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Positron Emission Tomography (PET) benefits from depth-of-interaction (DOI) information to correct parallax errors introduced by thick scintillator crystals, especially in dedicated brain systems where edge-of-field DOI effects are most pronounced. Conventional light-sharing window (LSW) readout is limited to a four-to-one or two-to-one crystal-to-photodetector coupling and cannot decode DOI for central crystals under nine-to-one coupling schemes. This work proposes a novel detector architecture that overcomes these limitations, enabling DOI decoding for all crystals.We designed a LYSO scintillator array (1×1×20 mmcrystals in a12×15matrix) coupled to a4×5Hamamatsu MPPC array, incorporating transparent-interface LSWs. A nine-to-one coupling configuration was implemented, using collimation experiments and interpolation, a transfer function linking DOI to the MPPC signal ratio (ROM) was constructed. The detector performance was evaluated using floodmaps and energy spectrum, and the DOI mean absolute error (MAE) was calculated at interaction depths of 4 mm, 8 mm, 12 mm, and 16 mm in collimation experiments.The detector achieved an energy resolution of 11.8%. DOI MAEs at 4, 8, 12, and 16 mm were 2.34, 2.71, 3.73, and 5.37 mm, respectively, yielding an average MAE of 3.54 mm. DOI decoding was successfully performed for all crystals, including those centrally coupled. Compared to conventional LSW-based configurations, the detector achieved more than a 1.5-fold improvement in spatial resolution.The transparent-interface LSW design enables consistent DOI decoding across all scintillator elements at elevated coupling ratios. Moreover, by reducing pixel dimensions and enabling full-array DOI extraction, this architecture delivers superior positioning accuracy and spatial resolution, making it ideally suited for small animal PET and dedicated brain PET.
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http://dx.doi.org/10.1088/1361-6560/adf9b3 | DOI Listing |
Bioinformatics
August 2025
Department of Computer Science, Tufts University, MA, USA.
Motivation: Genomic language models have recently emerged as a new method to decode, interpret, and generate genetic sequences. Existing genomic language models have utilized various tokenization methods, including character tokenization, overlapping and non-overlapping k-mer tokenization, and byte-pair encoding, a method widely used in natural language models. Genomic sequences differ from natural language because of their low character variability, complex and overlapping features, and inconsistent directionality.
View Article and Find Full Text PDFMicrobiol Spectr
August 2025
Biomedical Sciences and Molecular Biology, College of Medicine and Dentistry, James Cook University, Townsville, Queensland, Australia.
High-throughput transposon mutagenesis methods, such as transposon sequencing, are powerful tools for genome-wide identification of essential and conditionally essential genes in bacterial pathogens. In a recent study, Y. Zhang, R.
View Article and Find Full Text PDFImaging Neurosci (Camb)
July 2024
Department of Neuroscience, Northwestern University, Chicago, IL, United States.
How does the human brain generate coherent, subjective perceptions-transforming yellow and oblong visual sensory information into the perception of an edible banana? This is a hard problem. According to the standard viewpoint, processing in groups of dedicated regions-identified as active "blobs" when using functional magnetic resonance imaging (fMRI)-gives rise to perception. Here, we reveal a new organizational concept by discovering that stimulus-specific information distributed throughout the whole brain.
View Article and Find Full Text PDFJ Stomatol Oral Maxillofac Surg
August 2025
Dept. of Oral Pathology and microbiology, Saveetha Dental College & Hospitals, Saveetha institute of medical and technical sciences, Chennai 600077, Tamilnadu, India.. Electronic address:
Oral squamous cell carcinoma (OSCC) is the most common oral cancer, with rising incidence rates due to several risk factors. In this study, the clinicopathological characteristics and disease-free survival (DFS) of OSCC patients are explored, emphasising age-related prognostic differences. A retrospective analysis was conducted on cases diagnosed in 2022 at an exclusive oral cancer hospital, using the College of American Pathologists (CAP) protocol and AJCC 8th edition staging.
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