dicom images to matlab variables  (MathWorks Inc)

Journal: bioRxiv

Article Title: Using Imaris to rigorously track PET-defined sites of lung inflammation in Mycobacterium tuberculosis -exposed non-human primates

doi: 10.1101/2025.07.04.663191

Figure Lengend Snippet: We illustrate how PET/CT scans are typically analyzed with Invicro VivoQuant, the standard proprietary packages for PET/CT data analysis ( A ), and with Imaris, proprietary packages typically used for fluorescent microscopy data analysis ( B ). A : With Invicro VivoQuant (i-iv) , the operator analyzes reconstructed 3D images by using 2D slices and manually labeling contours of the lesions, defined by PET signal. Invicro VivoQuant then provides various SUV characteristics, such as max SUV, for ether individual lesions or the whole lung. B : With Imaris (i-vi) , PET/CT DICOM files are imported as 2-channel images, and scans done at different times can be incorporated into the same Imaris file by adding new time frames. Then scans for different time points are aligned using “Correct for drift” routine by using landmarks (6 locations of spine vertebra). Then region of interest ( ROI ) is then identified around each suspected lesion and the data in ROI is processed using 3D routine “Surfaces”. All lesions then can be grouped into the specific group depending on the location of the lesion (e.g., lung vs. lymph nodes).

Article Snippet: One of the main challenges in translatability of the analysis of PET/CT scans from DICOM viewers to Imaris was the lack of a feature or algorithm in Imaris capable of automatically converting channel intensity units to SUV, which is the standard metric used to measure FDG radiotracer absorption in various lung lesions.

Techniques: Positron Emission Tomography-Computed Tomography, Microscopy, Labeling

Journal: Scientific Reports

Article Title: A novel 2D MTMHM based key generation for enhanced security in medical image communication

doi: 10.1038/s41598-025-10485-1

Figure Lengend Snippet: Histogram analysis (a) DICOM image (b) Histogram of DICOM image (c)encrypted image (d)Histogram of encrypted image.

Article Snippet: DICOM image samples are downloaded from Normal Brain MRI Dataset (kaggle.com).

Techniques:

Journal: Scientific Reports

Article Title: A novel 2D MTMHM based key generation for enhanced security in medical image communication

doi: 10.1038/s41598-025-10485-1

Figure Lengend Snippet: Correlation analysis of plain Dicom image (a)DICOM image (b) Horizontal correlation (c) Vertical correlation (d) Diagonal Correlation.

Article Snippet: DICOM image samples are downloaded from Normal Brain MRI Dataset (kaggle.com).

Techniques:

Journal: Scientific Reports

Article Title: A novel 2D MTMHM based key generation for enhanced security in medical image communication

doi: 10.1038/s41598-025-10485-1

Figure Lengend Snippet: Key sensitivity Analysis (a)original DICOM image (b)encrypted image (c) varied key encrypted image (d)difference between the encrypted and the varied encrypted image.

Article Snippet: DICOM image samples are downloaded from Normal Brain MRI Dataset (kaggle.com).

Techniques:

Journal: bioRxiv

Article Title: Using Imaris to rigorously track PET-defined sites of lung inflammation in Mycobacterium tuberculosis -exposed non-human primates

doi: 10.1101/2025.07.04.663191

Figure Lengend Snippet: We illustrate how PET/CT scans are typically analyzed with Invicro VivoQuant, the standard proprietary packages for PET/CT data analysis ( A ), and with Imaris, proprietary packages typically used for fluorescent microscopy data analysis ( B ). A : With Invicro VivoQuant (i-iv) , the operator analyzes reconstructed 3D images by using 2D slices and manually labeling contours of the lesions, defined by PET signal. Invicro VivoQuant then provides various SUV characteristics, such as max SUV, for ether individual lesions or the whole lung. B : With Imaris (i-vi) , PET/CT DICOM files are imported as 2-channel images, and scans done at different times can be incorporated into the same Imaris file by adding new time frames. Then scans for different time points are aligned using “Correct for drift” routine by using landmarks (6 locations of spine vertebra). Then region of interest ( ROI ) is then identified around each suspected lesion and the data in ROI is processed using 3D routine “Surfaces”. All lesions then can be grouped into the specific group depending on the location of the lesion (e.g., lung vs. lymph nodes).

Article Snippet: Upon import of DICOM scans (CT + PET) in Imaris, scan signals are converted into channel intensities.

Techniques: Positron Emission Tomography-Computed Tomography, Microscopy, Labeling