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Apart from brain studies, analog SPECT data was reconstructed using OSEM reconstruction [12] routinely used in the department, with 64 Gantry positions, 2 iterations, and 10 subsets, and was filtered using a Butterworth filter with cutoff frequency in the range of 0.33 0.5 and power of 10.

Analog brain studies were reconstructed using filtered back projection with Chang attenuation correction [13] and were filtered by a Metz filter with a point spread of 4 mm and power of 3. Digital CZT SPECT data was reconstructed using the proprietary OS-MAP iterative reconstruction algorithm as previously described, with median root prior (MRP) [14].

Data was reconstructed using the FORE algorithm and FBP.

The data was reconstructed using OP-OSEM [3] with 41 iterations.

The data was reconstructed using a 3 GHz PC with 1 GB RAM.

Early time-point PET data was reconstructed using both the early and delayed μmaps.

The acquired emission data were reconstructed using iterative reconstruction (two iterations, eight subsets), with attenuation, random, and scatter correction, and a post-reconstruction Gaussian filter of 7 mm was applied.

The acquired data were reconstructed using iterative reconstruction ordered subset expectation maximization (OSEM) 3-D FLASH (8 subsets and 10 iterations).

CT data were reconstructed using an iterative reconstruction algorithm (iDose, Philips Healthcare, Cleveland, OH, USA) with iDose level 4 and a slice thickness of 3 mm.

So, if the same raw data were reconstructed using a different reconstruction method, the resulting images might be of better or worse quality, but they would have the same NECpatient.

Whole-body list mode PET data were reconstructed using the offline sorting and reconstruction programs included in the e7 toolbox (Siemens Healthineers, Erlangen, Germany; version VA20).