{"title":"近红外光学定位系统中温度诱发漂移的亚像素偏移补偿方法","authors":"Lingxiang Zheng , Junyan Mei , Rongqian Yang","doi":"10.1016/j.measurement.2025.119097","DOIUrl":null,"url":null,"abstract":"<div><div>Near-infrared optical tracking systems (NIOTS), key components in surgical navigation, are widely used in various surgical procedures. However, thermal expansion within the system can cause sub-pixel shift errors, reducing positioning accuracy in 3D space. To explore these thermal effects and reduce temperature-related deviations, this study analyzes NIOTS parameters across varying temperatures and examines their relationship with thermal changes. A full-field data acquisition setup was developed, and a model was established to describe the link between temperature and sub-pixel shifts. Based on this model, a z axis correction was introduced to compensate for thermal-induced shifts. Experiments show that without compensation, the average measurement was 388.9465 mm, deviating -0.2245 mm from the true value. After compensation, the average improved to 389.1133 mm with a deviation of -0.0577 mm, achieving a 74% error reduction. Furthermore, the model maintained positioning errors within 0.1 mm in all directions during heating. These results confirm that the proposed compensation approach effectively mitigates temperature-induced drift and enhances NIOTS precision, providing a practical solution for stable and accurate surgical navigation.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"258 ","pages":"Article 119097"},"PeriodicalIF":5.6000,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sub-pixel shift compensation method for temperature-induced drift in near-infrared optical positioning systems\",\"authors\":\"Lingxiang Zheng , Junyan Mei , Rongqian Yang\",\"doi\":\"10.1016/j.measurement.2025.119097\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Near-infrared optical tracking systems (NIOTS), key components in surgical navigation, are widely used in various surgical procedures. However, thermal expansion within the system can cause sub-pixel shift errors, reducing positioning accuracy in 3D space. To explore these thermal effects and reduce temperature-related deviations, this study analyzes NIOTS parameters across varying temperatures and examines their relationship with thermal changes. A full-field data acquisition setup was developed, and a model was established to describe the link between temperature and sub-pixel shifts. Based on this model, a z axis correction was introduced to compensate for thermal-induced shifts. Experiments show that without compensation, the average measurement was 388.9465 mm, deviating -0.2245 mm from the true value. After compensation, the average improved to 389.1133 mm with a deviation of -0.0577 mm, achieving a 74% error reduction. Furthermore, the model maintained positioning errors within 0.1 mm in all directions during heating. These results confirm that the proposed compensation approach effectively mitigates temperature-induced drift and enhances NIOTS precision, providing a practical solution for stable and accurate surgical navigation.</div></div>\",\"PeriodicalId\":18349,\"journal\":{\"name\":\"Measurement\",\"volume\":\"258 \",\"pages\":\"Article 119097\"},\"PeriodicalIF\":5.6000,\"publicationDate\":\"2025-09-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Measurement\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S026322412502456X\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Measurement","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S026322412502456X","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
Sub-pixel shift compensation method for temperature-induced drift in near-infrared optical positioning systems
Near-infrared optical tracking systems (NIOTS), key components in surgical navigation, are widely used in various surgical procedures. However, thermal expansion within the system can cause sub-pixel shift errors, reducing positioning accuracy in 3D space. To explore these thermal effects and reduce temperature-related deviations, this study analyzes NIOTS parameters across varying temperatures and examines their relationship with thermal changes. A full-field data acquisition setup was developed, and a model was established to describe the link between temperature and sub-pixel shifts. Based on this model, a z axis correction was introduced to compensate for thermal-induced shifts. Experiments show that without compensation, the average measurement was 388.9465 mm, deviating -0.2245 mm from the true value. After compensation, the average improved to 389.1133 mm with a deviation of -0.0577 mm, achieving a 74% error reduction. Furthermore, the model maintained positioning errors within 0.1 mm in all directions during heating. These results confirm that the proposed compensation approach effectively mitigates temperature-induced drift and enhances NIOTS precision, providing a practical solution for stable and accurate surgical navigation.
期刊介绍:
Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.