A database of magnetic resonance imaging‐transcranial ultrasound co‐registration DOI Creative Commons
Maryam Alizadeh, D. Louis Collins, Marta Kersten‐Oertel

и другие.

Medical Physics, Год журнала: 2025, Номер unknown

Опубликована: Фев. 7, 2025

As a portable and cost-effective imaging modality with better accessibility than Magnetic Resonance Imaging (MRI), transcranial sonography (TCS) has demonstrated its flexibility potential utility in various clinical diagnostic applications, including Parkinson's disease cerebrovascular conditions. To understand the information TCS for data analysis acquisition, MRI can provide guidance efficient neuronavigation systems confirmation of disease-related abnormality. In these cases, MRI-TCS co-registration is crucial, but relevant public databases are scarce to help develop related algorithms software systems. This dataset comprises manually registered ultrasound volumes from eight healthy subjects. Three raters each subject's scans, based on visual inspection image feature correspondence. Average transformation matrices were computed all raters' alignments subject. Inter- intra-rater variability transformations conducted by presented validate accuracy consistency manual registration. addition, population-averaged brain vascular atlas provided facilitate development computer-assisted acquisition software. The both NIFTI MINC formats publicly available OSF repository: https://osf.io/zdcjb/. provides first resource assessment registration ground truths, as well resources establishing TCS. These technical advancements could greatly boost an tool applications diagnosis neurological conditions such disorders.

Язык: Английский

A database of magnetic resonance imaging‐transcranial ultrasound co‐registration DOI Creative Commons
Maryam Alizadeh, D. Louis Collins, Marta Kersten‐Oertel

и другие.

Medical Physics, Год журнала: 2025, Номер unknown

Опубликована: Фев. 7, 2025

As a portable and cost-effective imaging modality with better accessibility than Magnetic Resonance Imaging (MRI), transcranial sonography (TCS) has demonstrated its flexibility potential utility in various clinical diagnostic applications, including Parkinson's disease cerebrovascular conditions. To understand the information TCS for data analysis acquisition, MRI can provide guidance efficient neuronavigation systems confirmation of disease-related abnormality. In these cases, MRI-TCS co-registration is crucial, but relevant public databases are scarce to help develop related algorithms software systems. This dataset comprises manually registered ultrasound volumes from eight healthy subjects. Three raters each subject's scans, based on visual inspection image feature correspondence. Average transformation matrices were computed all raters' alignments subject. Inter- intra-rater variability transformations conducted by presented validate accuracy consistency manual registration. addition, population-averaged brain vascular atlas provided facilitate development computer-assisted acquisition software. The both NIFTI MINC formats publicly available OSF repository: https://osf.io/zdcjb/. provides first resource assessment registration ground truths, as well resources establishing TCS. These technical advancements could greatly boost an tool applications diagnosis neurological conditions such disorders.

Язык: Английский

Процитировано

0