{"doi":"10.1109/tuffc.2020.3012303","title":"Stereotactic Transcranial Focused Ultrasound Targeting System for Murine Brain Models","abstract":"An inexpensive, accurate focused ultrasound stereotactic targeting method guided by pretreatment magnetic resonance imaging (MRI) images for murine brain models is presented. An uncertainty of each sub-component of the stereotactic system was analyzed. The entire system was calibrated using clot phantoms. The targeting accuracy of the system was demonstrated with an in vivo mouse glioblastoma (GBM) model. The accuracy was quantified by the absolute distance difference between the prescribed and ablated points visible on the pre treatment and posttreatment MR images, respectively. A precalibration phantom study ( N = 6 ) resulted in an error of 0.32 ± 0.31, 0.72 ± 0.16, and 1.06 ± 0.38 mm in axial, lateral, and elevational axes, respectively. A postcalibration phantom study ( N = 8 ) demonstrated a residual error of 0.09 ± 0.01, 0.15 ± 0.09, and 0.47 ± 0.18 mm in axial, lateral, and elevational axes, respectively. The calibrated system showed significantly reduced ( ) error of 0.20 ± 0.21, 0.34 ± 0.24, and 0.28 ± 0.21 mm in axial, lateral, and elevational axes, respectively, in the in vivo GBM tumor-bearing mice ( N = 10 ).","journal":"IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control","year":2020,"id":84625,"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":9,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9616,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"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":433950,"name":"Tyler Gerhardson","orcid":"0000-0002-4548-5588","position":1,"is_corresponding":false},{"id":433951,"name":"Sarah E. Duclos","orcid":"0000-0002-7501-1367","position":2,"is_corresponding":false},{"id":433952,"name":"Rachel K. Surowiec","orcid":"0000-0001-7614-4412","position":3,"is_corresponding":false},{"id":433953,"name":"Ulrich M. Scheven","orcid":"0000-0001-8111-0081","position":4,"is_corresponding":false},{"id":433954,"name":"Stefanie Galbán","orcid":"0000-0001-5012-7614","position":5,"is_corresponding":false},{"id":326712,"name":"Fred T. Lee","orcid":"0000-0001-5984-9533","position":6,"is_corresponding":false},{"id":326713,"name":"Joan M. Greve","orcid":"0000-0003-2493-752X","position":7,"is_corresponding":false},{"id":334255,"name":"James M. Balter","orcid":"0000-0003-1513-4936","position":8,"is_corresponding":false},{"id":326710,"name":"Timothy L. Hall","orcid":"0000-0002-4867-2856","position":9,"is_corresponding":false},{"id":326714,"name":"Zhen Xu","orcid":"0000-0003-0262-3044","position":10,"is_corresponding":false},{"id":433949,"name":"Sang Won Choi","orcid":"0000-0001-8532-0756","position":0,"is_corresponding":true}],"reference_count":50,"raw_metadata":null,"created_at":"2026-07-18T21:55:38.506333Z","pmid":"32746229","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":[]}