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Mim 7

Manufactured by MIM Software

MIM 7.0.5 is a software application designed for medical imaging and analysis. It provides tools for visualizing and processing medical images, such as CT scans, MRI, and PET scans. The software supports a variety of file formats and includes features for image registration, segmentation, and quantitative analysis.

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2 protocols using mim 7

1

Quantifying Tumor Burden with PET/CT

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All patients had baseline 18F-FDG PET/CT scans before lymphodepletion and CD30.CAR-T cell infusion. In patients who had a 18F-FDG PET/CT prior to bridging therapy, these scans were evaluated for MTV to provide a tumor burden comparison before and after bridging therapy. 18F-FDG PET/CT scans were evaluated using MIM 7.0.5 (MIM Software, Cleveland, OH). MTV was computed using the threshold tool in MIM with a threshold 41% of the maximum standardized uptake value (SUV), or SUVmax, as described elsewhere.10-14 (link) The lesion was manually selected and the region of interest increased until all voxels at least 41% of the SUVmax (Figure 1). MTV for each patient was determined by summing the volumes of lesions with voxels at least 41% of the SUVmax.
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2

2-[18F]FDG PET/MRI and PET/CT Imaging Protocol

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Patients fasted for at least 6 h before the 2-[18F]FDG PET study. The serum glucose level was determined at the time of 2-[18F]FDG injection, and all patients demonstrated a glucose level below 120 mg/dL. 2-[18F]FDG PET imaging was performed at 60–70 min after intravenous administration of 3.7–5.2 MBq/kg (0.10–0.14 mCi/kg) of 2-[18F]FDG as recommended by SNMMI/EANM guidelines, using either a 3-T PET/MRI scanner (n = 20; Signa GE Healthcare, Milwaukee, Wis) and a PET/CT scanner (n = 3; Siemens, Malvern, PA). The PET data acquisition time was 3:30 min per bed position for the PET/MRI (89 slices per bed position) for 5–9 bed positions and 3 min per bed position for PET/CT (47 slices per bed position) in six bed positions with 11-slice overlap at the edge of the axial field of view.
PET images were reconstructed using the Ordered-Subset Expectation Maximization (OSEM) algorithm with 2 iterations and 32 subsets for PET/CT and with 2 iterations and 28 subsets for PET/MRI. A non-contrast-enhanced low dose CT and 2-point Dixon sequences were used for attenuation correction of PET/CT and PET/MRI images, respectively. The resultant attenuation-corrected 2-[18F]FDG PET images were color encoded using MIM software (MIM 7.0.5; MIM Software, Beachwood, Ohio) and fused with CT or MRI scans.
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