V1.0.4.6 patch release

Make Mosek and pydicom optional dependencies. One can install them if needed using pip install portpy[mosek] or pip install portpy[pydicom]

V1.0.4.5 Patch release

Fix evaluation.py to display clinical criteria

V1.0.4.4 Patch release

Patch fix:

1. Visualization.py: Fix bugs when adding multiple dvh on top of each other. Add robust dvh plot. Add option to show rx.
2. write_plan_imrt: fix bug related to jaw
3. save_nrrd.py: Add dose_1d to arguments
4. Fix bug in structures.py related to print warning

v1.0.4.3 Patch release

V1.0.4.3 Patch release:

1. Visualization.py: dose > 0 criteria removed for visualization
2. influence_matrix.py: Down-sampling beamlets when removing corner beamlets

V1.0.4.2 Patch release

V1.0.4.2 Bug fixes in vmat_scp_optimization.py and beams.py

1. Resolving python rounding issue. Use ceil instead of round for step size change
2. Modified beams.py so that beam ids can take integer or string values
3. Minor updates in examples

v1.0.4.1

V1.0.4.1:

1. Added notebooks for a. VMAT SCP based dose prediction pipeline. b. VMAT SCP plan import to TPS
2. Modified examples directory structure and filenames.
3. Added methods in vmat_scp for dose prediction pipeline
4. Fixed bug in predict_using_model() method in portpy.ai module.

v1.0.4

V1.0.4 Release:

1. Added module SCP based VMAT optimization (PortPy.Photon.VmatScp)
2. Bug fixes related to evaluation and visualization of plan
3. Added example for SCP based VMAT opt
4. Added feature for creating rt plan DICOM file for PortPy VMAT plan, which can be further imported to any TPS

Fix Evaluation.py for additional type of constraints

Fix Evaluation.py display_clinical_criteria() for displaying all type of dvh constraints

v1.0.3.1

Patch release. Fix bug in influence_matrix.py and structures.py.

V1.0.3

V1.0.3: Bug Fix in influence_matrix.py while down sampling full influence matrix