Optimal Sensor Selection for Motion-Corrected Supine Breast MRI with a Wearable Coil.

IF 4.4 2区医学 Q2 ENGINEERING, BIOMEDICAL

IEEE Transactions on Biomedical Engineering Pub Date : 2025-02-07 DOI:10.1109/TBME.2025.3539386

Karyna Isaieva, Nicolas Weber, Lena Nohava, Barbara Fischer, Alexandre Megel, Philippe Henrot, Emilien Micard, Elmar Laistler, Jacques Felblinger, Freddy Odille

{"title":"Optimal Sensor Selection for Motion-Corrected Supine Breast MRI with a Wearable Coil.","authors":"Karyna Isaieva, Nicolas Weber, Lena Nohava, Barbara Fischer, Alexandre Megel, Philippe Henrot, Emilien Micard, Elmar Laistler, Jacques Felblinger, Freddy Odille","doi":"10.1109/TBME.2025.3539386","DOIUrl":null,"url":null,"abstract":"Objective: Supine breast MRI offers several advantages over conventional prone MRI but requires correction of motion artifacts. This study aimed to identify the optimal combination of motion sensors for achieving the best motion correction quality using a wearable radio frequency coil (\"BraCoil\").Methods: T2-weighted (T2w) 2D and T1-weighted (T1w) 3D sequences were acquired in 10 volunteers and 17 exams. Images were reconstructed using the GRICS motion correction algorithm, using data from a respiratory belt or MRI-compatible accelerometers. The motion models were evaluated by comparing the predicted motion to dynamic MRI. The resulting images were also assessed using both quantitative metrics and radiological scoring. Additionally, the accuracy of motion models calculated from high-resolution 2D T2w images was compared to those derived from low-resolution 3D T1w images.Results: Motion predicted from 2D T2w images matched the dynamic MRI significantly better than that predicted from low-resolution 3D T1w images. Radiological scoring showed that using all accelerometers significantly improved image quality compared to using the belt. A single accelerometer explained only 45-70% of the total sensor data, and combining all sensors led to superior correction overall. No optimal sensor position was identified.Conclusion: The motion model calculated from 2D T2w images, using the data from all accelerometers, provides the best motion correction quality for supine breast MRI using a wearable coil.Significance: Selecting the appropriate physiological sensors minimizes motion artifacts and can potentially enhance diagnostic accuracy.","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"PP ","pages":""},"PeriodicalIF":4.4000,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Biomedical Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1109/TBME.2025.3539386","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}

引用次数: 0

Abstract

Objective: Supine breast MRI offers several advantages over conventional prone MRI but requires correction of motion artifacts. This study aimed to identify the optimal combination of motion sensors for achieving the best motion correction quality using a wearable radio frequency coil ("BraCoil").

Methods: T2-weighted (T2w) 2D and T1-weighted (T1w) 3D sequences were acquired in 10 volunteers and 17 exams. Images were reconstructed using the GRICS motion correction algorithm, using data from a respiratory belt or MRI-compatible accelerometers. The motion models were evaluated by comparing the predicted motion to dynamic MRI. The resulting images were also assessed using both quantitative metrics and radiological scoring. Additionally, the accuracy of motion models calculated from high-resolution 2D T2w images was compared to those derived from low-resolution 3D T1w images.

Results: Motion predicted from 2D T2w images matched the dynamic MRI significantly better than that predicted from low-resolution 3D T1w images. Radiological scoring showed that using all accelerometers significantly improved image quality compared to using the belt. A single accelerometer explained only 45-70% of the total sensor data, and combining all sensors led to superior correction overall. No optimal sensor position was identified.

Conclusion: The motion model calculated from 2D T2w images, using the data from all accelerometers, provides the best motion correction quality for supine breast MRI using a wearable coil.

Significance: Selecting the appropriate physiological sensors minimizes motion artifacts and can potentially enhance diagnostic accuracy.

查看原文本刊更多论文

求助全文

约1分钟内获得全文求助全文

来源期刊

IEEE Transactions on Biomedical Engineering 工程技术-工程：生物医学

CiteScore

9.40

自引率

4.30%

发文量

880

审稿时长

2.5 months

期刊介绍： IEEE Transactions on Biomedical Engineering contains basic and applied papers dealing with biomedical engineering. Papers range from engineering development in methods and techniques with biomedical applications to experimental and clinical investigations with engineering contributions.