Integrated HSI-MRI Approach for Tumor Identification in Neurosurgical Procedures

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The integration of MRI and HSI enhances tumor identification in neurosurgery by combining structural and biochemical information.
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MRI serves as the gold standard for preoperative planning, but its accuracy decreases intraoperatively due to brain shift.
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HSI provides continuous, non-ionizing spectral data from brain tissue, capturing biochemical variations not visible in MRI.
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Machine learning, particularly XGBoost, is essential for analyzing HSI data to improve classification of tissue types.
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The study develops a novel visualization system and evaluates multimodal registration strategies for effective tumor resection guidance.

Int. Journal Of Computer Assisted Radiology And Surgery (Springer)

by Manuel Villa, Jaime Sancho, Gonzalo Rosa-Olmeda, Aure Enkaoua, Miguel Chavarrías, Eduardo Juarez
April 25, 2026

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