and 3D surfaces are generated using a deep learning model, then longitudinally aligned using a Gaussian mixture model surface registration. We tested our approach on 37 vertebrae, from 5 patients, with baseline CTs and 3, 6, and 12 months follow-ups leading to 111 registrations. Our experiment showed accurate registration with an average Hausdorff distance of 0.65 mm and average Dice score of 0.92.","journal":"arXiv (Cornell University)","year":2024,"id":490043,"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":1,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.95,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":545986,"name":"Nazim Haouchine","orcid":"0000-0002-1752-3479","position":1,"is_corresponding":false},{"id":14565,"name":"Steve Pieper","orcid":"0000-0003-4193-9578","position":2,"is_corresponding":false},{"id":284059,"name":"William M. Wells","orcid":"0000-0002-4279-8634","position":3,"is_corresponding":false},{"id":534764,"name":"Tracy A. Balboni","orcid":"0000-0001-6564-6951","position":4,"is_corresponding":false},{"id":227879,"name":"Alexander Spektor","orcid":"0000-0002-1085-3205","position":5,"is_corresponding":false},{"id":640220,"name":"Mai Anh Huynh","orcid":"0000-0003-0641-9745","position":6,"is_corresponding":false},{"id":274930,"name":"Jeffrey P. Guenette","orcid":"0000-0002-4684-5469","position":7,"is_corresponding":false},{"id":1335311,"name":"Bryan Czajkowski","orcid":"0000-0002-8985-9916","position":8,"is_corresponding":false},{"id":1335312,"name":"Sarah Caplan","orcid":"0000-0001-8037-8836","position":9,"is_corresponding":false},{"id":1331716,"name":"Patrick J. Doyle","orcid":"0009-0004-5001-933X","position":10,"is_corresponding":false},{"id":1271167,"name":"Heejoo Kang","orcid":"0000-0001-7543-1284","position":11,"is_corresponding":false},{"id":779481,"name":"David B. Hackney","orcid":"0000-0001-9014-1998","position":12,"is_corresponding":false},{"id":318638,"name":"Ron N. Alkalay","orcid":"0000-0002-9198-8039","position":13,"is_corresponding":false},{"id":1332133,"name":"Malika Sanhinova","orcid":null,"position":0,"is_corresponding":true}],"reference_count":0,"raw_metadata":null,"created_at":"2026-07-19T02:08:32.775003Z","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":[]}