Pediatric Brain Tissue Segmentation Using a Snapshot Hyperspectral Imaging (sHSI) Camera and Machine Learning Classifier.
Pediatric Brain Tissue Segmentation Using a Snapshot Hyperspectral Imaging (sHSI) Camera and Machine Learning Classifier.
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DOI：
10.3390/bioengineering10101190
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发表时间：
2023-10-13
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儿童脑肿瘤是第二种最常见的癌症类型，占儿童癌症类型的四分之一。脑肿瘤切除手术仍然是脑癌最常见的治疗选择。在术中评估肿瘤边缘时，外科医生必须发送组织样本进行活检，这可能是耗时的，并且并不总是准确或有用的。快照高光谱成像（sHSI）相机可以捕捉人类视觉光谱之外的场景，并提供实时指导，我们的目标是从接受脑肿瘤切除术的儿科患者的病变中分割健康的脑组织。在机构研究委员会的批准下，Pro 00011028，139个红-绿-蓝（RGB），279个可见光和85个红外sHSI数据从四个受试者中收集，系统集成到手术显微镜中。使用随机森林分类器进行数据分析。RGB、红外sHSI和可见sHSI模型分别实现了0.76、0.59和0.57的平均联合交叉点（IoU），而肿瘤分割实现了0.996的特异性，其次是红外HSI和可见HSI模型，分别为0.93和0.91。尽管考虑儿科病例的数据集较小，但我们的研究利用sHSI技术，在儿科脑肿瘤切除术期间成功地将健康脑组织与病变高度特异性地分割开来。
Pediatric brain tumors are the second most common type of cancer, accounting for one in four childhood cancer types. Brain tumor resection surgery remains the most common treatment option for brain cancer. While assessing tumor margins intraoperatively, surgeons must send tissue samples for biopsy, which can be time-consuming and not always accurate or helpful. Snapshot hyperspectral imaging (sHSI) cameras can capture scenes beyond the human visual spectrum and provide real-time guidance where we aim to segment healthy brain tissues from lesions on pediatric patients undergoing brain tumor resection. With the institutional research board approval, Pro00011028, 139 red-green-blue (RGB), 279 visible, and 85 infrared sHSI data were collected from four subjects with the system integrated into an operating microscope. A random forest classifier was used for data analysis. The RGB, infrared sHSI, and visible sHSI models achieved average intersection of unions (IoUs) of 0.76, 0.59, and 0.57, respectively, while the tumor segmentation achieved a specificity of 0.996, followed by the infrared HSI and visible HSI models at 0.93 and 0.91, respectively. Despite the small dataset considering pediatric cases, our research leveraged sHSI technology and successfully segmented healthy brain tissues from lesions with a high specificity during pediatric brain tumor resection procedures.
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