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We propose a sender-based rate-distortion optimized framework to stream scalable bitstreams of 3-D wavelet video stored at the sender to a remote receiver. Based on the requests and feedback from the receiver, the source rate-distortion profiles, the desired playout latency and transmission rate, and the network characteristics, the sender optimizes the responses sent to the receiver throughout the video playout session in order to minimize the distortion in the reconstructed frames. Rate-distortion optimized response is formulated as a convex optimization problem, and an offline-computation approach is proposed to further reduce the complexity at the sender. Experimental results show that the proposed sender-based approach outperform the receiver-based approach, and the offline-computation approach very closely approximates the fully-optimized approach.