Purpose: To evaluate a magnetic resonance (MR)/ultrasound (US) coregistration system with US used in follow-up diagnostic studies of lesions originally identified by MR imaging.
Materials And Methods: A single-center prospective study enrolled 21 consecutive patients (age, 64.0 y±7.5; eight men [age, 63.0 y±7.1] and 13 women [age, 65.0 y±7.3]) evaluated for potential surgical resection of liver metastases. Each patient underwent same-day MR examination and two US examinations: one regular and one with the MR/US coregistration system. Target lesions were identified on MR imaging, and US was used in follow-up diagnostic studies of lesions originally identified by MR imaging. During US, two outcome measures (target localization success and target localization time) were collected. Ratios of lesions found per patient were compared with a paired Wilcoxon test, and a Student t test was used to compare target localization time.
Results: Ratios of lesions found per patient with the coregistered system (93.7%) and conventional US (73.3%) were statistically different (P =.003). Lesions found by the coregistration system but not conventional US were statistically smaller than those found by both systems (6.1 mm±4.0 vs 15.6 mm±9.8; P<.0006). There was no statistical difference in target localization time for detection of lesions found by coregistered (100 s±89) and conventional US (108 s±86; P = .78).
Conclusions: The MR/US coregistration system increases the number of lesions detected with US versus standard US alone. This may prove beneficial in surgical and nonsurgical management of patients with focal liver lesions.
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http://dx.doi.org/10.1016/j.jvir.2012.11.018 | DOI Listing |
Sensors (Basel)
January 2025
Satellite Application Division, Korea Aerospace Research Institute (KARI), Daejeon 34133, Republic of Korea.
For change detection in synthetic aperture radar (SAR) imagery, amplitude change detection (ACD) and coherent change detection (CCD) are widely employed. However, time-series SAR data often contain noise and variability introduced by system and environmental factors, requiring mitigation. Additionally, the stability of SAR signals is preserved when calibration accounts for temporal and environmental variations.
View Article and Find Full Text PDFSci Rep
January 2025
Hannover Centre for Optical Technologies (HOT), Leibniz University Hannover, Hannover, Germany.
Hyperspectral imaging (HSI) systems acquire images with spectral information over a wide range of wavelengths but are often affected by chromatic and other optical aberrations that degrade image quality. Deconvolution algorithms can improve the spatial resolution of HSI systems, yet retrieving the point spread function (PSF) is a crucial and challenging step. To address this challenge, we have developed a method for PSF estimation in HSI systems based on computed wavefronts.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.
This paper describes the design and initial proof-of-concept of a single pre-clinical transcranial focused ultrasound (FUS) system capable of performing histotripsy (mechanical ablation), hyperthermia, blood-brain barrier opening (BBBO), sonodynamic therapy, or neuromodulation in a murine brain. We have termed it the All-in-One FUS system for murine brain studies, which is the first FUS system of its kind. The 1.
View Article and Find Full Text PDFNeurooncol Adv
November 2024
Department of Otolaryngology - Head and Neck Surgery, McGill University, Montreal, Quebec, Canada.
Background: Brain metastasis invasion pattern (BMIP) is an emerging biomarker associated with recurrence-free and overall survival in patients, and differential response to therapy in preclinical models. Currently, BMIP can only be determined from the histopathological examination of surgical specimens, precluding its use as a biomarker prior to therapy initiation. The aim of this study was to investigate the potential of machine learning (ML) approaches to develop a noninvasive magnetic resonance imaging (MRI)-based biomarker for BMIP determination.
View Article and Find Full Text PDFJ Nucl Med
December 2024
Department of Nuclear Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Beijing Key Laboratory of Molecular Targeted Diagnosis and Therapy in Nuclear Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
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