journal of biomedical imaging vol 2012 article id 792079 incorporated by reference herein a linear output bp algorithm can be used after training the supervised dose reduction converter block 216 is able to assess sub regions sub volumes of incoming non training input images from block 218 and convert those to output pixel voxel values and resulting images at block 220 similar to or close to the corresponding values as would appear in an hdct image of the same corresponding structures thus the supervised dose reduction technique acquires the function of converting ldct images with noise and artifacts into hd like ct images with less noise or fewer artifacts as in the illustrated examples fig3 a illustrates an example of conversion of a non training input lower quality image in this case an ldct image the image taken with a dosage of 0 1 msv is characterized by relatively high noise e g having a signal to noise ratio snr of 4 2 db and various spurious artifacts the same image after conversion to a higher quality image in this case an hdct like image having a much higher snr of 9 7 db is provided in fig3 b the 4 5 db improvement in snr corresponds.