Electroencephalography (EEG) and functional Magnetic Resonance Imaging (fMRI) are two major functional brain imaging modalities. EEG and fMRI can be recorded simultaneously to measure brain activity and take advantage of both modalities, providing good temporal resolution from EEG signals and high spatial resolution from fMRI. Indeed, the spatial resolution of EEG signals is poor due to the ill-posed inverse problem of source localisation. Previous work has enabled EEG electrode detection using Ultra-Short TE MR images. Building upon a previously introduced method, we adapt and validate it for EEG electrode localization on T1-weighted MRI, thereby extending its applicability to a new imaging modality. By relying solely on T1-weighted images, which is commonly acquired in fMRI protocols, this approach is both simple and easily applicable to existing EEG-fMRI datasets. Although detections are slightly less accurate than those obtained on ultra-short TE sequences, the results remain excellent, with an average detection accuracy of 99.27%, an average positioning error of 2.59 mm, and perfect accuracy in electrode labeling.